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Protein Interaction Maps and Model Organisms

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Presentation on theme: "Protein Interaction Maps and Model Organisms"— Presentation transcript:

1 Protein Interaction Maps and Model Organisms
Guang-Chao Chen IBC, Academia Sinica

2 Genome sizes of humans and other organisms
Organism estimated size estimated gene average gene chromosome number density number Homo sapiens (human) million bases ~30, gene per 100,000 bases Rattus norvegicus (rat) million bases ~30, gene per 100,000 bases Mus musculus (mouse) million bases ~30, gene per 100,000 bases Drosophila melanogaster 180 million bases , gene per 9,000 bases (fruit fly) Arabidopsis thaliana million bases , gene per 4000 bases (plant) Caenorhabditis elegans million bases , gene per 5000 bases (roundworm) Saccharomyces cerevisia 12 million bases gene per 2000 bases (yeast) Escherichia coli (bacteria) 4.7 million bases gene per 1400 bases

3 Network Biology

4 Conventional approaches:
one or a few proteins Functional genomic approaches: tens of thousands of proteins -microarrays (gene expression profile) -large scale gene knockout (RNA-mediated interference) -large scale protein localization (GFP) -protein interaction maps

5 Protein interactions are crucial in many aspects
of biological function.

6 Genetic vs physical interaction maps

7 Two directions for proteomics in protein interaction mapping.
Gene (DNA) Transcription (RNA) Protein Genome Transcriptome Proteome Forward genetics Reverse genetics Reverse proteomics Classical proteomics

8

9 The life cycle of Saccharomyces cerevisiae

10 The Nobel Prize in Physiology or Medicine 2001
"for their discoveries of key regulators of the cell cycle" Leland H. Hartwell R. Timothy Hunt Sir Paul M. Nurse

11 Yeast mutants with cell-cycle defects
Wild-type Haploid meiosis/ pat1 cdc2 cdc28 Nat Rev Genet. 2001

12 Suppressor mechanisms
Nat Rev Genet. 2001

13 Cloning suppressors ts- ts+ Nat Rev Genet. 2001

14 A novel genetic system to detect protein–protein interactions
Nature 340, (20 July 1989); doi: /340245a0     A novel genetic system to detect protein–protein interactions Stanley Fields & Ok-kyu Song

15 High-throughput two hybrid screen and interactome mapping

16 Stringent Y2H screening strategy

17 False-positives and false-negatives in Y2H

18 I. Validation of Y2H by orthogonal assays
Classification and validation of potential interactions. I. Validation of Y2H by orthogonal assays II. Interologues III. Lirature

19 (EGF) (Ras) Y2H

20 Clustering analysis suggests the existence of a multiprotein complex
The synthetic multivulva (synMuv) genes in C. elegans

21 Boulton et al. (2002) Science

22

23 The Nobel Prize in Physiology or Medicine 1995
"for their discoveries concerning the genetic control of early embryonic development" Edward B. Lewis Christiane Eric F. Wieschaus Nüsslein-Volhard

24 Second-site enhancers and suppressors

25 GAL4-dependent ectopic expression of a gene
(the GAL4-UAS system) expression of engrailed (en) Brand and Perrimon 1993 Development

26 Clonal (mosaic) analysis
Nat Rev Genet. 2002

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29 Global views of the protein-interaction map

30 Global views of the protein-interaction map

31 Local pathway views

32 Quality control in high-throughput protein interaction networks
- Existing protein complex Reproducibility of interactions Evolutionary conservation - Functional classification - Subcellular localization - Gene expression

33 The awesome power of comparative interactomics

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37 Limitations of the yeast two-hybrid system
interaction in the nucleus not suitable for membrane proteins and large-size proteins may not undergo posttranslational modification

38 Analysis of protein-protein interactions in vivo
B2H Integral membrane protein adenylate cyclase - galactosidase lactamase GFP luciferase Miller (2005) PNAS Karimova (2005) J Bacteriol.

39 Posttranslational modification Cytoplasmic interaction
- effective phosphorylation - cytotoxicity Prey fused with a myristylation sequence Guo (2004) Nature Biotechnol Aronheim (2004) Mol Cell Biol

40 Epitope phage display

41 Protein-peptide interactions with random phage display

42 Zebrafish embryonic development
Haffter et al Development

43 The zebrafish toolbox Forward genetics Reverse genetics
- Chemical mutagenesis - Insertional mutagenesis Reverse genetics - Morpholinos - Tilling (Targeting Induced Local Lesions IN Genomes) Expression profilling - Whole-embryo in situ hybridization - Gene chip - Spotted microarrays

44 Chemical screens in whole, mutant zebrafish
gridlock Small molecules that suppress gridlock circulation defects Nat Rev Drug Discov. 2005

45 Zebrafish as a system for small-molecule screens
small molecular library embryos/female 96 or 384-well assay plates examine phenotypes (automated readout) search library database Nat Rev Drug Discov. 2005

46 RNA interference (RNAi) as a platform for
dissecting the function of independent genes High-throughput genetics: large-scale RNAi libraries and large number of cell-based assays

47 High-throughput RNAi screens by cell imaging.
Kiger et al J Biol.

48 Possible fates of mammalian cells in vitro
Hela neuronal cells T epithelial cells

49 Short hairpin RNA (shRNA)

50 Genome-wide screens in mammalian cells (RNAi)

51 Direct loss-of –function versus modifier screens
Nat Rev Genet. 2006


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