Evidence map›Paper›PMID 28430951›Full record

ArticleGenome biology and evolution2017

Evidence for a Strong Correlation Between Transcription Factor Protein Disorder and Organismic Complexity.

Inmaculada Yruela, Christopher J Oldfield, Karl J Niklas, A Keith Dunker

Abstract read
In one paragraph

Article in Genome biology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Current Challenges of Transcription Compartmentalization Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Inferring Gene Networks from High-Throughput Transcriptomes.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Review
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  11. Computational prediction of disordered binding regions.Computational and structural biotechnology journal · 2023
    Review
  12. HSF1, Aging, and Neurodegeneration.Advances in experimental medicine and biology · 2023
    Review
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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.

Inmaculada YruelaEstación Experimental de Aula Dei, Consejo Superior de Investigaciones Científicas (EEAD-CSIC), Zaragoza, Spain.
Christopher J OldfieldDepartment of Biochemistry and Molecular Biology, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN.
Karl J NiklasSchool of Integrative Plant Science, Cornell University, Ithaca, NY.
A Keith DunkerDepartment of Biochemistry and Molecular Biology, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies of diverse phylogenetic lineages reveal that protein disorder increases in concert with organismic complexity but that differences nevertheless exist among lineages. To gain insight into this phenomenology, we analyzed all of the transcription factor (TF) families for which sequences are known for 17 species spanning bacteria, yeast, algae, land plants, and animals and for which the number of different cell types has been reported in the primary literature. Although the fraction of disordered residues in TF sequences is often moderately or poorly correlated with organismic complexity as gauged by cell-type number (r2 < 0.5), an unbiased and phylogenetically broad analysis shows that organismic complexity is positively and strongly correlated with the total number of TFs, the number of their spliced variants and their total disordered residues content (r2 > 0.8). Furthermore, the correlation between the fraction of disordered residues and cell-type number becomes stronger when confined to the TF families participating in cell cycle, cell size, cell division, cell differentiation, or cell proliferation, and other important developmental processes. The data also indicate that evolutionarily simpler organisms allow for the detection of subtle differences in the conserved IDRs of TFs as well as changes in variable IDRs, which can influence the DNA recognition and multifunctionality of TFs through direct or indirect mechanisms. Although strong correlations cannot be taken as evidence for cause-and-effect relationships, we interpret our data to indicate that increasing TF disorder likely was an important factor contributing to the evolution of organismic complexity and not merely a concurrent unrelated effect of increasing organismic complexity.

Indexed as

Amino Acid MotifsAnimalsEukaryotaEvolution, MolecularHumansPlantsTranscription FactorsTranscription Factorscell-type numbercomplexityevolutionintrinsically disordered protein (IDP)transcription factors

Identifiers

PMID28430951
PMCPMC5434936

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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.