Evidence map›Paper›PMID 32778133›Full record

ReviewJournal of hematology & oncology2020

Principles and innovative technologies for decrypting noncoding RNAs: from discovery and functional prediction to clinical application.

Yu-Meng Sun, Yue-Qin Chen

Abstract readReview
In one paragraph

Review in Journal of hematology & oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Review
  2. Review
  3. Bioinformatics Approaches in Noncoding RNAs Research.Experientia supplementum (2012) · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Guidelines for mitochondrial RNA analysis.Molecular therapy. Nucleic acids · 2024
    Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Inflammation in Heart Failure-Future Perspectives.Journal of clinical medicine · 2023
    Review
  20. 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

2 authors.

Yu-Meng SunMOE Key Laboratory of Gene Function and Regulation, State Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.
Yue-Qin ChenMOE Key Laboratory of Gene Function and Regulation, State Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China. lsscyq@mail.sysu.edu.cn.ORCID 0000-0002-5140-1993

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noncoding RNAs (ncRNAs) are a large segment of the transcriptome that do not have apparent protein-coding roles, but they have been verified to play important roles in diverse biological processes, including disease pathogenesis. With the development of innovative technologies, an increasing number of novel ncRNAs have been uncovered; information about their prominent tissue-specific expression patterns, various interaction networks, and subcellular locations will undoubtedly enhance our understanding of their potential functions. Here, we summarized the principles and innovative methods for identifications of novel ncRNAs that have potential functional roles in cancer biology. Moreover, this review also provides alternative ncRNA databases based on high-throughput sequencing or experimental validation, and it briefly describes the current strategy for the clinical translation of cancer-associated ncRNAs to be used in diagnosis.

Indexed as

ChromatinDatabases, GeneticGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansMicroarray AnalysisModels, GeneticNeoplasmsOpen Reading FramesOrgan SpecificityProtein BiosynthesisRibosomesRNA, NeoplasmRNA-SeqRNA, UntranslatedSingle-Cell AnalysisChromatinRNA, NeoplasmRNA, UntranslatedDiagnostic kitsFunctional ncRNA discoveryncRNA databaseNovel ncRNAsSequencing technologiesSubcellular localization

Identifiers

PMID32778133
PMCPMC7416809

What Socratic 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 Socratic graph.