Literature DB >> 25850810

Human B-cell and progenitor stages as determined by probability state modeling of multidimensional cytometry data.

C Bruce Bagwell1, Beth L Hill1, Brent L Wood2,3, Paul K Wallace4, Muaz Alrazzak4, Abigail S Kelliher5, Frederic I Preffer5.   

Abstract

BACKGROUND: Human progenitor and B-cell development is a highly regulated process characterized by the ordered differential expression of numerous cell-surface and intracytoplasmic antigens. This study investigates the underlying coordination of these modulations by examining a series of normal bone marrow samples with the method of probability state modeling or PSM.
RESULTS: The study is divided into two sections. The first section examines B-cell stages subsequent to CD19 up-regulation. The second section assesses an earlier differentiation stage before and including CD19 up-regulation. POST-CD19 ANTIGENIC UP-REGULATION: Statistical analyses of cytometry data derived from sixteen normal bone marrow specimens revealed that B cells have at least three distinct coordinated changes, forming four stages labeled as B1, B2, B3, and B4. At the end of B1; CD34 antigen expression down-regulates with TdT while CD45, CD81, and CD20 slightly up-regulate. At the end of B2, CD45 and CD20 up-regulate. At the end of B3 and beginning of B4; CD10, CD38, and CD81 down-regulate while CD22 and CD44 up-regulate. PRE-CD19 ANTIGENIC UP-REGULATION: Statistical analysis of ten normal bone marrows revealed that there are at least two measurable coordinated changes with progenitors, forming three stages labeled as P1, P2, and P3. At the end of P1, CD38 up-regulates. At the end of P2; CD19, CD10, CD81, CD22, and CD9 up-regulate while CD44 down-regulates slightly.
CONCLUSIONS: These objective results yield a clearer immunophenotypic picture of the underlying cellular mechanisms that are operating in these important developmental processes. Also, unambiguously determined stages define what is meant by "normal" B-cell development and may serve as a preliminary step for the development of highly sensitive minimum residual disease detection systems. A companion article is simultaneously being published in Cytometry Part A that will explain in further detail the theory behind PSM. Three short relevant videos are available in the online supporting information for both of these papers.
© 2015 International Clinical Cytometry Society.

Entities:  

Keywords:  B-cell development; bone marrow microenvironment; bone marrow ontogeny; broadened quantile function modeling; flow cytometry; hematopoietic stem cells; high-dimensional modeling; human B-cell differentiation; monoclonal antibodies; probability state modeling

Mesh:

Substances:

Year:  2015        PMID: 25850810      PMCID: PMC5828699          DOI: 10.1002/cyto.b.21243

Source DB:  PubMed          Journal:  Cytometry B Clin Cytom        ISSN: 1552-4949            Impact factor:   3.058


  31 in total

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Journal:  Nat Rev Immunol       Date:  2005-06       Impact factor: 53.106

2.  Multiparameter flow cytometric analysis of human fetal bone marrow B cells.

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4.  Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development.

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Journal:  Cell       Date:  2014-04-24       Impact factor: 41.582

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Authors:  M R Loken; V O Shah; K L Dattilio; C I Civin
Journal:  Blood       Date:  1987-11       Impact factor: 22.113

6.  Flowcytometric phenotyping of common variable immunodeficiency.

Authors:  Klaus Warnatz; Michael Schlesier
Journal:  Cytometry B Clin Cytom       Date:  2008-09       Impact factor: 3.058

7.  Clinical significance of minimal residual disease in childhood acute lymphoblastic leukemia and its relationship to other prognostic factors: a Children's Oncology Group study.

Authors:  Michael J Borowitz; Meenakshi Devidas; Stephen P Hunger; W Paul Bowman; Andrew J Carroll; William L Carroll; Stephen Linda; Paul L Martin; D Jeanette Pullen; David Viswanatha; Cheryl L Willman; Naomi Winick; Bruce M Camitta
Journal:  Blood       Date:  2008-04-03       Impact factor: 22.113

8.  Culture of human fetal B-cell precursors on bone marrow stroma maintains highly proliferative CD20dim cells.

Authors:  I Moreau; V Duvert; J Banchereau; S Saeland
Journal:  Blood       Date:  1993-03-01       Impact factor: 22.113

9.  Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE.

Authors:  Peng Qiu; Erin F Simonds; Sean C Bendall; Kenneth D Gibbs; Robert V Bruggner; Michael D Linderman; Karen Sachs; Garry P Nolan; Sylvia K Plevritis
Journal:  Nat Biotechnol       Date:  2011-10-02       Impact factor: 54.908

10.  Ordering of human bone marrow B lymphocyte precursors by single-cell polymerase chain reaction analyses of the rearrangement status of the immunoglobulin H and L chain gene loci.

Authors:  P Ghia; E ten Boekel; E Sanz; A de la Hera; A Rolink; F Melchers
Journal:  J Exp Med       Date:  1996-12-01       Impact factor: 14.307

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Journal:  Nat Rev Immunol       Date:  2016-06-20       Impact factor: 53.106

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4.  Full-Length Transcriptome: A Reliable Alternative for Single-Cell RNA-Seq Analysis in the Spleen of Teleost Without Reference Genome.

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Journal:  Front Immunol       Date:  2021-09-27       Impact factor: 7.561

5.  Pax5 mediates the transcriptional activation of the CD81 gene.

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  5 in total

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