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EDUCATION SESSION
Overview of Proteomic Technologies
Mike DunnProfessor of Biomedical Proteomics
Proteome Research CentreUCD Conway Institute
Dublin, Ireland
Expression proteomicsDifferential display or discovery proteomics
Global analysis of changes in protein expression during abiological process or in disease
Cell mapping proteomicsInteractomics
Study of protein interactions
1. Protein-protein interactionsIdentify members of functional protein complexes
Pathway (e.g. signaling) analysisAnalysis of protein networks
2. Protein-small molecule interactionsProtein-drug binding
Proteomics
Analysis of complex mixtures of proteins
Differential analysis of multiple samples
Quantitation of proteins present in samples
Identification and characterisation ofproteins present in samples
Bioinformatics(identification, annotation, dissemination)
Two-dimensional gel electrophoresis(2-DE) of intact proteins
Tried and trusted technology
MS-based (gel-free) methodsShotgun LC-ESI-MS/MS of
total tryptic digest of proteinsQuantitation by stable isotope labelling
(e.g. SILAC, ICAT, iTRAQ)
Protein chipsIntact proteins
(e.g. SELDI-MS, protein, tissueand antibody arrays)
Choice of proteomics platformpI
MWt
High-resolution 2-DE is > 30 years old!
First dimension isoelectric focusing (IEF)Separation of proteins according to their charge (pI) under
denaturing conditions
Second dimension SDS-PAGESeparation of proteins according to their size (Mr) underdenaturing conditions
Protein separation and display: Two-dimensional
polyacrylamide gel electrophoresis (2-DE)
Still the method of choice for the majorityof differential protein expression
studies of disease
2-DE is currently the only technique thatcan be routinely applied for parallel quantitative
expression profiling of large sets of complexprotein mixtures such as whole cell
and tissue lysates(Goerg, Weiss and Dunn, Proteomics 2004, 4: 3665)
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pI
MrX 103
-still the method of choice for most proteomic projects
- well established method (IPG-IEF vs. SDS-PAGE)
- can separate 2,000 to 5,000 proteins on a single gel
-IPG-DALT gives highly reproducible 2-DE proteinprofiles
-proteins can be visualisedat high sensitivity
-computer analysis of differential protein expression
-interfaces with MS protein identification methods
Protein separation and display: Two-dimensionalpolyacrylamide gel electrophoresis (2-DE)
IEF (charge)
SDS-PAGE (size)
1. Sample preparation
2. Separation of proteins by 2-DE
3. Sensitive detection of the protein profile
(silver staining, fluorescent staining, DIGE)
4. Quantitative computer image analysis to detect
differentially expressed proteins
5. Protein identification
(Western immunoblotting, Edman degradration,amino acid compositional analysis, MALD-TOF MS,
ESI-MS/MS)
2-DE proteomics workflow
Sample preparation
No universal methodNeeds to be optimised for each sample type
General recommendations
Keep it simple to increase reproducibility
Minimise possibility of protein modifications
that can lead to artefactual spots on 2-DEDo not heat samples containing urea
Protein carbamylation by isocyanate ions results inmultiple spots (charge trains) on 2-DE
Proteolysis: Keep samples cold and
add protease inhibitors
Sample preparation
Body fluids(Serum, plasma, urine, CSF, BAL, saliva, tears etc)
May need to concentrate and remove salt (e.g. urine)Analyse directly after dilution with solubilisation buffer
Cell and tissue samplesUsually disrupted and solubilised in lysis buffer
SolubilisationDisrupt all non-covalently bound protein complexes and
aggregates into a solution of individual polypeptides
Chaotrope + Detergent + Reducing agent
(9.5 M urea, 4% NP-40, 1% DTT)
IEF with immobilised pH gradients (IPG)Wide range, medium range, narrow range
The first dimension
Potential to match IPG profile with thedistribution of sample protein pI values
Second dimension SDS-PAGELaemmli discontinuous Tris/glycine
buffer system usually used(15-250 kDa proteins)
Tris-tricine buffer system for betterseparation of smaller (3-20 kDa) proteins
Borate buffer system forhighly glycosylated proteins
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Body fluid: Human plasma(SWISS-2DPAGE: http://www.expasy.org/swiss-2dpage/) Body fluid: human urine
Mr
pI
Uromodulin
Michelle Downes, UCD Conway
Cells: Human microvascular endothelial cells
Ciara McManus: UCD Conway Institute
IPG 4-7 L
SDS-PAG
E
Tissue: Human heartIPG 3-10 NL
12%
SDS-P
AGE
Streaking ofbasic proteins
3 acidic/neutral 7 basic 10
2-DE of basic proteins
Reducing agentsRequired to disrupt protein inter- and
intra-molecular disulphide bonds
But DTT that is normally usedis protonated at high pH and migrates to
the anode during IEF
Results in re-oxidation of S-S bonds
Poor separations of basic proteins (pI > 7.5)due to streaking of spots
2-DE of basic proteinsSolution
Samples must be cup loaded at the anode
Replace DTT with HED (hydroxyethyldisulphide)DeStreak reagent (GE Amersham)
Oxidises cysteinyl groups to form mixed disulphideswhich prevent reformation of disulphide bonds
Less streaking and improved resolutionof basic proteins by 2-DE
(Prot - S
+ R- S - S - R Prot - S - S - R + R - S)
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2-DE of basic proteinsHuman heart proteins
Mr
pH 3-10 pH 6-11
Mr
In-gel rehydration Cup-loading at anode
with DeStreak
Good separation of
basic proteins
Streak due toproteins with pI 10,000 proteins
Dynamic range of protein abundance106for cells and tissue, 1010for body fluids
Need to study sub-proteomesZoom (narrow range) 2-D gels
Cellular, sub-cellular and protein fractionation
2-DE of membrane proteins
Alternative reagents for solubilisation
Chaotropes: 7 M urea, 2 M thiourea
Detergents: - Zwitterionic detergents (e.g. CHAPS)
- Linear sulphobetaines (SB3-10, ASB 14)
- Triton X-114 phase partitioning (Wissing et al, 2000)
- SDS pre-solubilisation and detergent exchange
Reducing agents: Tributyl phosphine, TCEP, DeStreak (Amersham)
Consider using alternative 2-D gel system for membrane proteins16-BAC/SDS-PAGE (Hartinger et al, 1996)CTAB/SDS-PAGE (Navarre et al, 2002)(Doubled) dSDS-PAGE (Rais et al, 2004)1-D SDS-PAGE (combine with LC-MS/MS analysis of gel bands;
GeLC-MS/MS)
16-BAC/SDS-PAGE
First dimension
Molecular weight separation in an acidic discontinuous PAGE systemStacking gel: pH 4.1; separating gel pH 2.1Cationic detergent: benzyldimethyl-n-hexadecylammonium chloride (BAC)
Second dimension
Molecular weight separation by standard SDS-PAGE
Proteins have slightly different migration properties in the two systems,allowing a two-dimensional separation
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Mitochondrial membrane proteins(S. cerevisiae)
57 proteins identified by LC-MS/MS
16-BAC/SDS-PAGE Problems associated with 2-DE
Protein solubility
Membrane proteins under-represented on2-D gels due to solubility problems
Proteomic coverage2,000 proteins separated by 2-DE
Sample may contain >10,000 proteins
Dynamic range of protein abundance106for cells and tissue, 1010for body fluids
Need to study sub-proteomesZoom (narrow range) 2-D gels
Cellular, sub-cellular and protein fractionation
2-DE can only separate 2,000 proteins per gel
Increased separation distance40 x 40 cm gels using CA-IEF (Klose 1999)
(5,000 proteins)
IPG-IEF strips up to 24 cm are available24 x 21 cm format
(2 to 3,000 proteins)
Use of overlapping narrow range IPGsZoom gels
Virtual increase in separation area
3-10NL
3.5-4.5L 4.5-5.5L 5.5-6.7L
5-6L4-5L
4-7L 6-9L
Zoom gels(narrow range IPGs)
Increased proteomiccoverage
6-9L
pI 4.0 5.0 6.0 9.0Mr
42.0
27.2
18.7
14.7
288 1325 568
Total number of spots = 2178
Mr
pI 3 10
42.0
27.2
18.7
14.7
Number of
spots = 1141
Zoom gels(narrow range IPGs)
Increased proteomiccoverage
Mr
pI 3 10 4 7 5.5 6.7
42.0
27.2
18.7
14.7
27.227.2
27.2
A B C
1 1 2 1 2 3
EH or Hsp27 1 EH & 2 Hsp27 1& 2 EH, 3 Hsp27
5.81 5.78 5.81 5.81 5.83 5.85pI
Westbrook et al, Electrophoresis 2001 22: 2865
Separation of Enoyl-CoA-hydratase and Hsp 27
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Problems associated with 2-DE
Protein solubility
Membrane proteins under-represented on2-D gels due to solubility problems
Proteomic coverage2,000 proteins separated by 2-DE
Sample may contain >10,000 proteins
Dynamic range of protein abundance106for cells and tissue, 1010for body fluids
Need to study sub-proteomesZoom (narrow range) 2-D gels
Cellular, sub-cellular and protein fractionation
Protein detection/visualisationDynamic range 102 to 104
Organic dyes Silver Radioactivity
CoomassieBrilliant Blue(CBB) R-250
(100 ng)
Colloidal CBBG-250 (10 ng)
alkaline silver diamineor acidic silver nitrate
(1 ng)
Fluorescent stains
- SYPRO Ruby- SYPRO Red
- SYPRO Orange- Cy2, 3, 5 (pre-electrophoretic)
(1 ng)
(Very high
sensitivity)
Sensitivity
Dynamic range
Linearity
Compatibility with MS
Protein detection/visualisation
Current limit of detection around 1 ng
Can detect proteins present in total cell extractat around 10,000 copies/cell
Most regulatory proteins < 10,000 copies/cell
But can investigate downstream effectsof their action
Sub-proteomics may allow proteomic analysisof low copy number proteins
Problems associated with 2-DE
Protein solubilityMembrane proteins under-represented on
2-D gels due to solubility problems
Proteomic coverage2,000 proteins separated by 2-DE
Sample may contain >10,000 proteins
Dynamic range of protein abundance106for cells and tissue, 1010for body fluids
Need to study sub-proteomesZoom (narrow range) 2-D gels
Cellular, sub-cellular and protein fractionation
Sample fractionation and enrichment
Cell and sub-cellular fractionation
Immuno-isolation
Electromigration analysis (e.g. FFE)
Flow cytometry
Classical density gradients (organelles)
Sequential/selective extraction
Laser capture microdissection
Selective solubilisation of membrane proteins(Triton X-114 phase separation)
At low concentration Triton X-114 binds tothe cell membrane by partitioning into thelipid bilayer
Membrane bilayer is disrupted and lysed asdetergent concentration increases abovecritical micelle concentration (CMC)
At CMC lipid-protein-detergent mixedmicelles are produced
A further increase in detergent concentrationwill result in a heterogeneous complex ofdetergent, lipid-detergent and protein-detergent micelle formations
Triton X-114 mimic's the lipid bilayerenvironment incorporating the disassociatedprotein into micelle formation
Micelles formed are analogous to the bilayerof the biological membrane
Partitioning of membrane bound and solubleproteins into detergent and aqueous phases
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250 mg of tissue ground in liquid nitrogen
10% Triton X-114 + cold PBS
Overnight at 4C
37C for 30min
30min spin @ 5000g
30min spin @ 20,000g
AQ DT
10% Triton X-114 Ice cold PBS
37C for 15min- spin 37C for 15min- spin
x3
Acetone precipitation- Rapigest
ME
TH
OD
ME
THO
D
Membrane and mitochondrial proteindistribution (human heart) (LC-MS/MS)
AQ Phase
20%
80%
Membrane Non-Membrane
DT Phase
62%
38%
Membrane Non-membrane
AQ Phase
14%
86%
Mitochondrial proteins Non-mitochondrial proteins
DT Phase
50%
50%
Mitochondrial proteins Non-mitochondrial proteins
McManus et al, unpublished
Laser capture microdissection Laser microdissection of human heart toobtain cardiac myocytes and blood vessels
2-DE protein profile
Mrx 103
220
97
66
45
30
20.1
14.3
IPG 3-10 NL IPG 3-10 NL
Cardiac Myocytes Blood Vessels
1
2
3
5
4
1 = cardiac tropomyosin; 2 = cardiac light chain I; 3 = cardiac light chain II;4 = smooth muscle transgelin; 5 = smooth muscle tropomyosin
Protein fractionation and enrichment
Electrophoresis in solution(e.g. IEF, FFE, MCE)
Chromatography(IEX, SEC, AC)
Immunoprecipitation
Isolation of interacting protein complexesInteractomics
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Anderson and Anderson, Molec. Cell. Proteomics 2002 1: 845
Interestingproteins
10 proteins 12 proteins
Human plasma
Increasing proteomic coverage
Affinity depletion of albumin, Ig andother major plasma proteins
Fractionation of plasma proteins(LC, IEF, etc.)
Analysis (2-DE or MS/MS platforms) ofindividual fractions
1D SDS PAGE Analysis of Depleted SerumAgilent Multiple Affinity Removal System (MARS6)
Jennifer Byrne: UCD Conway Institute
205
11697
84
66
5545
36
29
24
20
14. 2
IgG Light chain
HSA/ Antitrypsin/ Haptoglobin
Haptoglobin
IgG Heavy chain/ Antitrypsin
HSA/ IgATransferrin
Crude
SerumBound Depleted
serum
-1-antitrypsin
Albumin
IgGIgA
-1-antitrypsinTransferrinHaptoglobin
(85% of total protein)
pH 4 7
Albumin
Transferrin
IgGheavy
chain
IgGlight
chain
Haptoglobin
Antitrypsin
IgA
50g of crude human serum run on pH 4-7 IPG strips.
Jennifer Byrne: UCD Conway Institute
pH 4 7
50g of depleted human serum run on pH 4-7 IPG strips. Serum was depleted using the
Agilent Multiple Affinity Removal System (MARS6), a polyclonal antibody-based depletion
system that removes the 6 most highly abundant proteins.
Jennifer Byrne: UCD Conway Institute
2-DE Analysis of Depleted Serum
Undepleted
Depleted
Overlay
DeCyder analysis:
850 spots in undepleted serum1527 spots in depleted serum76% increase in spot number660 additional low abundance spots
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Serum depletion
Now a variety of columns and spin cartridges available, e.g.
Agilent:Human MARS 6,7, 14; Mouse 3
Sigma-Aldrich:Human Proteoprep 20
Beckman Coulter:Human IgY-12,; Rodent IgY-7
670 L sample/chamberTotal: 1-2 mg protein
Zuo & Speicher (2002) Proteomics 2: 58
Human serum: Increasing proteomic coverageFractionation by solution phase IEF
(Invitrogen ZOOM IEF Fractionator)
Fractions of
human plasmaon 2-DE
zoomnarrow pH range
IPG gels
Unfractionated
pH 3-4.6 / IPG 3-4.5 pH 4.6-5.4 / IPG 4-5 pH 4.6-5.4 / IPG 5-6
IPG based IEF OFFGEL fractionation
with 0.1 0.6 pH resolution
Fractionation of proteins or peptides
In-solution fraction recovery foreasy transfer to 2-DE or LC-MS
Two power supplies allow simultaneousfractionation of two sample sets withbroad differences in concentration
Up to 16 samples fractionated atthe same time
g to mg load capacity
Agilent 3100 OFFGEL Fractionator
Michel, P. E., Reymond F. Arnaud I. L., Josserand J., Girault H. H. and Rossier J. S. (2003)Protein fractionation in a multicompartment device using Off-Gel isoelectric focusing.Electrophoresis 24, 3-11.
(a)
(b)
(c)
(d)
Agilent 3100 OFFGEL Fractionator Agilent 3100 OFFGEL Fractionator
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Computer analysis
Quantitative computer image analysis to detectdifferentially expressed proteins
Commercial 2-DE analysis softwarerunning on desktop workstations
(PC, Mac, Unix)
Progenesis (Non-linear Dynamics)DeCyder (Amersham)
PDQuest (Bio-Rad)Melanie / ImageMaster (GeneBio, GE Healthcare)
Kepler (LSB)
Z3 (Compugen)ProteomWeaver (Definiens)
Major bottleneck in proteomic analysis
Computer analysisMajor bottleneck in proteomic analysis
filtering,
spot detection quantitative analysis ofdetected proteins
gel matching
Solubilise
Cy3 label
Solubilise
Cy5 label
Combine
for 2-DE
Image
fluorescence
Differential
quantitation
Cy3 Cy5
2-D Fluorescence Differential In-Gel Electrophoresis(ETTAN 2-D DIGE: GE Healthcare)
Control Disease
Typhoon
fluorimager
Overlay of images
But still need to compare multiple pairs of samples run on
multiple 2-D gels: problems of inter-gel normalisation
Solubilise
Cy3 label
Solubilise
Cy5 label
Combine
for 2-DE
Image
fluorescence
Differential
quantitation
Cy3 Cy5
Control Disease
Standard pool
Solubilise
Cy2 label
Cy2
2-D Fluorescence Differential In-Gel Electrophoresis(ETTAN 2-D DIGE: GE Healthcare)
Use of Cy2-labelled pooled standard to
normalise Cy3 and Cy5-labelled spotsbetween gels
Not normalised to standard
GE Healthcare
Normalised to standard
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Altered left ventricular proteins in dilated cardiomyopathy
Significant alterations in abundance of 93 proteins in DCM
More proteins decreased (80) than increased (13) in abundance
Protein identification
Mass spectrometry
- Western immunoblotting- Protein sequencing (Edman degradation)
- Amino acid compositional analysis
Peptide mass fingerprinting
by MALDI-MS
Partial amino acidsequencing by
ESI-MS/MS
orMALDI-MS/MS
high sensitivity & throughput
automation (spot cutting,
digestion, target spotting)
quantitation
de novosequencing
characterisation of post-
translational modifications
(phosphorylation,
glycosylation,etc)
bioinformatics
data handling
Peptide mass fingerprinting by MALDI-MS
Nucleotide/protein
sequencedatabase
Excise spotand
digest withtrypsin
Digestdatabasein silico
with trypsin
Massspectrum
byMALDI-MS
Theoreticalmass
spectrum
Identityor
Homology
Peptide mass fingerprinting by MALDI-MS
Peptide mass fingerprinting by MALDI-MS Peptide mass fingerprinting by MALDI-MS
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Peptide mass fingerprinting by MALDI-MS Peptide sequencing by ESI-MS/MS (CID)
Peptide sequencing by ESI-MS/MS (CID) Peptide sequencing by ESI-MS/MS (CID)
Two-dimensional electrophoresis (2-DE)of intact proteins
Tried and trusted technology
MS-based (gel-free) methodsShotgun LC-ESI-MS/MS oftotal tryptic digest of proteins
Quantitation by stable isotope labelling(e.g. ICAT, iTRAQ, SILAC)
Protein chipsIntact proteins
(e.g. SELDI-MS, protein, tissueand antibody arrays)
Choice of proteomics platformpI
MWt
Gel-free Proteomics
Multi-dimensional protein identification technology(MudPIT)(Link et al, Nature Biotechnology 1999, 17: 676)
Strong cation exchange (SCX) LC
coupled either on- or off-line withRPLC-MS/MS
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Alternatives to SCX separation
SDS-PAGE: GeLC-MS/MS
SDS-PAGE of sample (usually mini-gel format)Slice unstained gel into 20-30 slices
Digest in situ with trypsinEach digest analysis by RP-LC-MS/MS
Provides MWt information on sample proteins
Slice and dice
J Prot Res 2006, 5: 2071
Alternatives to SCX separation
OffGel Fractionator
24 cm pH 3-10 IPG with 24 wells
pI can be used as a parameter inpeptide/protein identification
Immunodepleted human serum
24 Offgel fractions
versus50 SCX fractions
OGE identified:2x more proteins3x more peptides
Agilent: Poster at 2006 BSPR/EBI Meeting (Hinxton, UK)
Analysis of single mouse brain2 x 30 SCX Fractions
60 RPLC-MS/MS runs
Relative abundance of proteins in the mouse brain:Good correlation between the protein
concentration (g/uL) and thenumber of LC-MS/MS spectra (spectrum count)
used to identify each protein
Very challenging to analyse large numbers of samples
A quantitative method is required for differential expression studies:e.g. stable isotope coding (e.g. ICAT, iTRAQ)
Analysis of adult mouse ventricle4 x Sub-cellular fractions
MudPIT: On-line SCX-RP-LC-MS/MS5 repeat runs of each fraction
J Am Soc Mass Spectrom 2005, 16, 12071220
Challenging to analyse large numbers of samplesQuantitative method is required for differential
expression studies:Stable isotope coding (e.g. ICAT, iTRAQ)
Julka S and Regnier FE (2005)Briefings in Functional Genomics and Proteomics 4: 158
In vivolabelling methodsSILAC
In vitrolabelling methodsICAT (proteins labelled -> Cys peptides analysed)
16O/18O (labelled during proteolysis)iTRAQ (tryptic peptides labelled)
SILAC(Stable Isotope Labeling with Amino acids in Cell culture)
Mol Cell Proteomics. 2002 May;1(5):376-86
(Ong et al, Mol Cell Proteomics 2002, 1: 376)
e.g. L-leucine and deuterated L-leucine
SILAC is only applicable to cultured cells
and cannot be used fortissue and body fluid samples
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Isotope-coded affinity tag (ICAT) reagents(Gygi et al, Nature Biotechnology 1999, 17: 994)
Isotope-coded affinity tag (ICAT strategy)(Gygi et al, Nature Biotechnology 1999, 17: 994)
Molecular & Cellular Proteomics 2:299314, 2003
Original deuterated ICAT reagent too large and interfered with MS fragmentation
Cleavable ICAT reagent developed
Iodoacetamide and biotin groups separated by spacer containing nine13C atomsBiotin tag removed from coded Cys peptides by acid hyrolysis
iTRAQ Reagents
Globally code N-termini and Lys residues of all peptides in
a tryptic digest through acylation with N-methyl hydroxysuccinamide esters of N-methyl piperazines
4 iTRAQ reagents, so can multiplexup to 4 different samples
(8-plex iTRAQ reagents now available)
Label-free methods for quantitative MS
Stable isotope labelling is expensive
Label-free methods:
1. Ion intensity: Mass spectral peak intensities ofpeptide ions correlate well with proteinabundances in complex samples
2. Spectral counting: Compares the number of
MS/MS spectra assigned to each protein and thiscorrelates well with protein abundances incomplex samples
Two-dimensional electrophoresis (2-DE)of intact proteins
Tried and trusted technology
MS-based (gel-free) methodsShotgun LC-ESI-MS/MS ofTotal tryptic digest of proteins
Quantitation by stable isotope labelling(e.g. ICAT, iTRAQ, SILAC)
Protein chipsIntact proteins
(e.g. SELDI-MS, protein, tissueand antibody arrays)
Choice of proteomics platformpI
MWt
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SELDI-MS (Ciphergen)(Merchant & Weinberger, Electrophoresis 2000, 21: 1164)
Good for liquid samples such as body fluidsFavours proteins and peptides
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Protein arrays
High density protein arrays using cDNA expressionlibraries
Applications:1. Protein-antibody interaction analysis
Characterisation of binding specificity of antibodiesScreening serum or plasma for autoantibodies
2. Protein-protein interaction analysis
Network analysis3. Protein-chemical compound interaction analysis
Drug development4. Enzyme-substrate activity analysis
Phosphatases, peroxidases, galactosidases,restriction enzymes, protein kinases
Leuking, Cahill and Muellner, DDT 2005, 10: 789
Protein arrays
Protein arrays
Profiling of the autoantibody repertoireof plasma from patients with dilated
cardiomyopathy (DCM) against a humanprotein array consisting of 37,200
redundant, recombinant humanproteins