Novel Strategy for Phenotypic Characterization of Human B Lymphocytes from Precursors to Effector Cells by Flow Cytometry.
Novel Strategy for Phenotypic Characterization of Human B Lymphocytes from Precursors to Effector Cells by Flow Cytometry.
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DOI:
10.1371/journal.pone.0162209
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发表时间:
2016
期刊:
影响因子:
3.7
通讯作者:
Jacob MC
中科院分区:
文献类型:
--
作者:
Clavarino G;Delouche N;Vettier C;Laurin D;Pernollet M;Raskovalova T;Cesbron JY;Dumestre-Pérard C;Jacob MC
A precise identification and phenotypic characterization of human B-cell subsets is of crucial importance in both basic research and medicine. In the literature, flow cytometry studies for the phenotypic characterization of B-lymphocytes are mainly focused on the description of a particular cell stage, or of specific cell stages observed in a single type of sample. In the present work, we propose a backbone of 6 antibodies (CD38, CD27, CD10, CD19, CD5 and CD45) and an efficient gating strategy to identify, in a single analysis tube, a large number of B-cell subsets covering the whole B-cell differentiation from precursors to memory and plasma cells. Furthermore, by adding two antibodies in an 8-color combination, our approach allows the analysis of the modulation of any cell surface marker of interest along B-cell differentiation. We thus developed a panel of seven 8-colour antibody combinations to phenotypically characterize B-cell subpopulations in bone marrow, peripheral blood, lymph node and cord blood samples. Beyond qualitative information provided by biparametric representations, we also quantified antigen expression on each of the identified B-cell subsets and we proposed a series of informative curves showing the modulation of seventeen cell surface markers along B-cell differentiation. Our approach by flow cytometry provides an efficient tool to obtain quantitative data on B-cell surface markers expression with a relative easy-to-handle technique that can be applied in routine explorations.
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影响因子:
4.4
作者:
Bohnhorst, JO;Bjorgan, MB;Thompson, KM
通讯作者:
Thompson, KM
DOI:
10.1073/pnas.0511094103
发表时间:
2006-02-14
影响因子:
11.1
作者:
Malaspina, A;Moir, S;Fauci, AS
通讯作者:
Fauci, AS
影响因子:
8.6
作者:
Marie-Cardine, Aude;Divay, Florence;Jacquot, Serge
通讯作者:
Jacquot, Serge
影响因子:
3.4
作者:
Arnoulet, Christine;Bene, Marie C.;Lacombe, Francis
通讯作者:
Lacombe, Francis
影响因子:
20.3
作者:
McKenna, RW;Washington, LT;Kroft, SH
通讯作者:
Kroft, SH