Evidence map›Paper›PMID 31754718›Full record

ArticleNucleic acids research2020

MiST 3.0: an updated microbial signal transduction database with an emphasis on chemosensory systems.

Vadim M Gumerov, Davi R Ortega, Ogun Adebali, Luke E Ulrich, Igor B Zhulin

Abstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing 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

87 citing papers in PubMed.

  1. Article
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  3. Microorganisms · 2025
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  19. Amine-recognizing domain in diverse receptors from bacteria and archaea evolved from the universal amino acid sensor.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  20. Article

27 more citing papers are in PubMed but not listed here.

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

5 authors.

Vadim M GumerovDepartment of Microbiology, The Ohio State University, Columbus, OH 43210, USA.
Davi R OrtegaDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Ogun AdebaliMolecular Biology, Genetics and Bioengineering Program, Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey.
Luke E UlrichUlritech, LLC, Mount Pleasant, SC 29466, USA.
Igor B ZhulinDepartment of Microbiology, The Ohio State University, Columbus, OH 43210, USA.

Funding

Culturing of the uncultured: reverse genomics and multispecies consortia in oralR01DE024463 · NIDCR · UT-BATTELLE, LLC-OAK RIDGE NATIONAL LAB · PI JOULINE, IGOR B., LEYS, EUGENE J · 2014 to 2018
$8.2M
Computational Genomics of Signal TransductionR35GM131760 · NIGMS · OHIO STATE UNIVERSITY · PI Igor B. Jouline · 2019 to 2026
$3.2M
NIDCR NIH HHS R01 DE024463NIGMS NIH HHS R35 GM131760
6 · The paper itself

Abstract

Bacteria and archaea employ dedicated signal transduction systems that modulate gene expression, second-messenger turnover, quorum sensing, biofilm formation, motility, host-pathogen and beneficial interactions. The updated MiST database provides a comprehensive classification of microbial signal transduction systems. This update is a result of a substantial scaling to accommodate constantly growing microbial genomic data. More than 125 000 genomes, 516 million genes and almost 100 million unique protein sequences are currently stored in the database. For each bacterial and archaeal genome, MiST 3.0 provides a complete signal transduction profile, thus facilitating theoretical and experimental studies on signal transduction and gene regulation. New software infrastructure and distributed pipeline implemented in MiST 3.0 enable regular genome updates based on the NCBI RefSeq database. A novel MiST feature is the integration of unique profile HMMs to link complex chemosensory systems with corresponding chemoreceptors in bacterial and archaeal genomes. The data can be explored online or via RESTful API (freely available at https://mistdb.com).

Indexed as

Databases, GeneticGenome, ArchaealGenome, BacterialSoftwareGene Expression Regulation, ArchaealGene Expression Regulation, BacterialSignal Transduction

Identifiers

PMID31754718
PMCPMC6943060

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.