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Talk: Interactome networks and human disease (39 min)

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X Navigable Slide Index
  1. Introduction
  2. Mechanisms of genotype-phenotype relations
  3. Linear genotype-phenotype relationships
  4. One gene - one enzyme - one function
  5. OCA2: a single gene for eye color?
  6. Eye color: variety of phenotypes
  7. A complex system underlies eye color
  8. Complex genotype-to-phenotype relationships
  9. Genetic control of biochemical reactions
  10. Map of complexity science
  11. Positive and negative feedback loops
  12. A theoretical framework for complex systems
  13. Cells as complex wiring diagrams of interaction (1)
  14. Cells as complex wiring diagrams of interaction (2)
  15. Approaching wiring diagrams at cellular scale
  16. Interactome networks vs. dynamic systems
  17. Biophysical interactome networks
  18. Biochemical interactome networks
  19. Functional interactome networks
  20. A high-school social network map
  21. Properties of interactome networks (1)
  22. Properties of interactome networks (2)
  23. From genome to interactome (1)
  24. From genome to interactome (2)
  25. From genome to interactome (3)
  26. Systematic interactome mapping
  27. Examples of interactome maps
  28. Strategies to map interactome networks (1)
  29. Strategies to map interactome networks (2)
  30. Strategies to map interactome networks (3)
  31. Interactome networks exhibit particular properties
  32. Global organization properties appear conserved
  33. The properties relate to biological attributes
  34. Hubs relate to cellular robustness
  35. How different networks relate to each other
  36. Integrating different types of networks (1)
  37. A high-school social network map - ethnicity
  38. Integrating different types of networks (2)
  39. Evidence for dynamically organized modularity
  40. Physical interactions and synthetic lethality
  41. Perturbations of networks and human disease
  42. Locus heterogeneity
  43. The human disease network
  44. Overlap between PPI and gene disease networks
  45. Connecting the dots: the genomic revolution (1)
  46. Connecting the dots: the genomic revolution (2)
  47. Allelic heterogeneity
  48. Edgetic perturbation models of human disorders
  49. Protein-protein interaction perturbations
  50. Human disease edgotype landscape
  51. Edgotyping distinguishes disease mutations
  52. 21st century genetics
  53. Why systematic maps are important
  54. Interactome network from literature curation
  55. Vast uncharted interactome territory in literature
  56. Generation of newest interactome dataset (1)
  57. Generation of newest interactome dataset (2)
  58. Literature versus systematic map
  59. Systematic map covers uncharted territories
  60. Important proteins in uncharted interactome
  61. Interactome networks and biological functions
  62. Human reference interactome by 2020
  63. End
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DETAILED SLIDE INDEX

  1. 1. Introduction
  2. 2. Mechanisms of genotype-phenotype relations
  3. 3. Linear genotype-phenotype relationships
  4. 4. One gene - one enzyme - one function
  5. 5. OCA2: a single gene for eye color?
  6. 6. Eye color: variety of phenotypes
  7. 7. A complex system underlies eye color
  8. 8. Complex genotype-to-phenotype relationships
  9. 9. Genetic control of biochemical reactions
  10. 10. Map of complexity science
  11. 11. Positive and negative feedback loops
  12. 12. A theoretical framework for complex systems
  13. 13. Cells as complex wiring diagrams of interaction (1)
  14. 14. Cells as complex wiring diagrams of interaction (2)
  15. 15. Approaching wiring diagrams at cellular scale
  16. 16. Interactome networks vs. dynamic systems
  17. 17. Biophysical interactome networks
  18. 18. Biochemical interactome networks
  19. 19. Functional interactome networks
  20. 20. A high-school social network map
  21. 21. Properties of interactome networks (1)
  22. 22. Properties of interactome networks (2)
  23. 23. From genome to interactome (1)
  24. 24. From genome to interactome (2)
  25. 25. From genome to interactome (3)
  26. 26. Systematic interactome mapping
  27. 27. Examples of interactome maps
  28. 28. Strategies to map interactome networks (1)
  29. 29. Strategies to map interactome networks (2)
  30. 30. Strategies to map interactome networks (3)
  31. 31. Interactome networks exhibit particular properties
  32. 32. Global organization properties appear conserved
  33. 33. The properties relate to biological attributes
  34. 34. Hubs relate to cellular robustness
  35. 35. How different networks relate to each other
  36. 36. Integrating different types of networks (1)
  37. 37. A high-school social network map - ethnicity
  38. 38. Integrating different types of networks (2)
  39. 39. Evidence for dynamically organized modularity
  40. 40. Physical interactions and synthetic lethality
  41. 41. Perturbations of networks and human disease
  42. 42. Locus heterogeneity
  43. 43. The human disease network
  44. 44. Overlap between PPI and gene disease networks
  45. 45. Connecting the dots: the genomic revolution (1)
  46. 46. Connecting the dots: the genomic revolution (2)
  47. 47. Allelic heterogeneity
  48. 48. Edgetic perturbation models of human disorders
  49. 49. Protein-protein interaction perturbations
  50. 50. Human disease edgotype landscape
  51. 51. Edgotyping distinguishes disease mutations
  52. 52. 21st century genetics
  53. 53. Why systematic maps are important
  54. 54. Interactome network from literature curation
  55. 55. Vast uncharted interactome territory in literature
  56. 56. Generation of newest interactome dataset (1)
  57. 57. Generation of newest interactome dataset (2)
  58. 58. Literature versus systematic map
  59. 59. Systematic map covers uncharted territories
  60. 60. Important proteins in uncharted interactome
  61. 61. Interactome networks and biological functions
  62. 62. Human reference interactome by 2020
  63. 63. End

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TALK'S CITATION

Vidal, M. (2014), "Interactome networks and human disease", in Kitano, H. (ed.), Systems Biology, The Biomedical & Life Sciences Collection, Henry Stewart Talks Ltd, London (online at http://hstalks.com/?t=BL1893858)

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ABOUT THIS TALK

Speaker(s)

Prof. Marc Vidal Show Biography

SPEAKER BIOGRAPHY

Prof. Marc Vidal – Harvard Medical School, USA

During his PhD training performed at Northwestern University as a visiting graduate student, Dr. Vidal discovered two new yeast genes, SIN3 and RPD3, and demonstrated their function in global transcriptional regulation. Together with the subsequent biochemical identification of histone deacetylase as the product of RPD3, his work helped confirm the Allfrey hypothesis concerning the role of histone modifications in transcriptional regulation, which is widely considered one of the major events that sparked the field of modern epigenetics. Since the mid 90s, Dr. Vidal has focused his attention on understanding complex macromolecular networks and systems operating inside cells. Originally trained as a bioengineer and a geneticist, he pioneered the concept of “interactome network modeling”, which is based on interdisciplinary strategies developed with collaborators from the fields of physics, computer science, mathematics, genomics and human genetics. Working closely with an extended network of colleagues and collaborators, he has discovered fundamental systems properties in the human interactome network and is now starting to unravel fundamental relationships between cellular systems and human disease.

Publication Date

December, 2014

Topics Covered

Linear genotype-phenotype relations... more

TOPICS COVERED IN THIS TALK

  • Linear genotype-phenotype relations
  • Genotype and phenotype of eye color
  • Complex genotype-to-phenotype relationships
  • Cells as complex wiring diagrams of interaction
  • Types and properties of interactome networks
  • Network properties required for biological functions
  • Interactome mapping
  • Edgotype
  • Why systematic maps of interactome networks are important

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