Chapter 1 Introduction to Proteomics Flashcards
Classical single protein analysis
Gene -> mRNA -> Protein
Contemporary protein global analysis
Genome -> Transcriptome -> Proteomics
Proteome define
complete set of proteins expressed by cell, tissue or organism from DNA/mRNA
3 stimuli that proteome change with
- Different temperatures
- with or without addition of chemical
- diseased vs healthy person
Proteomics
large scale, systematic analysis of proteins
2D PAGE to show example of proteome change
a representative 2DE gel of a normal tissue
Proteins that become down-regulated in tumor are shown with arrows and capital letters
Rationale for proteomics
Genomic DNA -> pre-mRNA -> mRNA -> protein -> functional protein
genomic DNA form genomics
mRNA form transcriptomics
functional proteins form proteomics
Pre-mRNA
exists only briefly before it is fully processed into mRNA
2 different types of organisms
- introns and exons
Exons are retained in the final mRNA, introns are removed by splicing
2 goals of proteomics
1) Obtain a global, integrated view of the biology of an organism/tissue or cells by studying proteins together rather than individually
2) Quantitative changes in protein expression levels and apply the information to drug discovery and therapy
Monitor the properties of the ENTIRE COMPLEMENTS OF PROTEINS from a given cell or organism, and to determine how these properties change in response to various physiological states, such as signaling ligands, cell cycle, and disease
Biomarkers
Disease biomarkers are substances that can be used as an indicator of the person’s biological state
2 Features of biomarkers
- typically protein in nature
- detected in blood and body fluid
3 functions of biomarkers
Differentiate state of disease in patients - search for cure for disease Gauge level of response to therapy - simplify prognosis Gauge level of drug administered - customize dosage
Biological features that correspond to a particular physiological data
Ovarian Cancer
4th most common cancer in women
Most women diagnosed at late clinical stage, with less than 30% survival in 5-year period
If detected at stage 1 , more than 90% survival rate for patients in 5 year period
Proteomics used to find biomarkers to diagnose stage 1 ovarian cancer with >94% accuracy vs current method of 35% accuracy
Personalized medicine
- Proteome of a human differ between and within populations such as metabolic enzymes
- Metabolism can influence drug efficacy and toxicity
- > poor metabolizes
- > ultra rapid metabolizers
Personalized medicine can help to increase benefit to risk ratio
Finding new drug targets (devising a drug to kill the skin cancer melanoma)
Melanoma extract out cancer tissue sample, 2D-PAGE - > overproduced protein identified from the gel -> microwell plate -> protein is isolated and crystallized -> x-ray crystallography reveals the proteins structures -> Drugs can be designed to block the proteins activity
Rationale for proteomics
Transcriptional control - between genomic DNA and pre-mRNA
Translational control - between mRNA and protein
Post translational control - between protein and functional protein
PTMs
Proteins are post-translationally modified, resulting in a dynamic nature of proteins and proteomics
3 types of PTM
Glycosylation
Phosphorylation
Disulphide bonding
Extent and modification of PTMs
individual proteins
regulatory mechanisms within the cell
environmental factors
Proteomics and PTM
50-90% of all proteins are PTM
Consequently, many proteins are present in multiple form
The type of PTM results in different types of proteomics
A single gene can produce many different mRNAs and protein
PTM increase the complexity of proteome significantly, especially in eukaryotes
Every protein can be modified in hundreds of different ways
Many PTMs are still being discovered when individual protein, complexes and pathways are being studied
3 ways PTM affect protein properties
- same protein backbone
1. Biochemical properties (binding)
eg. Disulphide bonds promote dimer multimer formation
- Chemical properties
eg. Phosphorylation and glycosylation after change and pI of proteins - Physical Properties (molecular weight)
e. g. Glycosylation can alter molecular weights of proteins
Changes in physical/chemical properties are detected using electrophoretic means such as western blot
pI is the isoelectric point
Glycosylation
- 50% glycosylated
- Addition of sugar chains (oligosaccharides or glycan) to proteins to proteins during and after synthesis
- Different extent of glycosylation results in heterogeneity
Another name for sugar chains addition
Moieties
Heterogeneity
The quality or state of being diverse in character or content.
Glycoproteomics
Identification, cataloging and characterization of glycoproteins
how does glycosylation affect the proteins
Increased solubility, bioactivity and circulation time in vivo
Bioactivity - required for proteins to fold properly
Stability - prevent proteases gaining access to protein surface
3 types of glycosylation
3 major types
- N linked (N-glycan)
- O linked (O-glycan)
- Addition of GP (glycophosphatidylinositol) anchor
N linked glycan
sugars attached to a peptide chain through the asparagine residues
O linked glycan
sugars attached to a peptide chain through hydroxyl group of serine or threonine residues
Synthesis of N-linked glycan
- Synthesis of lipid-linked precursor
First, sugars are linked onto a lipid precursor (in the cytosol), which is then flipped over into the lumen of the endoplasmic reticulum (ER) and the core oligosaccharide is finished. - Glycan transfer
The glycan is then transferred to the nascent, growing polypeptide. - Trimming and processing
Sugars are trimmed off, and the polypeptide is then folded before being moved to the Golgi complex. - Further trimming
The glycoprotein goes through a series of further modifications - Terminal glycosylation
Ending with the capping of the oligosaccharide branches with sialic acid and fucose
Note: only occurs in eukaryotes