Literature DB >> 11890681

Clast5/Stra13 is a negative regulator of B lymphocyte activation.

Mika Seimiya1, Rumana Bahar, Yanqing Wang, Kiyoko Kawamura, Yuji Tada, Seiji Okada, Masahiko Hatano, Takeshi Tokuhisa, Hiromitsu Saisho, Takeshi Watanabe, Masatoshi Tagawa, Jiyang O-Wang.   

Abstract

CD40 is a member of the tumor necrosis factor receptor family and mediates a variety of functions of B cells, including B cell survival, proliferation, immunoglobulin gene class switching, memory B cell formation, and regulation of Fas-mediated apoptosis. To begin to elucidate the molecular mechanism governing such diverse functions of CD40, we have isolated a gene from mouse splenic B cells, termed Clast5, whose expression is strongly repressed during B cell activation. Clast5 is identical with Stra13, a recently identified member of the basic helix-loop-helix family of transcription factors. Clast5/Stra13 is highly expressed in unstimulated, resting B cells and is rapidly downregulated by a variety of stimuli that activate B cells, including CD40 ligand, anti-IgM antibodies, lipopolysaccharides and interleukin-4. Forced expression of Clast5/Stra13 in B cells delayed the cell cycle progression into S phase and strongly suppressed Fas-mediated apoptosis. Moreover, Clast5/Stra13 inhibited the colony formation in fibroblasts. Our results suggest that Clast5/Stra13 functions as a negative regulator of B cell activation by inhibiting cell cycle progression and cell growth. (C)2002 Elsevier Science (USA).

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Year:  2002        PMID: 11890681     DOI: 10.1006/bbrc.2002.6605

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  12 in total

1.  Stra13 is induced by genotoxic stress and regulates ionizing-radiation-induced apoptosis.

Authors:  Tin Htwe Thin; Li Li; Teng-Kai Chung; Hong Sun; Reshma Taneja
Journal:  EMBO Rep       Date:  2007-03-09       Impact factor: 8.807

2.  DNA microarray gene expression profile of marginal zone versus follicular B cells and idiotype positive marginal zone B cells before and after immunization with Streptococcus pneumoniae.

Authors:  Nicholas W Kin; Dianna M Crawford; Jiabin Liu; Timothy W Behrens; John F Kearney
Journal:  J Immunol       Date:  2008-05-15       Impact factor: 5.422

Review 3.  Transcription Factor Bhlhe40 in Immunity and Autoimmunity.

Authors:  Melissa E Cook; Nicholas N Jarjour; Chih-Chung Lin; Brian T Edelson
Journal:  Trends Immunol       Date:  2020-10-07       Impact factor: 16.687

4.  Deficiency of the oxidative damage-specific DNA glycosylase NEIL1 leads to reduced germinal center B cell expansion.

Authors:  Hiromi Mori; Rika Ouchida; Atsushi Hijikata; Hiroshi Kitamura; Osamu Ohara; Yingqian Li; Xiang Gao; Akira Yasui; R Stephen Lloyd; Ji-Yang Wang
Journal:  DNA Repair (Amst)       Date:  2009-09-24

5.  Meta-analysis and profiling of cardiac expression modules.

Authors:  Uri David Akavia; Dafna Benayahu
Journal:  Physiol Genomics       Date:  2008-09-09       Impact factor: 3.107

6.  AucPR: an AUC-based approach using penalized regression for disease prediction with high-dimensional omics data.

Authors:  Wenbao Yu; Taesung Park
Journal:  BMC Genomics       Date:  2014-12-12       Impact factor: 3.969

7.  SUMO modification of Stra13 is required for repression of cyclin D1 expression and cellular growth arrest.

Authors:  Yaju Wang; Vinay Kumar Rao; Wai Kay Kok; Dijendra Nath Roy; Sumita Sethi; Belinda Mei Tze Ling; Martin Beng Huat Lee; Reshma Taneja
Journal:  PLoS One       Date:  2012-08-14       Impact factor: 3.240

8.  bHLH-Orange Transcription Factors in Development and Cancer.

Authors:  Hong Sun; Saghi Ghaffari; Reshma Taneja
Journal:  Transl Oncogenomics       Date:  2007-12-10

9.  Stra13 regulates satellite cell activation by antagonizing Notch signaling.

Authors:  Hong Sun; Li Li; Cécile Vercherat; Neriman Tuba Gulbagci; Sujata Acharjee; Jiali Li; Teng-Kai Chung; Tin Htwe Thin; Reshma Taneja
Journal:  J Cell Biol       Date:  2007-05-14       Impact factor: 10.539

10.  Transcription-factor occupancy at HOT regions quantitatively predicts RNA polymerase recruitment in five human cell lines.

Authors:  Joseph W Foley; Arend Sidow
Journal:  BMC Genomics       Date:  2013-10-20       Impact factor: 3.969

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