25
Proteomics Astrid Bruckmann IBL, Leiden University Workshop Transcriptomics and Proteomics in Zebrafish, Leiden University,13-22 March 2006

Proteomics

  • Upload
    meira

  • View
    120

  • Download
    2

Embed Size (px)

DESCRIPTION

Proteomics. Astrid Bruckmann IBL, Leiden University. Workshop Transcriptomics and Proteomics in Zebrafish, Leiden University,13-22 March 2006. Why Proteomics?. Genome - Transcriptome - Proteome. from: Graves and Haystead, 2002. - PowerPoint PPT Presentation

Citation preview

Page 1: Proteomics

Proteomics

Astrid BruckmannIBL, Leiden University

Workshop Transcriptomics and Proteomics in Zebrafish,Leiden University,13-22 March 2006

Page 2: Proteomics

Why Proteomics?Genome - Transcriptome - Proteome

• several levels of regulation from gene to function• Proteins are the ultimate operating molecules producing the physiological effect

Proteome: the protein complement of a genome

from: Graves and Haystead, 2002

Proteomics: large-scale characterization and functional analysis of the proteins expressed by a genome

Page 3: Proteomics

Types of proteomics and their application to biology

from: Graves and Haystead, 2002

Page 4: Proteomics

Proteomics - the challenge• The Proteome is: - dynamic - highly complex - relative protein abundances in a cell can differ from 105 up to about 1010

• Proteomics aims to analyze the levels and structure of all proteins present in a cell or a tissue including their post-translational modifications

(Honoré and Østergaard, 2003)

• Proteomics approaches include: 1) protein identification 2) protein quantitation or differential analysis 3) protein-protein interactions 4) post-translational modifications 5) structural proteomics

Proteomics is complementary to transcriptomics and metabolomics, integration of different -omics data should lead to a more complete understandingof biological systems at a molecular level

Page 5: Proteomics

Proteomics - the classical definition

- High resolution 2D-PAGE first developed in 1975 (O’Farrell and Klose)- Combination with biological mass spectrometry (1990s)- Availability of genome sequences in databases

central role in proteomic studies

Two-dimensional gelelectrophoresis (2D-PAGE) of cell lysates

generates global patterns of protein expression annotation large-scale visualization of differential protein expression

Mass spectrometry+

Peptide mass fingerprintingfor protein identification

Page 6: Proteomics

First dimension: Isoelectrofocusing (IEF)

strip containing a pH gradient immobilized on a gel matrix (Garfin et al. 2000)

Page 7: Proteomics

7.59.5

7.5pI 4.5 7.5

7.5 7.5pI 4.59.5

9.5

9.5 9.5pI 4.5

pI 3.5pI 3.5pI 4.57.57.57.57.57.5

9.59.59.59.59.5

Position of proteins after IEF

Position of proteins before IEF

Page 8: Proteomics

Second dimension: SDS-PAGE

MW• Proteins enter SDS-Polyacrylamide gel and are dissolved according to their molecular mass

• Postelectrophoretic staining of the proteins with: Coomassie, Silver, Fluorescent stains (SYPRO Ruby)

Page 9: Proteomics

2D-PAGE based expression proteomics

• posttranscriptional control mechanisms can influence protein expression

• posttranslational modifications of a protein such as phosphorylation, glycosylation, processing of signal sequences or degradation can be visualized

pIMW

• Protein expression profiling: ~ 1000 proteins routinely detectable in a 2D-gel global changes in the proteome readily detectable

SYPRO Ruby stained gel

Page 10: Proteomics

Protein identification by peptide mass fingerprinting

(A) The unknown protein is excised from a gel and converted to peptides by the action of a specific protease. The mass of the peptides produced is then measured in a mass spectrometer.

(B) The mass spectrum of the unknown protein is searched against theoretical mass spectra produced by computer-generated cleavage of proteins in the database.

from Graves and Haystead, 2002

Page 11: Proteomics

Mass spectroscopy for protein identification

MALDI-TOFMatrix assisted laser desorption/ionisation time-of-flight

MALDI-TOF spectrum

Page 12: Proteomics

Generation of protein expression reference maps

• Link protein information with DNA sequence information from the genome projects, comprehensive 2D-gel databases constructed for different cell types Listed at: WORLD-2DPAGE: http//www.expasy.org/ch2d/2d-index.html

Page 13: Proteomics

• 2D-gel electrophoresis combined with mass spectrometry to get qualitative and quantitative protein behavioural data• Most frequently used method in proteome analysis

from: Pandey and Mann, 2000

2D-PAGE based differential expression proteomics

Page 14: Proteomics

Workflow of differential expression proteomics• Sample preparation• Isoelectrofocusing (1.dimension)• Equilibration incl. reduction, alkylation• SDS-PAGE (2. dimension)• Staining• Imaging• Spot detection and matching• Normalization and quantification• Analysis • Cutting of selected spots• Trypsin digestion in-gel• Identification with mass spectroscopy• Database comparison

Steps to be practised during the workshop

Page 15: Proteomics

2D-PAGE: critical points

• Samples must be run at least in triplicate to rule out effects from gel-to-gel variation → statistics• Standardized procedures needed to obtain a high reproducibility of 2D-gels

Currently possible to run 12 gels in parallel

• Sample preparation as simple as possible

• Isoelectrofocusing conditions (patience)

• Staining: fluorescent stains for high sensitivity and high linear range of detection

Page 16: Proteomics

from Kolkman et al. 2005

• Proteins are labeled prior to running the first dimension with up to three different fluorescent cyanide dyes (Unlu et al.1997)

• Allows use of an internal standard in each gel which reduces gel-to-gel variation,

reduces the number of gels to be run

• Adds 500 Da to the protein labelled

• Additional postelectrophoretic staining needed

Difference in-gel 2D-PAGE system (DIGE)

Page 17: Proteomics

Limitations and challenges of gel-based approaches

• Dynamic range detectable on 2D-gels: 104, protein expression levels of a cell can vary between 105 (yeast) and even 1010(humans)

enrichment or prefractionation strategies needed to reach less abundant proteins

• Resolution of 2D-gels has its limits use narrow pH range gels and combine

• Protein extraction and solubility during IEF can be a problem for poorly water-soluble proteins e.g. membrane proteins or nuclear proteins

• Challenges for further development in gel-based proteomics: improve sample preparation to be able to analyze extreme proteins

(extremely basic or acidic, extremely small or big, extremely hydrophobic),

sensitivity, dynamic range, automation

Page 18: Proteomics

- 100%

- 80%

- 60%

- 40%

- 20%

Proteome coverage

Copies/cell

- 106

- 105

- 104

- 103

- 102

- 101

2D-gel based proteomics: the state-of-the-art versus the challenge

Page 19: Proteomics

Other proteomic approaches

• Liquid chromatography coupled to mass spectrometry - Shotgun multidimensional protein identification technology MudPIT (Link et al. 1999) - ICAT: isotope coded affinity tags (Gygi et al. 1999), cysteine biased - iTRAQ (Ross et al. 2004): amine specific labelling of peptides, quantification possible with tandem mass spectroscopy

• Peptide and protein arrays (Lueking et al. 1999)

• Yeast two-hybrid system (Fields and Song, 1989)

• Phage display (Zozulya et al. 1999)

Page 20: Proteomics

ICAT for measuring differential protein expression

ICAT consists of a biotin affinity group, a linker region that can incorporate heavy (deuterium) or light (hydrogen)atoms, and a thiol-reactive end group for linkage tocysteines.

Proteins are labeled on cysteine residues with either thelight or heavy form of the ICAT reagent. Protein samplesare mixed and digested with a protease. Peptides labeledwith the ICAT reagent can be purified using avidinchromatography. ICAT-labeled peptides can be analyzed by MS toquantitate the peak ratios and proteins can be identifiedby sequencing the peptides with MS/MS.

from: Graves and Haystead, 2002

Page 21: Proteomics

2D-PAGE in functional proteomicsTypical question:

• Identify specific proteins in a cell that undergo changes in abundance, localization, or modification in response to a specific biological condition

• Often combined with complementary techniques (protein biochemistry, molecular biology and cell physiology)

If: - Monitoring quantitative changes in the biological process of interest - Quantitatively looking at protein modifications Then:

2D-gel based proteomics is the method of choice

Page 22: Proteomics

Zebrafish samples used for 2D-GE Experiment

• Treatment startet at high oblong stage of development• Samples taken from 70-90% epiboly stage

Phenotypic differencesbetween untreated and treated zebrafish embryos

Page 23: Proteomics

Workflow of Differential Expression Proteomics• Sample preparation• Isoelectrofocusing (1.dimension)• Equilibration incl. reduction, alkylation• SDS-PAGE (2. dimension)• Staining• Imaging• Spot detection and matching• Normalization and quantification• Analysis • Cutting of selected spots• Trypsin digestion• Identification with mass spectroscopy• Database comparison

Steps to be practised during the workshop

Page 24: Proteomics

2D-Gelelectrophoresis Practical3 different protein samples from: a) untreated embryos b) ethanol treated embryos c) selenium treated embryosExperiment 1:7cm IPG strips 3-9 NL Passive rehydration/loadingper sample 4 replicates, 12 strips run at the same time, has already been done Start with equilibration and proceed to second dimension

Experiment 2:7cm IPG strips 3-9 NL Passive rehydration/loadingper sample 2 replicates, 6 strips to be run7cm IPG strips 7-10 Anodic cup loading to improve resolution of basic proteinsper sample 2 replicates, 6 strips to be runStart with performing first dimension

Page 25: Proteomics

2D-gel analysis software practical-Introduction into the PDQuest software package-Demonstration of an comparative analysis of gels from two different sample types (wildtype, mutant)-Practising PDQuest analysis of the gels run during the workshop-Compare:a)control embryos vs. ethanol treated embryosb)control embryos vs. selenium treated embryos

High performance analysis of 2D-gels