SlideShare ist ein Scribd-Unternehmen logo
1 von 18
Downloaden Sie, um offline zu lesen
Signatures	
  of	
  pleiotropy,	
  economy	
  and	
  	
  
convergent	
  evolu6on	
  in	
  a	
  domain-­‐resolved	
  map	
  of	
  
human-­‐virus	
  protein-­‐protein	
  interac6on	
  networks	
  
Yu	
  (Brandon)	
  Xia	
  
Department	
  of	
  Bioengineering	
  
McGill	
  University	
  
Eric	
  Franzosa	
  Sara	
  Garamszegi	
  
Between-­‐species	
  systems	
  biology	
  
H
H
H
H
H
H
H
H
H
V H Human
Protein
Virus
Protein
Sequence
Homology
Known
Interaction
Stable
Complex
V H
H
H
HV
H
H
H
V
(a) (b) (c)
V	
  
V	
  
V	
  
V	
  
•  Within-­‐human	
  PPI	
  network:	
  endogenous	
  
•  Human-­‐virus	
  PPI	
  network:	
  exogenous	
  
2	
  [Uetz,	
  2006;	
  Calderwood,	
  2007;	
  Dyer,	
  2008;	
  etc.]	
  
Between-­‐species	
  structural	
  systems	
  biology	
  
H
H
H
H
H
H
H
H
H
V H Human
Protein
Virus
Protein
Sequence
Homology
Known
Interaction
Stable
Complex
V H
H
H
HV
H
H
H
V
(a) (b) (c)
V	
  
V	
  
V	
  
V	
  
•  Within-­‐human	
  PPI	
  network:	
  endogenous	
  
•  Human-­‐virus	
  PPI	
  network:	
  exogenous	
  
3	
  
Template-­‐based	
  modeling	
  
[Franzosa	
  and	
  Xia,	
  PNAS	
  2011]	
  
Within-­‐human	
  and	
  human-­‐virus	
  
structural	
  interac6on	
  networks	
  
53	
  exogenous	
  interac6ons	
  
3,039	
  endogenous	
  interac6ons	
  
4	
  
[Franzosa	
  and	
  Xia,	
  PNAS	
  2011]	
  
Virus	
  proteins	
  tend	
  to	
  bind	
  to	
  exis6ng	
  
endogenous	
  interfaces	
  
[Franzosa	
  and	
  Xia,	
  PNAS	
  2011]	
   5	
  
H	
  
H	
  
V	
  
Proper6es	
  of	
  mimicked	
  interfaces	
  
•  Endogenous	
  interfaces	
  mimicked	
  by	
  virus	
  proteins	
  tend	
  to	
  involve	
  regulatory	
  
ac6vi6es,	
  transient	
  binding,	
  and	
  parWcipate	
  in	
  mul6ple	
  endogenous	
  
interac6ons	
  
•  Viruses	
  target	
  high-­‐level,	
  regulatory	
  components	
  of	
  the	
  cellular	
  circuitry	
  
6	
  
H	
  
H	
  
H	
  
H	
  
H	
  
V	
  
H	
  
H	
  
V	
  
H	
  
H	
  
H	
  
V	
  
H	
  
[Franzosa	
  and	
  Xia,	
  PNAS	
  2011]	
  
Viral	
  binding	
  accelerates	
  endogenous	
  
interface	
  evolu6on	
  
[Franzosa	
  and	
  Xia,	
  PNAS	
  2011]	
   7	
  
8	
  
Two	
  types	
  of	
  protein-­‐protein	
  interac6ons	
  
Domain-­‐domain	
  interac6on 	
   	
  Domain-­‐mo6f	
  interac6on	
  
9	
  
Case	
  studies	
  
[Davey,	
  Travé,	
  Gibson,	
  Trends	
  Biochem	
  Sci	
  2011]	
  
10	
  
A	
  domain-­‐resolved	
  map	
  of	
  human-­‐human	
  and	
  
human-­‐virus	
  protein-­‐protein	
  interac6on	
  networks	
  
[Garamszegi,	
  Franzosa,	
  Xia,	
  PLoS	
  Pathogens	
  2013]	
  
11	
  
Domain-­‐resolved	
  interac6ons	
  are	
  of	
  high	
  quality	
  
[Garamszegi,	
  Franzosa,	
  Xia,	
  PLoS	
  Pathogens	
  2013]	
  
12	
  
Binding	
  site	
  mimicry	
  evolves	
  differently	
  in	
  virus	
  and	
  
human	
  proteins	
  
[Garamszegi,	
  Franzosa,	
  Xia,	
  PLoS	
  Pathogens	
  2013]	
  
13	
  
Viral	
  proteins	
  tend	
  to	
  target	
  human	
  proteins	
  
containing	
  linear	
  mo6f-­‐binding	
  (LMB)	
  domains	
  	
  
[Garamszegi,	
  Franzosa,	
  Xia,	
  PLoS	
  Pathogens	
  2013]	
  
14	
  
Viruses	
  tend	
  to	
  target	
  human	
  proteins	
  containing	
  
LMB	
  domains,	
  independent	
  of	
  host	
  protein	
  degree	
  	
  
[Garamszegi,	
  Franzosa,	
  Xia,	
  PLoS	
  Pathogens	
  2013]	
  
15	
  
Viral	
  proteins	
  have	
  a	
  higher	
  frac6on	
  of	
  domain-­‐mo6f	
  
interac6ons	
  than	
  human	
  proteins	
  
[Garamszegi,	
  Franzosa,	
  Xia,	
  PLoS	
  Pathogens	
  2013]	
  
16	
  
Viral	
  proteins	
  target	
  LMB	
  domains	
  at	
  
greater	
  density	
  than	
  human	
  proteins	
  
[Garamszegi,	
  Franzosa,	
  Xia,	
  PLoS	
  Pathogens	
  2013]	
  
Our	
  domain-­‐
resolved	
  network	
  
CCSB	
  interactome	
  
network	
  
Three	
  design	
  principles	
  of	
  the	
  domain-­‐
resolved	
  human-­‐virus	
  protein-­‐protein	
  
interac6on	
  network	
  
•  Human-­‐virus	
  PPI	
  network	
  is	
  antagonis6c	
  
•  Human-­‐virus	
  PPI	
  network	
  is	
  economical	
  
•  Human-­‐virus	
  PPI	
  network	
  is	
  strongly	
  shaped	
  by	
  convergent	
  
evolu6on	
  
•  Most	
  of	
  these	
  signatures	
  are	
  only	
  apparent	
  at	
  high	
  resoluWon	
  
17	
  
Acknowledgments	
  
•  Eric	
  Franzosa	
  
•  Chetanya	
  Pandya	
  
	
  
•  KonstanWn	
  Voevodski	
  
•  Jignesh	
  Parikh	
  
•  Han	
  Hu	
  
	
  
•  Yong	
  Wang	
  
•  Jasmin	
  Coulombe-­‐HunWngton	
  
•  Christopher	
  Jacobs	
  
•  Bolan	
  Linghu	
  	
  
•  Sara	
  Garamszegi	
  
•  Alexandra	
  Dumitriu	
  
•  Ran	
  Xue	
  
•  Qingyu	
  Gao	
  
•  Sachit	
  Bakshi	
  
•  Kevin	
  Lynagh	
  
•  Javier	
  Pérez-­‐Florido	
  
	
  
	
  
	
  
18	
  
Funding	
  

Weitere ähnliche Inhalte

Ähnlich wie NetBioSIG2014-Talk by Yu Xia

CECAM-2015_ESR10_poster_Andrew-Brockman
CECAM-2015_ESR10_poster_Andrew-BrockmanCECAM-2015_ESR10_poster_Andrew-Brockman
CECAM-2015_ESR10_poster_Andrew-BrockmanAndrew Brockman
 
Bioinformatics Final Report
Bioinformatics Final ReportBioinformatics Final Report
Bioinformatics Final ReportShruthi Choudary
 
Bioinformatics Final Presentation
Bioinformatics Final PresentationBioinformatics Final Presentation
Bioinformatics Final PresentationShruthi Choudary
 
Pre-clinical drug prioritization via prognosis-guided genetic interaction net...
Pre-clinical drug prioritization via prognosis-guided genetic interaction net...Pre-clinical drug prioritization via prognosis-guided genetic interaction net...
Pre-clinical drug prioritization via prognosis-guided genetic interaction net...laserxiong
 
Systems Biology Approaches to Cancer
Systems Biology Approaches to CancerSystems Biology Approaches to Cancer
Systems Biology Approaches to CancerRaunak Shrestha
 
Biological models of security for virus propagation in computer networks
Biological models of security for virus propagation in computer networksBiological models of security for virus propagation in computer networks
Biological models of security for virus propagation in computer networksUltraUploader
 
Update on the Druggable Proteome
Update on the Druggable ProteomeUpdate on the Druggable Proteome
Update on the Druggable ProteomeChris Southan
 
INBIOMEDvision Workshop at MIE 2011. Victoria López
INBIOMEDvision Workshop at MIE 2011. Victoria LópezINBIOMEDvision Workshop at MIE 2011. Victoria López
INBIOMEDvision Workshop at MIE 2011. Victoria LópezINBIOMEDvision
 
2011-10-11 Open PHACTS at BioIT World Europe
2011-10-11 Open PHACTS at BioIT World Europe2011-10-11 Open PHACTS at BioIT World Europe
2011-10-11 Open PHACTS at BioIT World Europeopen_phacts
 
Pathway resources at the rat genome database
Pathway resources at the rat genome databasePathway resources at the rat genome database
Pathway resources at the rat genome databaseJennifer Smith
 
2018 05 24-waldron-itcr
2018 05 24-waldron-itcr2018 05 24-waldron-itcr
2018 05 24-waldron-itcrLevi Waldron
 

Ähnlich wie NetBioSIG2014-Talk by Yu Xia (20)

CECAM-2015_ESR10_poster_Andrew-Brockman
CECAM-2015_ESR10_poster_Andrew-BrockmanCECAM-2015_ESR10_poster_Andrew-Brockman
CECAM-2015_ESR10_poster_Andrew-Brockman
 
TBED-66-2517.pdf
TBED-66-2517.pdfTBED-66-2517.pdf
TBED-66-2517.pdf
 
Bioinformatics Final Report
Bioinformatics Final ReportBioinformatics Final Report
Bioinformatics Final Report
 
Bioinformatics Final Presentation
Bioinformatics Final PresentationBioinformatics Final Presentation
Bioinformatics Final Presentation
 
The Role of Epstein Barr Virsus in Oncogenesis
The Role of Epstein Barr Virsus in OncogenesisThe Role of Epstein Barr Virsus in Oncogenesis
The Role of Epstein Barr Virsus in Oncogenesis
 
Pre-clinical drug prioritization via prognosis-guided genetic interaction net...
Pre-clinical drug prioritization via prognosis-guided genetic interaction net...Pre-clinical drug prioritization via prognosis-guided genetic interaction net...
Pre-clinical drug prioritization via prognosis-guided genetic interaction net...
 
Mi rvar
Mi rvarMi rvar
Mi rvar
 
miRvar
miRvarmiRvar
miRvar
 
The effects of circumcision on the penis microbiome
The effects of circumcision on the penis microbiomeThe effects of circumcision on the penis microbiome
The effects of circumcision on the penis microbiome
 
PhD midterm report
PhD midterm reportPhD midterm report
PhD midterm report
 
Systems Biology Approaches to Cancer
Systems Biology Approaches to CancerSystems Biology Approaches to Cancer
Systems Biology Approaches to Cancer
 
fnmol-09-00070
fnmol-09-00070fnmol-09-00070
fnmol-09-00070
 
presentation
presentationpresentation
presentation
 
Biological models of security for virus propagation in computer networks
Biological models of security for virus propagation in computer networksBiological models of security for virus propagation in computer networks
Biological models of security for virus propagation in computer networks
 
Update on the Druggable Proteome
Update on the Druggable ProteomeUpdate on the Druggable Proteome
Update on the Druggable Proteome
 
INBIOMEDvision Workshop at MIE 2011. Victoria López
INBIOMEDvision Workshop at MIE 2011. Victoria LópezINBIOMEDvision Workshop at MIE 2011. Victoria López
INBIOMEDvision Workshop at MIE 2011. Victoria López
 
LOKITHESWARI VIPPALA
LOKITHESWARI VIPPALALOKITHESWARI VIPPALA
LOKITHESWARI VIPPALA
 
2011-10-11 Open PHACTS at BioIT World Europe
2011-10-11 Open PHACTS at BioIT World Europe2011-10-11 Open PHACTS at BioIT World Europe
2011-10-11 Open PHACTS at BioIT World Europe
 
Pathway resources at the rat genome database
Pathway resources at the rat genome databasePathway resources at the rat genome database
Pathway resources at the rat genome database
 
2018 05 24-waldron-itcr
2018 05 24-waldron-itcr2018 05 24-waldron-itcr
2018 05 24-waldron-itcr
 

Mehr von Alexander Pico

NRNB Annual Report 2018
NRNB Annual Report 2018NRNB Annual Report 2018
NRNB Annual Report 2018Alexander Pico
 
NRNB Annual Report 2017
NRNB Annual Report 2017NRNB Annual Report 2017
NRNB Annual Report 2017Alexander Pico
 
2016 Cytoscape 3.3 Tutorial
2016 Cytoscape 3.3 Tutorial2016 Cytoscape 3.3 Tutorial
2016 Cytoscape 3.3 TutorialAlexander Pico
 
NRNB Annual Report 2016: Overall
NRNB Annual Report 2016: OverallNRNB Annual Report 2016: Overall
NRNB Annual Report 2016: OverallAlexander Pico
 
Technology R&D Theme 3: Multi-scale Network Representations
Technology R&D Theme 3: Multi-scale Network RepresentationsTechnology R&D Theme 3: Multi-scale Network Representations
Technology R&D Theme 3: Multi-scale Network RepresentationsAlexander Pico
 
Technology R&D Theme 2: From Descriptive to Predictive Networks
Technology R&D Theme 2: From Descriptive to Predictive NetworksTechnology R&D Theme 2: From Descriptive to Predictive Networks
Technology R&D Theme 2: From Descriptive to Predictive NetworksAlexander Pico
 
Technology R&D Theme 1: Differential Networks
Technology R&D Theme 1: Differential NetworksTechnology R&D Theme 1: Differential Networks
Technology R&D Theme 1: Differential NetworksAlexander Pico
 
Overall Vision for NRNB: 2015-2020
Overall Vision for NRNB: 2015-2020Overall Vision for NRNB: 2015-2020
Overall Vision for NRNB: 2015-2020Alexander Pico
 
2015 Cytoscape 3.2 Tutorial
2015 Cytoscape 3.2 Tutorial2015 Cytoscape 3.2 Tutorial
2015 Cytoscape 3.2 TutorialAlexander Pico
 
NetBioSIG2014-FlashJournalClub by Frank Kramer
NetBioSIG2014-FlashJournalClub by Frank KramerNetBioSIG2014-FlashJournalClub by Frank Kramer
NetBioSIG2014-FlashJournalClub by Frank KramerAlexander Pico
 
NetBioSIG2014-Talk by Salvatore Loguercio
NetBioSIG2014-Talk by Salvatore LoguercioNetBioSIG2014-Talk by Salvatore Loguercio
NetBioSIG2014-Talk by Salvatore LoguercioAlexander Pico
 
NetBioSIG2014-Intro by Alex Pico
NetBioSIG2014-Intro by Alex PicoNetBioSIG2014-Intro by Alex Pico
NetBioSIG2014-Intro by Alex PicoAlexander Pico
 
NetBioSIG2014-Talk by Traver Hart
NetBioSIG2014-Talk by Traver HartNetBioSIG2014-Talk by Traver Hart
NetBioSIG2014-Talk by Traver HartAlexander Pico
 
NetBioSIG2014-Talk by Tijana Milenkovic
NetBioSIG2014-Talk by Tijana MilenkovicNetBioSIG2014-Talk by Tijana Milenkovic
NetBioSIG2014-Talk by Tijana MilenkovicAlexander Pico
 
NetBioSIG2014-Talk by Ashwini Patil
NetBioSIG2014-Talk by Ashwini PatilNetBioSIG2014-Talk by Ashwini Patil
NetBioSIG2014-Talk by Ashwini PatilAlexander Pico
 
NetBioSIG2014-Talk by David Amar
NetBioSIG2014-Talk by David AmarNetBioSIG2014-Talk by David Amar
NetBioSIG2014-Talk by David AmarAlexander Pico
 
NetBioSIG2014-Talk by Hyunghoon Cho
NetBioSIG2014-Talk by Hyunghoon ChoNetBioSIG2014-Talk by Hyunghoon Cho
NetBioSIG2014-Talk by Hyunghoon ChoAlexander Pico
 
NetBioSIG2014-Talk by Gerald Quon
NetBioSIG2014-Talk by Gerald QuonNetBioSIG2014-Talk by Gerald Quon
NetBioSIG2014-Talk by Gerald QuonAlexander Pico
 
Visualization and Analysis of Dynamic Networks
Visualization and Analysis of Dynamic Networks Visualization and Analysis of Dynamic Networks
Visualization and Analysis of Dynamic Networks Alexander Pico
 
NRNB Annual Report 2013
NRNB Annual Report 2013NRNB Annual Report 2013
NRNB Annual Report 2013Alexander Pico
 

Mehr von Alexander Pico (20)

NRNB Annual Report 2018
NRNB Annual Report 2018NRNB Annual Report 2018
NRNB Annual Report 2018
 
NRNB Annual Report 2017
NRNB Annual Report 2017NRNB Annual Report 2017
NRNB Annual Report 2017
 
2016 Cytoscape 3.3 Tutorial
2016 Cytoscape 3.3 Tutorial2016 Cytoscape 3.3 Tutorial
2016 Cytoscape 3.3 Tutorial
 
NRNB Annual Report 2016: Overall
NRNB Annual Report 2016: OverallNRNB Annual Report 2016: Overall
NRNB Annual Report 2016: Overall
 
Technology R&D Theme 3: Multi-scale Network Representations
Technology R&D Theme 3: Multi-scale Network RepresentationsTechnology R&D Theme 3: Multi-scale Network Representations
Technology R&D Theme 3: Multi-scale Network Representations
 
Technology R&D Theme 2: From Descriptive to Predictive Networks
Technology R&D Theme 2: From Descriptive to Predictive NetworksTechnology R&D Theme 2: From Descriptive to Predictive Networks
Technology R&D Theme 2: From Descriptive to Predictive Networks
 
Technology R&D Theme 1: Differential Networks
Technology R&D Theme 1: Differential NetworksTechnology R&D Theme 1: Differential Networks
Technology R&D Theme 1: Differential Networks
 
Overall Vision for NRNB: 2015-2020
Overall Vision for NRNB: 2015-2020Overall Vision for NRNB: 2015-2020
Overall Vision for NRNB: 2015-2020
 
2015 Cytoscape 3.2 Tutorial
2015 Cytoscape 3.2 Tutorial2015 Cytoscape 3.2 Tutorial
2015 Cytoscape 3.2 Tutorial
 
NetBioSIG2014-FlashJournalClub by Frank Kramer
NetBioSIG2014-FlashJournalClub by Frank KramerNetBioSIG2014-FlashJournalClub by Frank Kramer
NetBioSIG2014-FlashJournalClub by Frank Kramer
 
NetBioSIG2014-Talk by Salvatore Loguercio
NetBioSIG2014-Talk by Salvatore LoguercioNetBioSIG2014-Talk by Salvatore Loguercio
NetBioSIG2014-Talk by Salvatore Loguercio
 
NetBioSIG2014-Intro by Alex Pico
NetBioSIG2014-Intro by Alex PicoNetBioSIG2014-Intro by Alex Pico
NetBioSIG2014-Intro by Alex Pico
 
NetBioSIG2014-Talk by Traver Hart
NetBioSIG2014-Talk by Traver HartNetBioSIG2014-Talk by Traver Hart
NetBioSIG2014-Talk by Traver Hart
 
NetBioSIG2014-Talk by Tijana Milenkovic
NetBioSIG2014-Talk by Tijana MilenkovicNetBioSIG2014-Talk by Tijana Milenkovic
NetBioSIG2014-Talk by Tijana Milenkovic
 
NetBioSIG2014-Talk by Ashwini Patil
NetBioSIG2014-Talk by Ashwini PatilNetBioSIG2014-Talk by Ashwini Patil
NetBioSIG2014-Talk by Ashwini Patil
 
NetBioSIG2014-Talk by David Amar
NetBioSIG2014-Talk by David AmarNetBioSIG2014-Talk by David Amar
NetBioSIG2014-Talk by David Amar
 
NetBioSIG2014-Talk by Hyunghoon Cho
NetBioSIG2014-Talk by Hyunghoon ChoNetBioSIG2014-Talk by Hyunghoon Cho
NetBioSIG2014-Talk by Hyunghoon Cho
 
NetBioSIG2014-Talk by Gerald Quon
NetBioSIG2014-Talk by Gerald QuonNetBioSIG2014-Talk by Gerald Quon
NetBioSIG2014-Talk by Gerald Quon
 
Visualization and Analysis of Dynamic Networks
Visualization and Analysis of Dynamic Networks Visualization and Analysis of Dynamic Networks
Visualization and Analysis of Dynamic Networks
 
NRNB Annual Report 2013
NRNB Annual Report 2013NRNB Annual Report 2013
NRNB Annual Report 2013
 

Kürzlich hochgeladen

Zoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdfZoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdfSumit Kumar yadav
 
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...jana861314
 
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdfPests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdfPirithiRaju
 
VIRUSES structure and classification ppt by Dr.Prince C P
VIRUSES structure and classification ppt by Dr.Prince C PVIRUSES structure and classification ppt by Dr.Prince C P
VIRUSES structure and classification ppt by Dr.Prince C PPRINCE C P
 
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCRStunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCRDelhi Call girls
 
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls AgencyHire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls AgencySheetal Arora
 
GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)Areesha Ahmad
 
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...Lokesh Kothari
 
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxSOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxkessiyaTpeter
 
Disentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTDisentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTSérgio Sacani
 
Pests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdfPests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdfPirithiRaju
 
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptxUnlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptxanandsmhk
 
Hubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroidsHubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroidsSérgio Sacani
 
Botany krishna series 2nd semester Only Mcq type questions
Botany krishna series 2nd semester Only Mcq type questionsBotany krishna series 2nd semester Only Mcq type questions
Botany krishna series 2nd semester Only Mcq type questionsSumit Kumar yadav
 
DIFFERENCE IN BACK CROSS AND TEST CROSS
DIFFERENCE IN  BACK CROSS AND TEST CROSSDIFFERENCE IN  BACK CROSS AND TEST CROSS
DIFFERENCE IN BACK CROSS AND TEST CROSSLeenakshiTyagi
 
Nanoparticles synthesis and characterization​ ​
Nanoparticles synthesis and characterization​  ​Nanoparticles synthesis and characterization​  ​
Nanoparticles synthesis and characterization​ ​kaibalyasahoo82800
 
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...Sérgio Sacani
 
GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)Areesha Ahmad
 
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral AnalysisRaman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral AnalysisDiwakar Mishra
 

Kürzlich hochgeladen (20)

Zoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdfZoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdf
 
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
 
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdfPests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
 
VIRUSES structure and classification ppt by Dr.Prince C P
VIRUSES structure and classification ppt by Dr.Prince C PVIRUSES structure and classification ppt by Dr.Prince C P
VIRUSES structure and classification ppt by Dr.Prince C P
 
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCRStunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
 
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls AgencyHire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
 
GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)
 
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
 
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxSOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
 
Disentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTDisentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOST
 
Pests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdfPests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdf
 
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptxUnlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
 
Hubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroidsHubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroids
 
Botany krishna series 2nd semester Only Mcq type questions
Botany krishna series 2nd semester Only Mcq type questionsBotany krishna series 2nd semester Only Mcq type questions
Botany krishna series 2nd semester Only Mcq type questions
 
DIFFERENCE IN BACK CROSS AND TEST CROSS
DIFFERENCE IN  BACK CROSS AND TEST CROSSDIFFERENCE IN  BACK CROSS AND TEST CROSS
DIFFERENCE IN BACK CROSS AND TEST CROSS
 
Nanoparticles synthesis and characterization​ ​
Nanoparticles synthesis and characterization​  ​Nanoparticles synthesis and characterization​  ​
Nanoparticles synthesis and characterization​ ​
 
The Philosophy of Science
The Philosophy of ScienceThe Philosophy of Science
The Philosophy of Science
 
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
 
GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)
 
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral AnalysisRaman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
 

NetBioSIG2014-Talk by Yu Xia

  • 1. Signatures  of  pleiotropy,  economy  and     convergent  evolu6on  in  a  domain-­‐resolved  map  of   human-­‐virus  protein-­‐protein  interac6on  networks   Yu  (Brandon)  Xia   Department  of  Bioengineering   McGill  University   Eric  Franzosa  Sara  Garamszegi  
  • 2. Between-­‐species  systems  biology   H H H H H H H H H V H Human Protein Virus Protein Sequence Homology Known Interaction Stable Complex V H H H HV H H H V (a) (b) (c) V   V   V   V   •  Within-­‐human  PPI  network:  endogenous   •  Human-­‐virus  PPI  network:  exogenous   2  [Uetz,  2006;  Calderwood,  2007;  Dyer,  2008;  etc.]  
  • 3. Between-­‐species  structural  systems  biology   H H H H H H H H H V H Human Protein Virus Protein Sequence Homology Known Interaction Stable Complex V H H H HV H H H V (a) (b) (c) V   V   V   V   •  Within-­‐human  PPI  network:  endogenous   •  Human-­‐virus  PPI  network:  exogenous   3   Template-­‐based  modeling   [Franzosa  and  Xia,  PNAS  2011]  
  • 4. Within-­‐human  and  human-­‐virus   structural  interac6on  networks   53  exogenous  interac6ons   3,039  endogenous  interac6ons   4   [Franzosa  and  Xia,  PNAS  2011]  
  • 5. Virus  proteins  tend  to  bind  to  exis6ng   endogenous  interfaces   [Franzosa  and  Xia,  PNAS  2011]   5   H   H   V  
  • 6. Proper6es  of  mimicked  interfaces   •  Endogenous  interfaces  mimicked  by  virus  proteins  tend  to  involve  regulatory   ac6vi6es,  transient  binding,  and  parWcipate  in  mul6ple  endogenous   interac6ons   •  Viruses  target  high-­‐level,  regulatory  components  of  the  cellular  circuitry   6   H   H   H   H   H   V   H   H   V   H   H   H   V   H   [Franzosa  and  Xia,  PNAS  2011]  
  • 7. Viral  binding  accelerates  endogenous   interface  evolu6on   [Franzosa  and  Xia,  PNAS  2011]   7  
  • 8. 8   Two  types  of  protein-­‐protein  interac6ons   Domain-­‐domain  interac6on    Domain-­‐mo6f  interac6on  
  • 9. 9   Case  studies   [Davey,  Travé,  Gibson,  Trends  Biochem  Sci  2011]  
  • 10. 10   A  domain-­‐resolved  map  of  human-­‐human  and   human-­‐virus  protein-­‐protein  interac6on  networks   [Garamszegi,  Franzosa,  Xia,  PLoS  Pathogens  2013]  
  • 11. 11   Domain-­‐resolved  interac6ons  are  of  high  quality   [Garamszegi,  Franzosa,  Xia,  PLoS  Pathogens  2013]  
  • 12. 12   Binding  site  mimicry  evolves  differently  in  virus  and   human  proteins   [Garamszegi,  Franzosa,  Xia,  PLoS  Pathogens  2013]  
  • 13. 13   Viral  proteins  tend  to  target  human  proteins   containing  linear  mo6f-­‐binding  (LMB)  domains     [Garamszegi,  Franzosa,  Xia,  PLoS  Pathogens  2013]  
  • 14. 14   Viruses  tend  to  target  human  proteins  containing   LMB  domains,  independent  of  host  protein  degree     [Garamszegi,  Franzosa,  Xia,  PLoS  Pathogens  2013]  
  • 15. 15   Viral  proteins  have  a  higher  frac6on  of  domain-­‐mo6f   interac6ons  than  human  proteins   [Garamszegi,  Franzosa,  Xia,  PLoS  Pathogens  2013]  
  • 16. 16   Viral  proteins  target  LMB  domains  at   greater  density  than  human  proteins   [Garamszegi,  Franzosa,  Xia,  PLoS  Pathogens  2013]   Our  domain-­‐ resolved  network   CCSB  interactome   network  
  • 17. Three  design  principles  of  the  domain-­‐ resolved  human-­‐virus  protein-­‐protein   interac6on  network   •  Human-­‐virus  PPI  network  is  antagonis6c   •  Human-­‐virus  PPI  network  is  economical   •  Human-­‐virus  PPI  network  is  strongly  shaped  by  convergent   evolu6on   •  Most  of  these  signatures  are  only  apparent  at  high  resoluWon   17  
  • 18. Acknowledgments   •  Eric  Franzosa   •  Chetanya  Pandya     •  KonstanWn  Voevodski   •  Jignesh  Parikh   •  Han  Hu     •  Yong  Wang   •  Jasmin  Coulombe-­‐HunWngton   •  Christopher  Jacobs   •  Bolan  Linghu     •  Sara  Garamszegi   •  Alexandra  Dumitriu   •  Ran  Xue   •  Qingyu  Gao   •  Sachit  Bakshi   •  Kevin  Lynagh   •  Javier  Pérez-­‐Florido         18   Funding