Lecture 3 Flashcards
Name the phases of biomarker development.
- Experimental design
- Discovery
- Qualification
- Verification
- Validation and Clinical assay development
What does experimental design consist of?
- This stage includes sample selection, collection, processing and storage.
- Biomarker discovery.
Read slides
Proximal Fluids
- e.g. saliva, pancreatic juice
- Biofluid closer to or in direct contact with the site of disease.
- Proximal fluids may have several properties that make them attractive for biomarker discovery.
- Are local sinks for proteins or peptides secreted, shed or leaked from diseased tissue.
Why is sample collection and storage important?
- To preserve sample integrity.
- Must have defined collection and storage protocols.
What are the types of Tumor Markers
- Hormones -hCG (human chorionic gonadotrophin); calcitonin; gastrin; prolactin; growth hormone, etc.)
- Enzymes - (acid phosphatase; alkaline phos-phatase; PSA)
- Proteins & Glycoproteins - (CA 125; CA 15.3; CA 19.9, etc.)
- Oncofetal antigens - (CEA, AFP)
- Receptors (ER, PR, EGFR)
Distal biofluids (blood)
- preferred material for a final diagnostic test
- They are distant from the site of disease.
- analytical challenges posed by the complexity and depth of the proteome
- protein biomarker discovery is further complicated by the low relative abundance expected for specific markers
Why the recent optimism for biomarker discovery?
Due to new technologies and resources such as:
* Advanced bioinformatics
* Mass-spectrometry based profiling and identification
* Liquid Chromatography
* High-throughput techniques
Diagnostic (screening) biomarker
- A marker that is used to detect and identify a given type of cancer in an individual.
- These markers are expected to have high specificity and sensitivity
- For example, the presence of Bence–Jones protein in urine remains one of the strongest diagnostic indicators of multiple myeloma.
- PSA (Prostate Specific Antigen)
Prognostic biomarker
- Used once the disease status has been established.
- Predict the probable course of the disease including its recurrence
- Have an important influence on the aggressiveness of therapy.
- For example, HER2 amplification and/or overexpression is a marker of poor prognosis in breast cancer.
Stratification (predictive) biomarker
- serves to predict the response to a drug before treatment is started.
- Classifies individuals as likely responders or non-responders to a particular treatment.
- Example - ER which is overexpressed in about 70% of breast cancer cases.
- ER-positive cancers are more likely to respond to anti-estrogen therapies such as tamoxifen
What are the types of experimental Design Fractionation
- Non-Chromatographic Separations
- Chromatographic Separations (Instrument-based: Liquid Chromatography (LC))
Make the samples less complex
Non-Chromatographic Seperations for Biofluids (Serum/plasma/saliva/urine)
A. Proteominer
B. Immunodepletion
C. Nanotraps
D. Albuminome
Proteominer
- novel sample preparation tool used for the compression of the dynamic range of protein concentrations in complex biological samples.
- Decreases the dynamic range & dilute abundant and concentrate trace proteins.
- Provides a method for overcoming this challenge, allowing the exploration of the entire proteome.
ProtemoMiner Protein Enrichment Kit
- The ProteoMiner protein enrichment kit provides columns and all necessary reagents for accessing low-abundance proteins in a variety of biological samples and is compatible with the majority of downstream proteomics applications.
ProteoMiner Sequential Elution Kit
The ProteoMiner sequential elution kit is available for researchers who wish to elute their proteins into multiple fractions to detect additional proteins.
Proteominer & SELDI-TOF
- Improves the peak counts in SELDI analysis.
Proteominer- Key Benefits
- Decreases the amount of high-abundance proteins without immunodepletion; prevents the loss of proteins bound to high-abundance proteins, which are inadvertently lost with immunodepletion products
- Enriches and concentrates low-abundance proteins that cannot be detected through traditional methods
- Can be used to decrease the dynamic range of the protein concentration in a variety of samples and is not dependent on a predefined set of antibodies as are immunodepletion products
- Can be used for differential expression analysis
- Is compatible with current downstream protein analysis techniques
Immunodepletion
Immunodepletion is a method for removing a target molecule from a mixture. Depletion typically begins by adding an antibody targeting the molecule of interest.
What are the tools used for immunodepletion
- Multiple Affinity Removal LC Column - Human 14
- Multiple Affinity Removal Spin Cartridge – Hu 14
Limitations of Immunodepletion
*The sample can be diluted during the elution step.
*Ever-deeper mining of the proteome requires an ever-expanding set of immunodepletion products.
*Batch to batch variation of antibodies
Explain Nanotrap Technology
- Nanotrap is a carbon-based capture-particle that can be as small as 100nm, comprising a molecular sieve portion and an analyte binding portion.
- Nanotrap particles are synthesized with “bait” for specific proteins or molecules to be analyzed.
- Nanotrap particles are introduced to body fluid
- Nanotrap particles concentrate and preserve highly labile analytes.
Nanotrap Key Benefits
- Enriches and concentrates low abundance proteins in complex biofluid samples.
- Does not utilize antibodies for immunodepletion or immunoprecipitation.
- Simultaneously harvests multiple low-abundance proteins from a single sample.
- Decreases amount of high-abundance proteins present in samples.
- Compatible with protein analysis techniques (CoomasieTM, silver staining, western blotting, mass spectrometry analysis).
- Prevents protein degradation during sample processing.
- Simple format and quick sample processing technique with best in market results.
Albuminome
- Peptides and proteins (albumin-bound peptide and protein complex) that are bound to serum albumin, as well as the albumin molecule itself, can yield important data for disease diagnosis and management
- Study of Albuminome involves identifying and characterizing proteins that interact with serum albumin
- At least 35 different proteins are carried by albumin along with drugs circulating in the bloodstream
Non-Chromatographic Separations for tissue/cells
A. Molecular weight fractionation
B. Fluorescence activated cell sorting
C. Laser capture microdissection
D. Organelle Isolation