Creative Proteomics provides DIGE service which allows for simultaneous separation of up to three samples on one gel, bringing a new level of statistical confidence and reliability to 2D gel electrophoresis.
Creative Proteomics offers iTRAQ protein quantification service suited for unbiased untargeted biomarker discovery. Relative quantification of proteins for biomarker discovery in complex mixtures by mass spectrometry can easily and quickly be achieved using iTRAQ technology. iTRAQ is ideally suited for comparing normal, diseased, and drug-treated samples, time course studies, biological replicates and provides relative quantitation.
SILAC-based quantitative proteomics (SILAQ) is an innovative technology used in high throughput quantitative analysis of large protein complexes, protein-protein and protein-small molecule interactions. SILAC service of Creative Proteomics provides an unbiased strategy that can reveal how specifically either inhibitors, or other perturbations, affect the dynamic properties and cellular distributions of proteins. It can also be used as a sensitive and effective method to determine the specific interaction partners of proteins in the cell.
Absolute Quantification is a targeted quantitative proteomics technique that exhibits robust efficacy and is being increasingly utilized for a wide variety of quantitative proteomics studies. AQUA strategy is for the absolute quantification (AQUA) of proteins and their modification states. Peptides are synthesized with incorporated stable isotopes as ideal internal standards to mimic native peptides formed by proteolysis. These synthetic peptides can also be prepared with covalent modifications (e.g., phosphorylation, methylation, acetylation, etc.) that are chemically identical to naturally occurring posttranslational modifications.
Creative Proteomics provides Label-free methods for both relative and absolute quantification, which a rapid and low-cost alternative to other quantitative proteomic approaches.
In scientific research, there are two main types of research analysis: qualitative and quantitative. Between these two extremes is semi-quantitative analysis, which assigns approximate measurements to data, rather than an exact measurement. Often used in cases where a direct measurement is not possible, but inference is unacceptable. In particular, the analysis is useful in cases where quantified data might fluctuate periodically.