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Protein-protein interactions

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Lecture series in systems biology Protein-protein interactions Department of Bioinfomatics Shanghai Jiao Tong University Woo Mao-Ying ricket_at_sjtu.edu.cn – PowerPoint PPT presentation

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Title: Protein-protein interactions


1
Protein-protein interactions
Lecture series in systems biology
Department of Bioinfomatics Shanghai Jiao Tong
University
Woo Mao-Ying ricket_at_sjtu.edu.cn
http//202.120.45.17/course/intro/ppi.htm
2
Outline
  • Why protein-protein interactions?.
  • Experimental methods for discovering PPIs
  • Yeast-two-hybrid(?????)
  • AP-MS(????-????)
  • PPIs databases
  • DIP
  • MIPs
  • Computational prediction of PPIs
  • Phylogenetic based method(???????)
  • Expression correlation based method (???????)
  • STRING (EMBL)

3
Why protein-protein interactions (PPI)?
  • Gene is the basic unit of heredity. Genomes are
    availabe.
  • Proteins, the working molecules of a cell, carry
    out many biological activities
  • Proteins function by interacting with other
    proteins.

genome
Proteome(????)
interactome
4
Why protein-protein interactions (PPI)?
  • PPIs are involved in many biological processes
  • Signal transduction (????)
  • Protein complexes or molecular machinery
    (??????????)
  • Protein carrier (?????)
  • Protein modifications (phosphorylation) (??????)
  • PPIs help to decipher the molecular mechanisms
    underlying the biological functions, and enhance
    the approaches for drug discovery

5
High throughput experimental methods for
discovering PPIs
  • Yeast-two-hybrid (Y2H,?????)
  • Ito T. et al., 2001
  • Uetz P. et al., 2000
  • Affinity purification followed by mass
    spectrometry (AP-MS,????-????)
  • Gavin AC et al., 2002, 2006
  • Ho Y. et al., 2002
  • Krogan NJ et al., 2006

6
Y2H experiments
  • Idea
  • Bait ????(prey????) protein is fused to the
    binding domain (activation domain).
  • If bait and prey proteins interact, the
    transcription of the reporter gene is initiated.
  • High throughput screening the interactions
    between the bait and the prey library.
  • In yeast nucleus

7
AP-MS experiments
  • Fuse a TAP tag consisting of protA (IgG binding
    peptides) and calmodulin binding peptide (CBP)
    separated by TEV protease cleavage site to the
    target protein
  • After the first AP step (???????) using an IgG
    (?????) matrix, many contaminants are
    eliminated.
  • In the second AP step(???????), CBP binds tightly
    to calmodulin coated beads. After washing which
    removes remained contaminants and the TEV
    protease, the bound meterial is released under
    mild condition with EGTA (??????????? ).
  • Proteins are identified by mass spectrometry

8
PPIs Databases.
  • DIP- Database of Interacting Protein.
  • (http//dip.doe-mbi.ucla.edu/ )
  • MIPS-Munich Information center for Protein
    Sequences.
  • (http//mips.gsf.de/ )

9
DIP
  • Protein function
  • Protein-protein relationship
  • Evolution of protein-protein interaction
  • The network of interacting proteins
  • Unknown protein-protein interaction
  • The best interaction conditions

10
DIP-Statistics
  • Number of proteins 20731
  • Number of organisms 274
  • Number of interactions 57687
  • Number of distinct experiments describing an
    interaction 65735
  • Number of data sources (articles) 3915

11
DIP-Searching information
12
Find information about your protein
13
DIP Node (DIP1143N)
14
Graph of PPIs around DIP1143N
  • Nodes are proteins
  • Edges are PPIs
  • The center node is DIP1143N
  • Edge width encodes the number of independent
    experiments identyfying the interaction.
  • Green (red) is used to draw core (unverified)
    interactions.
  • Click on each node (edge) to know more about the
    protein (interaction).

15
List of interacting partners of DIP1143N
16
MIPS
  • Services
  • Genomes
  • Databanks retrieval systems
  • Analysis tools
  • Expression analysis
  • Protein protein interactions
  • MPact the MIPS protein interaction resource on
    yeast.
  • MPPI the MIPS Mammalian Protein-Protein
    Interaction Database.
  • Protein complexes
  • Mammalian protein complexes at MIPS

17
MPact the MIPS protein interaction resource on
yeast
  • Query all PPIs of a yeast protein

18
MPact the MIPS protein interaction resource on
yeast
19
MPact Interaction Visualization
20
MPPI the MIPS Mammalian Protein-Protein
Interaction Database
  • Query PPIs of a mamalian protein. You can use
    x-ref, for example Uniprot accession number.

21
Results for PPI search
  • In short format

22
Results for PPI search
  • In full format

23
Mammalian protein complexes at MIPS
24
(No Transcript)
25
Search information of complexes
26
Assessment of largescale data sets of PPIs
  • The overlap between the individual methods is
    surprisingly small
  • The methods may not have reached saturation.
  • Many of the methods may produce a significant
    fraction of false positives.
  • Some methods may have difficulties for certain
    types of interactions

Von Mering C, et al. Nature, (2002) 417 399403
27
Functional biases
  • AP-MS discovers few PPIs involved in transport
    and sensing
  • Y2H detects few PPIs involved in translation.
  • Different methods complement each other

Von Mering C, et al. Nature, (2002) 417 399403
28
Coverage and Accuracy
  • Limited and biased coverage (False Negatives)
  • High error rate (False Positives)
  • Expensive, time-consuming and labor-intensive

Von Mering C, et al. Nature, (2002) 417 399403
29
Computational methods of prediction
  • Current approaches
  • Genomic methods
  • Biological context methods
  • Structural based methods

30
Genomic methods
  • Protein a and b whose genes are close in
    different genomes are predicted to interact.
  • Protein a and b are predicted to interact if they
    combine (fuse) to form one protein in another
    organism.
  • Protein a and c are predicted to interact if they
    have similar phylogenetic profiles.

31
Biological context methods
  • Gene expression Two protein whose genes exhibit
    very similar patterns of expression across
    multiple states or experiments may then be
    considered candidates for functional association
    and posibly direct physical interaction.
  • GO annotations two interacting proteins likely
    have the same GO term annotations.
  • Machine learning techniques are adopted for PPI
    classification by intergrating all known
    information.

32
STRING Search Tool for the Retrieval of
Interacting Genes/Proteins
  • A database of known and predicted protein
    interactions
  • Direct (physical) and indirect (functional)
    associations
  • The database currently covers 2,483,276 proteins
    from 630 organisms
  • Derived from these sources
  • Supported by

33
Searching information
  • Query infomation via protein names or protein
    sequences.

34
Graph of PPIs
  • Nodes are proteins
  • Lines with color is an evidence of interaction
    between two proteins. The color encodes the
    method used to detect the interaction.
  • Click on each node to get the information of the
    corresponding protein.
  • Click on each edge to get information of the
    interaction between two proteins.

35
List of predicted partners
  • Partners with discription and confidence score.
  • Choose different types of views to see more detail

36
Neighborhood View
  • The red block is the queried protein and others
    are its neighbors in organisms. Click on the
    blocks to obtain the information about
    corresponding proteins.
  • The close organisms show the similar protein
    neighborhood patterns.
  • Help to find out the close genes/proteins in
    genomic region.

37
Occurence Views
  • Represents phylogenetic profiles of proteins.
  • Color of the boxes indicates the sequence
    similarity between the proteins and their
    homologus protein in the organisms.
  • The size of box shows how many members in the
    family representing the reported sequence
    similarity.
  • Click on each box to see the sequence alignment.

38
Gene Fusion View
  • This view shows the individual gene fusion events
    per species
  • Two different colored boxes next to each other
    indicate a fusion event.
  • Hovering above a region in a gene gives the gene
    name clicking on a gene gives more detailed
    information

39
References
  • Ito T et.al A comprehensive two-hybrid analysis
    to explore the yeast protein interactome. Proc.
    Natl Acad. Sci. USA 2001, 984569-4574.
  • Uetz P et. al A comprehensive analysis
    protein-protein interactions in Saccharomyces
    cerevisiae. Nature 2000, 403623-627.
  • Gavin AC et.al Functional organization of the
    yeast proteome by systematic analysis of protein
    complexes. Nature 2002, 415141-147.
  • Gavin AC et.al Proteome survey reveals
    modularity of the yeast cell machinery. Nature
    2006, 440631-636.
  • Ho Y et.al Systematic identification of protein
    complexes in Saccharomyces cerevisiae by mass
    spectrometry. Nature 2002, 415180-183.
  • Von Mering C et.al Comparative assessment of
    large-scale data sets of protein-protein
    interactions. Nature 2002, 417399-403.

40
Thank you for your attention
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