Evidence map›Paper›PMID 33175131›Full record

ArticleNucleic acids research2021

deepBase v3.0: expression atlas and interactive analysis of ncRNAs from thousands of deep-sequencing data.

Fangzhou Xie, Shurong Liu, Junhao Wang, Jiajia Xuan, Xiaoqin Zhang, Lianghu Qu, Lingling Zheng, Jianhua Yang

Abstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Circular RNAs modulate cancer drug resistance: advances and challenges.Cancer drug resistance (Alhambra, Calif.) · 2025
    Article
  12. Article
  13. Online Databases in Circular RNAs.Advances in experimental medicine and biology · 2025
    Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Long non‑coding RNAs in multiple myeloma (Review).International journal of oncology · 2023
    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

8 authors.

Fangzhou XieMOE Key Laboratory of Gene Function and Regulation, State Key Laboratory for Biocontrol, The Fifth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510275, China.
Shurong LiuMOE Key Laboratory of Gene Function and Regulation, State Key Laboratory for Biocontrol, The Fifth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510275, China.
Junhao WangMOE Key Laboratory of Gene Function and Regulation, State Key Laboratory for Biocontrol, The Fifth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510275, China.
Jiajia XuanMOE Key Laboratory of Gene Function and Regulation, State Key Laboratory for Biocontrol, The Fifth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510275, China.
Xiaoqin ZhangSchool of Medicine, South China University of Technology, Guangzhou 510275, China.
Lianghu QuMOE Key Laboratory of Gene Function and Regulation, State Key Laboratory for Biocontrol, The Fifth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510275, China.
Lingling ZhengMOE Key Laboratory of Gene Function and Regulation, State Key Laboratory for Biocontrol, The Fifth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510275, China.
Jianhua YangMOE Key Laboratory of Gene Function and Regulation, State Key Laboratory for Biocontrol, The Fifth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510275, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eukaryotic genomes encode thousands of small and large non-coding RNAs (ncRNAs). However, the expression, functions and evolution of these ncRNAs are still largely unknown. In this study, we have updated deepBase to version 3.0 (deepBase v3.0, http://rna.sysu.edu.cn/deepbase3/index.html), an increasingly popular and openly licensed resource that facilitates integrative and interactive display and analysis of the expression, evolution, and functions of various ncRNAs by deeply mining thousands of high-throughput sequencing data from tissue, tumor and exosome samples. We updated deepBase v3.0 to provide the most comprehensive expression atlas of small RNAs and lncRNAs by integrating ∼67 620 data from 80 normal tissues and ∼50 cancer tissues. The extracellular patterns of various ncRNAs were profiled to explore their applications for discovery of noninvasive biomarkers. Moreover, we constructed survival maps of tRNA-derived RNA Fragments (tRFs), miRNAs, snoRNAs and lncRNAs by analyzing >45 000 cancer sample data and corresponding clinical information. We also developed interactive webs to analyze the differential expression and biological functions of various ncRNAs in ∼50 types of cancers. This update is expected to provide a variety of new modules and graphic visualizations to facilitate analyses and explorations of the functions and mechanisms of various types of ncRNAs.

Indexed as

Databases, Nucleic AcidGene Expression ProfilingHigh-Throughput Nucleotide SequencingAnimalsExosomesGene Expression RegulationGene Regulatory NetworksGenomeHumansMolecular Sequence AnnotationPrognosisRNA, TransferRNA, UntranslatedUser-Computer InterfaceRNA, TransferRNA, Untranslated

Identifiers

PMID33175131
PMCPMC7778966

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.