QC and Quantitation Kits
Quality Control and Biomarker Assessment Kits
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Researchers in academia and life-science industries continue to implement a bottom-up MS-based workflow for protein biomarker screening. Biomarker verification/validation requires absolute quantification of surrogate peptides in the sample matrix, a requirement that is best achieved using well-characterized standards. To ensure robust quantitative measurement, quality control (QC) checks should be routinely performed. CIL offers a collection of PeptiQuant™ Assay Kits (from MRM Proteomics Inc.) for QC and biomarker assessment using bottom-up LC-MS/MS methodologies. The QC kits are designed to evaluate the performance of an LC-MS platform, either alone or in combination with a human plasma proteomics workflow (see PeptiQuant Plus Quality Control Kits flyer for details). The biomarker assessment kits (BAKs) are intended to help researchers screen target panels of candidate protein disease biomarkers in human or mouse plasma samples (see PeptiQuant Plus Biomarkers Assessment Kits flyer for details).
Translation and implementation of PeptiQuant Plus Human Plasma BAK-270
The large-scale quantitation of proteins in biomarker screening exercises is being increasingly employed in the proteomics field to discover, and ultimately validate, disease indicators. These evaluations are commonly performed in blood plasma samples by liquid chromatography (LC)-tandem mass spectrometry (MS/MS). To assist researchers developments and applications, Cambridge Isotope Laboratories, Inc. (CIL) supplies PeptiQuant™ Plus biomarker assessment kits (BAKs) for plasma protein interrogations by bottom-up LC-MS/MS. As part of a joint collaboration with CIL and Université de Montpellier, the latest BAK-270 was translated to a Shimadzu LC-MS platform at the Université de Montpellier. This application note outlines that process, its results, and an overview into its clinical application at Montpellier Hospital.
Resource details:
- Resource type: Application note
- Page count: 11
- Read time: 17 mins
