Quantitative discovery proteomics
Unbiased proteome profiling that leverages data dependent or data independent workflows. Comprehensive coverage of proteomes and sub-proteome samples. Minimal method development and fastest turn-around times.
APPLICATIONS
- Protein expression profiling
- Biomarker identification / characterization
- Sample stratification
- Drug target identification and specificity profiling
- Quantitative protein-protein interactions profiling (immunoaffinity purification, proximity labeling)
- Post-translational modifications
WORKFLOW OVERVIEW
- Robust lysis of cells & tissues
- Protein precipitation
- Protein protease digestion
- If applicable, TMT™ labeling
- If applicable, offline orthogonal fractionation
- LC-MS acquisition on 1 of 6 instruments
- Data analysis
- Deliverables provided to customer
SERVICES PROVIDED
Services
In brief:
- Project consultation / design
- Sample preparation
- Typically request minimally processed cells, tissues, biofluids, IPs, etc.
- LC-MS data acquisition on an appropriate instrument
- Data analysis
- Standard analysis included, additional proteome informatics avaialable
Deliverables
Our goal is to provide interpretable proteomics data and we’ve curated our deliverables to enable routine analysis, without special software. Deliverables include:
- QC data
- Protein annotations, gene symbols, quantitaive values
- Upon request:
- RAW mass spec. files
- Written document containing a detailed description of materials and methods for publications
PROJECT SPOTLIGHT
Six cancer cell lines, each in triplicate, were prepared and analyzed by multiplexed, quantitative LC-MS. Deep proteome coverage is acheive with accurate and precise quantitative proteome profiling with no missing values within each plex.
Analysis of individual proteins reveals precise measurements of both large and subtle expression level changes distinguishing between cell lines. Excellent agreement between replicates and the absence of missing values empowers confident interpretation of cell-line differentiation factors.
Greater than 5 logs of dynamic range enables comprehensive proteome coverage.
Quantitative robustness enables accurate measurements exceeding 60-fold changes in protein expression and an average coefficient of variation (CV) less than 5%.