Evidence map›Paper›PMID 35664234›Full record

ArticleComputational and structural biotechnology journal2022

Distinctive functional regime of endogenous lncRNAs in dark regions of human genome.

Anyou Wang

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Transcriptional rewiring in cancer driven byFrontiers in pharmacology · 2025
    Review
  4. Review
  5. Article
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

1 author.

Anyou WangThe Institute for Integrative Genome Biology, University of California at Riverside, Riverside, CA 92521, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

>98% of the human genome is composed of noncoding regions and >93% of these noncoding regions are actively transcribed, suggesting their criticality in the human genome. Yet <1% of these regions have been functionally characterized, leaving most of the human genomes in the dark. Here, this study processes petabyte level data and systematically decodes endogenous lncRNAs located in unannotated regions of the human genome and deciphers a distinctive functional regime of lncRNAs hidden in massive RNAseq data. LncRNAs divergently distribute across chromosomes, independent of protein-coding regions. Their transcriptions rarely initiate on promoters through polymerase II, but rather partially on enhancers. Yet conventional enhancer markers (e.g. H3K4me1) only account for a small proportion of lncRNA transcriptions, suggesting alternatively unknown mechanisms initiating the majority of lncRNAs. Furthermore, lncRNA-self regulation also notably contributes to lncRNA activation. LncRNAs regulate broad bioprocesses, including transcription and RNA processing, cell cycle, respiration, response to stress, chromatin organization, post-translational modification, and development. Therefore, lncRNAs functionally govern their own regime distinctive from protein coding genes. This finding establishes a clear framework to comprehend human genome-wide lncRNA-lncRNA and lncRNA-protein coding gene regulations.

Indexed as

Dark regionsEndogenousHuman genomelncRNALong noncoding RNANovelUnannotated

Identifiers

PMID35664234
PMCPMC9127114

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.