Literature DB >> 1690504

Quality control in flow cytometry for diagnostic pathology. I. Cell surface phenotyping and general laboratory procedures.

J P McCoy1, J L Carey, J R Krause.   

Abstract

Flow cytometric analyses have become commonplace in the clinical laboratory for determining cell lineage and for quantitation of cells bearing a given phenotype. Because these assays are being conducted to support diagnoses or assist in determining therapy, it is crucial to ensure that these tests are highly accurate and reproducible within a laboratory and among laboratories involved in similar endeavors. This quality assurance has been slow evolving in clinical flow cytometry for a variety of reasons: the exquisite sensitivity and delicacy of the instrumentation that recognize previously undetectable variations in staining; the constant improvement of the hardware and software; the rapid development of new techniques and reagents of clinical interest; and the failure of any existing specialty or subspecialty to encompass all aspects of flow cytometry. This article provides an overview of quality assurance necessary for the flow cytometric analysis of cell surface markers. Practical experience, published studies, and suggested guidelines from accreditation agencies have been combined to develop the text.

Mesh:

Year:  1990        PMID: 1690504

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  3 in total

1.  Flow cytometry as a tool for measurement of steroid hormone receptor protein expression in leukocytes.

Authors:  Cherie L Butts; Esther M Sternberg
Journal:  Methods Mol Biol       Date:  2009

2.  Standardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping Consortium.

Authors:  Greg Finak; Marc Langweiler; Maria Jaimes; Mehrnoush Malek; Jafar Taghiyar; Yael Korin; Khadir Raddassi; Lesley Devine; Gerlinde Obermoser; Marcin L Pekalski; Nikolas Pontikos; Alain Diaz; Susanne Heck; Federica Villanova; Nadia Terrazzini; Florian Kern; Yu Qian; Rick Stanton; Kui Wang; Aaron Brandes; John Ramey; Nima Aghaeepour; Tim Mosmann; Richard H Scheuermann; Elaine Reed; Karolina Palucka; Virginia Pascual; Bonnie B Blomberg; Frank Nestle; Robert B Nussenblatt; Ryan Remy Brinkman; Raphael Gottardo; Holden Maecker; J Philip McCoy
Journal:  Sci Rep       Date:  2016-02-10       Impact factor: 4.379

3.  Evaluation of steroid hormone receptor protein expression in intact cells using flow cytometry.

Authors:  Cherie L Butts; Shetha A Shukair; Kristina M Duncan; Christopher W Harris; Elena Belyavskaya; Esther M Sternberg
Journal:  Nucl Recept Signal       Date:  2007-08-03
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.