Evidence map›Paper›PMID 34438997›Full record

ArticleAntibiotics (Basel, Switzerland)2021

Interplay between Non-Coding RNA Transcription, Stringent/Relaxed Phenotype and Antibiotic Production in

Eva Pinatel, Matteo Calcagnile, Adelfia Talà, Fabrizio Damiano, Luisa Siculella, Clelia Peano, Giuseppe Egidio De Benedetto, Antonio Pennetta, Gianluca De Bellis, Pietro Alifano

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Eva PinatelInstitute of Biomedical Technologies, National Research Council, 20090 Segrate, Italy.
Matteo CalcagnileDepartment of Biological and Environmental Sciences and Technologies, University of Salento, Via Monteroni, 73100 Lecce, Italy.ORCID 0000-0001-9745-4583
Adelfia TalàDepartment of Biological and Environmental Sciences and Technologies, University of Salento, Via Monteroni, 73100 Lecce, Italy.
Fabrizio DamianoDepartment of Biological and Environmental Sciences and Technologies, University of Salento, Via Monteroni, 73100 Lecce, Italy.ORCID 0000-0001-7828-9519
Luisa SiculellaDepartment of Biological and Environmental Sciences and Technologies, University of Salento, Via Monteroni, 73100 Lecce, Italy.ORCID 0000-0002-6890-3674
Clelia PeanoInstitute for Genetic and Biomedical Research, Operative Unit (UoS) of Milan, National Research Council, 20089 Rozzano, Italy.
Giuseppe Egidio De BenedettoDepartment of Cultural Heritage, University of Salento, Via Monteroni, 73100 Lecce, Italy.ORCID 0000-0002-0832-5470
Antonio PennettaDepartment of Cultural Heritage, University of Salento, Via Monteroni, 73100 Lecce, Italy.ORCID 0000-0002-6760-9393
Gianluca De BellisInstitute of Biomedical Technologies, National Research Council, 20090 Segrate, Italy.
Pietro AlifanoDepartment of Biological and Environmental Sciences and Technologies, University of Salento, Via Monteroni, 73100 Lecce, Italy.

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca PON01_02093Ministero dell'Istruzione, dell'Università e della Ricerca PRIN 2017SFBFER
6 · The paper itself

Abstract

While in recent years the key role of non-coding RNAs (ncRNAs) in the regulation of gene expression has become increasingly evident, their interaction with the global regulatory circuits is still obscure. Here we analyzed the structure and organization of the transcriptome of

Indexed as

antibiotic productionncRNAre-defined transcriptomeStreptomycesstringent response

Identifiers

PMID34438997
PMCPMC8388888

What OpenQuestion holds

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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.