Evidence map›Paper›PMID 35089985›Full record

ArticlePloS one2022

Transcription factor specificity limits the number of DNA-binding motifs.

Ariel A Aptekmann, Denys Bulavka, Alejandro D Nadra, Ignacio E Sánchez

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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

4 authors.

Ariel A AptekmannFacultad de Ciencias Exactas y Naturales, Laboratorio de Fisiología de Proteínas, Consejo Nacional de lnvestigaciones Cientificas y Técnicas, Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN), Universidad de Buenos Aires, Buenos Aires, Argentina.
Denys BulavkaFacultad de Ciencias Exactas y Naturales, Laboratorio de Fisiología de Proteínas, Consejo Nacional de lnvestigaciones Cientificas y Técnicas, Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN), Universidad de Buenos Aires, Buenos Aires, Argentina.ORCID 0000-0002-4119-9402
Alejandro D NadraFacultad de Ciencias Exactas y Naturales, Departamento de Fisiología, Biología Molecular y Celular, IB3, Universidad de Buenos Aires, Buenos Aires, Argentina.ORCID 0000-0002-7860-3245
Ignacio E SánchezFacultad de Ciencias Exactas y Naturales, Laboratorio de Fisiología de Proteínas, Consejo Nacional de lnvestigaciones Cientificas y Técnicas, Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN), Universidad de Buenos Aires, Buenos Aires, Argentina.ORCID 0000-0003-4284-9013

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We study the limits imposed by transcription factor specificity on the maximum number of binding motifs that can coexist in a gene regulatory network, using the SwissRegulon Fantom5 collection of 684 human transcription factor binding sites as a model. We describe transcription factor specificity using regular expressions and find that most human transcription factor binding site motifs are separated in sequence space by one to three motif-discriminating positions. We apply theorems based on the pigeonhole principle to calculate the maximum number of transcription factors that can coexist given this degree of specificity, which is in the order of ten thousand and would fully utilize the space of DNA subsequences. Taking into account an expanded DNA alphabet with modified bases can further raise this limit by several orders of magnitude, at a lower level of sequence space usage. Our results may guide the design of transcription factors at both the molecular and system scale.

Indexed as

AlgorithmsBase SequenceBinding SitesDNAHumansNucleotide MotifsProtein BindingTranscription FactorsDNATranscription Factors

Identifiers

PMID35089985
PMCPMC8797260

What OpenQuestion holds

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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.