Beckman Coulter Life Sciences Achieves Industry-First With Commercial Release of Anti-TRBC2 Conjugated Antibody for Flow Cytometry
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Beckman Coulter Life Sciences, a global leader in laboratory automation and innovation, continues to lead the way with first-to-market concepts to help laboratories achieve goals faster and with greater accuracy. The company today announces it has developed the first commercially available anti-TRBC2 conjugated antibody for flow cytometry, providing greater clarity to clinical researchers in the identification of T-cell neoplasms in areas including cancer research.
Traditional approaches to identify clonal T-cell expansion have been complex and challenging, relying on the assessment of abnormal antigen expression, which is often difficult to clearly identify and can overlap with reactive T-cell subsets. B-cells can offer a richer and more simplistic solution, with the detection of clonal B-cell expansion enabled by the staining of both surface kappa and lambda immunoglobulin light chains utilizing flow cytometry.
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Subscribe for FREEThe TCR constant β chains 1 and 2, or TRBC1 and TRBC2, are randomly selected during T-cell development in the thymus and are mutually exclusive. Normal T-cell populations include a mix of the two, while clonal populations include only one. TRBC1 and TRBC2 staining using flow cytometry offers a low-cost, rapid, and specific T-cell clonality test. Both can be conjugated to any dye in the Beckman Coulter Life Sciences portfolio through Custom Design Services either as a standalone conjugated antibody, or part of liquid or dry custom panels.
“Beckman Coulter Life Sciences has been committed to T-cell research for more than 25 years as we launched our Beta Mark TCR Vβ Repertoire Kit, and we’ve aggressively continued to innovate and raise the bar with solutions for this pioneering method to help labs ensure greater accuracy with fewer touchpoints,” said Pietro Lopriore, Vice President and General Manager of the Flow Cytometry Business Unit. “This advancement creates a revolutionary step forward in reducing complexities while providing clearer results in the important area of T-cell cancer research.”