Gary bader fged_toronto_2012


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Pathway analysis for genomics

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Gary bader fged_toronto_2012

  1. 1. Pathway  analysis  for  genomics   Gary  Bader   Oct.23.2012  –  FGED  Toronto  
  2. 2. Microtubule Cytoskeleton Cell Projection & Cell Motility Cell Proliferation Glycosylation Adhesion Regulation of GTPase Kinase Activity/Regulation CNS Development Intellectual Disability Autism GTPase/Ras Signaling Regulation of cell proliferation Positive regulation of cell proliferation Tyrosin kinase Vasculature develepment Palate develepment Organ Morphogenesis Behavior Heart develepment RHO Ras Membrane Kinase regulation Cell Motility (stricter cluster) Centrosome Nucleolus Cell cycle Regulation of hormone levels Aminoacid derivative / amine metabolism Synaptic vescicle maturation Reelin pathway LIS1 in neuronal migration and development Negative regulation of cell cycle cKIT pathwaymTor pathway Zn finger domain Carboxyl esterase domain Ras signaling GTPase regulator Neuron migration Cell Motility (stricter cluster) Cell morphogenesis Cell projection organization CNS development Brain development Neurite development CNS neuron differentiation Axonogenesis Projection neuron axonogenesis Cerebral cortex cell migration SMC flexible hinge domain Urea and amine group metabolism MHC-I Zoom of CNS-Development ID ID ASDASD Both 0% 12.5% Enriched in deletions FDR Known disease genes Enriched only in disease genes Node type (gene-set) Edge type (gene-set overlap) From disease genes to enriched gene-sets Between gene-sets enriched in deletions Between sets enriched in deletions and in disease genes or between disease sets only Pinto  et  al.  FuncBonal  impact  of  global  rare  copy  number  variaBon  in  auBsm   spectrum  disorders.  Nature.  2010  Jun  9.  
  3. 3. CorrelaBon  to  CausaBon   •  GWAS:  find  geneBc  markers  correlated  with   disease  –  powerful  approach,  but:   – genomics  reduces  staBsBcal  power  (>mulBple   tesBng  correcBon  with  >SNPs)   – rare  variants  =  more  samples   •  Associate  pathways  to  increase  power   – Fewer  pathways,  organize  many  rare  variants   (damaging  the  system  causes  the  disease)   •  Use  pathway  knowledge  to  idenBfy  potenBal   disease  causes  
  4. 4. The Systems Biology Pyramid Cary, Bader, Sander, FEBS Letters 579 (2005) 1815-20 Chris Sander, MSKCC Cytoscape cPath2 Pathway Commons BioPAX
  5. 5. hWp://   Vuk  Pavlovic   Sylva  Donaldson   >320  Pathway   Databases!   • Varied  formats,  representa;on,  coverage   • Pathway  data  extremely  difficult  to  combine   and  use  
  6. 6. BioPAX  Pathway  Language   •  Represent:   – Metabolic  pathways   – Signaling  pathways   – Protein-­‐protein,  molecular  interacBons   – Gene  regulatory  pathways   – GeneBc  interacBons   •  Community  effort:  pathway  databases  distribute   pathway  informaBon  in  standard  format  
  7. 7. Emek Demir BioCarta BioPAX
  8. 8. Aim: Convenient Access to Pathway Information Facilitate  creaBon  and  communicaBon  of  pathway  data   Aggregate  pathway  data  in  the  public  domain   Provide  easy  access  for  pathway  analysis   Long  term:  Converge   to  integrated  cell  map   hCp://  
  9. 9. Pathway  Commons:  cPath2   •  hWp://   Emek Demir, Igor Rodchenkov, Chris Sander Ozgun Babur, Arman Aksoy, Onur Sumer, Ethan Cerami, Ben Gross
  10. 10. Network   visualizaBon   and  analysis   UCSD,  ISB,  Agilent,   MSKCC,  Pasteur,  UCSF,   Unilever,  UToronto,  U   Texas   hWp://   Pathway  comparison   Literature  mining   Gene  Ontology  analysis   AcBve  modules   Complex  detecBon   Network  moBf  search  
  11. 11. Cytoscape  3   •  Complete  re-­‐architecture:  OSGi  –  everything  is  an  app   •  Enables  future  features:   –  More  stable  and  powerful  APIs   –  ScripBng,  macros,  recordable  history,  beWer  undo/redo   –  Command  line  mode,  good  for  use  on  compute  clusters   –  InteracBve  control  from  other  scripBng  languages  e.g.  R   •  Fixing  bugs  and  porBng  plugins   •  3.0  beta  now  available   –  Mirror  funcBonality  in  2.8   –  Encourage  plugin  to  app  porBng   –  hWp://  
  12. 12. 14   hWp://   Chris;an  Tannus-­‐Lopes,  Max  Franz,  Yue  Dong    
  13. 13. Compound  Nodes   Onur Sumer Ugur Dogrusoz Bilkent, Ankara hCp://  
  14. 14. Cytoscape.js:  HTML5  –  iPad  
  15. 15. Gene Function Prediction hWp://   Quaid Morris (Donnelly), Sara Mostafavi Rashad Badrawi, Ovi Comes, Sylva Donaldson, Max Franz, Christian Lopes, Farzana Kazi, Jason Montojo, Harold Rodriguez, Khalid Zuberi •   Guilt-­‐by-­‐associaBon  principle   •   Biological  networks  are  combined  intelligently  to   opBmize  predicBon  accuracy   •   Algorithm  is  more  fast  and  accurate  than  its   peers   Mostafavi  S  et  al.  Genome  Biol.  2008;9  Suppl  1:S4   Warde-­‐Farley  D  et  al.  Nucleic  Acids  Res.  2010  Jul; 8:W214-­‐20.  
  16. 16. The  Factoid  Project   •  Publishing  in  science   –  Highly  inefficient   –  Outdated  technology,  difficult  to  search  and  compute   •  hWp://   –  Winner:  hWp://   •  Pathway  and  network  informaBon  database   curaBon   –  Highly  inefficient   •  The  factoid  project   Max  Franz,  Igor  Rodchenkov,  Ozgun  Babur,  Emek  Demir,  Chris  Sander  
  17. 17. Pathway  and  Network  Analysis   1.  Gene  set:  pathway   enrichment  analysis   2.  Network:  network  regions   (modules),  regulaBon   3.  Process  model:  classical   pathways   4.  SimulaBon  model:  detailed   models   Mechanistic Understanding GenomeCoverage Anduse
  18. 18. Increase Coverage and Depth Cellular  Process  Representa;on   •  Gene  set   •  Network   •  Process  model   •  SimulaBon  model   •  Analysis  methods  need  to   keep  up   Coverage Depth Depth Data and analysis methods Present Future Km=3.0×10−4
  19. 19. Acknowledgements   Bader  Lab   Domain  InteracBon  Team   Chris  Tan   Shirley  Hui   Shobhit  Jain   Brian  Law   Jüri  Reimand     Former:   David  Gfeller   Xiaojian  Shao   Funding   hWp:// Quaid Morris (Donnelly) Rashad Badrawi, Ovi Comes, Sylva Donaldson, Christian Lopes, Farzana Kazi, Jason Montojo, Sara Mostafavi, Harold Rodriguez, Khalid Zuberi Gene;c  Intx,  Pathways:   Anastasia  Baryshnikova   Iain  Wallace   Magali  Michaut   Ron  Ammar   Daniele  Merico   Ruth  Isserlin   Vuk  Pavlovic   Igor  Rodchenkov   Pathway  Commons   Chris  Sander   Ethan  Cerami   Ben  Gross   Emek  Demir   Igor  Rodchenkov   Nadia  Anwar   Ozgun  Babur