Evidence map›Paper›PMID 16998473›Full record

ArticleNature biotechnology2006

Compact, universal DNA microarrays to comprehensively determine transcription-factor binding site specificities.

Michael F Berger, Anthony A Philippakis, Aaron M Qureshi, Fangxue S He, Preston W Estep, Martha L Bulyk

Abstract read
In one paragraph

Article in Nature biotechnology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 430 papers.

0numbers the graph read from it
0cells of the map it votes in
430citing papers in PubMed
12.9field-weighted citation impact, top 1% of its field
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

430 citing papers in PubMed, 714 citations in OpenAlex.

  1. Article
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  7. Defining the DNA Binding Specificity of GRHL2.bioRxiv : the preprint server for biology · 2026
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  8. PoolParty: streamlined design of DNA sequence libraries in Python.bioRxiv : the preprint server for biology · 2026
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  13. Structural Basis of a Novel Heme Binding Bacterial One-Component Switch.bioRxiv : the preprint server for biology · 2026
    Article
  14. Article
  15. Article
  16. DNA methylation shapes transcription factor binding beyond canonical CpG contexts.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article

370 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

6 authors at 3 institutions in 1 country.

Michael F BergerDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA.
Anthony A Philippakis
Aaron M Qureshi
Fangxue S He
Preston W Estep
Martha L Bulyk
Brigham and Women's Hospital · USHarvard–MIT Division of Health Sciences and Technology · USHarvard University · US

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
Yeast Transcription Factor Binding SpecificitiesR01HG003420 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI BULYK, MARTHA L · 2004 to 2008
$1.8M
NHGRI NIH HHS R01 HG003420NHGRI NIH HHS R01 HG003985
6 · The paper itself

Abstract

Transcription factors (TFs) interact with specific DNA regulatory sequences to control gene expression throughout myriad cellular processes. However, the DNA binding specificities of only a small fraction of TFs are sufficiently characterized to predict the sequences that they can and cannot bind. We present a maximally compact, synthetic DNA sequence design for protein binding microarray (PBM) experiments that represents all possible DNA sequence variants of a given length k (that is, all 'k-mers') on a single, universal microarray. We constructed such all k-mer microarrays covering all 10-base pair (bp) binding sites by converting high-density single-stranded oligonucleotide arrays to double-stranded (ds) DNA arrays. Using these microarrays we comprehensively determined the binding specificities over a full range of affinities for five TFs of different structural classes from yeast, worm, mouse and human. The unbiased coverage of all k-mers permits high-throughput interrogation of binding site preferences, including nucleotide interdependencies, at unprecedented resolution.

Indexed as

Protein BindingAnimalsBasic Helix-Loop-Helix Leucine Zipper Transcription FactorsBinding SitesCaenorhabditis elegansCaenorhabditis elegans ProteinsEarly Growth Response Protein 1Homeodomain ProteinsHumansMiceOctamer Transcription Factor-1Oligonucleotide Array Sequence AnalysisSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsShelterin ComplexTelomere-Binding ProteinsBasic Helix-Loop-Helix Leucine Zipper Transcription FactorsCaenorhabditis elegans ProteinsCBF1 protein, S cerevisiaeCEH-22 protein, C elegansEarly Growth Response Protein 1Egr1 protein, mouseHomeodomain ProteinsOctamer Transcription Factor-1RAP1 protein, S cerevisiaeSaccharomyces cerevisiae ProteinsShelterin ComplexTelomere-Binding ProteinsTranscription Factors

Identifiers

PMID16998473
PMCPMC4419707
OpenAlexW1994122295

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.