Sequencing of Mammalian Genomes Predicts 30,000 genes
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Sequencing of Mammalian Genomes Predicts 30,000 genes
2001 2002
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What is the Proteome
• All the proteins expressed in a particular cell or tissue.
• By definition this will vary by tissue and cell type.
– Cardiovascular– Neuromuscular– Islet cell– Endothelial cell– Muscle cell
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Why Study Proteomics?
• Gives a better understanding of the function of gene products.
• Allow for the design of rational drug therapies.
• Provide new and specific markers of disease.
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Will Proteomics Provide a Stronger Means to Stratify Disease
Greater Complexity=Greater Specificity
YES
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Protein Modifications
PhosphorylationGlycosolationUbiquitinationCleavageLipid etc.
Dictates Function and Intracellular Localization
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30,000 Genes How Many Proteins?
30,000 genes
4-6 splice variants
120,000 possible mRNAS
>200 Post-translational Modifications
24,000,000 Possible Protein Isoforms
2,000,000 Predicted Proteins
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How Gene and Protein Expression is Regulated or Modified from Transcription to
Post-translation
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Synaptojanin 2
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Biomarker ID vrs Protein ID
BIOMARKER• CHANGE +/-• IDENTITY ?• SPECIFIC• EASE• BODY FLUID
PROTEIN• INTERACTION• PRESENCE• ISOFORMS• MODIFICATIONS• FUNCTION
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Using Proteomics to Identify Biomarkers of Disease
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How do You ID Biomarkers
• 2D-PAGE MALDI-TOF MS
• ICAT MALDI-TOF MS• SELDI-TOF MS
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Proteomic flow
1D and 2D gels
Proexpress Imager Progest ProMSPropicker
Q Star XL-MS/MS-TOF
Vision StationBiacore
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ICAT(Isotope Coded
Affinity Tag)
Deuterium
Biotin Linker Thiol ReactiveGroup
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ICAT Provides Relative Levels of
Expression Between Two
Proteins Which is
Reflected by the Ratio of
the Amount of Peptide
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Surface Enhanced Laser Desorption Ionization Time of Flight (SELDI-TOF)
ProteinChip
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Protein Chip
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Different Protein Profiles from Different Chip Surfaces
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Laser Capture
Microscopy Allows for the Dissection of Cells Directly
from Sectioned Tissues
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LCM of Normal and Cancerous Prostate
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Protein Profile from Prostrate Cancer Tissue
Procured by LCM
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Do we Need all Three Approaches?• 2D-PAGE MALDI-TOF MS
– Greatest resolving power– Large data base– Labor and time consuming
• ICAT MALDI-TOF MS– Mostly abundant proteins– Needs cysteine residue
• SELDI-TOF MS– Resolves from 8-50 kDa– Small amounts of sample