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Proteome and Gene Expression Analysis

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To know when, where and how much ... To understand the transcriptional and translational regulation of RNA and ... Liquid chromatograph Mass Spectrometry ... – PowerPoint PPT presentation

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Title: Proteome and Gene Expression Analysis


1
Proteome and Gene Expression Analysis
  • Chapter 15 16

2
The Goals
  • Functional Genomics
  • To know when, where and how much genes are
    expressed.
  • To know when, where, what kind and how much of
    each protein is present.
  • Systems Biology
  • To understand the transcriptional and
    translational regulation of RNA and proteins in
    the cell.

3
Genes and Proteins
  • First, well talk about how to find out what
    genes are being transcribed in the cell.
  • This is often referred (somewhat misleadingly) to
    gene expression.
  • Second, well look at measuring the levels of
    proteins in the cell.
  • The real expression of protein coding genes
  • Third, well talk about how we process and
    analyze the raw data using bioinformatics.

4
Review Gene Arrays
  • Put a bunch of different, short single-stranded
    DNA sequences at predefined positions on a
    substrate.
  • Let the unknown mixture of tagged DNA or RNA
    molecules hybridize to the DNAs.
  • Measure the amount of hybridized material.

5
Getting the Data
6
Getting Protein Expression Data
  • To be able to understand protein expression, we
    need the concentrations of all proteins (the
    proteome) in difference cell and tissue types
    under varying conditions.
  • Large scale identification of proteins is much
    more limited than for RNA.
  • Nothing really equivalent to RNA expression
    microarrays or high-throughput sequencing exists
    yet.
  • Relatively low-throughput technologies are all
    that we have right now.

7
Measuring Protein Expression
  • In order to measure all the types of protein in a
    cell we must
  • Extract the proteins
  • Purify the proteins
  • Identify the individual proteins
  • How do we accomplish purification and
    identification of proteins.

8
The TechnologiesProtein Expression
  • Low-throughput
  • 2D Gel Electrophoresis Mass Spectrometry
  • Liquid chromatograph Mass Spectrometry
  • Protein microarrays
  • Limited in application at this point
  • Can be used for things other than protein
    expression like protein-protein interactions

9
Extracting the Proteins
  • First, the proteins are extracted from the cells
    using lysis.
  • This involves a detergent that destroys the
    membranes of the cell.

10
Separating the Proteins2D Gel Electrophoresis
  • First step pI/pH
  • Proteins are introduced to a gel with an
    imobilized pH gradient.
  • A charge is applied.
  • Proteins migrate until the pH causes them to lose
    their charge (isoelectric point) and then stop.
  • Second step mass
  • First gel transferred to second gel
  • SDS (detergent) breaks structure and charges the
    proteins proportional to their mass.

11
Using the 2D Gel
  • Staining makes the spots containing the
    individual (we hope) proteins visible.
  • The gel is photographed.
  • Protein level (concentration) can be estimated by
    image processing.
  • Individual, stained spots can be cut out for
    evaluation by Mass Spectrometry.

segmenting
dust
12
Two channel 2D Gels
  • Low signal-to-noise is a problem with protein
    gels, as it is with RNA expression arrays.
  • A similar trick of putting two cell lysates
    (samples) on one gel can help.
  • Registration problems and sample-dependent
    effects are thereby minimized.
  • However, 1-channel gels allow comparing more than
    two samples

13
Protein Identification Using Mass Spectrometry
14
Steps of Mass Spectrometry
  • Digest
  • Sample (spot) is digested with a proteolytic
    enzyme
  • Spectrum
  • Peaks correspond to the mass-charge ratio of
    protein fragments
  • These provide a fingerprint
  • Identify
  • Compare fingerprint to theoretical fingerprints
  • Post-translational modifications screw things up.

15
Spectrum Protein Fingerprint
16
Tricks Protein chips
  • If you had an antibody to every possible protein
    and could put it on a chip, and you could label
    the proteins in your sample, you would have
    something equivalent to an RNA expression
    microarray.
  • Getting reliable antibodies is difficult and
    expensive.
  • Arrays with 500 to 2000 proteins are available
    commercially Clontech, Eurogentec, Arrayit etc.

17
Not part of this subject, but cool
18
Protein Arrays for Measuring Protein-Protein
Interactions
  • You can synthesize proteins from DNA directly on
    a substrate.
  • Nano-well approach
  • Printing approach DAPA (DNA to Protein Array)
  • These can be used for measuring binding between
    proteins, but not for identification of proteins.

19
Next timeAnalyzing Gene and Protein Expression
Data
Protein Expression Clustering
Gene expression clustering
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