Evidence map›Paper›PMID 37399378›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Ancient transcriptional regulators can easily evolve new pair-wise cooperativity.

Kyle R Fowler, Fredrick Leon, Alexander D Johnson

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. 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

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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Neo-functionalization inRoyal Society open science · 2023
    Article
  5. Ancient transcriptional regulators can easily evolve new pair-wise cooperativity.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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.

Kyle R FowlerTETRAD Graduate Program, Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158.ORCID 0000-0003-4244-9706
Fredrick LeonTETRAD Graduate Program, Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158.
Alexander D JohnsonTETRAD Graduate Program, Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158.ORCID 0000-0003-4503-3327

Funding

MECHANISMS OF YEAST TRANSCRIPTIONAL REGULATORSR01GM037049 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSON, ALEXANDER D · 1986 to 2024
$9.4M
NIGMS NIH HHS R01 GM037049
6 · The paper itself

Abstract

Cells regulate gene expression by the specific binding of transcription regulators to cis-regulatory sequences. Pair-wise cooperativity between regulators-whereby two different regulators physically interact and bind DNA in a cooperative manner-is common and permits complex modes of gene regulation. Over evolutionary timescales, the formation of new combinations of regulators represents a major source of phenotypic novelty, facilitating new network structures. How functional, pair-wise cooperative interactions arise between regulators is poorly understood, despite the abundance of examples in extant species. Here, we explore a protein-protein interaction between two ancient transcriptional regulators-the homeodomain protein Matα2 and the MADS box protein Mcm1-that was gained approximately 200 million y ago in a clade of ascomycete yeasts that includes

Indexed as

Saccharomyces cerevisiae ProteinsTranscription FactorsGene Expression RegulationHomeodomain ProteinsSaccharomyces cerevisiaeHomeodomain ProteinsSaccharomyces cerevisiae ProteinsTranscription Factorscooperativityepistasisgene regulationmolecular evolutiontranscription

Identifiers

PMID37399378
PMCPMC10334809

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.