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Title: Experimental and Computational Methods for Construction of Protein-Protein Interaction Map


1
Experimental and Computational Methods for
Construction of Protein-Protein Interaction Map
  • 2006.03.02
  • ik-hyun BAe
  • Molecular Genetic Lab
  • Department of horticultural science

2
Contents
  • Introduction
  • Experimental methods
  • Computational methods
  • Summary
  • Reference

3
Introduction
  • Importance of protein interaction

Genome 30.000 genes Transcriptome
40-100.000 mRNAs Proteome
100-400.000 proteins Interactome
gt1.000.000 interactions
4
Introduction
  • Importance of protein interaction
  • Protein-protein interaction are intrinsic to
    virtually every cellular process
  • cell growth, cell cycle, metabolic pathway,
    signal transduction
  • Understanding of how proteins function within
    the cell
  • Gene mutation ? protein interaction confusion ?
    disease
  • New drug development by protein function
    analysis
  • Unknown protein may be discovered by known
    protein in protein signal pathway

(Benno Schwikowski, et al. 2000)
5
I.Experimental methods
  • In vitro
  • Co-immunoprecipitation
  • TAP-MS
  • Far-western analysis
  • GST-pull down assays
  • Protein arrays

Bait Prey model
  • In vivo
  • Yeast two-hybrid system
  • Phage display

Physical interaction between protein binding
domains
6
Co-immunoprecipitation
  • Immunoprecipitation (IP) experiment
  • - immune response precipitation
  • Affinity purify a bait protein antigen together
    with its binding partner using a specific
    antibody
  • Capturing of immune complex by solid support
  • Elution from the support and analysis by SDS-PAGE
    and detection by western blot

7
Co-immunoprecipitation
(Eric Phizicky, et al. 1995)
8
GST-pull down assays
  • Affinity chromatography method
  • Using a tagged or labeled bait by binding a
    specific affinity matrix
  • Purification of a prey protein from a lysate
    sample or other protein-containing mixture
  • GTH(glutathione)-GST(glutathione S-transferase)
    binding

9
GST-pull down assays
10
GST-pull down assays
Sepaharose bead-GTH(glutathione)
11
TAP-MS (Tandem Affinity Purification-Mass
Spectrometry)
  • Rapid purification of complexes without prior
    knowledge of the complex composition, activity,
    or function
  • Ability to purify low abundant proteins/protein
    complexes
  • Fusion of the TAP tag to the target protein
  • Complex retrieval from tissue culture
  • Large-scale studies

12
TAP-MS (Tandem Affinity Purification-Mass
Spectrometry)
(Arnaud Droit, et al. 2005)
(Guillaume Rigaut, et al. 1999)
13
Far-western analysis
  • Similar strategy to Western blotting
  • To determine receptor-ligand interactions and to
    screen libraries for interacting proteins
  • Probe-a labeled or antibody-detectable bait
    protein
  • Target protein-prey protein on the membrane
  • Detection can be radioisotopic, chemiluminescent
    or colorimetric, depending on the probe label

14
Far-western analysis
(Eric Phizicky, et al. 1995)
15
Protein arrays
  • Antibody-based or bait-based arrays
  • High-throughput assays screening and detection
    of specific interactions of proteins from complex
    mixtures
  • Protein expression profiling, protein-protein
    interaction and enzyme activity
  • Binding between the capture proteins immobilized
    on a surface and the target proteins in the
    sample solution.

16
Protein arrays
(Eric Phizicky, et al. 2003)
17
Yeast two-hybrid system
  • Detecting protein-protein interactions in yeast
  • Transcriptional regulator system
  • prey-bait model fusion proteins with a
    transcriptional activating domain (AD, prey), a
    DNA-binding domain (DBD, bait)
  • Term two-hybrid derives from these two chimeric
    proteins.
  • Most commonly used method for large scale,
    high-throughput identification of potential
    protein-protein interactions

Gene construction in yeast expression vectors
Two hybrid proteins bind
Expression of the reporter indicating that the
proteins bind
Forming a functional transcription activator
18
Fishing with yeast two-hybrid system
Bait Protein X
Prey Unknown Protein
cDNA for X
tissue
Yeast plasmid expression vector
Total mRNA
Reverse transcriptase
cDNA
Transfection
Yeast plasmid expression vector
Transfection
Transformed yeast
Activation domain
Extract plasmids
Transfection
Positive yeast containing bait plus prey
Re-transformed yeast
Agar plate
19
High-throughput Y2H screening
Two-hybrid SH3 domain protein-protein interaction
network
Principle of two-hybrid library and array
screens (Peter Uetz, et al. 2001)
(AH Yan Tong, et al. 2002)
20
Phage display
  • Molecular technique by which foreign proteins are
    expressed at the surface of phage particles
  • Affinity selection of phage by binding to an
    antigen
  • Elution of bound phage via acidic or enzymatic
    cleavage
  • Reamplification of an enriched phage population.

21
Phage display
Yeast SH3 domain protein-protein interaction
network
(AH Yan Tong, et al. 2002)
(William G.T. Willats. 2002)
22
Comparison of each method
23
II.Computational methods
  • Bioinformatics method
  • Statistical and simulational analysis through
    protein database and experimental data
  • Finding missing components in protein pathway
  • Reconstruction of signal pathway
  • Application to comparative proteomics and
    evolution study of inter- or intra-species

Reconstruction of two metabolic pathways in E.
coli. (Arnaud Droit, et al, 2005)
24
Epistasis analysis
  • Influence of one locus on the expression of
    genetic variation at another locus
  • Gene-Gene interaction
  • Genetical epistasis Statistical
    epistasis!
  • But Statistical epistasis Genetical
    epistasis?

(JH Moore, et al. 2005)
25
Epistatic interaction in yeast metabolism
  • Single and double knockout of 890 metabolic genes
  • Epistatic effect buffering, aggravating,
    noninteracting
  • Hierarchically organization of epistatic
    interaction network

Representation of the number of buffering and
aggravating interactions within and between
groups of genes
Buffering (green) and aggravating (red) gene
interaction network
(Daniel Segre, et al,
2005)
26
Microarray analysis
  • Standard statistical algorithms to arrange genes
  • According to similarity in pattern of gene
    expression
  • Coexpression of genes of known function with
    poorly characterized or novel genes
  • A simple means of gaining the functions of many
    genes
  • eQTL (expression quantitative trait loci)
    correlation analysis between trait and gene
    expression pattern

27
Gene similarity metric S(X,Y)
N, i state of conditions G, X, Y
protein Goffset set to the mean of observations
on G FG standard deviation of G
eQTL analysis
(MICHAEL B. EISEN, et al. 1998)
28
PSI PEI MAP
  • PEIMAP (Protein Experimental Interactome MAP)
    using experimental protein interaction data
  • PSIMAP (Protein Structural Interactome MAP)
    Interaction map using structural information
    about protein interactions
  • - PDB (Protein Data Bank)
  • - SCOP (Structural Classification of
    Proteins)

Jong Park, et al. (2001)
29
Protein interaction database
(Xenarios I , et al, 2001)
30
Summary
  • Protein-Protein interaction map provides
    information about every cellular process.
  • Development of new drug ,discovery of missing
    compounds in protein network and evolution study
  • Experimental method have been established for
    monitoring protein interactions in vitro by
    protein fragment complementation and for
    screening protein interactions in vivo by cloning
    of interested genes.
  • In vitro Co-immunoprecipitation, TAP-MS,
    Far-western analysis, GST-pull down assays,
    Protein arrays
  • In vivo Yeast two-hybrid system, Phage display
  • Computational methods are used to predict
    potential interactions, to validate the results
    of high-throughput interaction screens and to
    analyze the protein networks inferred from
    interaction databases.
  • Epistasis and microarray analysis , PEI PSI map

31
Reference
  • Wan K. Kim, et al. Large-scale co-evolution
    analysis of protein structural interlogues using
    the global protein structural interactome map
    (PSIMAP). Bioinfomatics 2004, 201138-1150
  • Daeui Park, et al. Comparative interactomics
    analysis of protein family interaction networks
    using PSIMAP (protein structural interactome map)
    2005, 213234-3240
  • Jong Park, et al. Mapping Protein Family
    Interactions Intramolecular and Intermolecular
    Protein Family Interaction Repertoires in the PDB
    and Yeast. J. Mol. Biol. 2001, 307 929-938
  • JH. Park, et al. Challenges and New Approaches
    in Genomics and Bioinformatics. Genomics
    Informatics. 2003, Vol. 1(1) 1-6
  • Benno Schwikowski, et al. A network of
    proteinprotein interactions in yeast. NATURE
    BIOTECHNOLOGY. 2000, 181257-1261
  • ERIC M. PHIZICKY, et al. Protein-Protein
    Interactions Methods for Detection and Analysis.
    MICROBIOLOGICAL REVIEWS, 1995, 59 94123
  • Jacob Piehler, et al. New methodologies for
    measuring protein interactions in vivo and in
    vitro. Current Opinion in Structural Biology
    2005, 15414
  • Peter Uetz, et al. Two-hybrid arrays. Current
    Opinion in Chemical Biology 2001, 65762
  • Ioannis Xenarios, et al. Protein interaction
    databases. Current Opinion in Biotechnology 2001,
    12334339
  • Arnaud Droit, et al. Experimental and
    bioinformatic approaches for interrogating
    proteinprotein interactions to determine protein
    function. Journal of Molecular Endocrinology
    2005, 34 263280
  • Lukasz Salwinski, et al. Computational methods
    of analysis of proteinprotein interactions.
    Current Opinion in Structural Biology 2003,
    13377382
  • Guillaume Rigaut, et al. A generic protein
    purification method for protein complex
    characterization and proteome exploration. NATURE
    BIOTECHNOLOGY 1999, 171030-1032
  • Andreas Bauer and Bernhard Kuster. Affinity
    purification-mass spectrometry. Eur. J. Biochem.
    2003, 270570578
  • MICHAEL B. EISEN, et al. Cluster analysis and
    display of genome-wide expression patterns. Proc.
    Natl. Acad. Sci. USA. 1998, 951486314868
  • Eric Phizicky, et al. Protein analysis on a
    proteomic scale. NATURE 2003, 422208-215
  • AH Yan Tong, et al. A Combined Experimental and
    Computational Strategy to Define Protein
    Interaction Networks for Peptide Recognition
    Modules. SCIENCE 2002, 295321-324
  • JH Moore, et al. A global view of epistasis.
    NATURE GENETICS 2005, 3713-14
  • Daniel Segre, et al. Modular epistasis in yeast
    metabolism. NATURE GENETICS 2005, 3777-83
  • Ritsert C. Jansen and Jan-Peter Nap. Genetical
    genomics the added value from Segregation.
    TRENDS in Genetics 2001, 17388-391
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