Evidence map›Paper›PMID 26760768›Full record

ArticleOncotarget2016

Identifying and functionally characterizing tissue-specific and ubiquitously expressed human lncRNAs.

Chunjie Jiang, Yongsheng Li, Zheng Zhao, Jianping Lu, Hong Chen, Na Ding, Guangjuan Wang, Juan Xu, Xia Li

Abstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 1 pooled it
–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

83 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. ThebioRxiv : the preprint server for biology · 2026
    Article
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  5. Article
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  11. Review
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  15. Article
  16. Long non-coding RNA transcripts inNon-coding RNA research · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. Article

23 more citing papers are in PubMed but not listed here.

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

9 authors.

Chunjie JiangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yongsheng LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Zheng ZhaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jianping LuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Hong ChenCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Na DingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Guangjuan WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Juan XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xia LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in transcriptome sequencing have made it possible to distinguish ubiquitously expressed long non-coding RNAs (UE lncRNAs) from tissue-specific lncRNAs (TS lncRNAs), thereby providing clues to their cellular functions. Here, we assembled and functionally characterized a consensus lncRNA transcriptome by curating hundreds of RNA-seq datasets across normal human tissues from 16 independent studies. In total, 1,184 UE and 2,583 TS lncRNAs were identified. These different lncRNA populations had several distinct features. Specifically, UE lncRNAs were associated with genomic compaction and highly conserved exons and promoter regions. We found that UE lncRNAs are regulated at the transcriptional level (with especially strong regulation of enhancers) and are associated with epigenetic modifications and post-transcriptional regulation. Based on these observations we propose a novel way to predict the functions of UE and TS lncRNAs through analysis of their genomic location and similarities in epigenetic modifications. Our characterization of UE and TS lncRNAs may provide a foundation for lncRNA genomics and the delineation of complex disease mechanisms.

Indexed as

Gene Expression ProfilingTranscriptomeCluster AnalysisComputational BiologyEpigenesis, GeneticGene Expression RegulationGenomicsHigh-Throughput Nucleotide SequencingHumansMolecular Sequence AnnotationOrgan SpecificityRNA, Long NoncodingTissue DistributionRNA, Long Noncodingepigenetic regulationfunctional predictiongenomic structuretissue-specific lncRNAsubiquitously expressed lncRNAs

Identifiers

PMID26760768
PMCPMC4872773

What OpenQuestion holds

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LicenceCC BY
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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.