SlideShare ist ein Scribd-Unternehmen logo
1 von 45
Molecular Pathology of pre-mRNA splicing Part 1  International Centre for Genetic Engineering and Biotechnology. Trieste (Italy)
3’ 5’ 3’ 5’ 3’ 5’ 3’ 5’ 3’ 5’ AAAAAAAAAA aug uag Transcription 5’UTR ORF 3’UTR AAAAAAAAAA pre-mRNA splicing:  Poly-A 5’cap PolII PolII PolII PolII Splicing Export and Translation DNA pre-mRNA mRNA protein aug uag
Local RNA secondary structure can change the way these sequences are displayed Basic recognition levels are determined by trans-acting factor(s) binding to consensus splicing regulatory sequences Internal exonic or nearby intronic regions (Splicing Regulatory Elements, SREs) can regulate these basic factors by attracting both negative and positive trans-acting factors  -External stimuli/cellular stress -Spliceosomal rearrangements due to processing of upstream introns/exons -RNA Pol II Kinetics and Processivity -Variability of alternative splicing events in upstream exons  3’ss 5’ss BP SREs Fig.1 Combinatorial effect of splicing regulatory factors in exon inclusion/skipping decisions  Inclusion Skipping
Disease-causing mutations can occur in all these types splicing controlling elements:
Splicing mutations can be found in virtually any intron-containing gene. The frequency depends on overall length and individual susceptibilities Baralle D. et al. EMBO Rep 2009; 10:810-816.
What happens when one of the basic elements is altered? ATM CFTR Herg NF-1 CFTR GBA
Summary of “wet” splicing methodologies to identify pathological splicing mutations: Baralle D. et al. EMBO Rep 2009; 10:810-816.
Direct mRNA amplification from patients
Marfan syndrome (MFS; MIM154700) is a relatively common autosomal dominant hereditary disorder of connective tissue with prominent manifestations in the skeletal, ocular, and cardiovascular systems. 13% of reported mutations consist of various classes of splicing errors, most commonly affecting canonical splice sequences at exon/intron boundaries
Development of RT-PCRs for detecting RNA splicing in  the FBN1 gene  Covering 24 UVs in 19 exons In collaboration with EURASNET (and in this case with Dr. Diana Baralle: 1kb plus  e12F/e14R, 239bp, exon13- 1510T>C  & exon14- 1633C>T e15F/e17R, 196bp, exon16- 1883G>A , - 1909T>C , - 1916G>A e19F/e21R, 173bp, exon19- 2293G>A  & exon20- 2328T>A e20F/e24R, 465bp, exon22- 2645C>T e24F/e25R, 180bp, exon-25- 2927G>A e26F/e30R, 504bp, exon27- 3332G>A , exon28- 3422C>T , exon29- 3533A>G e32F/x35R, 532bp, exon33- 4069G>A , exon34- 4096G>A e44F/e48R, 474bp, exon46- 5627G>A  & - 5789A>G e51F/e53R, 224bp, exon51- 6251G>C e54F/e57R, 357bp, exon55- 6694T>C , exon56- 6815A>G e60F/e63R, 363bp, exon60- 7379A>G , exon62- 7606G>A , - 7633C>T , - 7664G>T e63F/e65R, 402bp, exon64- 7916A>G Blank 1kb plus
Detection a RNA splicing mutation in FBN1 exons 60 & 62, by RT-PCR RT-PCR was performed on patients’ peripheral blood samples. The PCR primers are located in exon60 and exon63 to give a 363bp product. It covers 4 UVs in 2 exons: c.7606G>A in exon 60, and 3 UVs at c.7664G>T, c.7633C>T and c.7379A>G in exon 62. An extra PCR band was detected in lane 2 for patient with c.7606G>A. Lane 1:  marker;  Lane 2:  c.7606G>A; e60 Lane 3:  c.7664G>T; e62 Lane 4: c.7633C>T; e62 Lane 5: c.7379A>G; e62 Lane 6: normal buffy coat; Lane 7:  PCR blank 1 2 3 4 5 6 7
Minigenes and exon skipping in Neurofibromatosis
Hybrid minigenes transfection in different cell types   0.5  μ g DNA 300.000 cells 24 hours RT-PCR analysis of splicing products using specific oligonucleotides Our “in house” minigene system:  -globin gene promoter and SV40 enhancer sequences polyA site derived from the   -globin gene fibronectin exons  -globin exons
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Ricardi 1992, Huson and Hughes 1994, Friedman and Birch 1997. NF-1 symptoms:
In NF-1 exon 37 a practical example of overlap between a coding and splicing mutation is represented by the C6792G mutation that for a long time was thought to be a translational mutation. Baralle et al. FEBS Lett. 2006 580: 4449-4456.
Using as a reference the results obtained from a patient’s lymphoblasts carrying the C6792G mutation we have investigated the importance of genomic context on reproducing the effects of splicing of this mutation:  Baralle et al. FEBS Lett. 2006 580: 4449-4456.
Buratti et al. NAR 2006 34: 3494-3510. Baralle et al. FEBS Lett. 2006 580: 4449-4456. The importance of genomic context:
Long QT Syndrome and intron retention
[object Object],[object Object],[object Object],[object Object],[object Object],Potassium channel subunits Cardiac sodium channel gene Normal QT  (390-410 msec) Prolonged QT  (> 440 msec) Genes involved in Long QT syndrome: The long QT syndrome (LQTS) is a heart condition associated with prolongation of repolarisation (recovery) following depolarisation (excitation) of the cardiac ventricles. It is associated with fainting and sudden death. Hereditary long QT syndrome (LQTS) is caused by over 250 mutations in five genes We have studied a patient that presented an IVS7+6T>C mutation in the HERG gene.
One of the most important events in 5’ splice site definition is represented by base pairing of the U1snRNA component of U1snRNP with the 5’ splice site consensus sequence.  A “T” in the +5 position is rather loosely conserved:  C  A  G  G  U  R  A  G  U Zhang et al., 1998 Is a +6T>C change capable of affecting splicing?
NdeI NdeI Exon 7 Wt  CTCATTGGCT/gtgagtgtc Exon 7 +6T>C  CTCATTGGCT/gtgag c gtc Exon 7 HERG ex 7 Wt HERG ex 7 +6T>C HERG ex 7 +6T>C + U1 C>G Zhang et al., 2004. J Am Coll Cardiol; 44(6):1283-91 HERG The +6T>C is a mutation perturbs U1 snRNP interaction with the 5’ss and in a minigene system causes intron retention. 200 400 500 650 1650 850 1000
RNA secondary structure, pre-mRNA splicing, and disease
m 7 GpppG “ cap” AAAAA m 7 GpppG “ polyA” AAAAA “ polyA” In theory, mRNA molecules should be anything but linear: However, with the exception of the 3’UTR and 5’UTR regions of mRNAs which are sometimes known  to fold in characteristic secondary structures the evidence gathered from many splicing systems suggests that secondary structure seldom needs to be invoked as a regulator of splicing. “ cap”
The notion that mRNA molecules may behave largely as linear molecules is based on the observation that a nascent trascript is often coated by many different proteins (mainly belonging to the hnRNP proteins family) which keep it in a linear conformation
Gevertz et al. RNA 2005; 11: 853-863 Percent of sequences in each pool that fold to linear structures (represented by solid line), structures with one branch (dashed line), and structures with two or more branches (dash-dotted line) Four antibiotic-binding aptamer structures and their tree graphs How easily does mRNA fold?.
The question still remains whether pre-mRNA molecules may retain some small structured “islands” and whether this structure can influence the splicing process. Buratti and Baralle MCB 2004; 24: 10505-10514
Over the years experimental evidence has suggested that RNA folding can affect the presentation/distance of 5’ss, 3’ss, branch-point elements Buratti and Baralle MCB 2004; 24: 10505-10514
……… enhancer and silencer elements……….. Buratti and Baralle MCB 2004; 24: 10505-10514
…… ..by changing the overall architecture of the pre-mRNA………… Buratti and Baralle MCB 2004; 24: 10505-10514
Varani, L et al. (1999) Proc. Natl. Acad. Sci. USA 96, 8229-8234 In the tau gene RNA secondary structure has been proposed to be responsible for the occurrence of fronto-temporal dementia and Parkinsonism.  Buratti and Baralle MCB 2004; 24: 10505-10514
Bioinformatics approaches
The bioinformatics connection:
Example of a program: Schwartz et al., NAR, 2009, 37:W189- 1 92
How good are bioinformatics programs?
How can RNA secondary structure be predicted?. Two main approaches are commonly used by researchers (both freely available on the web): Energy minimization: Probabilistic model + sequence comparison:
Random sequences can be generated at Bioinformatics.org/sms/rand_dna.html 2. Average number of predicted secondary structures for random RNA sequence groups of differing length grows rapidly with length. No. of structures within 5% suboptimality. Sequence length (nucleotides) Advantages and disadvantages of energy minimization approaches: 1. Fast, only requires the knowledge of the sequence of interest, is based on highly optimized energy minimization parameters and folding algorithms. 3. Prediction is highly dependent on the nucleotide “window” used for the analysis (changing the window by even a few nucleotides can profoundly change the output structure/energy).  catggcatcaaatcttttccccgtaccgactatagg ggcta catgg catcaaatcttttccccgtaccgactataggggcta
2. Requires the pre-requisite knowledge of many sequence that are already known to fold in a functionally-important structure. Any mistake in this choice can be fatal for the accuracy of the prediction. Advantages and disadvantages of sequence-comparison approaches: 1. Allows to take into account evolutionary pressure to maintain a selected RNA structure (ie. evolution is doing the work instead of you), and as a result can provide the researcher with a single potential structure: 3. It is highly dependent on the correct “alignment” process between these sequences  Knudsen, B. et al. Nucl. Acids Res. 2003 31:3423-3428; doi:10.1093/nar/gkg614
 
Splicing therapy
A thalassemic allele of human -globin leads to production of a primary transcript that contains a cryptic exon, which is included in the majority of the -globin mRNAs. Antisense oligonucleotides (red arrows) can block the splice sites flanking the cryptic exon leading to a reduction in the inclusion of the cryptic exon. Similarly, antisense oligonucleotides can be used to reduce the ratio of exon 10 +  to exon 10 -  MAPT transcripts. The inset shows the mechanism of action of a 5' splice site blocking antisense oligonucleotide that prevents U1 snRNP binding. Garcia-Blanco et al. Nat.Biotechnol. (2004) 22:535-546.
Isoform-specific RNAi is presented in this panel. Exon-specific siRNAs (or micro RNAs) can be deployed to selectively destroy the mRNA encoding the anti-apoptotic Bcl-xL while not affecting the levels of the mRNA encoding the pro-apoptotic Bcl-xS.  Garcia-Blanco et al. Nat.Biotechnol. (2004) 22:535-546.
This schematic shows the paralogs SMN2 and a mutant allele of the more telomeric smn1. The regions spanning exons 6 through 8 of the primary transcripts are shown. The C to U difference in exon 7 of the two transcripts is indicated. This difference leads to skipping of exon 7 in a significant proportion of SMN2 transcripts. The schematic summarizes the use of IFNs, valproic acid and sodium butyrate to enhance transcription of SMN2. Enhancement of exon 7 inclusion by treatment with valproic acid, sodium butyrate and acalrubicin, perhaps mediated by increases in levels of SR proteins, is also indicated. Green arrows indicate demonstrated effects and dashed green arrows (or dashed red inhibitory lines) indicate weak or presumed effects. Garcia-Blanco et al. Nat.Biotechnol. (2004) 22:535-546.
This schematic show variation of antisense oligonucleotides with the TOES and TOSS bifunctional reagent. One half of the therapeutic reagent targets it to the correct location within the primary transcript and the second component of the reagent provides either activating or silencing function. The inset provides schematics for the presumed mechanism of action.  Garcia-Blanco et al. Nat.Biotechnol. (2004) 22:535-546.
Varani, L. et al. NAR 2000 28:710-719 Surface representation with electrostatic potential map of the human tau exon 10 splicing regulatory element (left) and of its complex with neomycin B (right). Binding causes a marked increase in the stability of the regulatory wild type and mutant elements. This kind or results represent a starting point for the development of small compounds aimed at developing new splicing-based therapies.
Conclusions: -Mutations affecting the pre-mRNA splicing process are a major cause of disease. -Pathological splicing mutations that affect the exonic splicing code are difficult to predict owing to the great complexity of the pre-mRNA splicing process in higher eukaryotes. -Presently, experimental analyses is still required to unambigously identify splicing-affecting mutations from harmless nucleotide variants. -Splicing mutations associated with disease are not limited to exonic sequences. -Better knowledge of splicing will offer new therapeutic opportunities to treat a great variety of diseases.

Weitere ähnliche Inhalte

Was ist angesagt?

Lessons learned from high throughput CRISPR targeting in human cell lines
Lessons learned from high throughput CRISPR targeting in human cell linesLessons learned from high throughput CRISPR targeting in human cell lines
Lessons learned from high throughput CRISPR targeting in human cell linesChris Thorne
 
Talk 2008-meeting about NAD
Talk 2008-meeting about NADTalk 2008-meeting about NAD
Talk 2008-meeting about NADchenmiaomiao
 
"The role of the nuclear factor TDP 43 in neurodegeneration" by Francisco E. ...
"The role of the nuclear factor TDP 43 in neurodegeneration" by Francisco E. ..."The role of the nuclear factor TDP 43 in neurodegeneration" by Francisco E. ...
"The role of the nuclear factor TDP 43 in neurodegeneration" by Francisco E. ...Vall d'Hebron Institute of Research (VHIR)
 
Topic 11 Slides On Gat Paper
Topic 11   Slides On Gat PaperTopic 11   Slides On Gat Paper
Topic 11 Slides On Gat PaperSimon Bishop
 
Noncoding RNAs in Cardiovascular Disease – Potential as Biomarkers and More
Noncoding RNAs in Cardiovascular Disease – Potential as Biomarkers and MoreNoncoding RNAs in Cardiovascular Disease – Potential as Biomarkers and More
Noncoding RNAs in Cardiovascular Disease – Potential as Biomarkers and MoreQIAGEN
 
Stable knockout cell line generation
Stable knockout cell line generationStable knockout cell line generation
Stable knockout cell line generationStella Evelyn
 
miRNA profiling from blood challenges and recommendations - Download the article
miRNA profiling from blood challenges and recommendations - Download the articlemiRNA profiling from blood challenges and recommendations - Download the article
miRNA profiling from blood challenges and recommendations - Download the articleQIAGEN
 
20161004 mapk dna_ref_standardslides
20161004 mapk dna_ref_standardslides20161004 mapk dna_ref_standardslides
20161004 mapk dna_ref_standardslidesMaki Ogawa
 
Genetic Repair of Retinitis Pigmentosa in Patient Derived Stem Cells
Genetic Repair of Retinitis Pigmentosa in Patient Derived Stem CellsGenetic Repair of Retinitis Pigmentosa in Patient Derived Stem Cells
Genetic Repair of Retinitis Pigmentosa in Patient Derived Stem CellsBelal Abu Haneya
 

Was ist angesagt? (19)

Lessons learned from high throughput CRISPR targeting in human cell lines
Lessons learned from high throughput CRISPR targeting in human cell linesLessons learned from high throughput CRISPR targeting in human cell lines
Lessons learned from high throughput CRISPR targeting in human cell lines
 
Talk 2008-meeting about NAD
Talk 2008-meeting about NADTalk 2008-meeting about NAD
Talk 2008-meeting about NAD
 
PosterPDF
PosterPDFPosterPDF
PosterPDF
 
"The role of the nuclear factor TDP 43 in neurodegeneration" by Francisco E. ...
"The role of the nuclear factor TDP 43 in neurodegeneration" by Francisco E. ..."The role of the nuclear factor TDP 43 in neurodegeneration" by Francisco E. ...
"The role of the nuclear factor TDP 43 in neurodegeneration" by Francisco E. ...
 
Topic 11 Slides On Gat Paper
Topic 11   Slides On Gat PaperTopic 11   Slides On Gat Paper
Topic 11 Slides On Gat Paper
 
Genome editing tools article
Genome editing tools   articleGenome editing tools   article
Genome editing tools article
 
Noncoding RNAs in Cardiovascular Disease – Potential as Biomarkers and More
Noncoding RNAs in Cardiovascular Disease – Potential as Biomarkers and MoreNoncoding RNAs in Cardiovascular Disease – Potential as Biomarkers and More
Noncoding RNAs in Cardiovascular Disease – Potential as Biomarkers and More
 
ACMG Workshop 2011
ACMG Workshop 2011ACMG Workshop 2011
ACMG Workshop 2011
 
Stable knockout cell line generation
Stable knockout cell line generationStable knockout cell line generation
Stable knockout cell line generation
 
miRNA profiling from blood challenges and recommendations - Download the article
miRNA profiling from blood challenges and recommendations - Download the articlemiRNA profiling from blood challenges and recommendations - Download the article
miRNA profiling from blood challenges and recommendations - Download the article
 
Oncogene
OncogeneOncogene
Oncogene
 
Embed Repro Test
Embed Repro TestEmbed Repro Test
Embed Repro Test
 
2014 11 03_bioinformatics_case_studies
2014 11 03_bioinformatics_case_studies2014 11 03_bioinformatics_case_studies
2014 11 03_bioinformatics_case_studies
 
Presentation final
Presentation finalPresentation final
Presentation final
 
20161004 mapk dna_ref_standardslides
20161004 mapk dna_ref_standardslides20161004 mapk dna_ref_standardslides
20161004 mapk dna_ref_standardslides
 
Dr. Croce on Causes and Consequences of microRNA Dysregulation in Cancer
Dr. Croce on Causes and Consequences of microRNA Dysregulation in CancerDr. Croce on Causes and Consequences of microRNA Dysregulation in Cancer
Dr. Croce on Causes and Consequences of microRNA Dysregulation in Cancer
 
Genetic Repair of Retinitis Pigmentosa in Patient Derived Stem Cells
Genetic Repair of Retinitis Pigmentosa in Patient Derived Stem CellsGenetic Repair of Retinitis Pigmentosa in Patient Derived Stem Cells
Genetic Repair of Retinitis Pigmentosa in Patient Derived Stem Cells
 
NiH_Presentation
NiH_PresentationNiH_Presentation
NiH_Presentation
 
GKA deel 1 college 9
GKA deel 1 college 9GKA deel 1 college 9
GKA deel 1 college 9
 

Ähnlich wie 2011 Rna Course Part 1

On predicting mutation status from transcriptome sequencing data
On predicting mutation status from transcriptome sequencing dataOn predicting mutation status from transcriptome sequencing data
On predicting mutation status from transcriptome sequencing dataShiraishi Yuichi
 
Regulation of atp7 a gene expression by the grx1 as an inducer in menkes d...
Regulation of atp7 a gene expression by the    grx1 as an inducer in menkes d...Regulation of atp7 a gene expression by the    grx1 as an inducer in menkes d...
Regulation of atp7 a gene expression by the grx1 as an inducer in menkes d...Pranamee Sarma
 
Regulation Of Atp7 A Gene Expression By The Grx1 As An Inducer In Menkes D...
Regulation Of Atp7 A Gene Expression By The    Grx1 As An Inducer In Menkes D...Regulation Of Atp7 A Gene Expression By The    Grx1 As An Inducer In Menkes D...
Regulation Of Atp7 A Gene Expression By The Grx1 As An Inducer In Menkes D...pranamees
 
Research report (alternative splicing, protein structure; retinitis pigmentosa)
Research report (alternative splicing, protein structure; retinitis pigmentosa)Research report (alternative splicing, protein structure; retinitis pigmentosa)
Research report (alternative splicing, protein structure; retinitis pigmentosa)avalgar
 
nonsyndromic orofacial cleft and palate
nonsyndromic orofacial cleft and palatenonsyndromic orofacial cleft and palate
nonsyndromic orofacial cleft and palatehad89
 
Molecular Genetics in MPN
Molecular Genetics in MPNMolecular Genetics in MPN
Molecular Genetics in MPNARUN KUMAR
 
Transcription and Translation
Transcription and TranslationTranscription and Translation
Transcription and TranslationAnkit Kumar
 
Rules and impact of nonsense-mediated mRNA decay in human cancers
Rules and impact of nonsense-mediated mRNA decay in human cancersRules and impact of nonsense-mediated mRNA decay in human cancers
Rules and impact of nonsense-mediated mRNA decay in human cancersFran Supek
 
Microarray biotechnologg ppy dna microarrays
Microarray biotechnologg ppy dna microarraysMicroarray biotechnologg ppy dna microarrays
Microarray biotechnologg ppy dna microarraysayeshasattarsandhu
 
Aug2015 analysis team 10 mason epigentics
Aug2015 analysis team 10 mason epigenticsAug2015 analysis team 10 mason epigentics
Aug2015 analysis team 10 mason epigenticsGenomeInABottle
 

Ähnlich wie 2011 Rna Course Part 1 (20)

On predicting mutation status from transcriptome sequencing data
On predicting mutation status from transcriptome sequencing dataOn predicting mutation status from transcriptome sequencing data
On predicting mutation status from transcriptome sequencing data
 
Regulation of atp7 a gene expression by the grx1 as an inducer in menkes d...
Regulation of atp7 a gene expression by the    grx1 as an inducer in menkes d...Regulation of atp7 a gene expression by the    grx1 as an inducer in menkes d...
Regulation of atp7 a gene expression by the grx1 as an inducer in menkes d...
 
Regulation Of Atp7 A Gene Expression By The Grx1 As An Inducer In Menkes D...
Regulation Of Atp7 A Gene Expression By The    Grx1 As An Inducer In Menkes D...Regulation Of Atp7 A Gene Expression By The    Grx1 As An Inducer In Menkes D...
Regulation Of Atp7 A Gene Expression By The Grx1 As An Inducer In Menkes D...
 
Research report (alternative splicing, protein structure; retinitis pigmentosa)
Research report (alternative splicing, protein structure; retinitis pigmentosa)Research report (alternative splicing, protein structure; retinitis pigmentosa)
Research report (alternative splicing, protein structure; retinitis pigmentosa)
 
Alexia Chrysostomou (083707160)
Alexia Chrysostomou (083707160)Alexia Chrysostomou (083707160)
Alexia Chrysostomou (083707160)
 
Molecular markers
Molecular markersMolecular markers
Molecular markers
 
nonsyndromic orofacial cleft and palate
nonsyndromic orofacial cleft and palatenonsyndromic orofacial cleft and palate
nonsyndromic orofacial cleft and palate
 
Fans
FansFans
Fans
 
3.wall.transcription
3.wall.transcription3.wall.transcription
3.wall.transcription
 
Molecular Marker Techniques
Molecular Marker TechniquesMolecular Marker Techniques
Molecular Marker Techniques
 
Spliceosome
SpliceosomeSpliceosome
Spliceosome
 
Molecular Genetics in MPN
Molecular Genetics in MPNMolecular Genetics in MPN
Molecular Genetics in MPN
 
Post-Transcriptional Modification of Eukaryotic mRNA
Post-Transcriptional Modification of Eukaryotic mRNAPost-Transcriptional Modification of Eukaryotic mRNA
Post-Transcriptional Modification of Eukaryotic mRNA
 
Wnt part ii 2013
Wnt part ii 2013Wnt part ii 2013
Wnt part ii 2013
 
Transcription and Translation
Transcription and TranslationTranscription and Translation
Transcription and Translation
 
NCSU Poster
NCSU PosterNCSU Poster
NCSU Poster
 
Rules and impact of nonsense-mediated mRNA decay in human cancers
Rules and impact of nonsense-mediated mRNA decay in human cancersRules and impact of nonsense-mediated mRNA decay in human cancers
Rules and impact of nonsense-mediated mRNA decay in human cancers
 
Microarray biotechnologg ppy dna microarrays
Microarray biotechnologg ppy dna microarraysMicroarray biotechnologg ppy dna microarrays
Microarray biotechnologg ppy dna microarrays
 
Point mutations ppt
Point mutations pptPoint mutations ppt
Point mutations ppt
 
Aug2015 analysis team 10 mason epigentics
Aug2015 analysis team 10 mason epigenticsAug2015 analysis team 10 mason epigentics
Aug2015 analysis team 10 mason epigentics
 

2011 Rna Course Part 1

  • 1. Molecular Pathology of pre-mRNA splicing Part 1 International Centre for Genetic Engineering and Biotechnology. Trieste (Italy)
  • 2. 3’ 5’ 3’ 5’ 3’ 5’ 3’ 5’ 3’ 5’ AAAAAAAAAA aug uag Transcription 5’UTR ORF 3’UTR AAAAAAAAAA pre-mRNA splicing: Poly-A 5’cap PolII PolII PolII PolII Splicing Export and Translation DNA pre-mRNA mRNA protein aug uag
  • 3. Local RNA secondary structure can change the way these sequences are displayed Basic recognition levels are determined by trans-acting factor(s) binding to consensus splicing regulatory sequences Internal exonic or nearby intronic regions (Splicing Regulatory Elements, SREs) can regulate these basic factors by attracting both negative and positive trans-acting factors -External stimuli/cellular stress -Spliceosomal rearrangements due to processing of upstream introns/exons -RNA Pol II Kinetics and Processivity -Variability of alternative splicing events in upstream exons 3’ss 5’ss BP SREs Fig.1 Combinatorial effect of splicing regulatory factors in exon inclusion/skipping decisions Inclusion Skipping
  • 4. Disease-causing mutations can occur in all these types splicing controlling elements:
  • 5. Splicing mutations can be found in virtually any intron-containing gene. The frequency depends on overall length and individual susceptibilities Baralle D. et al. EMBO Rep 2009; 10:810-816.
  • 6. What happens when one of the basic elements is altered? ATM CFTR Herg NF-1 CFTR GBA
  • 7. Summary of “wet” splicing methodologies to identify pathological splicing mutations: Baralle D. et al. EMBO Rep 2009; 10:810-816.
  • 9. Marfan syndrome (MFS; MIM154700) is a relatively common autosomal dominant hereditary disorder of connective tissue with prominent manifestations in the skeletal, ocular, and cardiovascular systems. 13% of reported mutations consist of various classes of splicing errors, most commonly affecting canonical splice sequences at exon/intron boundaries
  • 10. Development of RT-PCRs for detecting RNA splicing in the FBN1 gene Covering 24 UVs in 19 exons In collaboration with EURASNET (and in this case with Dr. Diana Baralle: 1kb plus e12F/e14R, 239bp, exon13- 1510T>C & exon14- 1633C>T e15F/e17R, 196bp, exon16- 1883G>A , - 1909T>C , - 1916G>A e19F/e21R, 173bp, exon19- 2293G>A & exon20- 2328T>A e20F/e24R, 465bp, exon22- 2645C>T e24F/e25R, 180bp, exon-25- 2927G>A e26F/e30R, 504bp, exon27- 3332G>A , exon28- 3422C>T , exon29- 3533A>G e32F/x35R, 532bp, exon33- 4069G>A , exon34- 4096G>A e44F/e48R, 474bp, exon46- 5627G>A & - 5789A>G e51F/e53R, 224bp, exon51- 6251G>C e54F/e57R, 357bp, exon55- 6694T>C , exon56- 6815A>G e60F/e63R, 363bp, exon60- 7379A>G , exon62- 7606G>A , - 7633C>T , - 7664G>T e63F/e65R, 402bp, exon64- 7916A>G Blank 1kb plus
  • 11. Detection a RNA splicing mutation in FBN1 exons 60 & 62, by RT-PCR RT-PCR was performed on patients’ peripheral blood samples. The PCR primers are located in exon60 and exon63 to give a 363bp product. It covers 4 UVs in 2 exons: c.7606G>A in exon 60, and 3 UVs at c.7664G>T, c.7633C>T and c.7379A>G in exon 62. An extra PCR band was detected in lane 2 for patient with c.7606G>A. Lane 1: marker; Lane 2: c.7606G>A; e60 Lane 3: c.7664G>T; e62 Lane 4: c.7633C>T; e62 Lane 5: c.7379A>G; e62 Lane 6: normal buffy coat; Lane 7: PCR blank 1 2 3 4 5 6 7
  • 12. Minigenes and exon skipping in Neurofibromatosis
  • 13. Hybrid minigenes transfection in different cell types 0.5 μ g DNA 300.000 cells 24 hours RT-PCR analysis of splicing products using specific oligonucleotides Our “in house” minigene system:  -globin gene promoter and SV40 enhancer sequences polyA site derived from the  -globin gene fibronectin exons  -globin exons
  • 14.
  • 15. In NF-1 exon 37 a practical example of overlap between a coding and splicing mutation is represented by the C6792G mutation that for a long time was thought to be a translational mutation. Baralle et al. FEBS Lett. 2006 580: 4449-4456.
  • 16. Using as a reference the results obtained from a patient’s lymphoblasts carrying the C6792G mutation we have investigated the importance of genomic context on reproducing the effects of splicing of this mutation: Baralle et al. FEBS Lett. 2006 580: 4449-4456.
  • 17. Buratti et al. NAR 2006 34: 3494-3510. Baralle et al. FEBS Lett. 2006 580: 4449-4456. The importance of genomic context:
  • 18. Long QT Syndrome and intron retention
  • 19.
  • 20. One of the most important events in 5’ splice site definition is represented by base pairing of the U1snRNA component of U1snRNP with the 5’ splice site consensus sequence. A “T” in the +5 position is rather loosely conserved: C A G G U R A G U Zhang et al., 1998 Is a +6T>C change capable of affecting splicing?
  • 21. NdeI NdeI Exon 7 Wt CTCATTGGCT/gtgagtgtc Exon 7 +6T>C CTCATTGGCT/gtgag c gtc Exon 7 HERG ex 7 Wt HERG ex 7 +6T>C HERG ex 7 +6T>C + U1 C>G Zhang et al., 2004. J Am Coll Cardiol; 44(6):1283-91 HERG The +6T>C is a mutation perturbs U1 snRNP interaction with the 5’ss and in a minigene system causes intron retention. 200 400 500 650 1650 850 1000
  • 22. RNA secondary structure, pre-mRNA splicing, and disease
  • 23. m 7 GpppG “ cap” AAAAA m 7 GpppG “ polyA” AAAAA “ polyA” In theory, mRNA molecules should be anything but linear: However, with the exception of the 3’UTR and 5’UTR regions of mRNAs which are sometimes known to fold in characteristic secondary structures the evidence gathered from many splicing systems suggests that secondary structure seldom needs to be invoked as a regulator of splicing. “ cap”
  • 24. The notion that mRNA molecules may behave largely as linear molecules is based on the observation that a nascent trascript is often coated by many different proteins (mainly belonging to the hnRNP proteins family) which keep it in a linear conformation
  • 25. Gevertz et al. RNA 2005; 11: 853-863 Percent of sequences in each pool that fold to linear structures (represented by solid line), structures with one branch (dashed line), and structures with two or more branches (dash-dotted line) Four antibiotic-binding aptamer structures and their tree graphs How easily does mRNA fold?.
  • 26. The question still remains whether pre-mRNA molecules may retain some small structured “islands” and whether this structure can influence the splicing process. Buratti and Baralle MCB 2004; 24: 10505-10514
  • 27. Over the years experimental evidence has suggested that RNA folding can affect the presentation/distance of 5’ss, 3’ss, branch-point elements Buratti and Baralle MCB 2004; 24: 10505-10514
  • 28. ……… enhancer and silencer elements……….. Buratti and Baralle MCB 2004; 24: 10505-10514
  • 29. …… ..by changing the overall architecture of the pre-mRNA………… Buratti and Baralle MCB 2004; 24: 10505-10514
  • 30. Varani, L et al. (1999) Proc. Natl. Acad. Sci. USA 96, 8229-8234 In the tau gene RNA secondary structure has been proposed to be responsible for the occurrence of fronto-temporal dementia and Parkinsonism. Buratti and Baralle MCB 2004; 24: 10505-10514
  • 33. Example of a program: Schwartz et al., NAR, 2009, 37:W189- 1 92
  • 34. How good are bioinformatics programs?
  • 35. How can RNA secondary structure be predicted?. Two main approaches are commonly used by researchers (both freely available on the web): Energy minimization: Probabilistic model + sequence comparison:
  • 36. Random sequences can be generated at Bioinformatics.org/sms/rand_dna.html 2. Average number of predicted secondary structures for random RNA sequence groups of differing length grows rapidly with length. No. of structures within 5% suboptimality. Sequence length (nucleotides) Advantages and disadvantages of energy minimization approaches: 1. Fast, only requires the knowledge of the sequence of interest, is based on highly optimized energy minimization parameters and folding algorithms. 3. Prediction is highly dependent on the nucleotide “window” used for the analysis (changing the window by even a few nucleotides can profoundly change the output structure/energy). catggcatcaaatcttttccccgtaccgactatagg ggcta catgg catcaaatcttttccccgtaccgactataggggcta
  • 37. 2. Requires the pre-requisite knowledge of many sequence that are already known to fold in a functionally-important structure. Any mistake in this choice can be fatal for the accuracy of the prediction. Advantages and disadvantages of sequence-comparison approaches: 1. Allows to take into account evolutionary pressure to maintain a selected RNA structure (ie. evolution is doing the work instead of you), and as a result can provide the researcher with a single potential structure: 3. It is highly dependent on the correct “alignment” process between these sequences Knudsen, B. et al. Nucl. Acids Res. 2003 31:3423-3428; doi:10.1093/nar/gkg614
  • 38.  
  • 40. A thalassemic allele of human -globin leads to production of a primary transcript that contains a cryptic exon, which is included in the majority of the -globin mRNAs. Antisense oligonucleotides (red arrows) can block the splice sites flanking the cryptic exon leading to a reduction in the inclusion of the cryptic exon. Similarly, antisense oligonucleotides can be used to reduce the ratio of exon 10 + to exon 10 - MAPT transcripts. The inset shows the mechanism of action of a 5' splice site blocking antisense oligonucleotide that prevents U1 snRNP binding. Garcia-Blanco et al. Nat.Biotechnol. (2004) 22:535-546.
  • 41. Isoform-specific RNAi is presented in this panel. Exon-specific siRNAs (or micro RNAs) can be deployed to selectively destroy the mRNA encoding the anti-apoptotic Bcl-xL while not affecting the levels of the mRNA encoding the pro-apoptotic Bcl-xS. Garcia-Blanco et al. Nat.Biotechnol. (2004) 22:535-546.
  • 42. This schematic shows the paralogs SMN2 and a mutant allele of the more telomeric smn1. The regions spanning exons 6 through 8 of the primary transcripts are shown. The C to U difference in exon 7 of the two transcripts is indicated. This difference leads to skipping of exon 7 in a significant proportion of SMN2 transcripts. The schematic summarizes the use of IFNs, valproic acid and sodium butyrate to enhance transcription of SMN2. Enhancement of exon 7 inclusion by treatment with valproic acid, sodium butyrate and acalrubicin, perhaps mediated by increases in levels of SR proteins, is also indicated. Green arrows indicate demonstrated effects and dashed green arrows (or dashed red inhibitory lines) indicate weak or presumed effects. Garcia-Blanco et al. Nat.Biotechnol. (2004) 22:535-546.
  • 43. This schematic show variation of antisense oligonucleotides with the TOES and TOSS bifunctional reagent. One half of the therapeutic reagent targets it to the correct location within the primary transcript and the second component of the reagent provides either activating or silencing function. The inset provides schematics for the presumed mechanism of action. Garcia-Blanco et al. Nat.Biotechnol. (2004) 22:535-546.
  • 44. Varani, L. et al. NAR 2000 28:710-719 Surface representation with electrostatic potential map of the human tau exon 10 splicing regulatory element (left) and of its complex with neomycin B (right). Binding causes a marked increase in the stability of the regulatory wild type and mutant elements. This kind or results represent a starting point for the development of small compounds aimed at developing new splicing-based therapies.
  • 45. Conclusions: -Mutations affecting the pre-mRNA splicing process are a major cause of disease. -Pathological splicing mutations that affect the exonic splicing code are difficult to predict owing to the great complexity of the pre-mRNA splicing process in higher eukaryotes. -Presently, experimental analyses is still required to unambigously identify splicing-affecting mutations from harmless nucleotide variants. -Splicing mutations associated with disease are not limited to exonic sequences. -Better knowledge of splicing will offer new therapeutic opportunities to treat a great variety of diseases.

Hinweis der Redaktion

  1. Multisystem disorder. HT, LDs and cancer. Some features overlap with other syndromes. Need some experience and skill to define the disorder. Intra and inter familial variability.
  2. To date hereditary lqt is caused by over 250 mutations in 5 different genes, 4 of which encode potassium channel subunits. and
  3. So to verify the pathogenicity of the substitution we performed a functional analysis using a hybrid minigene in which we cloned our exon of interest with intronic flanking regions both wt and carrying the +6 T>C substitution. After transient transfection and rt pcr analysis we can see that with the wt sequence the splicing reaction properly occurs but when we have the +6 mutation we have the retention of the intron. Before I told you that this region interacts with the u1 protein through a basepairing mechanism and the +6 mutation causes the lost of this bond which can make the u1 protein no longer able to recognize this 5’ss causing intron retention so to verify that we made a u1 protein complementary mutated to our substitution in order to recover the original base pairing and indeed after cotransfection of this u1 with our mutated sequence we had the recover of the normal splicing pattern. So we can now say that this +6T>C is indeed resposible for the lqts because it is causing intron retention in the mature transcript. Well this pathological splicing pattern was very interesting for us because