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Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc.

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Page 1: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Lecture 27 –Proteomics

Based on chapter 9 Functional and

Comparative Genomics and web materials

Copyright © 2010 Pearson Education Inc.

Page 2: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Contents

1. Definition & Goals of proteomics

2. Proteomics technologies

a. 2-D gel electrophoresis

b. Mass spectrometry

c. Protein chips

d. Yeast two-hybrid method

e. Protein localization

3. Using proteomics to uncover transcriptional networks

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 3: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

What is proteomics?

1. A catalog of all proteins expressed throughout the life cycle of the organism.

2. A catalog of all proteins expressed under all conditions in an organism.

3. A catalog of all proteins expressed in all tissues of an organism.

4. Both 1 and 2

5. Both 2 and 3

6. Both 1 and 3

7. All of the above

Page 4: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Which of the following is (are) a goal(s) of proteomics?

1. To catalog all genes in an organism

2. To understand the function of all proteins in an organism

3. To understand how proteins of an organims interact with each other.

4. Both 1 and 2

5. Both 1 and 3

6. Both 2 and 3

7. All of the above

Page 5: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

The challenges of proteomics

1. Splice variants create an enormous diversity of proteins

a. ~25,000 genes in humans give rise to 200,000 to 2,000,000 different proteins

b. Splice variants may have very diverse functions

2. Proteins expressed in an organism will vary according to age, health, tissue, and environmental stimuli

3. Proteomics requires a broader range of technologies than genomics

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 6: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Diversity of function in splice variants

1. Example: the calcitonin gene (Review of eukaryotic transcription regulation)

a. Gene variant #1i. Protein: calcitoninii. Function:

increases calcium uptake in bones

b. Gene variant #2i. Protein: calcitonin

gene-related polypeptide

ii. Function: causes blood vessels to dilate

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 7: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Posttranslational modifications

1. Proteolytic cleavage

a. Fragmenting protein

b. Examplesa. Insulin

b. Trypsin

c. See previous slide

2. Addition of chemical groups

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 8: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Chemical modifications

1. Phosphorylation: activation and inactivation of enzymes2. Acetylation: protein stability, used in histones3. Methylation: regulation of gene expression4. Acylation: membrane tethering, targeting5. Glycosylation: cell–cell recognition, signaling6. Hydroxyproline: protein stability, ligand interactions7. Ubiquitination: destruction signal8. Others

1. Sulfation: protein–protein and ligand interactions2. Disulfide-bond formation: protein stability3. Deamidation: protein–protein and ligand interactions4. Pyroglutamic acid: protein stability5. GPI anchor: membrane tethering6. Nitration of tyrosine: inflammation

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 9: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Practical applications of Proteomics

1. Comparison of protein expression in diseased and normal tissues

a. Likely to reveal new drug targetsi. Today ~500 drug targetsii. Estimates of possible drug targets: 10,000–

20,0002. Protein expression signatures associated with drug

toxicitya. To make clinical trials more efficientb. To make drug treatments more effective

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 10: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Technologies for proteomics

1. 2-D gel electrophoresisa. Separates proteins in a mixture on the basis of

their molecular weight and charge2. Mass spectrometry

a. Reveals identity of proteins3. Protein chips

a. A wide variety of identification methods4. Yeast two-hybrid method

a. Determines how proteins interact with each other

5. Biochemical genomicsa. Screens gene products for biochemical activity

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 11: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

2-D gel electrophoresis

1. Polyacrylamide gel2. Voltage across both

axesa. pH gradient along

first axis neutralizes charged proteins at different places

b. pH constant on a second axis where proteins are separated by weight

3. x–y position of proteins on stained gel uniquely identifies the proteins

BasicAcidicH

igh

MW

Lo

w M

W

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 12: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Differential in gel electrophoresis

1. Label protein samples from control and experimental tissuesa. Cy3 for controlb. Cy5 for

experimental sample

2. Mix protein samples together

3. Identify identical proteins from different samples by dye color

withbenzoicacidCy3

withoutbenzoicacidCy5

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 13: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Caveats associated with 2-D gels

1. Poor performance of 2-D gels for the following:

a. Very large proteins

b. Very small proteins

c. Less abundant proteins

d. Membrane-bound proteins

2. Presumably, the most promising drug targets

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 14: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Mass spectrometry

1. Measures mass-to-charge ratio

2. Components of mass spectrometer

1. Ion source

2. Mass analyzer

3. Ion detector

4. Data acquisition unit

A mass spectrometer

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 15: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Ion sources used for proteomics

Proteomics requires specialized ion sources

Electrospray Ionization (ESI)

Matrix-assisted laser desorption/ionization (MALDI)

ESI

MALDI

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 16: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Mass analyzers used for proteomics

Detection methods Ion trap Time of flight (TOF)

Ion Trap

Time of Flight

Detector

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 17: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

A mass spectrum

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 18: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Identifying proteins with mass spectrometry

1. Preparation of protein sample

a. Extraction from a gel

b. Digestion by proteases — e.g., trypsin

2. Mass spectrometer measures mass-charge ratio of peptide fragments

3. Identified peptides are compared with database

a. Software used to generate theoretical peptide mass fingerprint (PMF) for all proteins in database

b. Match of experimental readout to database PMF allows researchers to identify the protein

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 19: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Stable-isotope protein labeling

1. Stable isotopes used to label proteins under different conditions

2. Variety of labeling methodsa. Enzymaticb. Metabolicc. Via chemical

reaction3. Relative abundance of

labeled and nonlabeled proteins measured in mass spectrum

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 20: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Limitations of mass spectrometry

1. Not very good at identifying minute quantities of protein

2. Trouble dealing with phosphorylated proteins

3. Doesn’t provide concentrations of proteins

4. Improved software eliminating human analysis is necessary for high-throughput projects

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 21: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Protein chips

1. Thousands of proteins analyzed simultaneously

2. Wide variety of assays

a. Antibody–antigen

b. Enzyme–substrate

c. Protein–small molecule

d. Protein–nucleic acid

e. Protein–protein

f. Protein–lipid

Yeast proteins detectedusing antibodies

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 22: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Fabricating protein chips

1. Protein substratesa. Polyacrylamide or

agarose gels

b. Glass

c. Nanowells

2. Proteins deposited on chip surface by robots

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 23: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Difficulties in designing protein chips

1. Unique process is necessary for constructing each probe element

2. Challenging to produce and purify each protein on chip

3. Proteins can be hydrophobic or hydrophilic

a. Difficult to design a chip that can detect both

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 24: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Yeast two-hybrid method

1. Goal: Determine how proteins interact with each other

2. Methoda. Use yeast transcription factorsb. Gene expression requires the following:

i. A DNA-binding domainii. An activation domainiii. A basic transcription apparatus

c. Attach protein1 to DNA-binding domain (bait)

d. Attach protein2 to activation domain (prey)

e. Reporter gene expressed only if protein1 and protein2 interact with each other

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 25: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Yeast two-hybrid method

Reporter Gene

Page 26: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Yeast two-hybrid method

Page 27: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Yeast two-hybrid method

Page 28: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Subcellular localization of the yeast proteome

1. Complete genome sequences allow each ORF to be precisely tagged with a reporter molecule

2. Tagged ORF proteins indicate subcellular localization

a. Useful for the following:

i. Correlating to regulatory modules

ii. Verifying data on protein–protein interactions

iii. Annotating genome sequence

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 29: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Attaching a GFP tag to an ORF

Fusion protein

Chromosome

PCR product

COOHNH2

Homologousrecombination

GFP HIS3MX6

ORF1 ORF2

protein GFP

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Page 30: Lecture 27 – Proteomics Based on chapter 9 Functional and Comparative Genomics and web materials Copyright © 2010 Pearson Education Inc

Location of proteins revealed

1. 75% of yeast proteome localized

a. > 40% of proteins in cytoplasm

2. 67% of proteins were previously unlocalized

3. Localizations correlate with transcriptional modules

A protein localizedto the nucleus

nucleus

cytoplasm

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458