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High Throughput Methods in Proteomics

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957 putative interactions. 1004 of 6000 predicted proteins ... 1200 putative interactions identified. Connects 45% of the H. pylori proteome. Lecture 1.1 ... – PowerPoint PPT presentation

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Title: High Throughput Methods in Proteomics


1
High Throughput Methods in Proteomics
  • David Wishart
  • University of Alberta
  • Edmonton, AB
  • david.wishart_at_ualberta.ca

2
Proteomics
Proteomics employs an incredibly diverse range of
technologies including
  • molecular biology
  • chromatography
  • electrophoresis
  • mass spectrometry
  • X-ray crystallography
  • NMR spectroscopy
  • microscopy
  • computational biology

3
Proteomics Tools
  • Molecular Biology Tools
  • Separation Display Tools
  • Protein Identification Tools
  • Protein Structure Tools

4
Molecular Biology Tools
  • Northern/Southern Blotting
  • Differential Display
  • RNAi (small RNA interference)
  • Serial Analysis of Gene Expression (SAGE)
  • DNA Microarrays or Gene Chips
  • Yeast two-hybrid analysis
  • Immuno-precipitation/pull-down
  • GFP Tagging Microscopy

5
SAGE
  • Principle is to convert every mRNA molecule into
    a short (10-14 base), unique tag. Equivalent to
    reducing all the people in a city into a
    telephone book with surnames
  • After creating the tags, these are assembled or
    concatenated into a long list
  • The list can be read using a DNA sequencer and
    the list compared to a database to ID genes or
    proteins and their frequency

6
SAGE Tools
7
SAGE
Convert mRNA to dsDNA Digest with
NlaIII Split into 2 aliquots Attach Linkers
8
SAGE
Linkers have PCR Tagging Endonuclease Cut
with TE BsmF1 Mix both aliquots Blunt-end
ligate to make Ditag Concatenate Sequence
9
SAGE of Yeast Chromosome
10
DNA Microarrays
  • Principle is to analyze gene (mRNA) or protein
    expression through large scale non-radioactive
    Northern (RNA) or Southern (DNA) hybridization
    analysis
  • Brighter the spot, the more DNA
  • Microarrays are like Velcro chips made of DNA
    fragments attached to a substrate
  • Requires robotic arraying device and fluorescence
    microarray reader

11
Gene Chip Tools
12
DNA Microarrays
13
DNA Microarray
14
Microarrays Spot Colour
15
Microarray Analysis Examples
Brain
Lung
Liver
Liver Tumor
16
Microarray Software
17
Yeast Two-Hybrid Analysis
  • Yeast two-hybrid experiments yield information on
    protein protein interactions
  • GAL4 Binding Domain
  • GAL4 Activation Domain
  • X and Y are two proteins of interest
  • If X Y interact then reporter gene is expressed

18
Invitrogen Yeast 2-Hybrid
19
Example of 2-Hybrid Analysis
  • Uetz P. et al., A Comprehensive Analysis of
    Protein-Protein Interactions in Saccharomyces
    cerevisiae Nature 403623-627 (2000)
  • High Throughput Yeast 2 Hybrid Analysis
  • 957 putative interactions
  • 1004 of 6000 predicted proteins involved

20
Example of 2-Hybrid Analysis
  • Rain JC. et al., The protein-protein interaction
    map of Helicobacter pylori Nature 409211-215
    (2001)
  • High Throughput Yeast 2 Hybrid Analysis
  • 261 H. pylori proteins scanned against genome
  • gt1200 putative interactions identified
  • Connects gt45 of the H. pylori proteome

21
Another Way?
  • Ho Y, Gruhler A, et al. Systematic identification
    of protein complexes in Saccharomyces cerevisiae
    by mass spectrometry. Nature 415180-183 (2002)
  • High Throughput Mass Spectral Protein Complex
    Identification (HMS-PCI)
  • 10 of yeast proteins used as bait
  • 3617 associated proteins identified
  • 3 fold higher sensitivity than yeast 2-hybrid

22
Affinity Pull-down
23
Molecular Biology Tools
  • Northern/Southern Blotting
  • Differential Display
  • RNAi (small RNA interference)
  • Serial Analysis of Gene Expression (SAGE)
  • DNA Microarrays or Gene Chips
  • Yeast two-hybrid analysis
  • Immuno-precipitation/pull-down
  • GFP Tagging Microscopy

24
Yeast Protein Localization
Huh, K et al., Nature, 425686-691(2003)
25
Yeast Proteome Localized
  • Used 6234 yeast strains expressing full-length,
    chromosomally tagged green fluorescent protein
    (GFP) fusion proteins
  • Measured localization by fluorescence microscopy
  • Localized 75 of the yeast proteome, into 22
    distinct subcellular localization categories
  • Provided localization information for 70 of
    previously unlocalized proteins

26
22 Different Cellular Zones
27
GFP Tagging the Yeast Proteome
28
Fluorescence Microscopy
Nucleus Nuclear Periphery
Endoplasmic Retic.
Bud Neck Mitochondria
Lipid particles
29
Confirmation by Co-localization (GFP/RFP merging)
30
Results
31
Proteomics Tools
  • Molecular Biology Tools
  • Separation Display Tools
  • Protein Identification Tools
  • Protein Structure Tools

32
Separation Display Tools
  • 1D Slab Gel Electrophoresis
  • 2D Gel Electrophoresis
  • Capillary Electrophoresis
  • HPLC (SEC, IEC, RP, Affinity, etc.)
  • Protein Chips

33
SDS PAGE
34
SDS PAGE Tools
35
Isoelectric Focusing (IEF)
36
Isoelectric Focusing
  • Separation of basis of pI, not Mw
  • Requires much higher voltages
  • Requires much longer period of time
  • IPG (Immobilized pH Gradient)
  • Typically done in strips or tubes (to facilitate
    2D gel work)
  • Uses ampholytes to establish pH gradient

37
2D Gel Principles
IEF
SDS PAGE
38
Advantages and Disadvantages
  • Provides a hard-copy record of separation
  • Allows facile quantitation
  • Separation of up to 9000 different proteins
  • Highly reproducible
  • Gives info on Mw, pI and post-trans modifications
  • Inexpensive
  • Limited pI range (4-8)
  • Proteins gt150 kD not seen in 2D gels
  • Difficult to see membrane proteins (gt30 of all
    proteins)
  • Only detects high abundance proteins (top 30
    typically)
  • Time consuming

39
2D Gel Software
40
Capillary Electrophoresis
41
Capillary Electrophoresis
  • Capillary Zone Electrophoresis (CZE)
  • Separates on basis of m/z ratio
  • Capillary Gel Electrophoresis (CGE)
  • Separates by MW and m/z ratio
  • Capillary Isoelectric Focusing (CIEF)
  • Separates on basis of pI
  • 2-Dimensional Electrophoresis (2D-CE)
  • Separates using tandem CE methods

42
Chromatography
  • Size Exclusion (size)
  • Reverse Phase (hphob)
  • Ion Exchange (charge)
  • Normal Phase (TLC)
  • Affinity (ligand)
  • HIC (hydrophobicity)
  • 2D Chromatography

43
Ciphergen Protein Chips
44
Ciphergen Protein Chips
  • Hydrophobic (C8) Arrays
  • Hydrophilic (SiO2) Arrays
  • Anion exchange Arrays
  • Cation exchange Arrays
  • Immobilized Metal Affinity (NTA-nitroloacetic
    acid) Arrays
  • Epoxy Surface (amine and thiol binding) Arrays

45
Ciphergen Protein Chips
Normal
Tumor
46
Protein Arrays
47
Different Kinds of Protein Arrays
Antibody Array Antigen Array
Ligand Array
Detection by SELDI MS, fluorescence, SPR,
electrochemical, radioactivity, microcantelever
48
Protein (Antigen) Chips
H Zhu, J Klemic, S Chang, P Bertone, A Casamayor,
K Klemic, D Smith, M Gerstein, M Reed, M
Snyder (2000).Analysis of yeast protein kinases
using protein chips. Nature Genetics 26 283-289
ORF
GST
His6
Nickel coating
49
Protein (Antigen) Chips
Nickel coating
50
Arraying Process
51
Probe with anti-GST Mab
Nickel coating
52
Anti-GST Probe
53
Probe with Cy3-labeled Calmodulin
54
Functional Protein Array
Nickel coating
55
Proteomics Tools
  • Molecular Biology Tools
  • Separation Display Tools
  • Protein Identification Tools
  • Protein Structure Tools

56
Microsequencing
Electro-blotting
57
Edman Sequencing
58
Microsequencing
  • Generates sequence info from N terminus
  • Commonly done on low picomolar amounts of protein
    (5-50 ng)
  • Newer techniques allow sequencing at the
    femtomolar level (100 pg)
  • Up to 20 residues can be read
  • Allows unambiguous protein ID for 8 AA
  • Relatively slow, modestly expensive

59
Protein ID by MS and 2D gel
60
Protein ID by MS and 2D gel
  • Requires gel spots to be cut out (tedious)
  • Ideal for high throughput (up to 500 samples per
    day)
  • Allows modifications to be detected
  • MS allows protein identification by
  • Intact protein molecular weight
  • Peptide fingerprint molecular weights
  • Sequencing through MS/MS

61
Protein ID Protocol
62
Typical Results
  • 401 spots identified
  • 279 gene products
  • Confirmed by SAGE, Northern or Southern
  • Confirmed by amino acid composition
  • Confirmed by amino acid sequencing
  • Confirmed by MW pI

63
MS Analysis Software
Protein Prospector MS-Fit Mowse PeptideSearch PROW
L
64
Proteomics Tools
Molecular Biology Tools Separation Display
Tools Protein Identification Tools Protein
Structure Tools
65
Protein Structure Initiative
  • 35,000 proteins
  • 10,000 subset
  • 30 ID or
  • 30 seq
  • Solve by 2010
  • 20,000/Structure

30 seq
66
Structure Determination
NMR X-ray
67
X-ray Crystallography
F T
68
NMR Spectroscopy
F T
69
Structure Determination
70
Bottlenecks
X-ray NMR
  • Producing enough protein for trials
  • Crystallization time and effort
  • Crystal quality, stability and size control
  • Finding isomorphous derivatives
  • Chain tracing checking
  • Producing enough labeled protein for collection
  • Sample conditioning
  • Size of protein
  • Assignment process is slow and error prone
  • Measuring NOEs is slow and error prone

71
Protein Expression
72
Robotic Crystallization
73
Synchrotron Light Source
74
MAD X-ray Crystallography
  • MAD (Multiwavelength Anomalous Dispersion
  • Requires synchrotron beam lines
  • Requires protein with multiple scattering centres
    (selenomethionine labeled)
  • Allows rapid phasing
  • Proteins can now be solved in just 1-2 days

75
High Throughput NMR
  • Higher magnetic fields (From 400 MHz to 900 MHz)
  • Higher dimensionality (From 2D to 3D to 4D)
  • New pulse sequences (TROSY, CBCANNH)
  • Improved sensitivity
  • New parameters (Dipolar coupling, cross
    relaxation)

76
Automated Structure Generation
77
NMR Structural Proteomics
Proc. Natl. Acad. Sci. USA, Vol. 99,1825-1830,
2002
78
NMR Structural Proteomics
Proc. Natl. Acad. Sci. USA, Vol. 99,1825-1830,
2002
79
Auto-comparative Modeling
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80
The Goal
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