Literature DB >> 19597154

Redefining the p53 response element.

Bei Wang1, Ziwei Xiao, Ee Chee Ren.   

Abstract

The tumor suppressor p53 is a master transcriptional regulator that affects a diverse range of cellular events. Surprisingly, even with >100 validated p53 response element (RE) sequences available, the effect of p53 binding on transcriptional behavior is seldom predictable and no functional rules have been described. Here, we report a systematic study on the role of specific nucleotides within the p53RE by using p21, a well-known target for p53 activation and contrasting it with Lasp1, a gene recently identified to be repressed by p53. Functional assays revealed a specific dinucleotide core combination within the CWWG motif of the p53RE to be the key factor that determines whether p53 transcriptionally activates or represses a target gene. The triplet RRR and YYY sequences flanking the core CWWG motif were also shown to play an important role in modulating the transcriptional behavior of p53. With the establishment of a set of predictive rules, we were able to reassess 162 published p53REs and showed that the attributed function for 20/162 p53REs studied were in fact erroneous. A significant proportion of p53REs (39/162) were found to be repressive, which is substantially higher than what is currently thought. Hence this clearer definition of the transcriptional behavior of p53 interaction with its RE will provide better insight toward the understanding of its fundamental role in cellular networks.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19597154      PMCID: PMC2709670          DOI: 10.1073/pnas.0903284106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  39 in total

1.  Transcription factors: bound to activate or repress.

Authors:  D S Latchman
Journal:  Trends Biochem Sci       Date:  2001-04       Impact factor: 13.807

Review 2.  Twenty years of p53 research: structural and functional aspects of the p53 protein.

Authors:  P May; E May
Journal:  Oncogene       Date:  1999-12-13       Impact factor: 9.867

3.  Surfing the p53 network.

Authors:  B Vogelstein; D Lane; A J Levine
Journal:  Nature       Date:  2000-11-16       Impact factor: 49.962

4.  The tumour suppressor protein p53 can repress transcription of cyclin B.

Authors:  K Krause; M Wasner; W Reinhard; U Haugwitz; C L Dohna; J Mössner; K Engeland
Journal:  Nucleic Acids Res       Date:  2000-11-15       Impact factor: 16.971

5.  Identification of cell cycle regulatory genes as principal targets of p53-mediated transcriptional repression.

Authors:  Kevin B Spurgers; David L Gold; Kevin R Coombes; Nicole L Bohnenstiehl; Brian Mullins; Raymond E Meyn; Christopher J Logothetis; Timothy J McDonnell
Journal:  J Biol Chem       Date:  2006-06-23       Impact factor: 5.157

Review 6.  Transcriptional control of human p53-regulated genes.

Authors:  Todd Riley; Eduardo Sontag; Patricia Chen; Arnold Levine
Journal:  Nat Rev Mol Cell Biol       Date:  2008-05       Impact factor: 94.444

7.  Analyses of p53 target genes in the human genome by bioinformatic and microarray approaches.

Authors:  L Wang; Q Wu; P Qiu; A Mirza; M McGuirk; P Kirschmeier; J R Greene; Y Wang; C B Pickett; S Liu
Journal:  J Biol Chem       Date:  2001-09-24       Impact factor: 5.157

8.  Notch1 is a p53 target gene involved in human keratinocyte tumor suppression through negative regulation of ROCK1/2 and MRCKalpha kinases.

Authors:  Karine Lefort; Anna Mandinova; Paola Ostano; Vihren Kolev; Valerie Calpini; Ingrid Kolfschoten; Vikram Devgan; Jocelyn Lieb; Wassim Raffoul; Daniel Hohl; Victor Neel; Jonathan Garlick; Giovanna Chiorino; G Paolo Dotto
Journal:  Genes Dev       Date:  2007-03-01       Impact factor: 11.361

9.  Divergent evolution of human p53 binding sites: cell cycle versus apoptosis.

Authors:  Monica M Horvath; Xuting Wang; Michael A Resnick; Douglas A Bell
Journal:  PLoS Genet       Date:  2007-06-15       Impact factor: 5.917

10.  Algorithm for prediction of tumour suppressor p53 affinity for binding sites in DNA.

Authors:  Dmitry B Veprintsev; Alan R Fersht
Journal:  Nucleic Acids Res       Date:  2008-01-30       Impact factor: 16.971

View more
  64 in total

1.  Pliable DNA conformation of response elements bound to transcription factor p63.

Authors:  Chen Chen; Natalia Gorlatova; Osnat Herzberg
Journal:  J Biol Chem       Date:  2012-01-12       Impact factor: 5.157

2.  Importin 7 and exportin 1 link c-Myc and p53 to regulation of ribosomal biogenesis.

Authors:  Lior Golomb; Debora Rosa Bublik; Sylvia Wilder; Reinat Nevo; Vladimir Kiss; Kristina Grabusic; Sinisa Volarevic; Moshe Oren
Journal:  Mol Cell       Date:  2012-01-27       Impact factor: 17.970

Review 3.  p53 and RAD9, the DNA Damage Response, and Regulation of Transcription Networks.

Authors:  Howard B Lieberman; Sunil K Panigrahi; Kevin M Hopkins; Li Wang; Constantinos G Broustas
Journal:  Radiat Res       Date:  2017-01-31       Impact factor: 2.841

4.  Mapping the p53 transcriptome universe using p53 natural polymorphs.

Authors:  B Wang; D Niu; T H Lam; Z Xiao; E C Ren
Journal:  Cell Death Differ       Date:  2013-09-27       Impact factor: 15.828

Review 5.  Towards genome-scale signalling network reconstructions.

Authors:  Daniel R Hyduke; Bernhard Ø Palsson
Journal:  Nat Rev Genet       Date:  2010-04       Impact factor: 53.242

6.  Role of microRNA-21 in uveal melanoma cell invasion and metastasis by regulating p53 and its downstream protein.

Authors:  Ying-Chih Wang; Xuan Yang; Wen-Bin Wei; Xiao-Lin Xu
Journal:  Int J Ophthalmol       Date:  2018-08-18       Impact factor: 1.779

7.  p53 directly represses Id2 to inhibit the proliferation of neural progenitor cells.

Authors:  Brenton R Paolella; Matthew C Havrda; Akio Mantani; Christina M Wray; Zhonghua Zhang; Mark A Israel
Journal:  Stem Cells       Date:  2011-07       Impact factor: 6.277

8.  Prostate cancer: unmet clinical needs and RAD9 as a candidate biomarker for patient management.

Authors:  Howard B Lieberman; Alex J Rai; Richard A Friedman; Kevin M Hopkins; Constantinos G Broustas
Journal:  Transl Cancer Res       Date:  2018-01-14       Impact factor: 1.241

Review 9.  The expanding universe of p53 targets.

Authors:  Daniel Menendez; Alberto Inga; Michael A Resnick
Journal:  Nat Rev Cancer       Date:  2009-10       Impact factor: 60.716

10.  Divergent changes of p53 in pulmonary arterial endothelial and smooth muscle cells involved in the development of pulmonary hypertension.

Authors:  Ziyi Wang; Kai Yang; Qiuyu Zheng; Chenting Zhang; Haiyang Tang; Aleksandra Babicheva; Qian Jiang; Meichan Li; Yuqin Chen; Shane G Carr; Kang Wu; Qian Zhang; Angela Balistrieri; Christina Wang; Shanshan Song; Ramon J Ayon; Ankit A Desai; Stephen M Black; Joe G N Garcia; Ayako Makino; Jason X-J Yuan; Wenju Lu; Jian Wang
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2018-10-25       Impact factor: 5.464

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.