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Florian Markowetz markowetzlab.org Joining the dots… Network analysis of gene perturbation data
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Functional Genomics: “What I cannot break, I do not understand.” Richard Feynman: “What I cannot create, I do not understand.” M. mycoides JCVI-syn1.0 How to understand a complex system?
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Breaking the system DNA mRNA Protein RNAi Knockout Drugs Small molecules Stress Somatic aberrations Pathway
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Today’s lecture What information do we get out of gene perturbations? –Phenotypes and their ‘richness’ How do we use this information to infer the internal architecture of a cell? –Guilt-by-association –Nested Effects Models
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Phenotype: viability versus cell death WT B- A-
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Phenotype: organism morphology Boutros and Ahringer, Nat Rev 2008
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Phenotype: cell morphology Boutros and Ahringer, Nat Rev 2008 RNAi control After gene silencing
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Phenotype: pathway activity Receptors A- B- C-
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Phenotype: global gene expression A- B- C- … … … A- B- C- All the genes in the genome Transcriptional phenotypes by microarrays
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Phenotyping produces partslists Keith Haring, Untitled, 1986 Urs Wehrli, Tidying Up Art, 2003
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A challenge for computation and statistics
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From phenotypes to clusters ABC A B Guilt by association
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From clusters to mechanisms ?? A B ABBAA B ABA B
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TF1TF2 Kinase TF1TF2 TF3 Nested effect models: subset relations Guilt-by-assocation: similarity Markowetz et al 2005, 2007 Tresch and Markowetz 2008 Nested Effects Models
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Inferred pathway A B C D E F G H 1.Set of candidate pathway genes 2.High-dimensional phenotypic profile, e.g. microarray INPUT OUTPUT Graph explaining the phenotypes
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Anatomy of the NF B pathway WeakStrong Phenotype Step 1 Step 2 Hits Knock-down Known pathway members New RNAi Hits Compare expression phenotypes by NEMs NF B Roland Schwarz + Meyer lab @ MPI IB Berlin ?
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Roland Schwarz Nested Effect Models for NF B
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Take-home messages Phenotyping screens probe a cell’s reaction to targeted perturbations Guilt-by-assocation is a powerful predictor of gene/protein function … … but Guilt-by-assocation has limited ability to infer mechanisms Inferring subset relations by Nested Effects Models provides hierarchical view of cellular organisation
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PLoS Comput Biol 6(2) 2010
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the team
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Florian Markowetz markowetzlab.org Thank you ! Joining the dots …
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