Evidence map›Paper›PMID 33861746›Full record

ArticlePLoS computational biology2021

Genome-wide analysis of lncRNA stability in human.

Kaiwen Shi, Tao Liu, Hanjiang Fu, Wuju Li, Xiaofei Zheng

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  5. Review
  6. Mapping rat lncRNA Bdnf-as.Molecular biology reports · 2025
    Article
  7. Article
  8. Long Non-Coding RNAs Differentially Expressed in Swine Fetuses.Animals : an open access journal from MDPI · 2024
    Article
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  10. Review
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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 1 institution in 1 country.

Kaiwen ShiInstitute of Military Cognition and Brain Sciences, Academy of Military Medicine, Beijing, China.ORCID 0000-0002-7688-6018
Tao LiuInstitute of Military Cognition and Brain Sciences, Academy of Military Medicine, Beijing, China.
Hanjiang FuBeijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, China.ORCID 0000-0002-4352-1178
Wuju LiInstitute of Military Cognition and Brain Sciences, Academy of Military Medicine, Beijing, China.ORCID 0000-0003-4613-9692
Xiaofei ZhengBeijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, China.
Academy of Military Medical Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcript stability is associated with many biological processes, and the factors affecting mRNA stability have been extensively studied. However, little is known about the features related to human long noncoding RNA (lncRNA) stability. By inhibiting transcription and collecting samples in 10 time points, genome-wide RNA-seq studies was performed in human lung adenocarcinoma cells (A549) and RNA half-life datasets were constructed. The following observations were obtained. First, the half-life distributions of both lncRNAs and messanger RNAs (mRNAs) with one exon (lnc-human1 and m-human1) were significantly different from those of both lncRNAs and mRNAs with more than one exon (lnc-human2 and m-human2). Furthermore, some factors such as full-length transcript secondary structures played a contrary role in lnc-human1 and m-human2. Second, through the half-life comparisons of nucleus- and cytoplasm-specific and common lncRNAs and mRNAs, lncRNAs (mRNAs) in the nucleus were found to be less stable than those in the cytoplasm, which was derived from transcripts themselves rather than cellular location. Third, kmers-based protein-RNA or RNA-RNA interactions promoted lncRNA stability from lnc-human1 and decreased mRNA stability from m-human2 with high probability. Finally, through applying deep learning-based regression, a non-linear relationship was found to exist between the half-lives of lncRNAs (mRNAs) and related factors. The present study established lncRNA and mRNA half-life regulation networks in the A549 cell line and shed new light on the degradation behaviors of both lncRNAs and mRNAs.

Indexed as

Genome, HumanRNA StabilityTranscription, GeneticA549 CellsDatasets as TopicExonsGene Expression ProfilingHalf-LifeHumansNucleic Acid ConformationProbabilityProtein BindingProteinsRNA, Long NoncodingRNA, MessengerProteinsRNA, Long NoncodingRNA, Messenger

Identifiers

PMID33861746
PMCPMC8081339
OpenAlexW3152599087

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.