Evidence map›Paper›PMID 33971818›Full record

ArticleBMC genomics2021

Identification of the conserved long non-coding RNAs in myogenesis.

Anupam Bhattacharya, Simang Champramary, Tanya Tripathi, Debajit Thakur, Ilya Ioshikhes, Satyendra Kumar Singh, Soumyadeep Nandi

Open access · goldAbstract read
In one paragraph

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

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0citing papers in PubMed
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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

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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, 1 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

7 authors at 5 institutions in 3 countries.

Anupam BhattacharyaDivision of Life Sciences, Institute of Advanced Study in Science and Technology, Vigyan Path, Paschim Boragaon, Garchuk, Guwahati, Assam, India.
Simang ChampramaryUniversity of Szeged Faculty of Science and Informatics, Szeged, 6720, Hungary.
Tanya TripathiStem Cell & Cell Culture Lab, Centre For Advanced Research (CFAR), King George's Medical University, Lucknow, UP, India.
Debajit ThakurDivision of Life Sciences, Institute of Advanced Study in Science and Technology, Vigyan Path, Paschim Boragaon, Garchuk, Guwahati, Assam, India.
Ilya IoshikhesOttawa Institute of Computational Biology and Bioinformatics (OICBB), Ottawa Institute of Systems Biology (OISB), Department of Biochemistry, Microbiology and Immunology (BMI),Faculty of Medicine, University of Ottawa, Ottawa, Canada.
Satyendra Kumar SinghStem Cell & Cell Culture Lab, Centre For Advanced Research (CFAR), King George's Medical University, Lucknow, UP, India.
Soumyadeep NandiData Sciences and Computational Biology Centre, Amity Institute of Integrative Sciences and Health, Amity University Haryana, Gurugram, Manesar, 122413, Haryana, India. snandi@ggn.amity.edu.
King George's Medical University · INCotton University · INInstitute of Advanced Study in Science and Technology · INUniversity of Ottawa · CAUniversity of Sopron · HU

Funding

Department of Biotechnology , Ministry of Science and Technology BT/RLF/Re-entry/48/2013
6 · The paper itself

Abstract

backgroundOur understanding of genome regulation is ever-evolving with the continuous discovery of new modes of gene regulation, and transcriptomic studies of mammalian genomes have revealed the presence of a considerable population of non-coding RNA molecules among the transcripts expressed. One such non-coding RNA molecule is long non-coding RNA (lncRNA). However, the function of lncRNAs in gene regulation is not well understood; moreover, finding conserved lncRNA across species is a challenging task. Therefore, we propose a novel approach to identify conserved lncRNAs and functionally annotate these molecules.

resultsIn this study, we exploited existing myogenic transcriptome data and identified conserved lncRNAs in mice and humans. We identified the lncRNAs expressing differentially between the early and later stages of muscle development. Differential expression of these lncRNAs was confirmed experimentally in cultured mouse muscle C2C12 cells. We utilized the three-dimensional architecture of the genome and identified topologically associated domains for these lncRNAs. Additionally, we correlated the expression of genes in domains for functional annotation of these trans-lncRNAs in myogenesis. Using this approach, we identified conserved lncRNAs in myogenesis and functionally annotated them.

conclusionsWith this novel approach, we identified the conserved lncRNAs in myogenesis in humans and mice and functionally annotated them. The method identified a large number of lncRNAs are involved in myogenesis. Further studies are required to investigate the reason for the conservation of the lncRNAs in human and mouse while their sequences are dissimilar. Our approach can be used to identify novel lncRNAs conserved in different species and functionally annotated them.

Indexed as

RNA, Long NoncodingAnimalsComputational BiologyGenomeMiceMuscle DevelopmentTranscriptomeRNA, Long Noncoding

Identifiers

PMID33971818
PMCPMC8112034
OpenAlexW3160468277

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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.