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Perturbations and phenotypes - an introduction - Network Biology - lecture 1
 
Today’s lecture ,[object Object],[object Object],[object Object],[object Object],[object Object]
How to understand a complex system? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Breaking the system DNA mRNA Protein RNAi Knockout Drugs Small molecules Stress SNPs natural variation
 
 
Phenotype:  viability  versus cell death ,[object Object],[object Object],[object Object],Interpretation: an  essential   gene for the organism WT B- A-
Science 1999
Evidence for network redundancy Fitness of single mutant (relative to wild-type cell) Fitness of yeast deletion mutants  (~6000 different gene-level perturbations) 1800 1600 1400 1200 1000 800 600 400 200 0 Winzeler EA  et al Science 1999 { ~80% can be independently deleted with no severe fitness defect!
Nature Reviews Genetics 2008
RNAi screens Boutros and  Ahringer (2008)
Phenotype:  pathway activity Cell membrane Receptors A- B- C-
Phenotype:  organism morphology Boutros and Ahringer, Nat Rev 2008
Phenotype:  cell morphology Boutros and Ahringer, Nat Rev 2008
Phenotype:  global gene expression A- B- C- All the genes in the genome Transcriptional phenotypes by microarrays A- B- C- … … …
High-dimensional phenotypes by microscopy or molecular profiling Low-dimensional phenotypes A- Time Size
Phenotyping produces partslists Keith Haring,  Untitled , 1986 Urs Wehrli,  Tidying Up Art , 2003
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],A  challenge  for computation and statistics
 
Boutros, Bras, Huber 2006
Boutros, Bras, Huber 2006
Boutros and Ahringer 2008
Challenges ,[object Object],[object Object],[object Object],[object Object]
Perturbations can have  off-target effects www.dharmacon.com: Tech Report:  Off-target effects: Disturbing the silence of RNAi Echeverri et al,  Nature Methods 2006
A single perturbation  may not be 100% effective Boutros and  Ahringer (2008) Effectiveness depends eg on degree of sequence similarity ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Compensatory mechanisms in the cell  may mask phenotypes ,[object Object]
Phenotypes give only limited information of cellular networks
.. even molecular phenotypes Model DNA mRNA Protein A B C D E
Example on real data ,[object Object],[object Object],[object Object]
Today’s lecture ,[object Object],[object Object],[object Object],[object Object],[object Object]
Three take-home messages ,[object Object],[object Object],[object Object]
Overview of rest of lectures ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Network Biology - lecture 1 Questions ?

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Network Biology Lent 2010 - lecture 1