Protein domains vs. structure domains - an example. - PowerPoint PPT Presentation

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Protein domains vs. structure domains - an example.

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Genome reduction observed in symbionts (Schmidt) ... Rosetta Stone. Co-regulation. Phylogenetic analysis. Yeast 2-hybrid approach ... Rosetta stone analysis ... – PowerPoint PPT presentation

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Title: Protein domains vs. structure domains - an example.


1
  • Protein domains vs. structure domains - an
    example.

2
Genome of the week
  • Nanoarchaeum equitans - archaea
  • Hyperthermophile
  • Diverged early in evolution from other archaea
  • New kingdom of archaea?
  • Obligate symbiont with Ignicoccus
  • Smallest completely sequenced genome
  • lt500kB
  • Genome reduction observed in symbionts (Schmidt)
  • Is N. equitans a primitive archaea or is the
    genome undergoing reductive evolution?

3
  • N. equitans lacks genes necessary for many
    aspects of central metabolism.
  • Cant make lipids, vitamins, amino acids, etc.
  • Parasite, not symbiont? First archaea
  • Genome is quite compact.
  • 95 of genome codes for genes. 552.
  • Not primitive.
  • Has complete set of information pathway and cell
    cycle genes found in archaea.
  • No longer undergoing reductive evolution.
  • Normally would find pseudogenes - not found.

4
Protein complexes - why?
  • Proteins often function as large, multi-subunit
    complexes.
  • ribosomes
  • Can get clues about the function of a protein by
    knowing what other proteins it contacts.

5
Proteinprotein interactions
  • Genetic approach
  • Yeast 2-hybrid
  • Biochemical approach
  • Co-immunoprecipitation
  • Fusion protein affinity chromatography
  • Cell-biology
  • FRET - fluorescence resonance energy transfer
  • Computational
  • Rosetta Stone
  • Co-regulation
  • Phylogenetic analysis

6
Yeast 2-hybrid approach
  • Based on the fact some transcriptional activators
    have separable DNA binding (BD) and
    transcriptional activation domains (AD).
  • GAL4, LexA
  • Protein you are studying Bait
  • Fused to the DNA binding domain of GAL4
  • Protein(s) you are screening Fish or Prey
  • Fused to the activation domain of GAL4
  • Transform Bait and Fish plasmids into yeast,
    measure the expression of a reporter gene.
  • Usually a gene can be selected for when
    expressed.

7
Image from http//www.bioteach.ubc.ca/MolecularBi
ology/AYeastTwoHybridAssay/
8
Yeast 2-hybrid on a genome wide scale
  • Clone every gene in your genome into both the
    bait and fish vectors.
  • Systematically screen each gene for interactions.
  • Mate individual yeast strains.
  • Many false positives.

9
Interactome
  • Term to define all of the protein interactions
    that take place in the cell.
  • Book example - predicting human interactions.
  • Based on data that only 10 of the measured
    interactions are physiological

10
Yeast 2-hybrid
  • False-positives
  • Some baits are sticky leading to non-functional
    interactions
  • False negatives
  • Binding not tight enough to detect interaction
  • Fusion proteins often do not fold correctly
  • Works best when comparing two proteins suspected
    of interacting
  • Bacterial 2-hybrid systems

11
Co-immunoprecipitation
  • Using an antibody to isolate and purify a protein
    from a whole cell lysate.
  • Normally you will only purify the protein the
    antibody recognizes.
  • Any additional proteins that co-purify are
    candidates for interacting proteins.

12
Hirano et al, 1997 Cell, Vol 89, 511-521, 16 May
1997
13
Fusion protein affinity chromatography
  • Express the protein of interest as a fusion
    protein.
  • 6-8X His residues
  • Glutathione S-transferase (GST)
  • Other tags
  • Bind and purify the protein of interest
  • Poly His residues will bind Ni2
  • GST will bind glutathione

14
Image from Sigma-Aldrich
15
Fusion proteins - identifying interactions.
  • In vivo - express fusion protein in vivo
  • Purify complexes from the cell
  • In vitro - overexpress protein in vitro
  • Bind fusion protein to a column and run whole
    cell lysate through the column. Identify
    proteins that stick to the fusion protein.

16
Difficulties when using biochemical approaches
  • Stability of proteinprotein interactions.
  • Many are not stable enough to survive
    purification.
  • Is the fusion protein functional?
  • Many times fusions will not be functional.
  • Quality of the antibody.
  • Is it good enough to precipitate enough protein
    for analysis?

17
Computational methods
  • Rosetta stone analysis
  • Search for proteins that are separate in one
    organism but are fused into one protein in
    another organism.

18
Computational methods
  • Co-expression
  • Genes that are in operons are often functionally
    linked. (not always true).
  • Determine if the structure of an operon is
    conserved, indicating co-expression.
  • Candidates for interaction.
  • Not a great method.

19
Phylogenetic analysis
  • Search for the presence of a protein in all
    organisms.
  • Determine the distribution.
  • Identify other proteins that also show this
    distribution.
  • Functionally interact? Physically?

20
PLEX
  • Protein Link EXplorer.
  • Uses phylogenetic profiles to predict possible
    associations.
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