Evidence map›Paper›PMID 38319109›Full record

ArticlemBio2024

Agnodice: indexing experimentally supported bacterial sRNA-RNA interactions.

Vasiliki Kotsira, Giorgos Skoufos, Athanasios Alexiou, Maria Zioga, Spyros Tastsoglou, Filippos S Kardaras, Nikos Perdikopanis, Zacharopoulou Elissavet, Vasileios Gouzouasis, Theodosia Charitou and 1 more

Open access · goldAbstract read
In one paragraph

Article in mBio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

11 authors at 3 institutions in 1 country.

Vasiliki Kotsira *DIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.ORCID 0009-0001-3153-2363
Giorgos Skoufos *DIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Athanasios AlexiouDIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Maria ZiogaDIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Spyros TastsoglouDIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Filippos S KardarasDIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Nikos PerdikopanisDepartment of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece.
Zacharopoulou ElissavetDIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Vasileios GouzouasisHellenic Pasteur Institute, Athens, Greece.
Theodosia CharitouDepartment of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Artemis G HatzigeorgiouDIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
University of Thessaly · GRDemocritus University of Thrace · GRNational and Kapodistrian University of Athens · GR

Funding

EC | European Regional Development Fund (ERDF) Τ2ΕΔΚ-00391University of Thessaly
6 · The paper itself

Abstract

In the last decade, the immense growth in the field of bacterial small RNAs (sRNAs), along with the biotechnological breakthroughs in Deep Sequencing permitted the deeper understanding of sRNA-RNA interactions. However, microbiology is currently lacking a thoroughly curated collection of this rapidly expanding universe. We present Agnodice (https://dianalab.e-ce.uth.gr/agnodice), our effort to systematically catalog and annotate experimentally supported bacterial sRNA-RNA interactions. Agnodice, for the first time, incorporates thousands of bacterial sRNA-RNA interactions derived from a diverse set of experimental methodologies including state-of-the-art Deep Sequencing interactome identification techniques. It comprises 39,600 entries which are annotated at strain-level resolution and pertain to 399 sRNAs and 12,137 target RNAs identified in 71 bacterial strains. The database content is exclusively experimentally supported, incorporating interactions derived via low yield as well as state-of-the-art high-throughput methods. The entire content of the database is freely accessible and can be directly downloaded for further analysis. Agnodice will serve as a valuable source, enabling microbiologists to form novel hypotheses, design/identify novel sRNA-based drug targets, and explore the therapeutic potential of microbiomes from the perspective of small regulatory RNAs.IMPORTANCEAgnodice (https://dianalab.e-ce.uth.gr/agnodice) is an effort to systematically catalog and annotate experimentally supported bacterial small RNA (sRNA)-RNA interactions. Agnodice, for the first time, incorporates thousands of bacterial sRNA-RNA interactions derived from a diverse set of experimental methodologies including state-of-the-art Next Generation Sequencing interactome identification techniques.

Indexed as

RNA, BacterialRNA, Small UntranslatedBacteriaGene Expression Regulation, BacterialRNA, BacterialRNA, Small UntranslatedbacteriainteractionsmicrobiologyRNA regulationsmall RNAs

Identifiers

PMID38319109
PMCPMC10936433
OpenAlexW4391576703

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.