SlideShare ist ein Scribd-Unternehmen logo
1 von 16
Downloaden Sie, um offline zu lesen
Dugger FGF8-b
Aptamer Selection against Mammalian Fibroblast Growth Factor 8 b for Early Detection of
Prostate Cancer
Samuel Dugger
October 8, 2013
Fall 2013
N71 RNA Pool
Talon Bead-based Selection
Mammalian Fibroblast Growth Factor 8 b Isoform
Dugger FGF8-b
Abstract:
Despite major advances in oncology over the past few years, cancer still remains one of the most
prevalent and deadly diseases affecting mankind today. Even in developed countries like the United
States, cancer is one of the top causes of death besides heart disease (Jemal et al, 2011). Although the
word “cancer” is used to describe a family of diseases rather than a specific ailment, all cancers are
identified by unregulated cell division that results in the formation of tumors that may spread throughout
the body (Croce, 2008). Recent studies have suggested that fibroblast growth factors (FGFs) may
contribute to the growth of cancers. Overexpressed FGF8b in particular has been linked with prostate
cancer (Kwabi-Addo, 2004).
The main objective of this research is to find an aptamer that could detect FGF8b. Aptamers are
oligonucleotides with a high binding affinity for certain molecules, and they have a variety of applications
in areas such as drug delivery, diagnostics, therapeutics, developmental biology, and systems and
synthetic biology. They have also been proven to be more accurate, more durable, and cheaper to produce
than antibodies (which are often used for similar reasons). No custom antibodies have been successfully
produced that can locate this target, and aptamers could prove to be the solution.
Successfully isolating and amplifying an aptamer that can locate FGF8b could help doctors detect
prostate cancer in earlier stages and vastly improve patient survival rates. Additionally, this aptamer could
be used for targeted drug delivery by carrying cell-destroying chemicals specifically to cancer cells.
Specific Aim: To isolate and amplify an RNA aptamer that binds specifically to FGF8b.
Budget/Ordering: Shawn Piasecki of the Keatinge-Clay Lab provided last year’s his-tagged
FGF8b stock and will continue to do so. Thus, pricing information from this source in particular is
unknown, but untagged human FGF8b may be purchased in quantities of 100 ug for $187.16 from US
Biological.
Figure 1. This crystallographic image depicts an aptamer (in green) binding
to a target molecule, taken from Limson (2013).
Dugger FGF8-b
Figure 1. Diagram of the SELEX selection
process. A large pool of random RNA is
incubated with a target, and binding species
are isolated. These species are amplified and
used to start another cycle, taken from Cass
(2011)
Introduction:
Few diseases today can match the prevalence and lethality of cancer. As their populations
age and become more sedentary, even developed countries like the United States have to deal with rising
cancer rates. Recent estimates suggest that as many as 7.6 million people died of cancer in 2008, making
it the leading cause of death for that year (Jemal et al, 2011). Prostate cancer in particular has been
identified as the second most common form of cancer in men, and it was responsible for 28,088 deaths in
2009 (US Cancer Statistics Working Group, 2013). Although the word “cancer” actually refers to a
family of related diseases rather than a specific illness, all cancers involve unregulated cell division.
Although a series of biochemical checkpoints normally ensures that a “malfunctioning” cell undergoes
programmed cell death (called apoptosis), cancerous cells have genetic mutations that allow them to
bypass these measures (Croce, 2008).
Studies have indicated that a family of proteins, known as Fibroblast Growth Factors, is directly
related to the development of cancers. Fibroblast growth factors in vertebrates can range from 17 to 34
kilodaltons (kDa) in size and play an important role in the development of embryos: each FGF is
responsible for a different aspect of growth. Mammalian growth factor (FGF8b), the growth factor that
was targeted in this study, has a weight of 24,148 Da and affects central nervous system development and
limb development, as well as gastrulation. . FGF8b is found as a monomer. There are 22 members in the
human FGF family, and all require heparan sulfate in order to bind to FGF receptors. Most FGFs
(including FGF8b) are excreted by cells and are typically found in the extracellular matrix (Ornitz and
Itoh, 2001).
A method of successfully detecting
overexpressed FGFs in cells could help oncologists
locate early-stage cancer patients before treatment
becomes difficult. Increased expression of FGF8b
in particular is a known indicator of prostate cancer
(Kwabi-Addo, 2004). Despite attempts by
numerous labs specializing in
immunohistochemistry, attempts to create custom
antibodies to locate this target have failed due to
low specificity and high costs. For this reason, an
aptamer with a high binding affinity for an FGF
would be highly desirable.
Aptamers are oligeonucleotides (or
sometimes peptides) that bind to a specific
Dugger FGF8-b
molecule. Aptamers are superior to antibodies for a number of reasons, most of which stem from the way
they are created. Aptamers are developed through an in vitro selection process involving the isolation of
high-binding species from a large pool in a process known as Systematic Evolution of Ligands by
Exponential enrichment), or SELEX (Ni, 2011). In a standard SELEX selection round, binding species of
oligeonucleotides are incubated with a target, filtered out, and reamplified for another round as is shown
in figure 1(adapted from Proske, 2005) . In vitro selection (meaning in artificial conditions AKA test
tubes) means that aptamers can be developed for a wider range of conditions than antibodies (which have
to be made in vivo, or in the body). Aptamers are also significantly cheaper and easier to make, and they
have a longer shelf life. Furthermore, aptamers cannot provoke unwanted immune responses, and their
smaller size makes them more specific by making them better transduction groups for biosensors (Keefe,
2010). Figure 2 shows how aptamers and antibodies can be combined to form extremely potent and
highly specific therapeutic agents that have greater pharmacokinetic properties than their parents
(Wuellner, 2010).
Dr. Anne Moon at Geisinger Health System in Danville, PA has specifically requested an aptamer
for FGF8b to be used in localization studies. There are many other labs working with FGF8b, such as the
Roy-Burman Lab at USC (Chen, 2005). The Presta Lab at the University of Brescia in Italy has studied
the soluble pattern recognition receptor long petraxin-3 as an antagonist of FGF8b, acting to prevent it
from binding to its receptors and inhibiting the development of tumor cells as a result (Leali, 2011).
Before beginning SELEX, it is important to confirm that aptamers have not already been made
for the desired target. As of September 2013, no aptamers had been isolated for FGF8b. It is also critical
to consider the downstream applications of the aptamer when selecting, such as the location where the
aptamer will be used. In this case the desired aptamer, if found, would be used in the human body as a
diagnostic for cancer. Aptamers could be fluorescently tagged prior to injection into the body, so that they
can be used to locate small tumors. FGF8b, while not known specifically for binding nucleic acids, has a
positive charge in solution, and its isoelectric point is greater than 10. Oligeonucleotides like RNA have a
slight negative charge, so it was assumed that RNA species would bind easily to the target even though
FGF8b does not typically bind to nucleic acids in nature.
There are different selection methods that can be used to isolate high-binding RNA species: these
include magnetic bead, columns, and filters. This lab uses bead-based selection which involves
immobilizing a target protein on a set of beads in a tube. In order for this to work, the target protein must
first be “tagged” with a special chemical group such as histadine. Histadine has a high affinity for nickel
and will readily stick to nickel-coated beads.
Dugger FGF8-b
Once an aptamer has been found, a self-assembling aptamer-micelle nanostructure can be made to
internalize the aptamer into the cell (Wu, 2010). This aptamer could then be injected into the body to
detect prostate cancer.
Alternatively, this
aptamer could be
attached to a
nanoparticle to
generate a targeted
nanoparticle. A
chemotherapeutic
agent such as
docetaxel could then be encapsulated within this structure to increase cytotoxicity (Xiao et al, 2012).
Materials and Methods:
The nickel-nitrilotriacetic acid (Ni-NTA) beads were stored in a buffer containing 200 mM NaCl,
1 mM MgCl2, and 10 mM tris(hydroxymethyl)aminomethane (tris) at a pH of 7.4 at a temperature of 4°C.
Table 1 shows the initial conditions for each round (table 2 gives the RNA : target ratio and wash
volume/numbers). Prior to the actual selection, the beads that were used were pre-washed three times with
the selection buffer. The mFGF8b was then allowed to immobilize on the beads for 30 minutes at room
temperature. While this occurred, the previous round’s N40B RNA pools (R0 N40B pool for first round)
were incubated at 65°C for 3 minutes with selection buffer and allowed to cool (so that they could fold
into their most stable structure). During the rounds with negative selections, these pools were first
incubated with a tube of beads containing no proteins. The buffer from this process was then drained out
and added to the beads with the target (which removed the RNA that was sticking to the beads rather than
the target). The beads with the protein were then rewashed with selection buffer three times (to remove
the unbound protein) and set to incubate with the RNA pool. The plus/minus selection conducted in round
4 followed a similar process to the negative selection except that the negative RNA (with only beads) was
also washed off, reverse transcribed, and amplified by cycle course. This was compared with a normal
cycle course from the positive (regular) selection in order to confirm that the RNA was primarily binding
to the target rather than the beads. Afterwards, the unbound pool was isolated from the beads. These
beads were then washed with selection buffer, and the solution was then removed and labeled as W1
(wash one). This was repeated until the last wash. Here, the beads along with the buffer were placed in a
new tube before the wash was removed (to get rid of plastic binding species). The RNA species that were
Figure 2. Aptamers and Antibodies working together. Aptamers can be
linked to antibodies for greater accuracy and survivability, adapted from Wuellner
(2010).
Dugger FGF8-b
actually bound to the beads were then removed by vortexing in hot (80°C) water. The unbound pool
(WO), last wash (W3 or W5), and the eluted binding pool (E1) that resulted from these selections were
concentrated with standard ethanol precipitation using 1/10th
volume 0.3 M NaOAc at pH 5.2, 3 uL
glycogen, and 2.5 volumes pure ethanol. This was chilled at -80°C for fifteen minutes and centrifuged at
max speed for ten minutes. The supernatant was removed, and 400 uL of chilled 70% ethanol was added
to the precipitate which was chilled on ice for two minutes, re-centrifuged for five minutes, and dried in a
speedvac for ten minutes. All subsequent precipitations were performed in the same way. The pellet was
resuspended in 20 uL diH2O (at a high enough concentration to be reverse transcribed).
A 20 uL mixture containing concentrated RNA (from W0, W3/W5, and E1), 20 uM N40B
reverse (R) primer, and 0.5mM deoxyribonucleotides (dNTPs) was heated at 65°C for 5 minutes and
cooled to room temperature. A mixture of this and First Strand buffer, 0.01M DTT, and 1 uL SuperScript
II Reverse Transcriptase (SSII RT) was then incubated at 42°C for fifty minutes, inactivated at 70°C for
fifteen minutes, and cooled to 4°C for storage (reverse transcription, RT). A 100 uL cycle course
polymerase chain reaction (PCR) was performed to determine the optimal number of cycles for large
scale (ls) PCR: a mixture of PCR buffer (10 mM Tris-HCl pH 8.3, 50 mM KCl, 2 mM MgCl2), 0.2 mM
dNTP, 0.4 uM 88.35 forward (F) primer, 0.4 uM 20.35 reverse (R) primer, 2 uL single stranded (ss) DNA
from RT (three different samples), 4 U Taq DNA polymerase, and diH2O was put through twenty cycles
of PCR. The conditions were: 94°C for two minutes (only once), 92°C for forty-five seconds, 54°C for
forty-five seconds, 72°C for one minute, repeat nineteen times, chill at 4°C. A 5 uL sample was removed
from each of the three at six cycles, nine cycles, twelve cycles, fifteen cycles, and twenty cycles and
mixed stained with 1 uL ethidium bromide (EtBr). These samples were then run on a 3.8% agarose gel for
thirty-five minutes at 120 volts along with a no template control (NTC) and a DNase control (only in
round 2, using “purified” RNA from the last round). The number of cycles that produced the best band for
E1 was chosen for large scale PCR.
The lsPCR contained the same reagents as the cycle course but divided into six tubes.
These were cycled based on the results of the cycle course and then run on a gel (along with another
NTC). The lsPCR was concentrated with ethanol precipitation and resuspended in 20 uL of diH2O. This
precipitate was used as a template in a 20 uL transcription (TNX) reaction along with other reagents:
TNX buffer, 10 mM DTT, 7.5 uM of each nucleoside triphosphate (ATP, CTP, UTP, and GTP in that
order), ~800 ng double stranded (ds) DNA from lsPCR, diH2O, and 2 uL T7 RNA polymerase enzyme
solution. This was incubated at 37°C overnight and combined with 1 uL of DNase I enzyme solution for
another fifteen minutes at 37°C. The enzyme was quenched with 21 uL (one reaction volume) of blue
denaturing dye containing 7 M urea, EDTA, and bromophenol blue. This was denatured by heating for
three minutes at 65°C and added to a polyacrylamide gel made with 8% denaturing acrylamide, 25 uL of
Dugger FGF8-b
Table 1. This table shows the selection
conditions used in each round.
tetramethylethylenediamine (TEMED), and 0.04% ammonium persulfate (APS). The gel was run at 450
volts for one hour, and the transcription product was located with a UV light and TLC plate. This product
was cut out and placed in 850 uL of TE for overnight elution. In R2, the gel was instead crushed and
mixed with 400 uL of 0.3M NaOAc and TE. This was heated at 80°C for five minutes and centrifuged at
max speed for one minute. The eluate was removed and added to a red dot Ultrafree-MC spin filter tube
for three minutes of centrifugation filtration. This was repeated a second time with the gel chunks to skip
the overnight elution step and achieve a greater yield. After elution, ethanol precipitation was performed
as before and the pellet was resuspended in 30 uL of diH2O. This precipitated RNA was then quantitated
with a Nanodrop spectrophotometer and used for the next round (four rounds were performed as of this
report with one in progress).
Progress, Results, and Discussion:
The selection process as a whole involved repeating several rounds to isolate and amplify highly
specific RNA before performing a binding assay and sequencing. Early on, there were very few points
where it was possible to check for error. The ethanol precipitations of the round one E1, W0, and W3 all
produced pellets, indicating the possible presence of RNA (although it could have been only salt). In
contrast, the same step in the second round produced only one pellet which was found in W0. However,
missing pellets do not mean absent RNA (they are usually just too small to see), and subsequent cycle
course PCRs in both rounds provided decent results.
In all cycle courses, the W0 showed the earliest amplification and the final wash showed the
latest. This was expected because the majority of the RNA did not bind to the target. Instead, this RNA
R1 – R3 R4 – R5
Pool N71 (dsDNA = 132
bp, RNA = 112 nt)
N71
Incubation Time/
Temperature
25 minutes at 37°C 25 minutes at 37°C
Buffer and pH 1X PBS pH 7.4 1X PBS pH 7.4
Salt and Ion
Concentration
1 mM Phosphate,
13.7 mM NaCl, 2.7
mM KCl, 5 mM
MgCl2
1 mM Phosphate,
13.7 mM NaCl, 2.7
mM KCl
Dugger FGF8-b
ended was washed away in W0 and amplified the most out of all the washes. By the last wash, most of the
RNA was washed off with the remaining material staying attached to the target. That is why the elution
showed slightly more amplification than the last wash. The R1 cycle course had no NTC bands, but the
R2 cycle course had a very faint line that was similar to its cycle 9 E1. Rounds 3 and 4 produced no NTC
bands, but round 5 had a thin one. Also, the DNase control showed up in every round it was performed
(R2, R3 and R5) which meant that some residual template DNA from the prior round was not completely
eliminated, presumably due to the low activity of the DNase I enzyme. These issues were judged minor
enough to continue with the selection, so an lsPCR was performed with both (14 cycles for R1 and 12
cycles for R2). The picture of the R1 lsPCR was lost and is not included here, but it showed a bright E1
band with no overamplification and no NTC band. The R2 lsPCR turned up with the same results. In both
cases, this meant that the selection could be continued without any change in selection conditions. In both
of the new rounds (see problems encountered for explanation), a new pool (N71) was used. Both times,
double bands were produced during over amplification. In order to ensure that this problem would not
arise in the lsPCR (which would have entailed starting over), a very small number of cycles was used in
both new lsPCRs (9 cycles both times). Fortunately, both lsPCRs showed single and clear bands. In the
third round, the cycle course was too faint to determine cycles for lsPCR (see Problems Encountered).
Therefore, the selection was started over for round 3 (performing more cycles was impossible because the
thermocycled tubes had already been thrown away and the reverse transcription product was not found) .
The new cycle course was odd in that it produced no bands in cycles 6 and 9 but created obvious smears
from cycle 12 onward. For this reason, 10 cycles were used for the R3 lsPCR to be conservative.
In each round, the lsPCR product was precipitated, transcribed, and then run on a PAGE gel at
450V. The R3 lsPCR still turned up smeared, so the experiment was stopped here due to time contraints.
The previous rounds’ bands were visualized in UV light. Any “shadows” that were produced indicated the
presence of RNA: the UV rays that caused the TLC plate to fluoresce were absorbed by the RNA. The R1
PAGE gel produced a very clear shadow concentrated in one location. This made it easy to cut out the
RNA gel chunks for elution. The R2 band looked unusual and had a warped, asymmetrical appearance.
Despite this, it was still clear enough to be demarcated and cut out in multiple pieces.
After this process, the eluted gels were precipitated with ethanol and resuspended in 30 uL of
diH2O. A nanodrop spectrophotometer was then used to measure the concentration of RNA in the samples
by measuring absorbance. The R1 RNA had a yield of 2605.20 pmol while the R2 RNA had a yield of
2607.19 pmol but these results were useless (see Problems Encountered). Thus, the selection conditions
for these rounds are not included in the table. The new R1 RNA had a yield of 1676.69 pmol, and the new
R2 RNA pool had a yield of 2048.29 pmol. In the fall, a third round was successfully conducted that
produced 1290.82 pmol of RNA. This round amplified very quickly in the cycle course but still provided
NTC
Dugger FGF8-b
good bands (not overamplified or too thin) in the large scale. In the fourth round, a plus/minus selection
was conducted in order to give a rough estimate of how well the RNA was binding to the target (as
opposed to the beads). The positive cycle course elution was much brighter than the negative cycle course
elution (which only produced bands in the 20th
cycle in the elution, see figures 16 and 17). This proved
that most of the RNA was sticking to the FGF8b rather than the Talon beads (the negative elution would
be much brighter in this case). Afterwards, the large scale PCR produced a clear band of the appropriate
length with very faint primer-dimers. The primer-dimers were not determined to be an issue; however,
because the main bands did not overamplify the primer-dimers could be removed during the PAGE gel
purification process (the shorter bands travel much further than the longer bands and are not excised). The
Round 4 transcription was extremely effective (probably due to using the 42°C 2 hour reaction rather than
the 37°C overnight reaction), with a concentration of 97.8 pmol/uL. Since the Nanodrop cannot
accurately measure concentrations over 71.3 pmol/uL, the concentration was diluted to 24.7 pmol/uL with
20 uL of water. In round 5, some of the E1 appeared to leak out of the tube prior to the first ethanol
precipitation (after binding and selection). This was probably part of the reason that no bands were
observed in the cycle course until the 20th
cycle (this band was overamplified). The lsPCR for this round
failed to produce any bands at all, so another lsPCR was run for 20 cycles using the remaining reverse
transcription product. The results of this are seen in figure 21. Multiple cycle course/large scale PCRs
were necessary to correct the issues that arose after this step (see figures 19-23 and Problems Encountered
for a full explanation). Eventually, round 5 produced 1816 pmol of RNA.
All lab figures are on following 4
pages
Dugger FGF8-b
Figure 3. R1 Cycle Course. This 3.8% agarose
gel was run at 100V for 40 minutes. The bands
were the correct length (96 bp). Cycle 20 showed
unusual amplification (the primers started laying
down incorrectly), but the NTC was clear.
Fourteen cycles were used for the large scale
(cycle 12 was too faint and cycle 15 over-
amplified).
Figure 4. R2 Cycle Course. The bands were the correct length
(still 96 bp). A very faint band was visible in the NTC (in blue
box), but this was not enough to warrant starting over (cause
was determined to be pipetting error, not contamination) so the
process was continued (12 cycles chosen for lsPCR). The DNase
control showed excessive amplification, meaning that the DNase
I enzyme removed very little template DNA.
Figure 5. R2 lsPCR. The
round 2 lsPCR produced a
good band (96 bp) at 12
cycles with no smearing
and did not have an NTC
band like the previous
cycle course.
Figure 6. New R1 Cycle Course. Cycle 12
seemed to produce double bands in the E1,
but the single bands in the earlier cycles
were the correct length (112 bp). 9 cycles
were chosen for large scale.
Figure 7. New R1
lsPCR. This lsPCR
produced no double
bands and was the
correct length (132 bp).
Dugger FGF8-b
Figure 12. R3 lsPCR. Although
difficult to see, the blue box
indicates a very faint smear. This
was very unusual and showed that
the sample was probably
contaminated (not
overamplification).
Figure 9. New R2 lsPCR.
This lsPCR (9 cycles) also
showed no double bands. A
DNase control was performed
and indicated that the DNase
was not active enough to
destroy the DNA template
from the previous round.
Figure 8. New R2 Cycle Course. This
ccPCR also showed double bands and did not
show up very well under UV light (likely due
to the thickness of the gel). Cycles chosen = 9
***NOTE***: Figures 10-11
were lost in this file but are
available on progress report #1
(textboxes and figures are on this
page but are invisible/irretrievable
for some reason).
Dugger FGF8-b
Figure 15. Illustration of PAGE gel. This
crude picture shows what an 8% acrylamide
PAGE gel should look like under UV light.
The boxes at the top are the wells and the
crescent is the blue dye. The dark circle is
the shadow created by the RNA above the
TLC plate. This N71 RNA is 112 nt long.
Figure 13. R3 ccPCR Fall. This gel
amplified very early (cycle 9 was
already very bright), so only 6
cycles were used for the large scale
PCR.
Figure 14. R3 lsPCR Fall. This gel
produced a good band (not too bright) and
no NTC band at 6 cycles.
Figure 16. R4 + ccPCR Fall. This gel
amplified just as quickly as R3, and
produced only one single band. Cycles
chosen = 6.
Figure 17. R4 - ccPCR Fall. This
gel only had bands in cycle 20 in
the last wash and elution. This was
a good sign that the RNA was not
binding to the beads.
Dugger FGF8-b
Figure 18. R4 lsPCR Fall. The lsPCR
produced a primer-dimer at 6 cycles but
was otherwise good.
Figure 19. R5 ccPCR Fall. This gel took a very long time to
produce a solid band. 18 cycles were chosen since the 20th
cycle was overamplified.
Figure 20. R5 failed lsPCR Fall. This
lsPCR failed to produce any bands. It is
likely that not enough cycles were
performed to amplify anything. (18
cycles).
Figure 21. R5 lsPCR-2 Fall. A second
lsPCR was performed with the same
reagents (including RT product) using 20
cycles. This yielded no product
amplification, providing only primer-
dimers (60-70 nt long).
Figure 22. R5 ccPCR-2 Fall. Another
RT was performed with the original R5
elution. A positive control (W0 from R2)
was used to confirm that there was no
issue with reagents (nonfunctional Taq).
14 cycles were chosen.
Figure 23. R5 lsPCR-3 Fall. This lsPCR (14 cycles)
appeared warped. The gel used to run the DNA was
not heated enough, so the lsPCR band appears too
long even though it is actually the correct length.
Dugger FGF8-b
Problems Encountered:
Near the end of the second round, a major issue was found that demanded the restart of the entire
selection: The targets that had been used for both rounds were not his-tagged. This meant that the proteins
were immediately washed off the beads after the target immobilization step, and that the RNA species
that were isolated were actually bead-binding species. Even when a negative selection was performed in
round 2, the concentration of RNA that was isolated at the end remained relatively high. This meant that
the negative selection was ineffective and that there was no way to continue on to the next round. Had
this problem not been found, then any aptamer that might have been discovered would have been useless:
this species would have a high affinity for nickel beads rather than the actual target, FGF8b.
The reason for this serious error was very simple: the tubes were mislabeled. The box containing
the tubes contained a note identifying the samples as his-tagged FGF8b. The note also described the
volume of the samples and the amount of target present in each tube. This all seemed to indicate that the
tubes inside the box were the correct ones. However, two major clues demonstrated that this was not the
case: the tubes were colored and the volume did not match the description. This problem can be avoided
in the future by more careful labeling as well as by confirming the identity of the sample with the primary
investigator or with a peer. The gels were somewhat difficult to see in the new rounds, but this was likely
due to the amount of gel that was used (too thick) which can be easily fixed in the future by pouring gels
of optimum thickness. The failed R3 ccPCR may have resulted from an error in the ethanol precipitation
prior to reverse transcription (pellets were nearly invisible). The ladder still turned up but all samples
(including the W0 samples) were practically invisible, so the error had to have been with the thermocycler
machine (unlikely), the ethanol precipitation, or one of the reagents. To correct for this in the second
attempt, the 70% ethanol washing step in the precipitation process removed (it may have washed away
RNA). Both the cycle course and the lsPCR produced smears with no clear bands, so the sample may
have been. As a result, the round was started over from selection using fresh aliquots of reagents. This
round (which was performed in the fall semester) produced very clear gels with no major issues. The
bands in the ccPCR amplified almost immediately (already very bright in cycle 9), so the next round had
much more stringent conditions.
In R5, numerous issues were encountered. The elution from the first cycle course did not amplify
until the 20th
cycle, and a very faint band appeared in the NTC column (figure 19). The NTC band was
due to poor pipetting technique rather than contaminated aliquots (confirmed in the lsPCR NTC). Only 18
cycles were used in the lsPCR, and ethanol precipitation was conducted at the same time that the gel was
run. When the gel showed no amplification for the lsPCR (figure 20), it was clear that not enough cycles
had been used. However, it was impossible put the DNA through more cycles as it had already been
precipitated. Thus, a second lsPCR was conducted using the same RT product with 20 cycles. However,
Dugger FGF8-b
only primer dimers appeared (figure 21). This indicated that there was very little DNA in the RT product
to begin with (what little was present was likely used in the initial ccPCR). Therefore, a second RT was
performed with the R5 elution to generate a higher yield of RNA. This product was used to run a second
cycle course (along with a positive control to ensure that the Taq enzyme was still functioning). This
cycle course amplified much earlier (figure 22) and produced no NTC bands. Thus, the new RT product
was used in a third lsPCR. This band appeared longer than expected, but this was due to improperly
heated gel that resulted in distorted bands (figure 23). It was this product that was finally transcribed and
quantitated.
Conclusion and Future Work:
The overarching purpose of this selection is to find a species of RNA with a high binding affinity
for mammalian fibroblast growth factor 8 b isoform. During the first two rounds, high concentrations of
RNA with this property were supposedly isolated and quantified. However, this was not the case due to
the lack of his-tagged targets, so the selection process was restarted and will be continued for
approximately six rounds. The original plan of completing six rounds by the end of April was no longer
tangible due to the problems encountered with the first two rounds, so the plan has now changed to
finishing the selection at the beginning of the fall semester. With each subsequent round, a greater number
of washes/ greater total wash volume will be used to increase stringency. In addition to this, the protein to
target ratio was changed to 400 pmol RNA: 200 pmol target after the first round and will be lowered
further every two or three rounds depending on the results. Furthermore, negative selections will be
performed for every future round to avoid isolating bead-binding species. The incubation time and
temperature will not be changed at all unless the yields get too small, and the selection buffer will not be
altered in any way. Afterwards, a binding assay will be performed to determine what the
oligeonucleotides are actually binding to. Hopefully, subsequent rounds will show more binding to
FGF8b than to the beads. Upon completion of this, the RNA species will be sequenced to find any motifs
that cause them to bind so that a more effective structure can be developed. Ultimately, an aptamer may
be identified that can help with the identification and treatment of prostate cancer.
Round Pool : Target
(pmol : pmol)
Washes
(# x Volume)
No. of PCR cycles necessary to
amplify selected pool
Amount of recovered pool
(pmol)
1 400 : 400 5 x 500 uL 9 980
2* 400 : 200 4 x 1000 uL 9 1197
3* 400 : 200 5 x 1000 uL 6 754
4** 400 : 100 10 x 1000 uL 6 1139
5* 400 : 100 10 x 1000 uL 14 1816
Table 2: Summary of anti-FGF8b aptamer
selection rounds.
* = Negative selection
** = Negative selection and +/- selection
Dugger FGF8-b
References:
Cass AEG, Zhang Y. Nucleic acid aptamers: ideal reagents for point-of-care diagnostics?. Faraday
Discuss. 2011;149:49-.
Croce CM. Oncogenes and cancer. N Engl J Med. 2008;358(5):502-11.
Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J
Clin. 2011;61(2):69-90.
Keefe AD, Pai S, Ellington A. Aptamers as therapeutics. Nat Rev Drug Discov. 2010;9(7):537-50.
Kwabi-addo B, Ozen M, Ittmann M. The role of fibroblast growth factors and their receptors in
prostate cancer. Endocr Relat Cancer. 2004;11(4):709-24.
Leali D, Alessi P, Coltrini D, et al. Long pentraxin-3 inhibits FGF8b-dependent
angiogenesis and growth of steroid hormone-regulated tumors. Mol Cancer Ther.
2011;10(9):1600-10.
Limson, J., (2013). Aptamers - the right fit for sensors and therapy. Science in Africa.
Ni X, Castanares M, Mukherjee A, Lupold SE. Nucleic acid aptamers: clinical applications and
promising new horizons. Curr Med Chem. 2011;18(27):4206-14.
Ornitz DM, Itoh N. Fibroblast growth factors. Genome Biol. 2001;2(3):REVIEWS3005.
Proske D, Blank M, Buhmann R, Resch A. Aptamers--basic research, drug development, and clinical
applications. Appl Microbiol Biotechnol. 2005;69(4):367-74.
U.S. Cancer Statistics Working Group. United States Cancer Statistics: 1999–2009 Incidence and
Mortality Web-based Report. Atlanta (GA): Department of Health and Human Services, Centers
for Disease Control and Prevention, and National Cancer Institute; 2013
Wu Y, Sefah K, Liu H, Wang R, Tan W. DNA aptamer-micelle as an efficient detection/delivery
vehicle toward cancer cells. Proc Natl Acad Sci USA. 2010;107(1):5-10.
Wuellner U, Gavrilyuk JI, Barbas CF. Expanding the concept of chemically programmable antibodies
to RNA aptamers: chemically programmed biotherapeutics. Angew Chem Int Ed Engl.
2010;49(34):5934-7.
Xiao Z, Levy-nissenbaum E, Alexis F, et al. Engineering of targeted nanoparticles for cancer therapy
using internalizing aptamers isolated by cell-uptake selection. ACS Nano. 2012;6(1):696-704.

Weitere ähnliche Inhalte

Was ist angesagt?

Inhibitors of Microtubule Polymerization
Inhibitors of Microtubule PolymerizationInhibitors of Microtubule Polymerization
Inhibitors of Microtubule PolymerizationRachel Densley
 
An Evolutionary and Structural Analysis of the Connective Tissue Growth Facto...
An Evolutionary and Structural Analysis of the Connective Tissue Growth Facto...An Evolutionary and Structural Analysis of the Connective Tissue Growth Facto...
An Evolutionary and Structural Analysis of the Connective Tissue Growth Facto...Ashley Kennedy
 
Voss et al. - 2006 - Identification of potent anticancer activity in Xi
Voss et al. - 2006 - Identification of potent anticancer activity in XiVoss et al. - 2006 - Identification of potent anticancer activity in Xi
Voss et al. - 2006 - Identification of potent anticancer activity in XiCristina Voss
 
Acetogenins In Vivo re: McLaughlin
Acetogenins In Vivo re: McLaughlinAcetogenins In Vivo re: McLaughlin
Acetogenins In Vivo re: McLaughlinBen Rockefeller
 
2015 City of Hope Summer Research
2015 City of Hope Summer Research 2015 City of Hope Summer Research
2015 City of Hope Summer Research Joy Cai
 
Dr. David Mooney - Simposio Internacional 'Terapias oncológicas avanzadas'
Dr. David Mooney - Simposio Internacional 'Terapias oncológicas avanzadas'Dr. David Mooney - Simposio Internacional 'Terapias oncológicas avanzadas'
Dr. David Mooney - Simposio Internacional 'Terapias oncológicas avanzadas'Fundación Ramón Areces
 
Assessment of immunomolecular_expression_and_prognostic_role_of_tlr7_among_pa...
Assessment of immunomolecular_expression_and_prognostic_role_of_tlr7_among_pa...Assessment of immunomolecular_expression_and_prognostic_role_of_tlr7_among_pa...
Assessment of immunomolecular_expression_and_prognostic_role_of_tlr7_among_pa...dr.Ihsan alsaimary
 
Cyto2015_negative_sorting
Cyto2015_negative_sortingCyto2015_negative_sorting
Cyto2015_negative_sortingKazuo Takeda
 
The flavonoid quercetin transientyly inhibits the activity of taxol and nocod...
The flavonoid quercetin transientyly inhibits the activity of taxol and nocod...The flavonoid quercetin transientyly inhibits the activity of taxol and nocod...
The flavonoid quercetin transientyly inhibits the activity of taxol and nocod...Tiensae Teshome
 
Poster rovida lorenzetti v2.0
Poster rovida lorenzetti v2.0Poster rovida lorenzetti v2.0
Poster rovida lorenzetti v2.0crovida
 
Animal models in developmental therapeitocs
Animal models in developmental therapeitocsAnimal models in developmental therapeitocs
Animal models in developmental therapeitocsDr.Bhavin Vadodariya
 
Biotechniques v30p662 SNP
Biotechniques v30p662 SNPBiotechniques v30p662 SNP
Biotechniques v30p662 SNPMichael Weiner
 
Current and Novel Immuno-Oncology Drug Evaluation Methods via Humanized Mouse...
Current and Novel Immuno-Oncology Drug Evaluation Methods via Humanized Mouse...Current and Novel Immuno-Oncology Drug Evaluation Methods via Humanized Mouse...
Current and Novel Immuno-Oncology Drug Evaluation Methods via Humanized Mouse...InsideScientific
 
HACE1&OPTN CANCER CELL
HACE1&OPTN  CANCER CELLHACE1&OPTN  CANCER CELL
HACE1&OPTN CANCER CELLLiu Zhengzhao
 

Was ist angesagt? (20)

Inhibitors of Microtubule Polymerization
Inhibitors of Microtubule PolymerizationInhibitors of Microtubule Polymerization
Inhibitors of Microtubule Polymerization
 
An Evolutionary and Structural Analysis of the Connective Tissue Growth Facto...
An Evolutionary and Structural Analysis of the Connective Tissue Growth Facto...An Evolutionary and Structural Analysis of the Connective Tissue Growth Facto...
An Evolutionary and Structural Analysis of the Connective Tissue Growth Facto...
 
Voss et al. - 2006 - Identification of potent anticancer activity in Xi
Voss et al. - 2006 - Identification of potent anticancer activity in XiVoss et al. - 2006 - Identification of potent anticancer activity in Xi
Voss et al. - 2006 - Identification of potent anticancer activity in Xi
 
Acetogenins In Vivo re: McLaughlin
Acetogenins In Vivo re: McLaughlinAcetogenins In Vivo re: McLaughlin
Acetogenins In Vivo re: McLaughlin
 
Gtc presentation
Gtc presentationGtc presentation
Gtc presentation
 
2015 City of Hope Summer Research
2015 City of Hope Summer Research 2015 City of Hope Summer Research
2015 City of Hope Summer Research
 
Dr. David Mooney - Simposio Internacional 'Terapias oncológicas avanzadas'
Dr. David Mooney - Simposio Internacional 'Terapias oncológicas avanzadas'Dr. David Mooney - Simposio Internacional 'Terapias oncológicas avanzadas'
Dr. David Mooney - Simposio Internacional 'Terapias oncológicas avanzadas'
 
Assessment of immunomolecular_expression_and_prognostic_role_of_tlr7_among_pa...
Assessment of immunomolecular_expression_and_prognostic_role_of_tlr7_among_pa...Assessment of immunomolecular_expression_and_prognostic_role_of_tlr7_among_pa...
Assessment of immunomolecular_expression_and_prognostic_role_of_tlr7_among_pa...
 
Cyto2015_negative_sorting
Cyto2015_negative_sortingCyto2015_negative_sorting
Cyto2015_negative_sorting
 
SRC TMCOS 2015 2
SRC TMCOS 2015 2SRC TMCOS 2015 2
SRC TMCOS 2015 2
 
The flavonoid quercetin transientyly inhibits the activity of taxol and nocod...
The flavonoid quercetin transientyly inhibits the activity of taxol and nocod...The flavonoid quercetin transientyly inhibits the activity of taxol and nocod...
The flavonoid quercetin transientyly inhibits the activity of taxol and nocod...
 
Nrneph.2014.170
Nrneph.2014.170Nrneph.2014.170
Nrneph.2014.170
 
Poster rovida lorenzetti v2.0
Poster rovida lorenzetti v2.0Poster rovida lorenzetti v2.0
Poster rovida lorenzetti v2.0
 
Prolonged Simvastatin Treatment Provided a Decrease in Apoptotic, Inflammator...
Prolonged Simvastatin Treatment Provided a Decrease in Apoptotic, Inflammator...Prolonged Simvastatin Treatment Provided a Decrease in Apoptotic, Inflammator...
Prolonged Simvastatin Treatment Provided a Decrease in Apoptotic, Inflammator...
 
Animal models in developmental therapeitocs
Animal models in developmental therapeitocsAnimal models in developmental therapeitocs
Animal models in developmental therapeitocs
 
Biotechniques v30p662 SNP
Biotechniques v30p662 SNPBiotechniques v30p662 SNP
Biotechniques v30p662 SNP
 
Subcutaneous Epstein-Barr Virus–Positive Diffuse Large B Cell Lymphoma Follow...
Subcutaneous Epstein-Barr Virus–Positive Diffuse Large B Cell Lymphoma Follow...Subcutaneous Epstein-Barr Virus–Positive Diffuse Large B Cell Lymphoma Follow...
Subcutaneous Epstein-Barr Virus–Positive Diffuse Large B Cell Lymphoma Follow...
 
Current and Novel Immuno-Oncology Drug Evaluation Methods via Humanized Mouse...
Current and Novel Immuno-Oncology Drug Evaluation Methods via Humanized Mouse...Current and Novel Immuno-Oncology Drug Evaluation Methods via Humanized Mouse...
Current and Novel Immuno-Oncology Drug Evaluation Methods via Humanized Mouse...
 
PlOSone paper
PlOSone paperPlOSone paper
PlOSone paper
 
HACE1&OPTN CANCER CELL
HACE1&OPTN  CANCER CELLHACE1&OPTN  CANCER CELL
HACE1&OPTN CANCER CELL
 

Andere mochten auch

Chế độ dinh dưỡng cho người gan nhiễm mỡ
Chế độ dinh dưỡng cho người gan nhiễm mỡChế độ dinh dưỡng cho người gan nhiễm mỡ
Chế độ dinh dưỡng cho người gan nhiễm mỡfranchesca580
 
What is Localvalve?
What is Localvalve?What is Localvalve?
What is Localvalve?Kyle Carney
 
Treviso Service Jam_Introduzione
Treviso Service Jam_IntroduzioneTreviso Service Jam_Introduzione
Treviso Service Jam_Introduzionetrevisoservicejam
 
Barrons FLS Interview
Barrons FLS InterviewBarrons FLS Interview
Barrons FLS InterviewMichael Kon
 
coming soon slides
coming soon slidescoming soon slides
coming soon slidesMark Holley
 
Rối loạn mỡ máu dẫn đến cơn đau thắt ngực
Rối loạn mỡ máu dẫn đến cơn đau thắt ngựcRối loạn mỡ máu dẫn đến cơn đau thắt ngực
Rối loạn mỡ máu dẫn đến cơn đau thắt ngựcyasuko601
 
Mailchimp Demo
Mailchimp DemoMailchimp Demo
Mailchimp DemoRaj Mahesh
 
Treviso Service Jam_Define_fase2
Treviso Service Jam_Define_fase2Treviso Service Jam_Define_fase2
Treviso Service Jam_Define_fase2trevisoservicejam
 
Prototyping Treviso Service Jam
Prototyping Treviso Service JamPrototyping Treviso Service Jam
Prototyping Treviso Service Jamtrevisoservicejam
 
Phoenicians
PhoeniciansPhoenicians
PhoeniciansMiAbra
 

Andere mochten auch (12)

Chế độ dinh dưỡng cho người gan nhiễm mỡ
Chế độ dinh dưỡng cho người gan nhiễm mỡChế độ dinh dưỡng cho người gan nhiễm mỡ
Chế độ dinh dưỡng cho người gan nhiễm mỡ
 
What is Localvalve?
What is Localvalve?What is Localvalve?
What is Localvalve?
 
Treviso Service Jam_Introduzione
Treviso Service Jam_IntroduzioneTreviso Service Jam_Introduzione
Treviso Service Jam_Introduzione
 
Barrons FLS Interview
Barrons FLS InterviewBarrons FLS Interview
Barrons FLS Interview
 
coming soon slides
coming soon slidescoming soon slides
coming soon slides
 
Rối loạn mỡ máu dẫn đến cơn đau thắt ngực
Rối loạn mỡ máu dẫn đến cơn đau thắt ngựcRối loạn mỡ máu dẫn đến cơn đau thắt ngực
Rối loạn mỡ máu dẫn đến cơn đau thắt ngực
 
Mailchimp Demo
Mailchimp DemoMailchimp Demo
Mailchimp Demo
 
Treviso Service Jam_Define_fase2
Treviso Service Jam_Define_fase2Treviso Service Jam_Define_fase2
Treviso Service Jam_Define_fase2
 
Prototyping Treviso Service Jam
Prototyping Treviso Service JamPrototyping Treviso Service Jam
Prototyping Treviso Service Jam
 
11 buoc giup tre het so ma
11 buoc giup tre het so ma11 buoc giup tre het so ma
11 buoc giup tre het so ma
 
Phoenicians
PhoeniciansPhoenicians
Phoenicians
 
discovery service design
discovery service designdiscovery service design
discovery service design
 

Ähnlich wie Samuel Dugger FGF8b Final Report

Stem Cells: A Dynamic Landscape
Stem Cells: A Dynamic LandscapeStem Cells: A Dynamic Landscape
Stem Cells: A Dynamic LandscapeCovance
 
The Effect of Atorvastatin (Lipitor) on the Duration of Survival of Allogenei...
The Effect of Atorvastatin (Lipitor) on the Duration of Survival of Allogenei...The Effect of Atorvastatin (Lipitor) on the Duration of Survival of Allogenei...
The Effect of Atorvastatin (Lipitor) on the Duration of Survival of Allogenei...Nabil Zeidan
 
4.4 genetic engineering & biotechnology
4.4 genetic engineering & biotechnology4.4 genetic engineering & biotechnology
4.4 genetic engineering & biotechnologycartlidge
 
Nuclear FABP7 immunoreactivity is preferentially expressed in infiltrated glioma
Nuclear FABP7 immunoreactivity is preferentially expressed in infiltrated gliomaNuclear FABP7 immunoreactivity is preferentially expressed in infiltrated glioma
Nuclear FABP7 immunoreactivity is preferentially expressed in infiltrated gliomaYu Liang
 
Cell Deveolpment and Biology- A Study of Liver Regeneration Capacity
Cell Deveolpment and Biology- A Study of Liver Regeneration CapacityCell Deveolpment and Biology- A Study of Liver Regeneration Capacity
Cell Deveolpment and Biology- A Study of Liver Regeneration CapacityNatasha A. Mahadeo
 
Epigeneticsand methylation
Epigeneticsand methylationEpigeneticsand methylation
Epigeneticsand methylationShubhda Roy
 
Novel Way to Isolate Adipose Derive Mesenchymal Stem Cells & Its Future Clini...
Novel Way to Isolate Adipose Derive Mesenchymal Stem Cells & Its Future Clini...Novel Way to Isolate Adipose Derive Mesenchymal Stem Cells & Its Future Clini...
Novel Way to Isolate Adipose Derive Mesenchymal Stem Cells & Its Future Clini...IOSR Journals
 
Elma mg jurnal mobilisasi
Elma mg jurnal mobilisasiElma mg jurnal mobilisasi
Elma mg jurnal mobilisasiMaharaniElma
 
pub_EBR_April-14_pp.10-14
pub_EBR_April-14_pp.10-14pub_EBR_April-14_pp.10-14
pub_EBR_April-14_pp.10-14biocision
 
Several Types of PROTACs Based On Nucleic Acids
Several Types of PROTACs Based On Nucleic AcidsSeveral Types of PROTACs Based On Nucleic Acids
Several Types of PROTACs Based On Nucleic AcidsDoriaFang
 
biochem of cancer modified dialysis treatment
biochem of cancer modified dialysis treatmentbiochem of cancer modified dialysis treatment
biochem of cancer modified dialysis treatmentThomas Brinkman
 
Detection of misfolded aβ oligomers for sensitive biochemical diagnosis of Al...
Detection of misfolded aβ oligomers for sensitive biochemical diagnosis of Al...Detection of misfolded aβ oligomers for sensitive biochemical diagnosis of Al...
Detection of misfolded aβ oligomers for sensitive biochemical diagnosis of Al...José Luis Moreno Garvayo
 
Guidelines and techniques for iPSC
Guidelines and techniques for iPSCGuidelines and techniques for iPSC
Guidelines and techniques for iPSClihuaibei
 
Caenorhabditi Elegans Research Paper
Caenorhabditi Elegans Research PaperCaenorhabditi Elegans Research Paper
Caenorhabditi Elegans Research PaperLaura Benitez
 

Ähnlich wie Samuel Dugger FGF8b Final Report (20)

Stem Cells: A Dynamic Landscape
Stem Cells: A Dynamic LandscapeStem Cells: A Dynamic Landscape
Stem Cells: A Dynamic Landscape
 
The Effect of Atorvastatin (Lipitor) on the Duration of Survival of Allogenei...
The Effect of Atorvastatin (Lipitor) on the Duration of Survival of Allogenei...The Effect of Atorvastatin (Lipitor) on the Duration of Survival of Allogenei...
The Effect of Atorvastatin (Lipitor) on the Duration of Survival of Allogenei...
 
4.4 genetic engineering & biotechnology
4.4 genetic engineering & biotechnology4.4 genetic engineering & biotechnology
4.4 genetic engineering & biotechnology
 
PONE2013_VecslerM
PONE2013_VecslerMPONE2013_VecslerM
PONE2013_VecslerM
 
Nuclear FABP7 immunoreactivity is preferentially expressed in infiltrated glioma
Nuclear FABP7 immunoreactivity is preferentially expressed in infiltrated gliomaNuclear FABP7 immunoreactivity is preferentially expressed in infiltrated glioma
Nuclear FABP7 immunoreactivity is preferentially expressed in infiltrated glioma
 
Gtc presentation 2
Gtc presentation 2Gtc presentation 2
Gtc presentation 2
 
Cell Deveolpment and Biology- A Study of Liver Regeneration Capacity
Cell Deveolpment and Biology- A Study of Liver Regeneration CapacityCell Deveolpment and Biology- A Study of Liver Regeneration Capacity
Cell Deveolpment and Biology- A Study of Liver Regeneration Capacity
 
Epigeneticsand methylation
Epigeneticsand methylationEpigeneticsand methylation
Epigeneticsand methylation
 
Novel Way to Isolate Adipose Derive Mesenchymal Stem Cells & Its Future Clini...
Novel Way to Isolate Adipose Derive Mesenchymal Stem Cells & Its Future Clini...Novel Way to Isolate Adipose Derive Mesenchymal Stem Cells & Its Future Clini...
Novel Way to Isolate Adipose Derive Mesenchymal Stem Cells & Its Future Clini...
 
Elma mg jurnal mobilisasi
Elma mg jurnal mobilisasiElma mg jurnal mobilisasi
Elma mg jurnal mobilisasi
 
pub_EBR_April-14_pp.10-14
pub_EBR_April-14_pp.10-14pub_EBR_April-14_pp.10-14
pub_EBR_April-14_pp.10-14
 
pub_EBR_April-14_pp.10-14
pub_EBR_April-14_pp.10-14pub_EBR_April-14_pp.10-14
pub_EBR_April-14_pp.10-14
 
Several Types of PROTACs Based On Nucleic Acids
Several Types of PROTACs Based On Nucleic AcidsSeveral Types of PROTACs Based On Nucleic Acids
Several Types of PROTACs Based On Nucleic Acids
 
biochem of cancer modified dialysis treatment
biochem of cancer modified dialysis treatmentbiochem of cancer modified dialysis treatment
biochem of cancer modified dialysis treatment
 
Detection of misfolded aβ oligomers for sensitive biochemical diagnosis of Al...
Detection of misfolded aβ oligomers for sensitive biochemical diagnosis of Al...Detection of misfolded aβ oligomers for sensitive biochemical diagnosis of Al...
Detection of misfolded aβ oligomers for sensitive biochemical diagnosis of Al...
 
Guidelines and techniques for iPSC
Guidelines and techniques for iPSCGuidelines and techniques for iPSC
Guidelines and techniques for iPSC
 
Biochemistry Poster
Biochemistry PosterBiochemistry Poster
Biochemistry Poster
 
Caenorhabditi Elegans Research Paper
Caenorhabditi Elegans Research PaperCaenorhabditi Elegans Research Paper
Caenorhabditi Elegans Research Paper
 
Editing genome
Editing genomeEditing genome
Editing genome
 
Editing genome
Editing genome Editing genome
Editing genome
 

Samuel Dugger FGF8b Final Report

  • 1. Dugger FGF8-b Aptamer Selection against Mammalian Fibroblast Growth Factor 8 b for Early Detection of Prostate Cancer Samuel Dugger October 8, 2013 Fall 2013 N71 RNA Pool Talon Bead-based Selection Mammalian Fibroblast Growth Factor 8 b Isoform
  • 2. Dugger FGF8-b Abstract: Despite major advances in oncology over the past few years, cancer still remains one of the most prevalent and deadly diseases affecting mankind today. Even in developed countries like the United States, cancer is one of the top causes of death besides heart disease (Jemal et al, 2011). Although the word “cancer” is used to describe a family of diseases rather than a specific ailment, all cancers are identified by unregulated cell division that results in the formation of tumors that may spread throughout the body (Croce, 2008). Recent studies have suggested that fibroblast growth factors (FGFs) may contribute to the growth of cancers. Overexpressed FGF8b in particular has been linked with prostate cancer (Kwabi-Addo, 2004). The main objective of this research is to find an aptamer that could detect FGF8b. Aptamers are oligonucleotides with a high binding affinity for certain molecules, and they have a variety of applications in areas such as drug delivery, diagnostics, therapeutics, developmental biology, and systems and synthetic biology. They have also been proven to be more accurate, more durable, and cheaper to produce than antibodies (which are often used for similar reasons). No custom antibodies have been successfully produced that can locate this target, and aptamers could prove to be the solution. Successfully isolating and amplifying an aptamer that can locate FGF8b could help doctors detect prostate cancer in earlier stages and vastly improve patient survival rates. Additionally, this aptamer could be used for targeted drug delivery by carrying cell-destroying chemicals specifically to cancer cells. Specific Aim: To isolate and amplify an RNA aptamer that binds specifically to FGF8b. Budget/Ordering: Shawn Piasecki of the Keatinge-Clay Lab provided last year’s his-tagged FGF8b stock and will continue to do so. Thus, pricing information from this source in particular is unknown, but untagged human FGF8b may be purchased in quantities of 100 ug for $187.16 from US Biological. Figure 1. This crystallographic image depicts an aptamer (in green) binding to a target molecule, taken from Limson (2013).
  • 3. Dugger FGF8-b Figure 1. Diagram of the SELEX selection process. A large pool of random RNA is incubated with a target, and binding species are isolated. These species are amplified and used to start another cycle, taken from Cass (2011) Introduction: Few diseases today can match the prevalence and lethality of cancer. As their populations age and become more sedentary, even developed countries like the United States have to deal with rising cancer rates. Recent estimates suggest that as many as 7.6 million people died of cancer in 2008, making it the leading cause of death for that year (Jemal et al, 2011). Prostate cancer in particular has been identified as the second most common form of cancer in men, and it was responsible for 28,088 deaths in 2009 (US Cancer Statistics Working Group, 2013). Although the word “cancer” actually refers to a family of related diseases rather than a specific illness, all cancers involve unregulated cell division. Although a series of biochemical checkpoints normally ensures that a “malfunctioning” cell undergoes programmed cell death (called apoptosis), cancerous cells have genetic mutations that allow them to bypass these measures (Croce, 2008). Studies have indicated that a family of proteins, known as Fibroblast Growth Factors, is directly related to the development of cancers. Fibroblast growth factors in vertebrates can range from 17 to 34 kilodaltons (kDa) in size and play an important role in the development of embryos: each FGF is responsible for a different aspect of growth. Mammalian growth factor (FGF8b), the growth factor that was targeted in this study, has a weight of 24,148 Da and affects central nervous system development and limb development, as well as gastrulation. . FGF8b is found as a monomer. There are 22 members in the human FGF family, and all require heparan sulfate in order to bind to FGF receptors. Most FGFs (including FGF8b) are excreted by cells and are typically found in the extracellular matrix (Ornitz and Itoh, 2001). A method of successfully detecting overexpressed FGFs in cells could help oncologists locate early-stage cancer patients before treatment becomes difficult. Increased expression of FGF8b in particular is a known indicator of prostate cancer (Kwabi-Addo, 2004). Despite attempts by numerous labs specializing in immunohistochemistry, attempts to create custom antibodies to locate this target have failed due to low specificity and high costs. For this reason, an aptamer with a high binding affinity for an FGF would be highly desirable. Aptamers are oligeonucleotides (or sometimes peptides) that bind to a specific
  • 4. Dugger FGF8-b molecule. Aptamers are superior to antibodies for a number of reasons, most of which stem from the way they are created. Aptamers are developed through an in vitro selection process involving the isolation of high-binding species from a large pool in a process known as Systematic Evolution of Ligands by Exponential enrichment), or SELEX (Ni, 2011). In a standard SELEX selection round, binding species of oligeonucleotides are incubated with a target, filtered out, and reamplified for another round as is shown in figure 1(adapted from Proske, 2005) . In vitro selection (meaning in artificial conditions AKA test tubes) means that aptamers can be developed for a wider range of conditions than antibodies (which have to be made in vivo, or in the body). Aptamers are also significantly cheaper and easier to make, and they have a longer shelf life. Furthermore, aptamers cannot provoke unwanted immune responses, and their smaller size makes them more specific by making them better transduction groups for biosensors (Keefe, 2010). Figure 2 shows how aptamers and antibodies can be combined to form extremely potent and highly specific therapeutic agents that have greater pharmacokinetic properties than their parents (Wuellner, 2010). Dr. Anne Moon at Geisinger Health System in Danville, PA has specifically requested an aptamer for FGF8b to be used in localization studies. There are many other labs working with FGF8b, such as the Roy-Burman Lab at USC (Chen, 2005). The Presta Lab at the University of Brescia in Italy has studied the soluble pattern recognition receptor long petraxin-3 as an antagonist of FGF8b, acting to prevent it from binding to its receptors and inhibiting the development of tumor cells as a result (Leali, 2011). Before beginning SELEX, it is important to confirm that aptamers have not already been made for the desired target. As of September 2013, no aptamers had been isolated for FGF8b. It is also critical to consider the downstream applications of the aptamer when selecting, such as the location where the aptamer will be used. In this case the desired aptamer, if found, would be used in the human body as a diagnostic for cancer. Aptamers could be fluorescently tagged prior to injection into the body, so that they can be used to locate small tumors. FGF8b, while not known specifically for binding nucleic acids, has a positive charge in solution, and its isoelectric point is greater than 10. Oligeonucleotides like RNA have a slight negative charge, so it was assumed that RNA species would bind easily to the target even though FGF8b does not typically bind to nucleic acids in nature. There are different selection methods that can be used to isolate high-binding RNA species: these include magnetic bead, columns, and filters. This lab uses bead-based selection which involves immobilizing a target protein on a set of beads in a tube. In order for this to work, the target protein must first be “tagged” with a special chemical group such as histadine. Histadine has a high affinity for nickel and will readily stick to nickel-coated beads.
  • 5. Dugger FGF8-b Once an aptamer has been found, a self-assembling aptamer-micelle nanostructure can be made to internalize the aptamer into the cell (Wu, 2010). This aptamer could then be injected into the body to detect prostate cancer. Alternatively, this aptamer could be attached to a nanoparticle to generate a targeted nanoparticle. A chemotherapeutic agent such as docetaxel could then be encapsulated within this structure to increase cytotoxicity (Xiao et al, 2012). Materials and Methods: The nickel-nitrilotriacetic acid (Ni-NTA) beads were stored in a buffer containing 200 mM NaCl, 1 mM MgCl2, and 10 mM tris(hydroxymethyl)aminomethane (tris) at a pH of 7.4 at a temperature of 4°C. Table 1 shows the initial conditions for each round (table 2 gives the RNA : target ratio and wash volume/numbers). Prior to the actual selection, the beads that were used were pre-washed three times with the selection buffer. The mFGF8b was then allowed to immobilize on the beads for 30 minutes at room temperature. While this occurred, the previous round’s N40B RNA pools (R0 N40B pool for first round) were incubated at 65°C for 3 minutes with selection buffer and allowed to cool (so that they could fold into their most stable structure). During the rounds with negative selections, these pools were first incubated with a tube of beads containing no proteins. The buffer from this process was then drained out and added to the beads with the target (which removed the RNA that was sticking to the beads rather than the target). The beads with the protein were then rewashed with selection buffer three times (to remove the unbound protein) and set to incubate with the RNA pool. The plus/minus selection conducted in round 4 followed a similar process to the negative selection except that the negative RNA (with only beads) was also washed off, reverse transcribed, and amplified by cycle course. This was compared with a normal cycle course from the positive (regular) selection in order to confirm that the RNA was primarily binding to the target rather than the beads. Afterwards, the unbound pool was isolated from the beads. These beads were then washed with selection buffer, and the solution was then removed and labeled as W1 (wash one). This was repeated until the last wash. Here, the beads along with the buffer were placed in a new tube before the wash was removed (to get rid of plastic binding species). The RNA species that were Figure 2. Aptamers and Antibodies working together. Aptamers can be linked to antibodies for greater accuracy and survivability, adapted from Wuellner (2010).
  • 6. Dugger FGF8-b actually bound to the beads were then removed by vortexing in hot (80°C) water. The unbound pool (WO), last wash (W3 or W5), and the eluted binding pool (E1) that resulted from these selections were concentrated with standard ethanol precipitation using 1/10th volume 0.3 M NaOAc at pH 5.2, 3 uL glycogen, and 2.5 volumes pure ethanol. This was chilled at -80°C for fifteen minutes and centrifuged at max speed for ten minutes. The supernatant was removed, and 400 uL of chilled 70% ethanol was added to the precipitate which was chilled on ice for two minutes, re-centrifuged for five minutes, and dried in a speedvac for ten minutes. All subsequent precipitations were performed in the same way. The pellet was resuspended in 20 uL diH2O (at a high enough concentration to be reverse transcribed). A 20 uL mixture containing concentrated RNA (from W0, W3/W5, and E1), 20 uM N40B reverse (R) primer, and 0.5mM deoxyribonucleotides (dNTPs) was heated at 65°C for 5 minutes and cooled to room temperature. A mixture of this and First Strand buffer, 0.01M DTT, and 1 uL SuperScript II Reverse Transcriptase (SSII RT) was then incubated at 42°C for fifty minutes, inactivated at 70°C for fifteen minutes, and cooled to 4°C for storage (reverse transcription, RT). A 100 uL cycle course polymerase chain reaction (PCR) was performed to determine the optimal number of cycles for large scale (ls) PCR: a mixture of PCR buffer (10 mM Tris-HCl pH 8.3, 50 mM KCl, 2 mM MgCl2), 0.2 mM dNTP, 0.4 uM 88.35 forward (F) primer, 0.4 uM 20.35 reverse (R) primer, 2 uL single stranded (ss) DNA from RT (three different samples), 4 U Taq DNA polymerase, and diH2O was put through twenty cycles of PCR. The conditions were: 94°C for two minutes (only once), 92°C for forty-five seconds, 54°C for forty-five seconds, 72°C for one minute, repeat nineteen times, chill at 4°C. A 5 uL sample was removed from each of the three at six cycles, nine cycles, twelve cycles, fifteen cycles, and twenty cycles and mixed stained with 1 uL ethidium bromide (EtBr). These samples were then run on a 3.8% agarose gel for thirty-five minutes at 120 volts along with a no template control (NTC) and a DNase control (only in round 2, using “purified” RNA from the last round). The number of cycles that produced the best band for E1 was chosen for large scale PCR. The lsPCR contained the same reagents as the cycle course but divided into six tubes. These were cycled based on the results of the cycle course and then run on a gel (along with another NTC). The lsPCR was concentrated with ethanol precipitation and resuspended in 20 uL of diH2O. This precipitate was used as a template in a 20 uL transcription (TNX) reaction along with other reagents: TNX buffer, 10 mM DTT, 7.5 uM of each nucleoside triphosphate (ATP, CTP, UTP, and GTP in that order), ~800 ng double stranded (ds) DNA from lsPCR, diH2O, and 2 uL T7 RNA polymerase enzyme solution. This was incubated at 37°C overnight and combined with 1 uL of DNase I enzyme solution for another fifteen minutes at 37°C. The enzyme was quenched with 21 uL (one reaction volume) of blue denaturing dye containing 7 M urea, EDTA, and bromophenol blue. This was denatured by heating for three minutes at 65°C and added to a polyacrylamide gel made with 8% denaturing acrylamide, 25 uL of
  • 7. Dugger FGF8-b Table 1. This table shows the selection conditions used in each round. tetramethylethylenediamine (TEMED), and 0.04% ammonium persulfate (APS). The gel was run at 450 volts for one hour, and the transcription product was located with a UV light and TLC plate. This product was cut out and placed in 850 uL of TE for overnight elution. In R2, the gel was instead crushed and mixed with 400 uL of 0.3M NaOAc and TE. This was heated at 80°C for five minutes and centrifuged at max speed for one minute. The eluate was removed and added to a red dot Ultrafree-MC spin filter tube for three minutes of centrifugation filtration. This was repeated a second time with the gel chunks to skip the overnight elution step and achieve a greater yield. After elution, ethanol precipitation was performed as before and the pellet was resuspended in 30 uL of diH2O. This precipitated RNA was then quantitated with a Nanodrop spectrophotometer and used for the next round (four rounds were performed as of this report with one in progress). Progress, Results, and Discussion: The selection process as a whole involved repeating several rounds to isolate and amplify highly specific RNA before performing a binding assay and sequencing. Early on, there were very few points where it was possible to check for error. The ethanol precipitations of the round one E1, W0, and W3 all produced pellets, indicating the possible presence of RNA (although it could have been only salt). In contrast, the same step in the second round produced only one pellet which was found in W0. However, missing pellets do not mean absent RNA (they are usually just too small to see), and subsequent cycle course PCRs in both rounds provided decent results. In all cycle courses, the W0 showed the earliest amplification and the final wash showed the latest. This was expected because the majority of the RNA did not bind to the target. Instead, this RNA R1 – R3 R4 – R5 Pool N71 (dsDNA = 132 bp, RNA = 112 nt) N71 Incubation Time/ Temperature 25 minutes at 37°C 25 minutes at 37°C Buffer and pH 1X PBS pH 7.4 1X PBS pH 7.4 Salt and Ion Concentration 1 mM Phosphate, 13.7 mM NaCl, 2.7 mM KCl, 5 mM MgCl2 1 mM Phosphate, 13.7 mM NaCl, 2.7 mM KCl
  • 8. Dugger FGF8-b ended was washed away in W0 and amplified the most out of all the washes. By the last wash, most of the RNA was washed off with the remaining material staying attached to the target. That is why the elution showed slightly more amplification than the last wash. The R1 cycle course had no NTC bands, but the R2 cycle course had a very faint line that was similar to its cycle 9 E1. Rounds 3 and 4 produced no NTC bands, but round 5 had a thin one. Also, the DNase control showed up in every round it was performed (R2, R3 and R5) which meant that some residual template DNA from the prior round was not completely eliminated, presumably due to the low activity of the DNase I enzyme. These issues were judged minor enough to continue with the selection, so an lsPCR was performed with both (14 cycles for R1 and 12 cycles for R2). The picture of the R1 lsPCR was lost and is not included here, but it showed a bright E1 band with no overamplification and no NTC band. The R2 lsPCR turned up with the same results. In both cases, this meant that the selection could be continued without any change in selection conditions. In both of the new rounds (see problems encountered for explanation), a new pool (N71) was used. Both times, double bands were produced during over amplification. In order to ensure that this problem would not arise in the lsPCR (which would have entailed starting over), a very small number of cycles was used in both new lsPCRs (9 cycles both times). Fortunately, both lsPCRs showed single and clear bands. In the third round, the cycle course was too faint to determine cycles for lsPCR (see Problems Encountered). Therefore, the selection was started over for round 3 (performing more cycles was impossible because the thermocycled tubes had already been thrown away and the reverse transcription product was not found) . The new cycle course was odd in that it produced no bands in cycles 6 and 9 but created obvious smears from cycle 12 onward. For this reason, 10 cycles were used for the R3 lsPCR to be conservative. In each round, the lsPCR product was precipitated, transcribed, and then run on a PAGE gel at 450V. The R3 lsPCR still turned up smeared, so the experiment was stopped here due to time contraints. The previous rounds’ bands were visualized in UV light. Any “shadows” that were produced indicated the presence of RNA: the UV rays that caused the TLC plate to fluoresce were absorbed by the RNA. The R1 PAGE gel produced a very clear shadow concentrated in one location. This made it easy to cut out the RNA gel chunks for elution. The R2 band looked unusual and had a warped, asymmetrical appearance. Despite this, it was still clear enough to be demarcated and cut out in multiple pieces. After this process, the eluted gels were precipitated with ethanol and resuspended in 30 uL of diH2O. A nanodrop spectrophotometer was then used to measure the concentration of RNA in the samples by measuring absorbance. The R1 RNA had a yield of 2605.20 pmol while the R2 RNA had a yield of 2607.19 pmol but these results were useless (see Problems Encountered). Thus, the selection conditions for these rounds are not included in the table. The new R1 RNA had a yield of 1676.69 pmol, and the new R2 RNA pool had a yield of 2048.29 pmol. In the fall, a third round was successfully conducted that produced 1290.82 pmol of RNA. This round amplified very quickly in the cycle course but still provided NTC
  • 9. Dugger FGF8-b good bands (not overamplified or too thin) in the large scale. In the fourth round, a plus/minus selection was conducted in order to give a rough estimate of how well the RNA was binding to the target (as opposed to the beads). The positive cycle course elution was much brighter than the negative cycle course elution (which only produced bands in the 20th cycle in the elution, see figures 16 and 17). This proved that most of the RNA was sticking to the FGF8b rather than the Talon beads (the negative elution would be much brighter in this case). Afterwards, the large scale PCR produced a clear band of the appropriate length with very faint primer-dimers. The primer-dimers were not determined to be an issue; however, because the main bands did not overamplify the primer-dimers could be removed during the PAGE gel purification process (the shorter bands travel much further than the longer bands and are not excised). The Round 4 transcription was extremely effective (probably due to using the 42°C 2 hour reaction rather than the 37°C overnight reaction), with a concentration of 97.8 pmol/uL. Since the Nanodrop cannot accurately measure concentrations over 71.3 pmol/uL, the concentration was diluted to 24.7 pmol/uL with 20 uL of water. In round 5, some of the E1 appeared to leak out of the tube prior to the first ethanol precipitation (after binding and selection). This was probably part of the reason that no bands were observed in the cycle course until the 20th cycle (this band was overamplified). The lsPCR for this round failed to produce any bands at all, so another lsPCR was run for 20 cycles using the remaining reverse transcription product. The results of this are seen in figure 21. Multiple cycle course/large scale PCRs were necessary to correct the issues that arose after this step (see figures 19-23 and Problems Encountered for a full explanation). Eventually, round 5 produced 1816 pmol of RNA. All lab figures are on following 4 pages
  • 10. Dugger FGF8-b Figure 3. R1 Cycle Course. This 3.8% agarose gel was run at 100V for 40 minutes. The bands were the correct length (96 bp). Cycle 20 showed unusual amplification (the primers started laying down incorrectly), but the NTC was clear. Fourteen cycles were used for the large scale (cycle 12 was too faint and cycle 15 over- amplified). Figure 4. R2 Cycle Course. The bands were the correct length (still 96 bp). A very faint band was visible in the NTC (in blue box), but this was not enough to warrant starting over (cause was determined to be pipetting error, not contamination) so the process was continued (12 cycles chosen for lsPCR). The DNase control showed excessive amplification, meaning that the DNase I enzyme removed very little template DNA. Figure 5. R2 lsPCR. The round 2 lsPCR produced a good band (96 bp) at 12 cycles with no smearing and did not have an NTC band like the previous cycle course. Figure 6. New R1 Cycle Course. Cycle 12 seemed to produce double bands in the E1, but the single bands in the earlier cycles were the correct length (112 bp). 9 cycles were chosen for large scale. Figure 7. New R1 lsPCR. This lsPCR produced no double bands and was the correct length (132 bp).
  • 11. Dugger FGF8-b Figure 12. R3 lsPCR. Although difficult to see, the blue box indicates a very faint smear. This was very unusual and showed that the sample was probably contaminated (not overamplification). Figure 9. New R2 lsPCR. This lsPCR (9 cycles) also showed no double bands. A DNase control was performed and indicated that the DNase was not active enough to destroy the DNA template from the previous round. Figure 8. New R2 Cycle Course. This ccPCR also showed double bands and did not show up very well under UV light (likely due to the thickness of the gel). Cycles chosen = 9 ***NOTE***: Figures 10-11 were lost in this file but are available on progress report #1 (textboxes and figures are on this page but are invisible/irretrievable for some reason).
  • 12. Dugger FGF8-b Figure 15. Illustration of PAGE gel. This crude picture shows what an 8% acrylamide PAGE gel should look like under UV light. The boxes at the top are the wells and the crescent is the blue dye. The dark circle is the shadow created by the RNA above the TLC plate. This N71 RNA is 112 nt long. Figure 13. R3 ccPCR Fall. This gel amplified very early (cycle 9 was already very bright), so only 6 cycles were used for the large scale PCR. Figure 14. R3 lsPCR Fall. This gel produced a good band (not too bright) and no NTC band at 6 cycles. Figure 16. R4 + ccPCR Fall. This gel amplified just as quickly as R3, and produced only one single band. Cycles chosen = 6. Figure 17. R4 - ccPCR Fall. This gel only had bands in cycle 20 in the last wash and elution. This was a good sign that the RNA was not binding to the beads.
  • 13. Dugger FGF8-b Figure 18. R4 lsPCR Fall. The lsPCR produced a primer-dimer at 6 cycles but was otherwise good. Figure 19. R5 ccPCR Fall. This gel took a very long time to produce a solid band. 18 cycles were chosen since the 20th cycle was overamplified. Figure 20. R5 failed lsPCR Fall. This lsPCR failed to produce any bands. It is likely that not enough cycles were performed to amplify anything. (18 cycles). Figure 21. R5 lsPCR-2 Fall. A second lsPCR was performed with the same reagents (including RT product) using 20 cycles. This yielded no product amplification, providing only primer- dimers (60-70 nt long). Figure 22. R5 ccPCR-2 Fall. Another RT was performed with the original R5 elution. A positive control (W0 from R2) was used to confirm that there was no issue with reagents (nonfunctional Taq). 14 cycles were chosen. Figure 23. R5 lsPCR-3 Fall. This lsPCR (14 cycles) appeared warped. The gel used to run the DNA was not heated enough, so the lsPCR band appears too long even though it is actually the correct length.
  • 14. Dugger FGF8-b Problems Encountered: Near the end of the second round, a major issue was found that demanded the restart of the entire selection: The targets that had been used for both rounds were not his-tagged. This meant that the proteins were immediately washed off the beads after the target immobilization step, and that the RNA species that were isolated were actually bead-binding species. Even when a negative selection was performed in round 2, the concentration of RNA that was isolated at the end remained relatively high. This meant that the negative selection was ineffective and that there was no way to continue on to the next round. Had this problem not been found, then any aptamer that might have been discovered would have been useless: this species would have a high affinity for nickel beads rather than the actual target, FGF8b. The reason for this serious error was very simple: the tubes were mislabeled. The box containing the tubes contained a note identifying the samples as his-tagged FGF8b. The note also described the volume of the samples and the amount of target present in each tube. This all seemed to indicate that the tubes inside the box were the correct ones. However, two major clues demonstrated that this was not the case: the tubes were colored and the volume did not match the description. This problem can be avoided in the future by more careful labeling as well as by confirming the identity of the sample with the primary investigator or with a peer. The gels were somewhat difficult to see in the new rounds, but this was likely due to the amount of gel that was used (too thick) which can be easily fixed in the future by pouring gels of optimum thickness. The failed R3 ccPCR may have resulted from an error in the ethanol precipitation prior to reverse transcription (pellets were nearly invisible). The ladder still turned up but all samples (including the W0 samples) were practically invisible, so the error had to have been with the thermocycler machine (unlikely), the ethanol precipitation, or one of the reagents. To correct for this in the second attempt, the 70% ethanol washing step in the precipitation process removed (it may have washed away RNA). Both the cycle course and the lsPCR produced smears with no clear bands, so the sample may have been. As a result, the round was started over from selection using fresh aliquots of reagents. This round (which was performed in the fall semester) produced very clear gels with no major issues. The bands in the ccPCR amplified almost immediately (already very bright in cycle 9), so the next round had much more stringent conditions. In R5, numerous issues were encountered. The elution from the first cycle course did not amplify until the 20th cycle, and a very faint band appeared in the NTC column (figure 19). The NTC band was due to poor pipetting technique rather than contaminated aliquots (confirmed in the lsPCR NTC). Only 18 cycles were used in the lsPCR, and ethanol precipitation was conducted at the same time that the gel was run. When the gel showed no amplification for the lsPCR (figure 20), it was clear that not enough cycles had been used. However, it was impossible put the DNA through more cycles as it had already been precipitated. Thus, a second lsPCR was conducted using the same RT product with 20 cycles. However,
  • 15. Dugger FGF8-b only primer dimers appeared (figure 21). This indicated that there was very little DNA in the RT product to begin with (what little was present was likely used in the initial ccPCR). Therefore, a second RT was performed with the R5 elution to generate a higher yield of RNA. This product was used to run a second cycle course (along with a positive control to ensure that the Taq enzyme was still functioning). This cycle course amplified much earlier (figure 22) and produced no NTC bands. Thus, the new RT product was used in a third lsPCR. This band appeared longer than expected, but this was due to improperly heated gel that resulted in distorted bands (figure 23). It was this product that was finally transcribed and quantitated. Conclusion and Future Work: The overarching purpose of this selection is to find a species of RNA with a high binding affinity for mammalian fibroblast growth factor 8 b isoform. During the first two rounds, high concentrations of RNA with this property were supposedly isolated and quantified. However, this was not the case due to the lack of his-tagged targets, so the selection process was restarted and will be continued for approximately six rounds. The original plan of completing six rounds by the end of April was no longer tangible due to the problems encountered with the first two rounds, so the plan has now changed to finishing the selection at the beginning of the fall semester. With each subsequent round, a greater number of washes/ greater total wash volume will be used to increase stringency. In addition to this, the protein to target ratio was changed to 400 pmol RNA: 200 pmol target after the first round and will be lowered further every two or three rounds depending on the results. Furthermore, negative selections will be performed for every future round to avoid isolating bead-binding species. The incubation time and temperature will not be changed at all unless the yields get too small, and the selection buffer will not be altered in any way. Afterwards, a binding assay will be performed to determine what the oligeonucleotides are actually binding to. Hopefully, subsequent rounds will show more binding to FGF8b than to the beads. Upon completion of this, the RNA species will be sequenced to find any motifs that cause them to bind so that a more effective structure can be developed. Ultimately, an aptamer may be identified that can help with the identification and treatment of prostate cancer. Round Pool : Target (pmol : pmol) Washes (# x Volume) No. of PCR cycles necessary to amplify selected pool Amount of recovered pool (pmol) 1 400 : 400 5 x 500 uL 9 980 2* 400 : 200 4 x 1000 uL 9 1197 3* 400 : 200 5 x 1000 uL 6 754 4** 400 : 100 10 x 1000 uL 6 1139 5* 400 : 100 10 x 1000 uL 14 1816 Table 2: Summary of anti-FGF8b aptamer selection rounds. * = Negative selection ** = Negative selection and +/- selection
  • 16. Dugger FGF8-b References: Cass AEG, Zhang Y. Nucleic acid aptamers: ideal reagents for point-of-care diagnostics?. Faraday Discuss. 2011;149:49-. Croce CM. Oncogenes and cancer. N Engl J Med. 2008;358(5):502-11. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J Clin. 2011;61(2):69-90. Keefe AD, Pai S, Ellington A. Aptamers as therapeutics. Nat Rev Drug Discov. 2010;9(7):537-50. Kwabi-addo B, Ozen M, Ittmann M. The role of fibroblast growth factors and their receptors in prostate cancer. Endocr Relat Cancer. 2004;11(4):709-24. Leali D, Alessi P, Coltrini D, et al. Long pentraxin-3 inhibits FGF8b-dependent angiogenesis and growth of steroid hormone-regulated tumors. Mol Cancer Ther. 2011;10(9):1600-10. Limson, J., (2013). Aptamers - the right fit for sensors and therapy. Science in Africa. Ni X, Castanares M, Mukherjee A, Lupold SE. Nucleic acid aptamers: clinical applications and promising new horizons. Curr Med Chem. 2011;18(27):4206-14. Ornitz DM, Itoh N. Fibroblast growth factors. Genome Biol. 2001;2(3):REVIEWS3005. Proske D, Blank M, Buhmann R, Resch A. Aptamers--basic research, drug development, and clinical applications. Appl Microbiol Biotechnol. 2005;69(4):367-74. U.S. Cancer Statistics Working Group. United States Cancer Statistics: 1999–2009 Incidence and Mortality Web-based Report. Atlanta (GA): Department of Health and Human Services, Centers for Disease Control and Prevention, and National Cancer Institute; 2013 Wu Y, Sefah K, Liu H, Wang R, Tan W. DNA aptamer-micelle as an efficient detection/delivery vehicle toward cancer cells. Proc Natl Acad Sci USA. 2010;107(1):5-10. Wuellner U, Gavrilyuk JI, Barbas CF. Expanding the concept of chemically programmable antibodies to RNA aptamers: chemically programmed biotherapeutics. Angew Chem Int Ed Engl. 2010;49(34):5934-7. Xiao Z, Levy-nissenbaum E, Alexis F, et al. Engineering of targeted nanoparticles for cancer therapy using internalizing aptamers isolated by cell-uptake selection. ACS Nano. 2012;6(1):696-704.