Treffer: LncPlankton: a comprehensive database of candidate lncRNAs from marine microbial eukaryotes.

Title:
LncPlankton: a comprehensive database of candidate lncRNAs from marine microbial eukaryotes.
Authors:
Debit A; Institut de Biologie de l'ENS (IBENS), Département de biologie, École normale supérieure, CNRS, INSERM, Université PSL, Paris 75005, France., Vincens P; Institut de Biologie de l'ENS (IBENS), Département de biologie, École normale supérieure, CNRS, INSERM, Université PSL, Paris 75005, France., Bowler C; Institut de Biologie de l'ENS (IBENS), Département de biologie, École normale supérieure, CNRS, INSERM, Université PSL, Paris 75005, France., Cruz de Carvalho H; Institut de Biologie de l'ENS (IBENS), Département de biologie, École normale supérieure, CNRS, INSERM, Université PSL, Paris 75005, France.; Faculté des Sciences et Technologie, Université Paris Est-Créteil (UPEC), 61, avenue du Général De Gaulle, Créteil 94000, France.
Source:
NAR genomics and bioinformatics [NAR Genom Bioinform] 2025 Nov 21; Vol. 7 (4), pp. lqaf159. Date of Electronic Publication: 2025 Nov 21 (Print Publication: 2025).
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Oxford University Press Country of Publication: England NLM ID: 101756213 Publication Model: eCollection Cited Medium: Internet ISSN: 2631-9268 (Electronic) Linking ISSN: 26319268 NLM ISO Abbreviation: NAR Genom Bioinform Subsets: MEDLINE
Imprint Name(s):
Original Publication: [Oxford] : Oxford University Press, [2019]-
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Molecular Sequence:
figshare 10.6084/m9.figshare.24799632.v2
Substance Nomenclature:
0 (RNA, Long Noncoding)
Entry Date(s):
Date Created: 20251124 Date Completed: 20251124 Latest Revision: 20251126
Update Code:
20251126
PubMed Central ID:
PMC12634410
DOI:
10.1093/nargab/lqaf159
PMID:
41278533
Database:
MEDLINE

Weitere Informationen

Historically neglected or considered to be mere transcriptional noise, long non-coding RNAs (lncRNAs) are now emerging as central, regulatory molecules in a multitude of eukaryotic species, from animals to plants to fungi. Yet, our knowledge about the occurrence of these molecules in the marine environment is still elusive. To help fill this knowledge gap, we have developed LncPlankton, a comprehensive database of candidate marine lncRNAs. By integrating the predictions derived from 10 distinctive coding potential prediction tools in a majority voting setting, we have identified over 2M potential lncRNAs distributed across 414 marine plankton species from over nine different phyla. A user-friendly, open-access web interface of the database has been implemented to facilitate exploration (https://www.lncplankton.bio.ens.psl.eu/). We believe LncPlankton will serve as a rich resource for studies of lncRNAs, which will contribute to small- and large-scale analyses in a wide range of marine plankton species and allow comparative studies between them and well beyond the marine environment.
(© The Author(s) 2025. Published by Oxford University Press.)

None declared.