27041, Week 02 Review of Week 01 The human genome sequencing project (HGP) 2 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Systems Biology and emergent properties 3 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Different model representations 4 CBS, Department of Systems Biology Chen et al., Mol. Biol. Cell., 2004 27041, Introduction to Systems Biology Systems Biology at a glance YER001W YDR097C YBR088C YBR089W YOL007C YBR054W YPL127C YMR215W YNR009W YBR071W YDR224C YBL002W YDL003W YNL283C YBL003C YGR152C Parts List … … Interactions Dynamics 6 CBS, Department of Systems Biology • Sequencing • Gene knock-out • Microarrays • Protein-Protein interactions • Protein-DNA interactions • Subcellular Localization • Microarrays • Proteomics • Metabolomics Model Generation 27041, Introduction to Systems Biology Levels of organization 7 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Networks in Molecular Biology • Protein-Protein interactions • Protein-DNA interactions • Genetic interactions • Metabolic reactions • Text mining interactions • Association Networks • Etc. Barabasi & Oltvai, Nature Reviews, 2004 8 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Protein-protein interactions Protein-protein interaction data is accumulating 10 CBS, Department of Systems Biology 27041, Introduction to Systems Biology 30-40% Orphan Human Proteins 11 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Protein-protein interactions: guilty-byassociation Protein-protein interaction network Red protein: Unknown function Yellow protein: RNA splicing White protein: Other functional role 12 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Classical methods for identifying proteinprotein interactions • Co-immunoprecipitation • Affinity chromatography / crosslinking • Fluorescence energy transfer (FRET) • Dominant negatives – Over-expression of a mutant form of protein X causes loss of function despite the presence of native proteins. One explanation is that X forms a multimer that sequesters functional proteins. 13 CBS, Department of Systems Biology 27041, Introduction to Systems Biology High-throughput methods for measuring interactions • • • • • • • • • 14 Phage display SOS recruitment assay Split-ubiquitin system Dual-bait system 2-hybrid Protein complementation assay (PCA) Co-immunoprecipitation Protein arrays ChIP-Chip/Chip-Seq CBS, Department of Systems Biology 27041, Introduction to Systems Biology Yeast Two Hybrid (Y2H) Method • One problem with phage display and other in vitro technologies is that the measured binding may not actually occur. • Y2H assays interactions in vivo. • Uses property that transcription factors generally have separable transcriptional activation (AD) and DNA binding (DBD) domains. • A functional transcription factor can be created if a separately expressed AD can be made to interact with a DBD. • A protein ‘bait’ B is fused to a DBD and screened against a library of protein ‘preys’, each fused to a AD. 15 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Transcription factor An activating transcription factor: 1. Binds to DNA using a DNA-binding domain (DBD) 2. Recruits the transcriptional machinery using a transcriptional activation domain (AD) 16 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Yeast Two-Hybrid Method Y2H assays interactions in vivo. Uses property that transcription factors generally have separable transcriptional activation (AD) and DNA binding (DBD) domains. A functional transcription factor can be created if a separately expressed AD can be made to interact with a DBD. A protein ‘bait’ B is fused to a DBD and screened against a library of protein ‘preys’, each fused to a AD. Animation! Causier, Mass spectrometry Reviews, 2004 17 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Y2H goes global 18 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Y2H Random Library a Approach Bait B1 X Genomic fragment library Interacting Domain Protein Selected fragments (prey) 19 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Two large-scale Y2H studies: Uetz et al. Uetz et al. : 6144 prey X 5345 baits 692 Interactions Uetz et al, Nature 2000 20 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Two large-scale Y2H studies: Ito et al. Ito et al. : ~ 6200 prey X ~ 6200 baits 841 Interactions Ito et al., PNAS 2001 21 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Reproducibility in Y2H Uetz et al. : 6144 prey X 5345 baits Ito et al. : ~ 6200 prey X ~ 6200 baits 692 Interactions 841 Interactions 551 141 700 Overlap 22 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Protein Complementation Assay (PCA) 23 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Affinity Purification followed by Mass Spectrometry (AP/MS) 24 CBS, Department of Systems Biology 27041, Introduction to Systems Biology General strategy Affinity Purification Step 25 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Affinity Chromatography Designed to purify a protein from a complex mixture Load affinity column with antigen (or antibody) 27 CBS, Department of Systems Biology Proteins react with different affinities Proteins sieve through matrix of affinity beads 27041, Introduction to Systems Biology Affinity Chromatography (2) Wash off proteins that do not bind 28 CBS, Department of Systems Biology Elute and collect bound proteins 27041, Introduction to Systems Biology 29 CBS, Department of Systems Biology Affinity Purification Step Mass Spectrometry Step General strategy 27041, Introduction to Systems Biology Mass spectrometry • Mass spectrometers consist of three essential parts: – Ionization source: Converts peptides into gas-phase ions (MALDI + ESI) – Mass analyzer: Separates ions by mass to charge (m/z) ratio (Ion trap, time of flight, quadrupole) – Ion detector: Current over time indicates amount of signal at each m/z value 31 For details on Proteomics, see Aebersold & Mann, 27041, Nature, 2003 Introduction to Systems Biology CBS, Department of Systems Biology Mass spectrometry Aebersold & Mann, Nature 2003 32 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Two large-scale mass spec experiments Gavin et al. Ho et al. Gavin et al. : 1167 baits 589 protein complexes (232 distinct) Ho et al. : 725 baits 3617 interactions among 1578 proteins 33 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Reproducibility in AP/MS Gavin et al. : 1167 baits Ho et al. : 725 3225 interactions among 1440 proteins 3617 interactions among 1578 proteins Overlap in baits 1052 (454) 115 610 (493) 3007 198 3419 Overlap 34 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Recent HTP (binary) PPI networks Y2H by Yu et al. 2008 : 2018 proteins, 2930 interactions PCA by Tarassov et al. 2008 : 1124 proteins, 2770 interactions 36 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Scoring protein-protein interactions Topology based scoring of interactions Yeast twohybrid D A B C High confidence (1 unshared interaction partners) Low confidence (4 unshared interaction partners) Complex pull-downs Low confidence (rarely purified together) High confidence (often purified together) de Lichtenberg et al., Science 2005 38 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Issues with Y2H • Strengths – high sensitivity (transient & permanent PPIs) – takes place in vivo – independent of endogenous expression • Weaknesses: False positive interactions – Auto-activation – ‘sticky’ prey – detects “possible interactions” that may not take place under real physiological conditions – may identify indirect interactions (A-C-B) • Weaknesses: False negatives interactions – Similar studies often reveal very different sets of interacting proteins (i.e. False negatives) – may miss PPIs that require other factors (e.g. ligands, proteins, PTMs) 40 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Affinity Purification & mass spectrometry Strengths • high specificity • well suited for detecting permanent or strong transient interactions (complexes) • detects real, physiologically relevant PPIs Weaknesses • less suited for detecting weaker transient interactions (low sensitivity) • may miss complexes not present under the given experimental conditions (low sensitivity) • may identify indirect interactions (A-C-B) 41 CBS, Department of Systems Biology 27041, Introduction to Systems Biology Filtering by subcellular localization de Lichtenberg et al., Science, 2005 42 CBS, Department of Systems Biology 27041, Introduction to Systems Biology