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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