ArticleGenome research1999
Candidate regulatory sequence elements for cell cycle-dependent transcription in Saccharomyces cerevisiae.
Article in Genome research, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 83 citations in OpenAlex.
- Characterization of a highly conserved histone related protein, Ydl156w, and its functional associations using quantitative proteomic analyses.Molecular & cellular proteomics : MCP · 2012Article
- Identifying functional relationships within sets of co-expressed genes by combining upstream regulatory motif analysis and gene expression information.BMC genomics · 2010Article
- Genome-wide targeted prediction of ABA responsive genes in rice based on over-represented cis-motif in co-expressed genes.Plant molecular biology · 2009Article
- Embedding mRNA stability in correlation analysis of time-series gene expression data.PLoS computational biology · 2008Article
- Identification of DNA-binding protein target sequences by physical effective energy functions: free energy analysis of lambda repressor-DNA complexes.BMC structural biology · 2007Article
- Bayesian detection of periodic mRNA time profiles without use of training examples.BMC bioinformatics · 2006Article
- Quantitative statistical analysis of cis-regulatory sequences in ABA/VP1- and CBF/DREB1-regulated genes of Arabidopsis.Plant physiology · 2005Article
- Ab initio identification of putative human transcription factor binding sites by comparative genomics.BMC bioinformatics · 2005Article
- Quantifying the relationship between co-expression, co-regulation and gene function.BMC bioinformatics · 2004Article
- Statistical analysis of over-represented words in human promoter sequences.Nucleic acids research · 2004Article
- From co-expression to co-regulation: how many microarray experiments do we need?Genome biology · 2004Article
- Discovery of sequence motifs related to coexpression of genes using evolutionary computation.Nucleic acids research · 2004Article
- Computational inference of transcriptional regulatory networks from expression profiling and transcription factor binding site identification.Nucleic acids research · 2004Article
- SiteSeer: Visualisation and analysis of transcription factor binding sites in nucleotide sequences.Nucleic acids research · 2003Article
- Comprehensive quantitative analyses of the effects of promoter sequence elements on mRNA transcription.Nucleic acids research · 2003Article
- Analysis of cell-cycle gene expression in Saccharomyces cerevisiae using microarrays and multiple synchronization methods.Nucleic acids research · 2002Article
- Transcriptional regulation: a genomic overview.The arabidopsis book · 2002Article
- EBP2 is a member of the yeast RRB regulon, a transcriptionally coregulated set of genes that are required for ribosome and rRNA biosynthesis.Molecular and cellular biology · 2001Article
- PROSPECT improves cis-acting regulatory element prediction by integrating expression profile data with consensus pattern searches.Nucleic acids research · 2001Article
- Computational identification of cis-acting elements affecting post-transcriptional control of gene expression in Saccharomyces cerevisiae.Nucleic acids research · 2000Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
10447512PMC310804W1849539769What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.