Analytical methods in Proteomics - Helsinki
Transcript of Analytical methods in Proteomics - Helsinki
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Analytical methods in Proteomics
Salerno, July 2012
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Meilahti Clinical Proteomics Core Facility
Biomedicum Helsinki and Haartman Institute, 00014 University of Helsinki, Finland
E-Mail: [email protected]
(http://research.med.helsinki.fi/corefacilities/proteinchem)
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ProtMet.netProtMet.net
- Proteomic services from Bedside-to-Bench- High-throughput analysis of Clinical Samples(CSF, Saliva, Urine, Blood, Ascites, Tears etc.)
- Validation of Clinical Samples- Validation of Clinical Biomarkers
- Basic Proteomics Analyses (1-2D-GE, 1-2D-LC)- Ion Mobility Structural Analyses
- Array-based epitope mapping (Pep/Prot-Arrays)- Pep-Array synthesis - Imaging Mass Spectrometry (IMS) from tissue to cells- Glycoproteomics- Glycopeptidomics- LC-MS/MS2 analysis of carbohydrates- N-glycopeptide spectra analysis- Core fucosylation analysis
ServicesServicesServicesServices
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Over 1200 Researchers in only Medical Research(Cancer, Genetics, Developmental Medicine, Neuroscience etc.)
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The Medical Faculty
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Proteomics
What is it all about??
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2001: Human Genome Project Reveals
3,000,000,000 base pair nucleotides
= only about 25,000 genes
=
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Only 0.1% of each’s persons DNA differs from any other person
=
And that …
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The study of the Proteins expressed by a Genome
= Proteome
= Proteins
So… what makes the Difference?
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same Genome - different Proteome
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The main objectives today for clinical and general Proteomics:
- Quantification of all the proteins expressed in a cell or tissue proteome, body fluids e.g. blood, CSF etc. Searching for Biomarkers!
- Functional study of thousands of proteins in parallel, which protein is in contact to another protein and where? Searching for functionality!
For quantification purposes, standard method is 2DE electrophoresis or MudPIT separation followed by MS identification
For protein function studies, microarray based assays are used to study protein-protein and protein-ligand interactions
Proteomic Research today
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The Post-Genome ProjectWhether The Human Proteome Will Be Successfully Mapped InThree Years Depends On How You Define "Proteome"By Karen Hopkin | August 17, 2001 | 0
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Despite manybreakthroughsProteomics has nottranslated yet topatient care
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How can we make Proteomics more suitable to the “real” life?
The technology...
2D gel electrophoresis2D liquid chromatography
Micro arrays
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We need a technology to find changes in Proteome
Administration of a drug known to bind to an orphan receptor
• Changes in expression level of 23 proteins
A protein Array
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An example
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Two-dimensional gel electrophoresis (2D) could do it?
1st dimension, IEF, Proteins are separatedaccording to their isoelectric point (IP) 2nd dimension, SDS-PAGE, Proteins are separated according to their molecular mass Efficient: More than a thousand proteins resolved in E-Coli cell lysates and ~8000 in brain lysates
pH 10
SDS-
PAG
E
pH 3
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1st Dimension - Isoelectric Focusing
pH4 pH7
+ -+
pH5.5neutral
pI - isoelectric point
ready made Gel-strips
gelsurface
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2DEMw
2nd Dimension - Isoelectric Focusing
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pI 6.94.1
Mr(kDa)
200
15
About 2000proteins
Protein Fingerprint: 2-DE
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CyDye DIGE Fluor dyesMinimal labelling dyes
Label 50 µg of protein
3 colors: Cy™2, Cy3, Cy5
MW matched (~450Da)
Charge matched (positive)
Label -amino group of lysine
Sensitivity - 0.025 ng
Linear dynamic range over 4 orders of magnitude
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Ettan™ DIGE systemAchieving accurate quantitative data
Protein extract 1label with Cy3
Pooled internalstandard label with Cy™2
Protein extract 2label with Cy5
Mix labelled extracts
2-DEseparation
Cy5
Typhoon™Variable Mode Imager
Cy3
Cy2
DeCyder™ Differential AnalysisSoftware
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Overlay of normal and patient protein samples
Normal control = CyTM3 labelled - Blue
Patient A sample = Cy5 Labelled - Red
Increased abundance
Equal abundance
Reduced abundance
EttanTM DiGE the quantitative approach to do Proteomics
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2D Databases exist!
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The simple way to test “real”Proteomics?
An example from the clinics…
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Colorectal Crypt - Physiology and Transformation
Stem cells are located in the lower crypt poles, colonocytes are migrating to the surface of the crypt
Continuelly replacement in the toxic and mechanically stressing environment of the gut
Hyperproliferation is believed to precede adenoma formation
Loss of APC function leads to deregulated crypt homeostasis and is thought to be the initiating event in adenoma formation
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Correlation of Histological Progression and MolecularChanges in Colorectal Cancer
Normal mucosa
Aberrant crypt foci
Early adenoma
Late adenoma
Invasive carcinoma
Metastasis
APC, -catenin mutation
K-ras mutation
18q loss, p53 mutation
Nm23 mut.
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Samples
Normal
Polyp
Carcinoma
Liver metastasis
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Tissue microdissection
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Why Tissue Microdissection?
Normal Tissue
Tumor Tissue
You would like to isolate only the targeted diseased tissue
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Laser-based microdissection:
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Laser Capture Microdissection (Arcturus Autopix)
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Capturing of wanted tissue section tothe slide
Slide before capture
Slide after capture Cap with the selected tissue
Cap
*
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MALDI MS analysis directly from the tissuecaptured on the cap membrane
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Mass spectrometrical identification Statistics
NP
T M1st Dimension
2nd Dimension PC based matchingSample enrichment/preparation
2-DE Algorithm
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N P T M N P T M
N=26 N=46
Deviating Proteins (n=112)Identification of 72
Controls: normal liver tissueHCT116 and Lovo cell lines
benign benignmaligne maligne
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PrincipalComponent
Analysis(t1,t2,t3)
normalmetastasis
tumor
polyp
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The left gel segment (a) is zoomed from the normal mucosa,
gel b represents the patients polyp and
gel c is the corresponding segment of the same patients adenocarcinoma
a b c
CR174N CR173P CR172T
Intra-individual expression differences of Cytokeratin 20 in patient 14.
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gel reservoir:25x32x0.3/0.5 mm PMMA, silica
water coolinggel reservoir
electrodes
sample inletbuffer reservoir
standard
real sample
Running time 10 minutes
Micro gel devices
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buffer reservoir
sample loading
A
30 mm
25 mm
gel
11 mm
15 mm
o-ring
C DB
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The compress system
Automated 2D devices
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Rf
3-10 pH gradientRf values (%)* pI position errors(%)*
STDV 6,1 STDV 2,5
max 15 max 6
min 0,8 min 0,6* comparison of 3 gels
Repeatability of 2-DE runs2-D map of IEF standards
2-DE separation completed in approx. 80 min
Limit of detection is approx. 65 ng
37 m
m
25 mm
Running time 20-30 minutes
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• Performance
Native IEF and native PAGE
5 variants of hemoglobin
pH 6.7 -7.7
Native IEF and SDS-PAGE
standard IEF proteins
pH 3-10
Denatured IEF and SDS-PAGE
GFAP protein variants expression differences
in control and Alzheimer diseased patients
pH 4-6
HbA1c
HbA
HbF
HbS
HbA2
control AD
Examples for the Clinics
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2D-PAGE Direct In-situ Digest
Basic (+) Acidic (-)
#7
100 fmolrunning the gel- staining each spot of interest ( )- excise- in-gel digestion
PEPTIDE ANALYSIS
Trypsin digest
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Prespotted AnchorChip targetsdedicated for Clinical Proteomics
> One calibrant, four matrix spots for samples
> 10-100 fold increased sensitivity, in situ sample purification
> no cross contamination
> no memory effects
> Easy storing and archiving of targets
> Re-visiting of samples
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MALDI TOF/TOF
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MALDI-TOF-MS
High Sample Throughput for thePost-Genomic Era
The TWISTER
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Typical mass spectrum from a protein band trypsin digest
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1 RALRRAPALA AVPGGKPILC PRRTTAQLGP RRNPAWSLQA GRLFSTQTAE51 DKEEPLHSII SSTESVQGST SKHEFQAETK KLLDIVARSL YSEKEVFIRE101 LISNASDALE KLRHKLVSDG QALPEMEIHL QTNAEKGTIT IQDTGIGMTQ151 EELVSNLGTI ARSGSKAFLD ALQNQAEASS KIIGQFGVGF YSAFMVADRV201 EVYSRSAAPG SLGYQWLSDG SGVFEIAEAS GVRTGTKIII HLKSDCKEFS 251 SEARVRDVVT KYSNFVSFPL YLNGRRMNTL QAIWMMDPKD VGEWQHEEFY 301 RYVAQAHDKP RYTLHYKTDA PLNIRSIFYV PDMKPSMFDV SRELGSSVAL351 YSRKVLIQTK ATDILPKWLR FIRGVVDSED IPLNLSRELL QESALIRKLR401 DVLQQRLIKF FIDQSKKDAE KYAKFFEDYG LFMREGIVTA TEQEVKEDIA451 KLLRYESSAL PSGQLTSLSE YASRMRAGTR NIYYLCAPNR HLAEHSPYYE501 AMKKKDTEVL FCFEQFDELT LLHLREFDKK KLISVETDIV VDHYKEEKFE551 DRSPAAECLS EKETEELMAW MRNVLGSRVT NVKVTLRLDT HPAMVTVLEM601 GAARHFLRMQ QLAKTQEERA QLLQPTLEIN PRHALIKKLN HCAQASLAWL651 SCWWIRYTRT P
Number 1 match: tumor necrosis factor type 1 receptor associated protein TRAP-1 (Mr): 76030.27
Automated Database Search (MASCOT)
Total coverage: 33.4%
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Even a single peptide is enough for Protein identification!
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MALDI MS TOF/TOF or Quadrupole MS TOF/TOF
MS-MS
Fragmentation of a single peptide inthe Mass Spectrometer
>>>> Database search
>>>> Identification of the whole protein
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Number 1 match: tumor necrosis factor type 1 receptor associated protein TRAP-1 (Mr): 76030.27
Automated Database Search (MASCOT)
Sequence successfully identified
1 RALRRAPALA AVPGGKPILC PRRTTAQLGP RRNPAWSLQA GRLFSTQTAE51 DKEEPLHSII SSTESVQGST SKHEFQAETK KLLDIVARSL YSEKEVFIRE101 LISNASDALE KLRHKLVSDG QALPEMEIHL QTNAEKGTIT IQDTGIGMTQ151 EELVSNLGTI ARSGSKAFLD ALQNQAEASS KIIGQFGVGF YSAFMVADRV201 EVYSRSAAPG SLGYQWLSDG SGVFEIAEAS GVRTGTKIII HLKSDCKEFS 251 SEARVRDVVT KYSNFVSFPL YLNGRRMNTL QAIWMMDPKD VGEWQHEEFY 301 RYVAQAHDKP RYTLHYKTDA PLNIRSIFYV PDMKPSMFDV SRELGSSVAL351 YSRKVLIQTK ATDILPKWLR FIRGVVDSED IPLNLSRELL QESALIRKLR401 DVLQQRLIKF FIDQSKKDAE KYAKFFEDYG LFMREGIVTA TEQEVKEDIA451 KLLRYESSAL PSGQLTSLSE YASRMRAGTR NIYYLCAPNR HLAEHSPYYE501 AMKKKDTEVL FCFEQFDELT LLHLREFDKK KLISVETDIV VDHYKEEKFE551 DRSPAAECLS EKETEELMAW MRNVLGSRVT NVKVTLRLDT HPAMVTVLEM601 GAARHFLRMQ QLAKTQEERA QLLQPTLEIN PRHALIKKLN HCAQASLAWL651 SCWWIRYTRT P
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Applications
Top-Down UPLC-ETD sequencing of Proteins
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Ubquitin
Myoglobin
Calbindin
3.5µm Symmetry 300 C4
(75µm x 100mm)
3 Protein Mixture: Ubquitin (5µM), Myoglobin (10µM) and Calbindin (20µM)
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Normal Protein MS
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Ubquitin (5µM) MS
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Intact Tandem MS of Bovine UbquitinETD of m/z 714, [M+12H] 12+
Intact Tandem MS of Bovine UbquitinETD of m/z 714, [M+12H] 12+
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