Evidence map›Paper›PMID 33805436›Full record

ArticleCells2021

DiseaseLinc: Disease Enrichment Analysis of Sets of Differentially Expressed LincRNAs.

Piyush More, Sweta Talyan, Jean-Fred Fontaine, Enrique M Muro, Miguel A Andrade-Navarro

Open access · goldAbstract read
In one paragraph

Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 2 institutions in 1 country.

Piyush MoreUniversity Medical Center, Department of Pharmacology, Johannes Gutenberg University Mainz, 55131 Mainz, Germany.ORCID 0000-0002-6232-6124
Sweta TalyanBioinformatics Core Unit (BCU), Max Planck Institute for Heart and Lung Research, 61231 Bad Nauheim, Germany.
Jean-Fred FontaineFaculty of Biology, Johannes Gutenberg University of Mainz, 55128 Mainz, Germany.ORCID 0000-0002-1101-4091
Enrique M MuroFaculty of Biology, Johannes Gutenberg University of Mainz, 55128 Mainz, Germany.ORCID 0000-0002-5104-6012
Miguel A Andrade-NavarroFaculty of Biology, Johannes Gutenberg University of Mainz, 55128 Mainz, Germany.ORCID 0000-0001-6650-1711
Johannes Gutenberg University Mainz · DEMax Planck Institute for Heart and Lung Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long intergenic non-coding RNAs (LincRNAs) are long RNAs that do not encode proteins. Functional evidence is lacking for most of them. Their biogenesis is not well-known, but it is thought that many lincRNAs originate from genomic duplication of coding material, resulting in pseudogenes, gene copies that lose their original function and can accumulate mutations. While most pseudogenes eventually stop producing a transcript and become erased by mutations, many of these pseudogene-based lincRNAs keep similarity to the parental gene from which they originated, possibly for functional reasons. For example, they can act as decoys for miRNAs targeting the parental gene. Enrichment analysis of function is a powerful tool to discover the functional effects of a treatment producing differential expression of transcripts. However, in the case of lincRNAs, since their function is not easy to define experimentally, such a tool is lacking. To address this problem, we have developed an enrichment analysis tool that focuses on lincRNAs exploiting their functional association, using as a proxy function that of the parental genes and has a focus on human diseases.

Indexed as

Gene Expression ProfilingBreast NeoplasmsDiseaseFemaleGene Expression Regulation, NeoplasticHumansInternetKaplan-Meier EstimatePrognosisRNA, Long NoncodingUser-Computer InterfaceRNA, Long Noncodingdiseasesenrichment analysislincRNAsweb tool

Identifiers

PMID33805436
PMCPMC8065951
OpenAlexW3146440889

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.