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Quantitative proteomics Quantitative proteomics Peking Union Medical College Chinese Academy of Medical Sciences Wei Sun [email protected]

Quantitative proteomics

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Quantitative proteomics. Peking Union Medical College Chinese Academy of Medical Sciences Wei Sun [email protected]. Content. 1.Introduction 2. MS-based methods 3. Gel-based methods. Petterson SD, et al. Nat Genetics, 2003, 33, 311-23. - PowerPoint PPT Presentation

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Page 1: Quantitative proteomics

Quantitative proteomicsQuantitative proteomics

Peking Union Medical College

Chinese Academy of Medical Sciences

Wei Sun

[email protected]

Page 2: Quantitative proteomics

ContentContent

1.Introduction

2. MS-based methods

3. Gel-based methods

Page 3: Quantitative proteomics

Petterson SD, et al. Nat Genetics, 2003, 33, 311-23

Page 4: Quantitative proteomics

Petterson SD, et al. Nat Genetics, 2003, 33, 311-23

Page 5: Quantitative proteomics

Expression ProteomicsExpression ProteomicsExpression proteomics:quality and quantity

of the proteins expressed of the cell.Technology:

1.Isolation: SDS-PAGE gel, HPLC (high performance liquid chromatography), CE (capillary electrophoresis)

2.Identification: mass spectrometry

3.Quantitation: ICAT, DIGE

Page 6: Quantitative proteomics

Function ProteomicsFunction Proteomics

Function proteomics: the function of the proteins, mainly proteins interaction.

Technology:

1.yeast two hybrid

2.phage display

3.TAP(tandem affinity purification)

Page 7: Quantitative proteomics

Petterson SD, et al. Nat Genetics, 2003, 33, 311-23

Page 8: Quantitative proteomics

IntroductionIntroduction1. Quantitation proteomics:

The global analysis of protein expression, a complementary method to study steady-state gene expression and perturbation-induced changes.

Gygi,S.P,et al. Nat Biotech, 1999, 17, 994-9

Page 9: Quantitative proteomics

The measurement of the celluar response The measurement of the celluar response to external perturbations at the mRNA to external perturbations at the mRNA and protein level are complementaryand protein level are complementary

Page 10: Quantitative proteomics

Ideker T, et al. Science,2001,292,929-9346200-997-289

Page 11: Quantitative proteomics

Applications of Quantitative ProteomicsApplications of Quantitative Proteomics

Indentify differenial expressed protein in different states

Detect alternation in protein post-translational modification

Protein complex characterizationProtein-protein interactions

Page 12: Quantitative proteomics

Quantitative proteomics analysis of yeast Quantitative proteomics analysis of yeast grown in ethanol versus galactosegrown in ethanol versus galactose

Gygi et al. Nature Biotech, 1999, 17:994-9

Page 13: Quantitative proteomics

Gygi et al. Nature Biotech, 1999, 17:994-9

Page 14: Quantitative proteomics

Quantitative proteomic analysis of Myc oncoprotein function

Shiio Y, EMBO, 2002,21,5088-96

Page 15: Quantitative proteomics

Characterization of yeast RNA polymerase II transcription preinitiation complex

Microsomal proteins: pharmacologically induced differentiation in human myeloid leukemia

Protein expression between control and camptothecin-treated mouse cortical neurons

ApplicationApplication

Page 16: Quantitative proteomics

MS-based methodsMS-based methods

1.Separation: 2D-LC/MS/MS (SCX-RP)

2. Identification: mass spectrometry and database searching algorithm

3. Label: chemical probes

Page 17: Quantitative proteomics

MS-based methodsMS-based methods

Yates JR, et al. Nat Biotech, 2001, 19,242-7

Page 18: Quantitative proteomics

MS-based quantitationMS-based quantitation

Page 19: Quantitative proteomics
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Chemical probesChemical probes

Which isotope should be used?

What is the purity of the labeling reagent?

How many isotope labeled residues will be present in each peptide?

Will the labeling tag remain intact during peptide ion fragmentation?

Page 24: Quantitative proteomics

Isotope-coded affinity tags (ICAT)

Gygi,S.P.,et al. Nat Biotech, 1999, 17, 994-9

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Page 26: Quantitative proteomics

AdvantagesAdvantages 1. The method is compatible with any amount of

protein harvested from bodily fluids, cells or tissues under any growth conditions.

2. The alkylation reaction is highly specific and occurs in the presence of salts, detergents, and stabilizers (e.g. SDS, urea, guanidine-HCl).

3. The complexity of the peptide mixture is reduced by isolating only cysteine-containing peptides.

4. The ICAT strategy permits almost any type of biochemical, immunological, or physical fractionization, which makes it compatible with the analysis of low- abundance proteins.

Gygi,S.P.,et al. Nat Biotech, 1999, 17, 994-9

Page 27: Quantitative proteomics

DisadvantagesDisadvantages 1. The size of the ICAT label (~500 Da) is a large

modification that remains on each peptide throughout the MS analysis. This can complicate the database searching algorithms, especially for small peptides (<7 amino acids).

2. The elution separation of light and heavy isotopes. 3. The method fails for proteins that contain no cysteines.

Only a small percentage of proteins are cysteine-free (8% in yeast).

4. The avidin columns used for the affinity separation of the biotin labeled peptides can present challenges, including nonspecific binding, irreversible binding and low capacity.

5. Label efficiency is relative low. (80%) 6. The cysteine-based ICAT tags would not yield

information on changes in the proteome based on post-translational modifications.

Gygi,S.P.,et al. Nat Biotech, 1999, 17, 994-9

Page 28: Quantitative proteomics

Solution(1)Solution(1) 1. The size of the ICAT label (~500 Da) is a large

modification that remains on each peptide throughout the MS analysis. This can complicate the database searching algorithms, especially for small peptides (<7 amino acids).

2. The elution separation of light and heavy isotopes. 3. The method fails for proteins that contain no cysteines.

Only a small percentage of proteins are cysteine-free (8% in yeast).

4. The avidin columns used for the affinity separation of the biotin labeled peptides can present challenges, including nonspecific binding, irreversible binding and low capacity.

5. Label efficiency is relative low. (80%) 6. The cysteine-based ICAT tags would not yield

information on changes in the proteome based on post-translational modifications.

Page 29: Quantitative proteomics

Solid-phase isotope taggingSolid-phase isotope tagging

Aebersold R, et al. Nat Biotech, 2002, 19,512-5

Page 30: Quantitative proteomics

Aebersold R, et al. Nat Biotech, 2002, 19,512-5

Page 31: Quantitative proteomics

Acid-labile isotope codedextractants (ALICE)

Wang JH, et al. Anal Chem, 2002,74,4969-79

Page 32: Quantitative proteomics

Wang JH, et al. Anal Chem, 2002,74,4969-79

Page 33: Quantitative proteomics
Page 34: Quantitative proteomics

Solution(2)Solution(2) 1. The size of the ICAT label (~500 Da) is a large

modification that remains on each peptide throughout the MS analysis. This can complicate the database searching algorithms, especially for small peptides (<7 amino acids).

2. The elution separation of light and heavy isotopes. 3. The method fails for proteins that contain no cysteines.

Only a small percentage of proteins are cysteine-free (8% in yeast).

4. The avidin columns used for the affinity separation of the biotin labeled peptides can present challenges, including nonspecific binding, irreversible binding and low capacity.

5. Label efficiency is relative low. (80%) 6. The cysteine-based ICAT tags would not yield

information on changes in the proteome based on post-translational modifications.

Page 35: Quantitative proteomics

13C-Isotope-coded Affinity Tag

Burlingame AL, et al. MCP,2003,2, 299-314

Regnier, FE, et al. J Proteome Res,2002, 1, 139-47

Page 36: Quantitative proteomics

13C-Isotope-coded Affinity Tag

Page 37: Quantitative proteomics
Page 38: Quantitative proteomics

Solution(3)Solution(3) 1. The size of the ICAT label (~500 Da) is a large

modification that remains on each peptide throughout the MS analysis. This can complicate the database searching algorithms, especially for small peptides (<7 amino acids).

2. The elution separation of light and heavy isotopes. 3. The method fails for proteins that contain no cysteines.

Only a small percentage of proteins are cysteine-free (8% in yeast).

4. The avidin columns used for the affinity separation of the biotin labeled peptides can present challenges, including nonspecific binding, irreversible binding and low capacity.

5. Label efficiency is relative low. (80%) 6. The cysteine-based ICAT tags would not yield

information on changes in the proteome based on post-translational modifications.

Page 39: Quantitative proteomics

Aebersold R, et al. Curr Opin Chem Bio, 2004, 8, 66-75

Chemical probes

Page 40: Quantitative proteomics

N-terminusN-terminus

Liebler DC, et al. J Proteome Res, 2003, 2, 265-72

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James P, et al.Anal Chem, 2000, 72, 4047-57

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C-terminusC-terminus

Fenselau C, et al. Anal Chem, 2001, 73, 2836-42

Page 43: Quantitative proteomics

TryptophanTryptophan

Nishimura O, et al.Rapid Commun Mass Spectrom, 2003, 17, 1642-50

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Mass-coded abundance Mass-coded abundance tagging (MCAT)tagging (MCAT)

Emili A, et al.Nat Biotech,2002, 20, 163-70

Page 45: Quantitative proteomics

Reilly JP, et al. Rapid Commun Mass Spectrom, 2000, 14, 2147-53

Page 46: Quantitative proteomics

Emili A, et al.Nat Biotech,2002, 20, 163-70

Page 47: Quantitative proteomics

Element-Coded Affinity Tags (ECAT)

Whetstone PA, et al.Bioconjugate Chem, 2004,15, 3-6

Page 48: Quantitative proteomics

Solution(4)Solution(4) 1. The size of the ICAT label (~500 Da) is a large

modification that remains on each peptide throughout the MS analysis. This can complicate the database searching algorithms, especially for small peptides (<7 amino acids).

2. The elution separation of light and heavy isotopes. 3. The method fails for proteins that contain no cysteines.

Only a small percentage of proteins are cysteine-free (8% in yeast).

4. The avidin columns used for the affinity separation of the biotin labeled peptides can present challenges, including nonspecific binding, irreversible binding and low capacity.

5. Label efficiency is relative low. (80%) 6. The cysteine-based ICAT tags would not yield

information on changes in the proteome based on post-translational modifications.

Page 49: Quantitative proteomics

Cell CultureCell Culture

Fu EW, et al. Rapid Commun Mass Spectrom, 2002, 16, 1389-97

Page 50: Quantitative proteomics

Stable Isotope Labeling by Amino Acids in Cell Culture

(SILAC)

Mann M, et al. MCP2002, 1,376-86

Gygi SP, et al.MCP, 2004, in press.

Page 51: Quantitative proteomics

Disadvantages 1. The method does not allow for the analysis of

protein directly from tissue. 2. The stable-isotope- enriched media might

themselves affect microbial growth and protein production.

3. Stable- isotope-enriched media are costly, and for culturing cells from higher organisms they may be impossible to obtain.

4. The increase in nominal mass due to stable-isotope incorporation is not known until the sequence is determined, which can greatly confound database-searching programs and prevent protein identification prior to quantification.

Gygi SP, et al. Curr Opin Biotech. 2000,11,396-401

Page 52: Quantitative proteomics

SolutionSolution 1. The size of the ICAT label (~500 Da) is a large

modification that remains on each peptide throughout the MS analysis. This can complicate the database searching algorithms, especially for small peptides (<7 amino acids).

2. The elution separation of light and heavy isotopes. 3. The method fails for proteins that contain no cysteines.

Only a small percentage of proteins are cysteine-free (8% in yeast).

4. The avidin columns used for the affinity separation of the biotin labeled peptides can present challenges, including nonspecific binding, irreversible binding and low capacity.

5. Label efficiency is relative low. (80%) 6. The cysteine-based ICAT tags would not yield

information on changes in the proteome based on post-translational modifications.

Page 53: Quantitative proteomics

Yates JR, et al. Anal Chem, 2002, 74, 1650-7

Page 54: Quantitative proteomics

Julka S, et al. J Proteome Res, 2003, 3, 350-63

Page 55: Quantitative proteomics

Gel-based methods

Aebersold R, et al. MCP, 2002, 1,19-29

Page 56: Quantitative proteomics

Hamdan M, et al. Rapid Commun Mass Spectrom, 2002, 16, 1692-8

Page 57: Quantitative proteomics

Hamdan M, et al. Rapid Commun Mass Spectrom, 2002, 16, 1692-8

Page 58: Quantitative proteomics

Sechi S, et al. Rapid Commun Mass Spectrom, 2002, 16, 1416-24

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Chemically-coded affinity tag (CCAT)

Niehaus K, et al. 2003, J Biotech, 106, 287-300

Page 60: Quantitative proteomics

Niehaus K, et al. 2003, J Biotech, 106, 287-300

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Differential In-gel Electrophoresis (DIGE)

Unlu, et al. Electrophoresis 18, 2071–2077

Page 62: Quantitative proteomics

Advantages1. The control and experimental samples are

mixed in the same gel, no separate standard maps must be created for the controls and treated ones.

2. Matching is automatic and straightforward and a single gel could suffice for full quantitative analysis.

Righetti G, et al. Mass Spectrom Rev, 2002, 21, 287-302

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Disadvantages1. In order to maintain solubility of the

labeled proteins during electrophoresis, one must fluorescently derivatize the sample such that only ~1–2% of the lysine residues of the proteins are modified. Higher labeling stoichiometries severely compromise the solubility of the proteins and greatly decrease the number of proteins detected. So the sensitivity is not as high as claimed.

Righetti G, et al. Mass Spectrom Rev, 2002, 21, 287-302

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2. Though charge-matched, the covalently modified proteins generated by DIGE have slightly altered protein migration properties relative to the bulk of the unlabeled material, because of the additional mass of the dyes.

Disadvantages

Righetti G, et al. Mass Spectrom Rev, 2002, 21, 287-302

Page 65: Quantitative proteomics

Disadvantages 3. One cannot simply run a DIGE gel and cut out the

spots for direct MS analysis. The real centroid of the spot will not be aligned with the

fluorescent spot. The vast majority of the spots will be present in too low

an amount to be directly amenable to MS analysis There is no way to predict where the covalent

fluorescent label will be attached, so that peptide identification might be problematic.

After the gel has been removed from the special scanner for fluorescence, the spots will no

longer be visible, and cutting them out will simply be impossible.

Righetti G, et al. Mass Spectrom Rev, 2002, 21, 287-302

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Absolute Quantitation

Barnidge DR, et al. Anal Chem 2003, 75, 445-51

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Gerber SA, et al. PNAS, 2003, 100,6940-5

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Visible Isotope-Coded Affinity Tags

Lu Y, et al. Anal Chem, 2004, 76,4104-4111

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ITRAQ

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