Literature DB >> 33511125

What Will B Will B: Identifying Molecular Determinants of Diverse B-Cell Fate Decisions Through Systems Biology.

Simon Mitchell1.   

Abstract

B-cells are the poster child for cellular diversity and heterogeneity. The diverse repertoire of B lymphocytes, each expressing unique antigen receptors, provides broad protection against pathogens. However, B-cell diversity goes beyond unique antigen receptors. Side-stepping B-cell receptor (BCR) diversity through BCR-independent stimuli or engineered organisms with monoclonal BCRs still results in seemingly identical B-cells reaching a wide variety of fates in response to the same challenge. Identifying to what extent the molecular state of a B-cell determines its fate is key to gaining a predictive understanding of B-cells and consequently the ability to control them with targeted therapies. Signals received by B-cells through transmembrane receptors converge on intracellular molecular signaling networks, which control whether each B-cell divides, dies, or differentiates into a number of antibody-secreting distinct B-cell subtypes. The signaling networks that interpret these signals are well known to be susceptible to molecular variability and noise, providing a potential source of diversity in cell fate decisions. Iterative mathematical modeling and experimental studies have provided quantitative insight into how B-cells achieve distinct fates in response to pathogenic stimuli. Here, we review how systems biology modeling of B-cells, and the molecular signaling networks controlling their fates, is revealing the key determinants of cell-to-cell variability in B-cell destiny.
Copyright © 2021 Mitchell.

Entities:  

Keywords:  B-cells; NF-κB; cell fate; cell signaling; cell-to-cell variability; computational modeling; heterogeneity; systems biology

Year:  2021        PMID: 33511125      PMCID: PMC7835399          DOI: 10.3389/fcell.2020.616592

Source DB:  PubMed          Journal:  Front Cell Dev Biol        ISSN: 2296-634X


  98 in total

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Review 4.  Modeling T- and B-cell growth and differentiation.

Authors:  Robin Callard; Phil Hodgkin
Journal:  Immunol Rev       Date:  2007-04       Impact factor: 12.988

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Journal:  Science       Date:  2016-02-18       Impact factor: 47.728

6.  Restriction point control of the mammalian cell cycle via the cyclin E/Cdk2:p27 complex.

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Journal:  FEBS J       Date:  2009-12-10       Impact factor: 5.542

7.  Discovering NF-kappaB.

Authors:  David Baltimore
Journal:  Cold Spring Harb Perspect Biol       Date:  2009-07       Impact factor: 10.005

8.  Distinct single-cell signaling characteristics are conferred by the MyD88 and TRIF pathways during TLR4 activation.

Authors:  Zhang Cheng; Brooks Taylor; Diana R Ourthiague; Alexander Hoffmann
Journal:  Sci Signal       Date:  2015-07-14       Impact factor: 8.192

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Authors:  Mark R Dowling; Andrey Kan; Susanne Heinzel; Jie H S Zhou; Julia M Marchingo; Cameron J Wellard; John F Markham; Philip D Hodgkin
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-14       Impact factor: 11.205

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Authors:  Simon Mitchell; Jesse Vargas; Alexander Hoffmann
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2016-03-16
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2.  Reduced IRF4 expression promotes lytic phenotype in Type 2 EBV-infected B cells.

Authors:  Jillian A Bristol; Joshua Brand; Makoto Ohashi; Mark R Eichelberg; Alejandro Casco; Scott E Nelson; Mitchell Hayes; James C Romero-Masters; Dana C Baiu; Jenny E Gumperz; Eric C Johannsen; Huy Q Dinh; Shannon C Kenney
Journal:  PLoS Pathog       Date:  2022-04-26       Impact factor: 7.464

  2 in total

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