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Graham Cromar and John Parkinson

Assembling the interactome of human extracellular matrix to understand its role in health and disease. Graham Cromar and John Parkinson Department of Molecular and Medical Genetics, University of Toronto Program in Molecular Structure and Function, Hospital for Sick Children, Toronto.

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Graham Cromar and John Parkinson

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  1. Assembling the interactome of human extracellular matrix to understand its role in health and disease Graham Cromar and John Parkinson Department of Molecular and Medical Genetics, University of Toronto Program in Molecular Structure and Function, Hospital for Sick Children, Toronto

  2. Biological Networks Goh et al. 2007. PNAS The human disease network.

  3. Aims How is the Extracellular Matrix organized? • List of components? • How are they organized? • What are the important functional units? Understand elastin within the context of surrounding matrix • What does it interact with? • How central is elastin to this network? Gain insight into how the ECM network evolved • Did important functional units always exit? • Did some proteins arise in association with specific adaptations? • What did the network look like when elastin emerged?

  4. GO Cellular Component = ECM Biological Process Molecular Function Gene Ontology Approach Protein Databases Uniprot RefSeq Ensembl Filter Interaction Databases DIP BioGRID Database of ECM proteins IntAct Search Mint

  5. Results • Initial map consisting of 361 nodes (547 edges). • A considerable number (40%) of ECM proteins appear to have no known interactions. • Many human ECM proteins are incompletely annotated in GO. • Rat proteins are well-annotated in comparison to their human orthologues. ELN NID2 FBN2 FBN1 FBLN2 FBLN1 LOX BGN DCN MAFP FCN1 PRTN3 FKBP10 LYZ SPINK1 ELA2 ASS GALS3

  6. Expand the number of GO terms used Use annotations from Rat/Mouse orthologues to extend human network. Look at other interaction databases to complement this data. Future Work Supported by: Restracomp

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