proteomics - 123seminarsonly.com€¦ · proteomics september 2004 6th melbourne bioinformatics...
TRANSCRIPT
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
1
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Proteomics:Background and Applications
Andrew B. Clippingdale
Joint Proteomics Services Facility, Ludwig Institute for Cancer Research and the Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3050, Australia
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Definition of Proteomics
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
2
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Talk Summary
• Quantitative Proteomics Using 2D-Gels
• Proteomics using Multidimensional LC
• Protein Complex Analysis by Proteomics
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“I would like to analyse differential protein expression (or degradation) in disease.
Would using proteomics help?”
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
3
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Normal Colon
Adenoma (polyp)
Carcinoma
Development of Colon Cancer
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pH3 pH10
+ - --
- -+
-+
+
+-+ -
++
+++ Time0
+---
- - -+
+
++ -+
+++ ++ +
+ - --
-
++ -+ Time1
-+ Time2
1st dimension separation
Isoelectric Focusing of Proteins
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
4
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Second
dimension
separation
1st dimension separation
Molecular Weight Separation of Proteins
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Second
dimension
separation
1st dimension separation
Sample 2D-Gel
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
5
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2DE of Differential Protein Expression
Conventional 2-D
Are spot differences real?
differences
control gel 1
stain
treated gel 2
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“Ok, that gives me a start. What about gel to gel variability? Can we quantitate those changes?”
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
6
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2D DIGE
Dual scan
Dye 1
Dye 2
control
treated
Ettan™ DIGE System - 1
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Control sample Treated sample
Perfect Spot Overlays
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
7
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Ettan™ DIGE System - 2
Protein extract 1label with Cy3
Pooled internalstandard label with Cy™2
Protein extract 2label with Cy5
Mix labelled extracts
2DEseparation
Cy5
Typhoon™Variable Mode
Imager
Cy3
Cy2
DeCyder™ Differential AnalysisSoftware
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“How do I identify the proteins?”
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
8
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MS Protein Identification Types
• Peptide mass fingerprinting (PMF)
• Primary sequence analysis (MSMS)
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UV Laser λ 337 nmAnalyte + Matrix
MALDI-TOF-MS - 1
+ + +
++++
++ ++ +
+
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
9
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LaserPrecursor ions
Chargedfragments
LinearMode
Laser ReflectronMode
MALDI-TOF-MS - 2
Resolution
Sensitivity
Throughput
Sequencing Capability
Excellent
Excellent
Excellent
Poor
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Peptide Mass Fingerprinting
Sequence Coverage: 31%
Score: 129 (Score > 74, p<0.05)
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
10
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“But What if I Can’t Use 2D-Gels?”
• Low abundance proteins not visualised
• Resolution of target proteins unsatisfactory
• Membrane proteins
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Talk Summary
• Quantitative Proteomics Using 2D-Gels
• Proteomics using Multidimensional LC
• Protein Complex Analysis by Proteomics
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
11
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• Identification of molecules released locally or into the circulation by CRC cells could be exploited as:– - Diagnostic (non-invasive kit)– - Prognostic– - Therapeutic
In vivo
-Identify proteins differential expressed from the blood of normal and CRC subjects
Albumin54.31%
Immunoglobulin G16.61%
α1-Antitrypsin3.83%
α 2-Macroglobulin3.64%
Immunoglobulin A3.45%Transferrin3.32%
Haploglobin2.94%Immunoglobulin M1.98%
Other9.91%10%
α1-Acid glycoprotein1.25%
Complement C31.12%
Hemopexin1.05%
α2HS-Glycoprotein0.80%
α1-Antichymotrypsin0.58%
α-trypsin inhibitor0.58%
Gc-Globulin0.48%
Ceruloplasmin0.48%
Complement C40.45%
Fibronectin0.42%
Prealbumin (thyroxine-binding)0.32%
C1 Esterase inhibitor0.32%
α1B-Glycoprotein0.29%
β2-Glycoprotein I0.29%β2-Glycoprotein II
0.27%Complement C1
0.22%
Remaining1%
Clinically useful protein amounts vary by ten orders of magnitude
Human Plasma
Composition of Human Plasma
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Margin-bufferreservoirs Peristaltic
pump
Counter-flowreservoir
Separationchamber
7Electrode-buffer
reservoir
Electrodebufferpump
Sampleinlet ports
Main port
Counter-flow solution96-Channeltubing outlet
96-Well plate
96-Well plate
Electrodecompartment
Electrodecompartment
Running-bufferreservoir +pH 3 pH 10 -
+
+ -
-
Agilent 1100 HPLCOctopus™ Free-Flow Electrophoresis
96-well plateautosampler
96-well platefraction collector(s)
Columncompartment
Binary pumping system
UV diode-arraydetector
Fluorescencedetector
Solvent degassing system
2D-Liquid Chromatography
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
12
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4 12 20 28 36 44 52 60 68 76 84 92
0
10
20
30
40
50
60 0
Elu
tion
(% O
rgan
ic s
olve
nt)
Well number
0.2Intensity O.D. (215nm)
2
4
6
8
10
12
pH (
)
2D-LC of Human Plasma
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Fig[MS].9
Electrospray Ionization (ESI)
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
13
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Quadrupole Ion Trap (Tandem MS)
Ion Accumulation Precursor Ion Isolation Collision Induced Dissociation Mass Analysis
A. B. C. D. E.
Ion Accumulation Precursor Ion Isolation Collision Induced Dissociation Mass Analysis
A. B. C. D. E.
Resolution
Sensitivity
Throughput
Sequencing Capability
Poor
Good
Medium
Good
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m/z
Rel
ativ
e In
tens
ity %
y 7
b2 y 6
b3 y 5
b4 y 4
b5 y 3
b6 y 2
y 1b7
b ions contain theN-terminus of the peptide
y ions contain theC-terminus of the peptide
Fragmentation of Protonated Peptides
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
14
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Protein identification(ranked output)
m/z
Simulate MS/MS Spectra
MS/MS Spectrum
Pattern matchingIle-Asn-Val-Gln-Lys
Ala-Arg-Glu-Leu-Ile
Search database forPeptides of same mass
Cys-Arg-His-Trp
Ala-Ile-Thr-Ala-Leu-Leu
Ile-Asn-Val-Gln-Lys
Database Searching using MSMS Data
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4 12 20 28 36 44 52 60 68 76 84 92
0
10
20
30
40
50
60 0
Elu
tion
(% O
rgan
ic s
olve
nt)
Well number
0.02Intensity O.D. (215nm)
2
4
6
8
10
12
pH (
)1
3
1619
1815 11
12
1
10
92
8
4
145 6
7
1720
13
Proteins Identified from Human Plasma - 1
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
15
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1. α1-acid glycoprotein2. α1-anti-trypsin3. α1anti-chymotrypsin4. α1B glycoprotein5. Apolipoprotein AI6. Apolipoprotein AII7. Antithrombin III8. complement C4A/B9. ceruloplasmin10.Fetuin A
11. αFibrinogen12. Fibrinogen13. Fibrinogen gamma chain14. Haptoglobin15. Haptoglobin-216. Human serum albumin17. Immunoglobulin18. Kininogen19. Serotransferrin20. Transferrin
Proteins Identified from Human Plasma - 2
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0 1 2 3 4 5 6 7 8
0.00
0.05
0.10
0.15
0.20
Abso
rban
ce a
t 215
nm (
)
Retention Time (min)
RPHPLC Profiles of Fraction 43
Unadulterated PlasmaMulti-affinity bound
Multi-affinity unbound
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
16
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“This will test you! I’m studying membrane protein complexes with some subunits which may
not be in the database.”
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Talk Summary
• Quantitative Proteomics Using 2D Gels
• Proteomics using Multidimensional LC
• Protein Complex Analysis by Proteomics
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
17
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NADH:Ubiquinone oxidoreductase46 subunits, Mr > 106
Fearnley, I.M. et al, (2001) JBC 276, 38345-38348Carroll, J.G. et al, (2002) JBC 277, 50311-50317
Mitochondrial Complex 1
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1DE of Complex 1 and Subcomplex 1λ
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
18
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51 kDa49 kDa
42 kDa
75 kDa
30 kDa
24 kDaTYKYASHI
SGDH
B13GVRT
B18
PGIV
B9
KFYI
51 kDa
39 kDa
PDSW + B22
PGIV
B18
GVRTB13
SGDHPSST
B14
B8
MNLL
B9
KFYI
MWFEMLRQ
AQDQ
B17.2
SAES
B14.5b & B12
PFFD B17B16.6
B14.5aB15unknown
pH 3 pH 10 pH 6 pH 11
TricineSDS/PAGE
2D-Gel of Bovine Complex 1
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REFLECTRON
ELECTROSPRAYSOURCE
QUADRUPOLE 1
QUADRUPOLE 2 GAS COLLISION CELL
DETECTORPUSHERTOF
Q-Tof™ High Resolution MS-MS
Resolution
Sensitivity
Throughput
Sequencing Capability
Excellent
Excellent
Medium
Excellent
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
19
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100 200 300 400 500 600 700 800 900 1000 1100 1200 1300M/ z0
100
%
(185.98) Y K R L V T K (113.02)y Max
965.32y6864.30
y5603.72(M+2H) 2+
487.70a7 2+
281.11205.06y188.03
343.14b2
765.26y4
604.22652.21
y3766.26 865.30
947.32
966.32
967.33 1093.39y7 1152.17
(Asp-N digest)
Acetylated N-terminal Peptide of B14.7
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Homologue of N. crassa subunit 21.3b
B14.7 Nucleotide and Amino Acid Sequence
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
20
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Homologue of Human GRIM-19
B16.6 Sequence and Alignment
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Proteomics:
•Various protein chemical techniques
•Targeted and global studies
•Unique insights into complex systems
Andrew Clippingdale, LICRProteomics
September 20046th Melbourne Bioinformatics Course
21
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Joint ProteomicS LaboratoryLudwig Institute for Cancer Research and the Walter and Eliza Hall
Institute of Medical Research, Parkville, Victoria 3050
Richard SimpsonRobert Moritz
David Frecklington
MRC-Dunn Human Nutrition UnitWellcome Trust/Medical Research Council Building, Hills Road,
Cambridge CB2 2XY, UK
Ian FearnleyJoe Carroll
Acknowledgements