Literature DB >> 11031250

The Myc/Max/Mad network and the transcriptional control of cell behavior.

C Grandori1, S M Cowley, L P James, R N Eisenman.   

Abstract

The Myc/Max/Mad network comprises a group of transcription factors whose distinct interactions result in gene-specific transcriptional activation or repression. A great deal of research indicates that the functions of the network play roles in cell proliferation, differentiation, and death. In this review we focus on the Myc and Mad protein families and attempt to relate their biological functions to their transcriptional activities and gene targets. Both Myc and Mad, as well as the more recently described Mnt and Mga proteins, form heterodimers with Max, permitting binding to specific DNA sequences. These DNA-bound heterodimers recruit coactivator or corepressor complexes that generate alterations in chromatin structure, which in turn modulate transcription. Initial identification of target genes suggests that the network regulates genes involved in the cell cycle, growth, life span, and morphology. Because Myc and Mad proteins are expressed in response to diverse signaling pathways, the network can be viewed as a functional module which acts to convert environmental signals into specific gene-regulatory programs.

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Year:  2000        PMID: 11031250     DOI: 10.1146/annurev.cellbio.16.1.653

Source DB:  PubMed          Journal:  Annu Rev Cell Dev Biol        ISSN: 1081-0706            Impact factor:   13.827


  479 in total

Review 1.  The Max network gone mad.

Authors:  T A Baudino; J L Cleveland
Journal:  Mol Cell Biol       Date:  2001-02       Impact factor: 4.272

2.  Regulation of cyclin D2 gene expression by the Myc/Max/Mad network: Myc-dependent TRRAP recruitment and histone acetylation at the cyclin D2 promoter.

Authors:  C Bouchard; O Dittrich; A Kiermaier; K Dohmann; A Menkel; M Eilers; B Lüscher
Journal:  Genes Dev       Date:  2001-08-15       Impact factor: 11.361

3.  S-phase-specific expression of the Mad3 gene in proliferating and differentiating cells.

Authors:  E J Fox; S C Wright
Journal:  Biochem J       Date:  2001-10-15       Impact factor: 3.857

4.  Mad4 is regulated by a transcriptional repressor complex that contains Miz-1 and c-Myc.

Authors:  Louise Kime; Stephanie C Wright
Journal:  Biochem J       Date:  2003-02-15       Impact factor: 3.857

5.  Low expression of miR-let-7a promotes cell growth and invasion through the regulation of c-Myc in oral squamous cell carcinoma.

Authors:  Chunyang Luo; Jiyong Zhang; Yi Zhang; Xiao Zhang; Yinan Chen; Weimin Fan
Journal:  Cell Cycle       Date:  2020-06-28       Impact factor: 4.534

6.  Myc represses the p21(WAF1/CIP1) promoter and interacts with Sp1/Sp3.

Authors:  A L Gartel; X Ye; E Goufman; P Shianov; N Hay; F Najmabadi; A L Tyner
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-27       Impact factor: 11.205

7.  Coordinated transcriptional control of adipocyte triglyceride lipase (Atgl) by transcription factors Sp1 and peroxisome proliferator-activated receptor γ (PPARγ) during adipocyte differentiation.

Authors:  Debasish Roy; Kenneth T Farabaugh; Jing Wu; Alyssa Charrier; Cynthia Smas; Maria Hatzoglou; Kavitha Thirumurugan; David A Buchner
Journal:  J Biol Chem       Date:  2017-07-18       Impact factor: 5.157

8.  c-Myc interacts with TRF1/PIN2 and regulates telomere length.

Authors:  Hongtae Kim; Junjie Chen
Journal:  Biochem Biophys Res Commun       Date:  2007-08-22       Impact factor: 3.575

9.  Chromosomal location targets different MYC family gene members for oncogenic translocations.

Authors:  Monica Gostissa; Sheila Ranganath; Julia M Bianco; Frederick W Alt
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-27       Impact factor: 11.205

10.  Oncogene MYCN regulates localization of NKT cells to the site of disease in neuroblastoma.

Authors:  Liping Song; Tasnim Ara; Hong-Wei Wu; Chan-Wook Woo; C Patrick Reynolds; Robert C Seeger; Yves A DeClerck; Carol J Thiele; Richard Sposto; Leonid S Metelitsa
Journal:  J Clin Invest       Date:  2007-09       Impact factor: 14.808

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