Evidence map›Paper›PMID 35769907›Full record

ReviewFrontiers in molecular biosciences2022

Functional Micropeptides Encoded by Long Non-Coding RNAs: A Comprehensive Review.

Jianfeng Pan, Ruijun Wang, Fangzheng Shang, Rong Ma, Youjun Rong, Yanjun Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in molecular biosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.8field-weighted citation impact, top 3% of its field
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

35 citing papers in PubMed, 52 citations in OpenAlex.

  1. Review
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  14. Review
  15. Review
  16. Genome biology of long non-coding RNAs in humans: A virtual karyotype.Computational and structural biotechnology journal · 2025
    Article
  17. A micropeptide regulates seed desiccation.Frontiers in plant science · 2025
    Article
  18. Article
  19. Review
  20. Article
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

6 authors at 1 institution in 1 country.

Jianfeng PanCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Ruijun WangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Fangzheng ShangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Rong MaCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Youjun RongCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Yanjun ZhangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Inner Mongolia Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) were originally defined as non-coding RNAs (ncRNAs) which lack protein-coding ability. However, with the emergence of technologies such as ribosome profiling sequencing and ribosome-nascent chain complex sequencing, it has been demonstrated that most lncRNAs have short open reading frames hence the potential to encode functional micropeptides. Such micropeptides have been described to be widely involved in life-sustaining activities in several organisms, such as homeostasis regulation, disease, and tumor occurrence, and development, and morphological development of animals, and plants. In this review, we focus on the latest developments in the field of lncRNA-encoded micropeptides, and describe the relevant computational tools and techniques for micropeptide prediction and identification. This review aims to serve as a reference for future research studies on lncRNA-encoded micropeptides.

Indexed as

coding potential predictionlncRNAmicropeptideRibo-seqsORF

Identifiers

PMID35769907
PMCPMC9234465
OpenAlexW4282554935

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.