Evidence map›Paper›PMID 17290819›Full record

ReviewAdvances in biochemical engineering/biotechnology2007

Protein binding microarrays for the characterization of DNA-protein interactions.

Martha L Bulyk

Abstract readReview
In one paragraph

Review in Advances in biochemical engineering/biotechnology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. DNA methylation shapes transcription factor binding beyond canonical CpG contexts.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

1 author.

Martha L BulykDivision of Genetics, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, Harvard Medical School New Research Bldg., Room 466D, 77 Avenue Louis Pasteur, Boston, MA 02115, USA. mlbulyk@receptor.med.harvard.edu

Funding

Eukaryotic Transcription Factor Binding Site LocationsR01HG002966 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI BULYK, MARTHA L · 2003 to 2007
$1.9M
Yeast Transcription Factor Binding SpecificitiesR01HG003420 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI BULYK, MARTHA L · 2004 to 2008
$1.8M
NHGRI NIH HHS R01 HG002966NHGRI NIH HHS R01 HG003420
6 · The paper itself

Abstract

A number of important cellular processes, such as transcriptional regulation, recombination, replication, repair, and DNA modification, are performed by DNA binding proteins. Of particular interest are transcription factors (TFs) which, through their sequence-specific interactions with DNA binding sites, modulate gene expression in a manner required for normal cellular growth and differentiation, and also for response to environmental stimuli. Despite their importance, the DNA binding specificities of most DNA binding proteins still remain unknown, since prior technologies aimed at identifying DNA-protein interactions have been laborious, not highly scalable, or have required limiting biological reagents. Recently a new DNA microarray-based technology, termed protein binding microarrays (PBMs), has been developed that allows rapid, high-throughput characterization of the in vitro DNA binding site sequence specificities of TFs, other DNA binding proteins, or synthetic compounds. DNA binding site data from PBMs combined with gene annotation data, comparative sequence analysis, and gene expression profiling, can be used to predict what genes are regulated by a given TF, what the functions are of a given TF and its predicted target genes, and how that TF may fit into the cell's transcriptional regulatory network.

Indexed as

Binding SitesDNADNA-Binding ProteinsOligonucleotide Array Sequence AnalysisProtein Array AnalysisProtein BindingTranscription FactorsDNADNA-Binding ProteinsTranscription Factors

Identifiers

PMID17290819
PMCPMC2727742

What OpenQuestion holds

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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.