Evidence map›Paper›PMID 16984633›Full record

ArticleBMC genomics2006

Coding limits on the number of transcription factors.

Shalev Itzkovitz, Tsvi Tlusty, Uri Alon

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC genomics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

43 citing papers in PubMed, 96 citations in OpenAlex.

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  3. Marginal specificity in protein interactions constrains evolution of a paralogous family.Proceedings of the National Academy of Sciences of the United States of America · 2023
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  8. Frontiers in genetics · 2019
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  12. Information capacity of specific interactions.Proceedings of the National Academy of Sciences of the United States of America · 2016
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  16. Article
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  18. Article
  19. Early evolution of the T-box transcription factor family.Proceedings of the National Academy of Sciences of the United States of America · 2013
    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

3 authors at 1 institution in 1 country.

Shalev ItzkovitzDept Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel. shalev.itzkovitz@weizmann.ac.il
Tsvi Tlusty
Uri Alon
Weizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTranscription factor proteins bind specific DNA sequences to control the expression of genes. They contain DNA binding domains which belong to several super-families, each with a specific mechanism of DNA binding. The total number of transcription factors encoded in a genome increases with the number of genes in the genome. Here, we examined the number of transcription factors from each super-family in diverse organisms.

resultsWe find that the number of transcription factors from most super-families appears to be bounded. For example, the number of winged helix factors does not generally exceed 300, even in very large genomes. The magnitude of the maximal number of transcription factors from each super-family seems to correlate with the number of DNA bases effectively recognized by the binding mechanism of that super-family. Coding theory predicts that such upper bounds on the number of transcription factors should exist, in order to minimize cross-binding errors between transcription factors. This theory further predicts that factors with similar binding sequences should tend to have similar biological effect, so that errors based on mis-recognition are minimal. We present evidence that transcription factors with similar binding sequences tend to regulate genes with similar biological functions, supporting this prediction.

conclusionThe present study suggests limits on the transcription factor repertoire of cells, and suggests coding constraints that might apply more generally to the mapping between binding sites and biological function.

Indexed as

Information TheoryMultigene FamilyAmino Acid MotifsAnimalsBacteriaBacterial ProteinsBinding SitesDimerizationDNAFungal ProteinsFungiHumansInvertebratesPlant ProteinsPlantsProtein BindingBacterial ProteinsDNAFungal ProteinsPlant ProteinsTranscription Factors

Identifiers

PMID16984633
PMCPMC1590034
OpenAlexW2099035403

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.