Evidence map›Paper›PMID 15930495›Full record

ArticleGenome research2005

Discovering functional transcription-factor combinations in the human cell cycle.

Zhou Zhu, Jay Shendure, George M Church

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 89 citations in OpenAlex.

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  11. Statistical significance of combinatorial regulations.Proceedings of the National Academy of Sciences of the United States of America · 2013
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  12. Targeting the Y/CCAAT box in cancer: YB-1 (YBX1) or NF-Y?Cell death and differentiation · 2013
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  17. Comparative analysis of MTF-1 binding sites between human and mouse.Mammalian genome : official journal of the International Mammalian Genome Society · 2010
    Article
  18. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Zhou ZhuDepartment of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA. zhou-zhu@student.hms.harvard.edu
Jay Shendure
George M Church
Harvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the completion of full genome sequences and advancement in high-throughput technologies, in silico methods have been successfully used to integrate diverse data sources toward unraveling the combinatorial nature of transcriptional regulation. So far, almost all of these studies are restricted to lower eukaryotes such as budding yeast. We describe here a computational search for functional transcription-factor (TF) combinations using phylogenetically conserved sequences and microarray-based expression data. Taking into account both orientational and positional constraints, we investigated the overrepresentation of binding sites in the vicinity of one another and whether these combinations result in more coherent expression profiles. Without any prior biological knowledge, the search led to the discovery of several experimentally established TF associations, as well as some novel ones. In particular, we identified a regulatory module controlling cell cycle-dependent transcription of G2-M genes and expanded its functional generality. We also detected many homotypic combinations, supporting the importance of binding-site density in transcriptional regulation of higher eukaryotes.

Indexed as

Genome, HumanModels, GeneticTranscription, GeneticG2 PhaseGene Expression RegulationHumansSequence Analysis, DNATranscription FactorsTranscription Factors

Identifiers

PMID15930495
PMCPMC1142475
OpenAlexW1980507776

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.