Literature DB >> 10447512

Candidate regulatory sequence elements for cell cycle-dependent transcription in Saccharomyces cerevisiae.

T G Wolfsberg1, A E Gabrielian, M J Campbell, R J Cho, J L Spouge, D Landsman.   

Abstract

Recent developments in genome-wide transcript monitoring have led to a rapid accumulation of data from gene expression studies. Such projects highlight the need for methods to predict the molecular basis of transcriptional coregulation. A microarray project identified the 420 yeast transcripts whose synthesis displays cell cycle-dependent periodicity. We present here a statistical technique we developed to identify the sequence elements that may be responsible for this cell cycle regulation. Because most gene regulatory sites contain a short string of highly conserved nucleotides, any such strings that are involved in gene regulation will occur frequently in the upstream regions of the genes that they regulate, and rarely in the upstream regions of other genes. Our strategy therefore utilizes statistical procedures to identify short oligomers, five or six nucleotides in length, that are over-represented in upstream regions of genes whose expression peaks at the same phase of the cell cycle. We report, with a high level of confidence, that 9 hexamers and 12 pentamers are over-represented in the upstream regions of genes whose expression peaks at the early G(1), late G(1), S, G(2), or M phase of the cell cycle. Some of these sequence elements show a preference for a particular orientation, and others, through a separate statistical test, for a particular position upstream of the ATG start codon. The finding that the majority of the statistically significant sequence elements are located in late G(1) upstream regions correlates with other experiments that identified the late G(1)/early S boundary as a vital cell cycle control point. Our results highlight the importance of MCB, an element implicated previously in late G(1)/early S gene regulation, as most of the late G(1) oligomers contain the MCB sequence or variations thereof. It is striking that most MCB-like sequences localize to a specific region upstream of the ATG start codon. Additional sequences that we have identified may be important for regulation at other phases of the cell cycle.

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Year:  1999        PMID: 10447512      PMCID: PMC310804     

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  27 in total

1.  Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation.

Authors:  P Tamayo; D Slonim; J Mesirov; Q Zhu; S Kitareewan; E Dmitrovsky; E S Lander; T R Golub
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-16       Impact factor: 11.205

2.  The prediction of vertebrate promoter regions using differential hexamer frequency analysis.

Authors:  G B Hutchinson
Journal:  Comput Appl Biosci       Date:  1996-10

Review 3.  Cell cycle regulated transcription in yeast.

Authors:  C Koch; K Nasmyth
Journal:  Curr Opin Cell Biol       Date:  1994-06       Impact factor: 8.382

Review 4.  The transcriptional apparatus required for mRNA encoding genes in the yeast Saccharomyces cerevisiae emerges from a jigsaw puzzle of transcription factors.

Authors:  M Künzler; C Springer; G H Braus
Journal:  FEMS Microbiol Rev       Date:  1996-12       Impact factor: 16.408

5.  Transcriptional regulation of the human chromogranin A gene by its 5' distal regulatory element: novel effects of orientation, structure, flanking sequences, and position on expression.

Authors:  E M Nolan; T C Cheung; D W Burton; L J Deftos
Journal:  Mol Cell Endocrinol       Date:  1996-11-29       Impact factor: 4.102

6.  Cell cycle-dependent transcription of CLN1 involves swi4 binding to MCB-like elements.

Authors:  J F Partridge; G E Mikesell; L L Breeden
Journal:  J Biol Chem       Date:  1997-04-04       Impact factor: 5.157

7.  Yeast TATA-binding protein TFIID binds to TATA elements with both consensus and nonconsensus DNA sequences.

Authors:  S Hahn; S Buratowski; P A Sharp; L Guarente
Journal:  Proc Natl Acad Sci U S A       Date:  1989-08       Impact factor: 11.205

Review 8.  Yeast transcriptional regulatory mechanisms.

Authors:  K Struhl
Journal:  Annu Rev Genet       Date:  1995       Impact factor: 16.830

Review 9.  MCB elements and the regulation of DNA replication genes in yeast.

Authors:  E M McIntosh
Journal:  Curr Genet       Date:  1993-09       Impact factor: 3.886

10.  A novel cis-acting element required for lipopolysaccharide-induced transcription of the murine interleukin-1 beta gene.

Authors:  S A Godambe; D D Chaplin; T Takova; L M Read; C J Bellone
Journal:  Mol Cell Biol       Date:  1995-01       Impact factor: 4.272

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  20 in total

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Authors:  C Wade; K A Shea; R V Jensen; M A McAlear
Journal:  Mol Cell Biol       Date:  2001-12       Impact factor: 4.272

2.  PROSPECT improves cis-acting regulatory element prediction by integrating expression profile data with consensus pattern searches.

Authors:  W Fujibuchi; J S Anderson; D Landsman
Journal:  Nucleic Acids Res       Date:  2001-10-01       Impact factor: 16.971

3.  Computational inference of transcriptional regulatory networks from expression profiling and transcription factor binding site identification.

Authors:  Peter M Haverty; Ulla Hansen; Zhiping Weng
Journal:  Nucleic Acids Res       Date:  2004-01-02       Impact factor: 16.971

4.  SiteSeer: Visualisation and analysis of transcription factor binding sites in nucleotide sequences.

Authors:  Paul E Boardman; Stephen G Oliver; Simon J Hubbard
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

5.  Comprehensive quantitative analyses of the effects of promoter sequence elements on mRNA transcription.

Authors:  Michal Lapidot; Yitzhak Pilpel
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

6.  Discovery of sequence motifs related to coexpression of genes using evolutionary computation.

Authors:  Gary B Fogel; Dana G Weekes; Gabor Varga; Ernst R Dow; Harry B Harlow; Jude E Onyia; Chen Su
Journal:  Nucleic Acids Res       Date:  2004-07-20       Impact factor: 16.971

7.  Statistical analysis of over-represented words in human promoter sequences.

Authors:  Leonardo Mariño-Ramírez; John L Spouge; Gavin C Kanga; David Landsman
Journal:  Nucleic Acids Res       Date:  2004-02-12       Impact factor: 16.971

8.  Characterization of a highly conserved histone related protein, Ydl156w, and its functional associations using quantitative proteomic analyses.

Authors:  Joshua M Gilmore; Mihaela E Sardiu; Swaminathan Venkatesh; Brent Stutzman; Allison Peak; Chris W Seidel; Jerry L Workman; Laurence Florens; Michael P Washburn
Journal:  Mol Cell Proteomics       Date:  2011-12-22       Impact factor: 5.911

9.  Transcriptional regulation: a genomic overview.

Authors:  José Luis Riechmann
Journal:  Arabidopsis Book       Date:  2002-04-04

10.  Quantitative statistical analysis of cis-regulatory sequences in ABA/VP1- and CBF/DREB1-regulated genes of Arabidopsis.

Authors:  Masaharu Suzuki; Matthew G Ketterling; Donald R McCarty
Journal:  Plant Physiol       Date:  2005-08-19       Impact factor: 8.340

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