Evidence map›Paper›PMID 28824593›Full record

ArticleFrontiers in microbiology2017

Genome-Wide Mapping of Transcriptional Regulation and Metabolism Describes Information-Processing Units in

Daniela Ledezma-Tejeida, Cecilia Ishida, Julio Collado-Vides

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Topological Environment in Genetic and Metabolic Networks.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Sensory Systems and Transcriptional Regulation inFrontiers in bioengineering and biotechnology · 2022
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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.

Daniela Ledezma-TejeidaPrograma de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de MéxicoCuernavaca, Mexico.
Cecilia IshidaPrograma de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de MéxicoCuernavaca, Mexico.
Julio Collado-VidesPrograma de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de MéxicoCuernavaca, Mexico.

Funding

HIGH THROUGHPUT LITERATURE CURATION OF GENETIC REGULATION IN BACTERIAL MODELSR01GM110597 · NIGMS · CENTER FOR GENOMIC SCIENCES · PI COLLADO-VIDES, JULIO · 2015 to 2018
$1.6M
NIGMS NIH HHS R01 GM110597
6 · The paper itself

Abstract

In the face of changes in their environment, bacteria adjust gene expression levels and produce appropriate responses. The individual layers of this process have been widely studied: the transcriptional regulatory network describes the regulatory interactions that produce changes in the metabolic network, both of which are coordinated by the signaling network, but the interplay between them has never been described in a systematic fashion. Here, we formalize the process of detection and processing of environmental information mediated by individual transcription factors (TFs), utilizing a concept termed genetic sensory response units (GENSOR units), which are composed of four components: (1) a signal, (2) signal transduction, (3) genetic switch, and (4) a response. We used experimentally validated data sets from two databases to assemble a GENSOR unit for each of the 189 local TFs of

Indexed as

data integrationeffector predictiongenotype-to-phenotype mappinginformation flowmetabolismnetworkstranscriptional regulation

Identifiers

PMID28824593
PMCPMC5540944

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.