Evidence map›Paper›PMID 35456483›Full record

ArticleGenes2022

m5CRegpred: Epitranscriptome Target Prediction of 5-Methylcytosine (m5C) Regulators Based on Sequencing Features.

Zhizhou He, Jing Xu, Haoran Shi, Shuxiang Wu

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. RNA 5-Methylcytosine Modification in Myocardial Fibrosis.Reviews in cardiovascular medicine · 2025
    Review
  2. Article
  3. Article
  4. Article
  5. An Overview of Current Detection Methods for RNA Methylation.International journal of molecular sciences · 2024
    Review
  6. Article
  7. XGBoost framework with feature selection for the prediction of RNA N5-methylcytosine sites.Molecular therapy : the journal of the American Society of Gene Therapy · 2023
    Article
  8. Article
  9. The RNA m5C Methylase NSUN2 Modulates Corneal Epithelial Wound Healing.Investigative ophthalmology & visual science · 2023
    Article
  10. Article
  11. Characterization of epitranscriptome reader proteins experimentally andComputational and structural biotechnology journal · 2023
    Review
  12. 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

4 authors at 2 institutions in 3 countries.

Zhizhou HeKey Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350004, China.
Jing XuKey Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350004, China.
Haoran ShiResearch Center for BioSystems, Land Use, and Nutrition (IFZ), Institute of Applied Microbiology, Justus-Liebig-University Giessen, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany.ORCID 0000-0001-5997-6946
Shuxiang WuKey Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350004, China.
Fujian Medical University · CNJustus-Liebig-Universität Gießen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

5-methylcytosine (m5C) is a common post-transcriptional modification observed in a variety of RNAs. m5C has been demonstrated to be important in a variety of biological processes, including RNA structural stability and metabolism. Driven by the importance of m5C modification, many projects focused on the m5C sites prediction were reported before. To better understand the upstream and downstream regulation of m5C, we present a bioinformatics framework, m5CRegpred, to predict the substrate of m5C writer NSUN2 and m5C readers YBX1 and ALYREF for the first time. After features comparison, window lengths selection and algorism comparison on the mature mRNA model, our model achieved AUROC scores 0.869, 0.724 and 0.889 for NSUN2, YBX1 and ALYREF, respectively in an independent test. Our work suggests the substrate of m5C regulators can be distinguished and may help the research of m5C regulators in a special condition, such as substrates prediction of hyper- or hypo-expressed m5C regulators in human disease.

Indexed as

5-MethylcytosineRNAComputational BiologyHumansRNA, MessengerSequence Analysis, RNA5-MethylcytosineRNARNA, Messenger5-methylcytosinemachine learningreaders

Identifiers

PMID35456483
PMCPMC9025882
OpenAlexW4223537985

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.