Literature DB >> 16683886

9-color and 10-color flow cytometry in the clinical laboratory.

Brent Wood1.   

Abstract

CONTEXT: The development of commercial flow cytometers capable of detecting more than 10 simultaneous fluorescent signals presents opportunities for improved diagnosis and monitoring of patients with leukemia and lymphoma.
OBJECTIVE: To describe instrument and reagent characteristics necessary for successful 9-color and 10-color flow cytometry in a clinical setting.
DESIGN: Systematic review of issues related to instrument settings, reagent performance, and general principles of panel construction.
RESULTS: Nine-color and 10-color flow cytometry offers the possibility for increased accuracy in population identification, the ability to obtain detailed information from paucicellular specimens, improved laboratory efficiency, and the means to consistently detect abnormal populations at low levels. Careful attention to details of instrument and reagent performance allows for the development of panels suitable for screening of samples for leukemia and lymphoma in a clinical setting.
CONCLUSIONS: The characteristics of this technique are particularly well suited to the analysis of leukemia and lymphoma and have the potential to revolutionize and standardize this type of analysis in the clinical laboratory.

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Year:  2006        PMID: 16683886     DOI: 10.5858/2006-130-680-CACFCI

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  32 in total

1.  Elevated lymphocyte count at time of acute myeloid leukemia diagnosis is associated with shorter remission.

Authors:  Merav Bar; Megan Othus; Hanahlyn M Park; Vicky Sandhu; Xueyan Chen; Brent L Wood; Elihu Estey
Journal:  Leuk Lymphoma       Date:  2015-05-12

2.  Impact of pretransplantation minimal residual disease, as detected by multiparametric flow cytometry, on outcome of myeloablative hematopoietic cell transplantation for acute myeloid leukemia.

Authors:  Roland B Walter; Ted A Gooley; Brent L Wood; Filippo Milano; Min Fang; Mohamed L Sorror; Elihu H Estey; Alexander I Salter; Emily Lansverk; Jason W Chien; Ajay K Gopal; Frederick R Appelbaum; John M Pagel
Journal:  J Clin Oncol       Date:  2011-01-31       Impact factor: 44.544

Review 3.  Monitoring minimal/measurable residual disease in B-cell acute lymphoblastic leukemia by flow cytometry during targeted therapy.

Authors:  Zhiyu Liu; Yang Li; Ce Shi
Journal:  Int J Hematol       Date:  2021-01-27       Impact factor: 2.490

4.  Minimal detectable disease confirmed by flow cytometry and poor outcome after autologous stem cell transplantation in peripheral T-Cell lymphomas.

Authors:  J Gauthier; L Holmberg; D Wu; W Bensinger; A K Gopal; O Press; D Maloney; D J Green; B G Till; D Byelykh; A Shustov
Journal:  Bone Marrow Transplant       Date:  2016-10-24       Impact factor: 5.483

5.  Detection of minimal residual disease in B lymphoblastic leukemia using viSNE.

Authors:  Joseph A DiGiuseppe; Michelle D Tadmor; Dana Pe'er
Journal:  Cytometry B Clin Cytom       Date:  2015-06-02       Impact factor: 3.058

6.  Transformation of human mesenchymal cells and skin fibroblasts into hematopoietic cells.

Authors:  David M Harris; Inbal Hazan-Haley; Kevin Coombes; Carlos Bueso-Ramos; Jie Liu; Zhiming Liu; Ping Li; Murali Ravoori; Lynne Abruzzo; Lin Han; Sheela Singh; Michael Sun; Vikas Kundra; Razelle Kurzrock; Zeev Estrov
Journal:  PLoS One       Date:  2011-06-22       Impact factor: 3.240

7.  Next-Generation Sequencing in Adult B Cell Acute Lymphoblastic Leukemia Patients.

Authors:  Olga Sala Torra; Megan Othus; David W Williamson; Brent Wood; Ilan Kirsch; Harlan Robins; Lan Beppu; Margaret R O'Donnell; Stephen J Forman; Frederick R Appelbaum; Jerald P Radich
Journal:  Biol Blood Marrow Transplant       Date:  2017-01-03       Impact factor: 5.742

8.  Is there a need for morphologic exam to detect relapse in AML if multi-parameter flow cytometry is employed?

Authors:  Y Zhou; B L Wood; R B Walter; P S Becker; M-E Percival; M Bar; C Shaw; K Gardner; P Hendrie; J Abkowitz; F R Appelbaum; E Estey
Journal:  Leukemia       Date:  2017-08-18       Impact factor: 11.528

9.  PhenoGraph and viSNE facilitate the identification of abnormal T-cell populations in routine clinical flow cytometric data.

Authors:  Joseph A DiGiuseppe; Jolene L Cardinali; William N Rezuke; Dana Pe'er
Journal:  Cytometry B Clin Cytom       Date:  2017-09-26       Impact factor: 3.058

Review 10.  Advances in complex multiparameter flow cytometry technology: Applications in stem cell research.

Authors:  Frederic Preffer; David Dombkowski
Journal:  Cytometry B Clin Cytom       Date:  2009-09       Impact factor: 3.058

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