Literature DB >> 12473339

Transcriptional regulatory networks and the yeast cell cycle.

Bruce Futcher1.   

Abstract

A large amount of microarray gene expression data relevant to the yeast cell cycle has been collected, and several hundred genes have been placed into a model transcriptional control network. Genome-wide studies of the location of cell cycle transcription factors, and a variety of computational approaches, have allowed refinement of the model, and at the same time show how other genome-wide data sets may be organised into model networks.

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Year:  2002        PMID: 12473339     DOI: 10.1016/s0955-0674(02)00391-5

Source DB:  PubMed          Journal:  Curr Opin Cell Biol        ISSN: 0955-0674            Impact factor:   8.382


  49 in total

1.  Network component analysis: reconstruction of regulatory signals in biological systems.

Authors:  James C Liao; Riccardo Boscolo; Young-Lyeol Yang; Linh My Tran; Chiara Sabatti; Vwani P Roychowdhury
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-12       Impact factor: 11.205

2.  Identification of promoter motifs involved in the network of phytochrome A-regulated gene expression by combined analysis of genomic sequence and microarray data.

Authors:  Matthew E Hudson; Peter H Quail
Journal:  Plant Physiol       Date:  2003-12       Impact factor: 8.340

Review 3.  Charting gene regulatory networks: strategies, challenges and perspectives.

Authors:  Gong-Hong Wei; De-Pei Liu; Chih-Chuan Liang
Journal:  Biochem J       Date:  2004-07-01       Impact factor: 3.857

4.  Learning transcriptional networks from the integration of ChIP-chip and expression data in a non-parametric model.

Authors:  Ahrim Youn; David J Reiss; Werner Stuetzle
Journal:  Bioinformatics       Date:  2010-06-04       Impact factor: 6.937

5.  Growth rate and cell size modulate the synthesis of, and requirement for, G1-phase cyclins at start.

Authors:  Brandt L Schneider; Jian Zhang; J Markwardt; George Tokiwa; Tom Volpe; Sangeet Honey; Bruce Futcher
Journal:  Mol Cell Biol       Date:  2004-12       Impact factor: 4.272

6.  Statistical methods for identifying yeast cell cycle transcription factors.

Authors:  Huai-Kuang Tsai; Henry Horng-Shing Lu; Wen-Hsiung Li
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-12       Impact factor: 11.205

7.  Coordination of growth rate, cell cycle, stress response, and metabolic activity in yeast.

Authors:  Matthew J Brauer; Curtis Huttenhower; Edoardo M Airoldi; Rachel Rosenstein; John C Matese; David Gresham; Viktor M Boer; Olga G Troyanskaya; David Botstein
Journal:  Mol Biol Cell       Date:  2007-10-24       Impact factor: 4.138

8.  Genome-wide expression profiling, in vivo DNA binding analysis, and probabilistic motif prediction reveal novel Abf1 target genes during fermentation, respiration, and sporulation in yeast.

Authors:  Ulrich Schlecht; Ionas Erb; Philippe Demougin; Nicolas Robine; Valérie Borde; Erik van Nimwegen; Alain Nicolas; Michael Primig
Journal:  Mol Biol Cell       Date:  2008-02-27       Impact factor: 4.138

9.  The wavelet-based cluster analysis for temporal gene expression data.

Authors:  J Z Song; K M Duan; T Ware; M Surette
Journal:  EURASIP J Bioinform Syst Biol       Date:  2007

10.  Cell cycle-dependent and cell cycle-independent control of transcription by the Drosophila E2F/RB pathway.

Authors:  Dessislava K Dimova; Olivier Stevaux; Maxim V Frolov; Nicholas J Dyson
Journal:  Genes Dev       Date:  2003-09-15       Impact factor: 11.361

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