Evidence map›Paper›PMID 20864494›Full record

ReviewBriefings in functional genomics2010

Experimental strategies for studying transcription factor-DNA binding specificities.

Marcel Geertz, Sebastian J Maerkl

Abstract readReview
In one paragraph

Review in Briefings in functional genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Review
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  7. Review
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  9. Review
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  12. Virusdisease · 2020
    Article
  13. Steroidogenesis and its regulation in teleost-a review.Fish physiology and biochemistry · 2020
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Computational Analysis of Altering Cell Fate.Methods in molecular biology (Clifton, N.J.) · 2019
    Article
  20. Article
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.

Marcel GeertzUniversity of Geneva, Switzerland.
Sebastian J Maerkl

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Specific binding of transcription factors (TFs) determines in a large part the connectivity of gene regulatory networks as well as the quantitative level of gene expression. A multiplicity of both experimental and computational methods is currently used to discover and characterize the underlying TF-DNA interactions. Experimental methods can be further subdivided into in vitro- and in vivo-based approaches, each accenting different aspects of TF-binding events. In this review we summarize the flexibility and performance of a selection of both types of experimental methods. In conclusion, we argue that a serial combination of methods with different throughput and data type constitutes an optimal experimental strategy.

Indexed as

AnimalsDNAGene Regulatory NetworksHumansMethodsProtein BindingTranscription FactorsDNATranscription Factors

Identifiers

PMID20864494
PMCPMC3080775

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.