Evidence map›Paper›PMID 36632748›Full record

ArticleJournal of Zhejiang University. Science. B2023

Spatial transcriptome analysis of long non-coding RNAs reveals tissue specificity and functional roles in cancer.

Kang Xu, Xiyun Jin, Ya Luo, Haozhe Zou, Dezhong Lv, Liping Wang, Limei Fu, Yangyang Cai, Tingting Shao, Yongsheng Li and 1 more

Abstract read
In one paragraph

Article in Journal of Zhejiang University. Science. B, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Emerging Roles of Long Non-Coding RNAs in Cardiovascular Diseases.Journal of cellular and molecular medicine · 2025
    Review
  7. Review
  8. Article
  9. Review
  10. Review
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

11 authors.

Kang XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Xiyun JinCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Ya LuoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Haozhe ZouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Dezhong LvCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Liping WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Limei FuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yangyang CaiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Tingting ShaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yongsheng LiKey Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou 571199, China. xujuanbiocc@ems.hrbmu.edu.cn, liyongsheng@hainmc.edu.cn.
Juan XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China. xujuanbiocc@ems.hrbmu.edu.cn.

Funding

the Hainan Province Science and Technology Special Fund ZDYF2021SHFZ051the Harbin Medical University Marshal Initiative Funding HMUMIF-21024the Marshal Initiative Funding of Hainan Medical University JBGS202103the National Natural Science Foundation of China 31970646, 32060152, 32070673 and 32170676
6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) play a significant role in maintaining tissue morphology and functions, and their precise regulatory effectiveness is closely related to expression patterns. However, the spatial expression patterns of lncRNAs in humans are poorly characterized. Here, we constructed five comprehensive transcriptomic atlases of human lncRNAs covering thousands of major tissue samples in normal and disease states. The lncRNA transcriptomes exhibited high consistency within the same tissues across resources, and even higher complexity in specialized tissues. Tissue-elevated (TE) lncRNAs were identified in each resource and robust TE lncRNAs were refined by integrative analysis. We detected 1 to 4684 robust TE lncRNAs across tissues; the highest number was in testis tissue, followed by brain tissue. Functional analyses of TE lncRNAs indicated important roles in corresponding tissue-related pathways. Moreover, we found that the expression features of robust TE lncRNAs made them be effective biomarkers to distinguish tissues; TE lncRNAs also tended to be associated with cancer, and exhibited differential expression or were correlated with patient survival. In summary, spatial classification of lncRNAs is the starting point for elucidating the function of lncRNAs in both maintenance of tissue morphology and progress of tissue-constricted diseases.

Indexed as

NeoplasmsRNA, Long NoncodingGene Expression ProfilingHumansOrgan SpecificityTranscriptomeRNA, Long NoncodingBiomarkerCancerLong non-coding RNASpatial expressionTranscriptome

Identifiers

PMID36632748
PMCPMC9837373

What OpenQuestion holds

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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.