Evidence map›Paper›PMID 31871775›Full record

ReviewSignal transduction and targeted therapy

Peptides encoded by noncoding genes: challenges and perspectives.

Shuo Wang, Chuanbin Mao, Shanrong Liu

Abstract readReview
In one paragraph

Review in Signal transduction and targeted therapy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
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  11. Editorial: Non-coding RNAs in diseases of the nervous system.Frontiers in cellular neuroscience · 2023
    Article
  12. Article
  13. Microproteins in skeletal muscle: hidden keys in muscle physiology.Journal of cachexia, sarcopenia and muscle · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
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  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

3 authors.

Shuo Wang1Changhai Hospital, Shanghai, 200433 China.ORCID 0000-0002-6893-3072
Chuanbin Mao2Department of Chemistry and Biochemistry, Stephenson Life Sciences Research Center, Institute for Biomedical Engineering, Science and Technology, University of Oklahoma, 101 Stephenson Parkway, Norman, OK 73019-5300 USA.ORCID 0000-0002-8142-3659
Shanrong Liu1Changhai Hospital, Shanghai, 200433 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, noncoding gene (NCG) translation events have been frequently discovered. The resultant peptides, as novel findings in the life sciences, perform unexpected functions of increasingly recognized importance in many fundamental biological and pathological processes. The emergence of these novel peptides, in turn, has advanced the field of genomics while indispensably aiding living organisms. The peptides from NCGs serve as important links between extracellular stimuli and intracellular adjustment mechanisms. These peptides are also important entry points for further exploration of the mysteries of life that may trigger a new round of revolutionary biotechnological discoveries. Insights into NCG-derived peptides will assist in understanding the secrets of life and the causes of diseases, and will also open up new paths to the treatment of diseases such as cancer. Here, a critical review is presented on the action modes and biological functions of the peptides encoded by NCGs. The challenges and future trends in searching for and studying NCG peptides are also critically discussed.

Indexed as

BiochemistryCancerDrug discoveryGenomeTherapeutics

Identifiers

PMID31871775
PMCPMC6908703

What OpenQuestion holds

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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.