Evidence map›Paper›PMID 19265799›Full record

ArticleNature protocols2009

Universal protein-binding microarrays for the comprehensive characterization of the DNA-binding specificities of transcription factors.

Michael F Berger, Martha L Bulyk

Abstract read
In one paragraph

Article in Nature protocols, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 243 papers.

0numbers the graph read from it
0cells of the map it votes in
243citing 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

243 citing papers in PubMed.

  1. Inferring Gene Regulatory Networks in Stem Cells: Methods and Applications.Methods in molecular biology (Clifton, N.J.) · 2027
    Review
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  7. Defining the DNA Binding Specificity of GRHL2.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Article
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  12. Structural Basis of a Novel Heme Binding Bacterial One-Component Switch.bioRxiv : the preprint server for biology · 2026
    Article
  13. Article
  14. Article
  15. Article
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183 more citing papers are in PubMed but not listed here.

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

2 authors.

Michael F BergerDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA.
Martha L Bulyk

Funding

Universal, Compact Combinatorial Microarrays for DNA Binding Site DiscoveryR01HG003985 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI BULYK, MARTHA L · 2006 to 2017
$4.9M
NHGRI NIH HHS R01 HG003985
6 · The paper itself

Abstract

Protein-binding microarray (PBM) technology provides a rapid, high-throughput means of characterizing the in vitro DNA-binding specificities of transcription factors (TFs). Using high-density, custom-designed microarrays containing all 10-mer sequence variants, one can obtain comprehensive binding-site measurements for any TF, regardless of its structural class or species of origin. Here, we present a protocol for the examination and analysis of TF-binding specificities at high resolution using such 'all 10-mer' universal PBMs. This procedure involves double-stranding a commercially synthesized DNA oligonucleotide array, binding a TF directly to the double-stranded DNA microarray and labeling the protein-bound microarray with a fluorophore-conjugated antibody. We describe how to computationally extract the relative binding preferences of the examined TF for all possible contiguous and gapped 8-mers over the full range of affinities, from highest affinity sites to nonspecific sites. Multiple proteins can be tested in parallel in separate chambers on a single microarray, enabling the processing of a dozen or more TFs in a single day.

Indexed as

Binding SitesDNADNA-Binding ProteinsImage Processing, Computer-AssistedProtein Array AnalysisSequence Analysis, DNATranscription FactorsDNADNA-Binding ProteinsTranscription Factors

Identifiers

PMID19265799
PMCPMC2908410

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Registered trials

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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.