Evidence map›Paper›PMID 32487739›Full record

ArticlemSystems2020

Inference of Bacterial Small RNA Regulatory Networks and Integration with Transcription Factor-Driven Regulatory Networks.

Mario L Arrieta-Ortiz, Christoph Hafemeister, Bentley Shuster, Nitin S Baliga, Richard Bonneau, Patrick Eichenberger

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  6. Review
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  9. Article
  10. Specific and Global RNA Regulators inInternational journal of molecular sciences · 2021
    Review
  11. Article
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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

6 authors at 3 institutions in 1 country.

Mario L Arrieta-OrtizCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, New York, USA.
Christoph HafemeisterCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, New York, USA.ORCID https://orcid.org/0000-0001-6365-8254
Bentley ShusterCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, New York, USA.
Nitin S BaligaInstitute for Systems Biology, Seattle, Washington, USA.
Richard BonneauCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, New York, USA rb133@nyu.edu pe19@nyu.edu.
Patrick EichenbergerCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, New York, USA rb133@nyu.edu pe19@nyu.edu.ORCID https://orcid.org/0000-0002-6027-9651
New York University · USInstitute for Systems Biology · USFlatiron Health (United States) · US

Funding

Technology CoreU19AI106761 · NIAID · SEATTLE BIOMEDICAL RESEARCH INSTITUTE · PI SHERMAN, DAVID R, ZAK, DANIEL E · 2013 to 2017
$18.9M
A systems analysis of drug tolerance in Mycobacterium tuberculosisR01AI128215 · NIAID · INSTITUTE FOR SYSTEMS BIOLOGY · PI Nitin S Baliga · 2017 to 2026
$8.8M
Site Specific Immunophenotyping Assays of COVID19 Patients to Align with NIAID National StudyR01AI141953 · NIAID · INSTITUTE FOR SYSTEMS BIOLOGY · PI BALIGA, NITIN S · 2019 to 2023
$5.7M
Training Program in Immunology and Inflammation.T32AI100853 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Susan Ruth Schwab · 2012 to 2026
$4.5M
A network model of the gut host-microbe ecosystem in Inflammatory Bowel DiseaseR01DK103358 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BONNEAU, RICHARD A, LITTMAN, DAN · 2014 to 2018
$3.2M
Enhancer Driven Gene Regulation During Lymphocyte DevelopmentR01GM112192 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SKOK, JANE AMANDA · 2014 to 2016
$1.6M
NIAID NIH HHS R01 AI128215NIAID NIH HHS R01 AI141953NIAID NIH HHS T32 AI100853NIAID NIH HHS U19 AI106761NIDDK NIH HHS R01 DK103358NIGMS NIH HHS R01 GM112192
6 · The paper itself

Abstract

Small noncoding RNAs (sRNAs) are key regulators of bacterial gene expression. Through complementary base pairing, sRNAs affect mRNA stability and translation efficiency. Here, we describe a network inference approach designed to identify sRNA-mediated regulation of transcript levels. We use existing transcriptional data sets and prior knowledge to infer sRNA regulons using our network inference tool, the

Indexed as

gene networksglobal regulationsmall RNAs

Identifiers

PMID32487739
PMCPMC8534726
OpenAlexW3029675073

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.