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Printable Handouts
Navigable Slide Index
- Introduction
- Mechanisms of genotype-phenotype relations
- Linear genotype-phenotype relationships
- One gene - one enzyme - one function
- OCA2: a single gene for eye color?
- Eye color: variety of phenotypes
- A complex system underlies eye color
- Complex genotype-to-phenotype relationships
- Genetic control of biochemical reactions
- Map of complexity science
- Positive and negative feedback loops
- A theoretical framework for complex systems
- Cells as complex wiring diagrams of interaction (1)
- Cells as complex wiring diagrams of interaction (2)
- Approaching wiring diagrams at cellular scale
- Interactome networks vs. dynamic systems
- Biophysical interactome networks
- Biochemical interactome networks
- Functional interactome networks
- A high-school social network map
- Properties of interactome networks (1)
- Properties of interactome networks (2)
- From genome to interactome (1)
- From genome to interactome (2)
- From genome to interactome (3)
- Systematic interactome mapping
- Examples of interactome maps
- Strategies to map interactome networks (1)
- Strategies to map interactome networks (2)
- Strategies to map interactome networks (3)
- Interactome networks exhibit particular properties
- Global organization properties appear conserved
- The properties relate to biological attributes
- Hubs relate to cellular robustness
- How different networks relate to each other
- Integrating different types of networks (1)
- A high-school social network map - ethnicity
- Integrating different types of networks (2)
- Evidence for dynamically organized modularity
- Physical interactions and synthetic lethality
- Perturbations of networks and human disease
- Locus heterogeneity
- The human disease network
- Overlap between PPI and gene disease networks
- Connecting the dots: the genomic revolution (1)
- Connecting the dots: the genomic revolution (2)
- Allelic heterogeneity
- Edgetic perturbation models of human disorders
- Protein-protein interaction perturbations
- Human disease edgotype landscape
- Edgotyping distinguishes disease mutations
- 21st century genetics
- Why systematic maps are important
- Interactome network from literature curation
- Vast uncharted interactome territory in literature
- Generation of newest interactome dataset (1)
- Generation of newest interactome dataset (2)
- Literature versus systematic map
- Systematic map covers uncharted territories
- Important proteins in uncharted interactome
- Interactome networks and biological functions
- Human reference interactome by 2020
Topics Covered
- 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
Talk Citation
Vidal, M. (2014, December 2). Interactome networks and human disease [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved December 22, 2024, from https://doi.org/10.69645/KFGX4160.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Marc Vidal has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
A selection of talks on Biochemistry
Transcript
Please wait while the transcript is being prepared...
0:00
My name is Marc Vidal.
I'm the Founding
Director of the Center
for Cancer Systems Biology at
the Dana-Farber Cancer Institute
and Professor of Genetics
at Harvard Medical School.
This presentation will discuss the
notion of interactome networks.
We will explore how complex networks
of interacting macromolecules,
or so-called interactome
networks, might
underlie biological functions.
And we will summarize recent
findings that describe how
perturbations of
interactive networks
might relate to human disease.
0:39
One of the major goals of Biology
is to understand the mechanisms that
underlie genotype-phenotype
relationships.
How do Mendelian mutations
lead to Mendelian disorders?
How do functional variants located
in loci found in Genome-Wide
Association Studies, or
GWAS, lead to complex traits?
And how do cancer-associated
mutations lead to tumorigenesis?
These are questions
for which we still
lack mechanistic
answers in many cases.
1:14
One set of models to explain
genotype-phenotype relationships
is based on linear cause
and effects relationships,
according to which it is relatively
convenient to directly associate
a single genotypic variation to a
single phenotypic manifestation.
1:35
These models originated from a very
powerful and profound idea that
launched the molecular biology
revolution of the 20th century
from Mendel to the DNA double
helix which states that there are
relatively simple relationships
between genes, their products
and the function these
products mediate in the cell.
Particularly, Beadle and Tatum,
in their famous paper entitled,
"Genetic Control of Biochemical
Reactions in Neurospora"
stated that the
inability of neurospora
mutants to synthesize
vitamin B6 is apparently
differentiated by a single gene.
This simplifying concept literally
revolutionized our understanding
of genotype-phenotype relationships,
but does it apply to all situations?