Evidence map›Paper›PMID 37700248›Full record

ArticleBMC genomics2023

Identification and analysis of RNA-5-methylcytosine-related key genes in osteoarthritis.

Yang Yu, Shitao Lu, Xiaoming Liu, Yu Li, Jianzhong Xu

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Yang YuDepartment of Orthopedics, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Shitao LuDepartment of Orthopedics, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaoming LiuDepartment of Gastroenterology, the Third Xiangya Hospital, Central South University, Changsha, China.
Yu LiDepartment of Orthopedics, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jianzhong XuDepartment of Orthopedics, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. xjzzzu@yeah.net.
First Affiliated Hospital of Zhengzhou University · CNThird Xiangya Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background5-methylcytosine (m5C) modification is widely associated with many biological and pathological processes. However, knowledge of m5C modification in osteoarthritis (OA) remains lacking. Thus, our study aimed to identify common m5C features in OA.

resultsIn the present study, we identified 1395 differentially methylated genes (DMGs) and 1673 differentially expressed genes (DEGs) using methylated RNA immunoprecipitation next-generation sequencing (MeRIP-seq) and RNA-sequencing. A co-expression analysis of DMGs and DEGs showed that the expression of 133 genes was significantly affected by m5C methylation. A protein-protein interaction network of the 133 genes was constructed using the STRING database, and the cytoHubba plug-in of Cytoscape was used to hub genes were screen out 11 hub genes, including MMP14, VTN, COL15A1, COL6A2, SPARC, COL5A1, COL6A3, COL6A1, COL8A2, ADAMTS2 and COL7A1. The Pathway enrichment analysis by the ClueGO and CluePedia plugins in Cytoscape showed that the hub genes were significantly enriched in collagen degradation and extracellular matrix degradation.

conclusionsOur study indicated that m5C modification might play an important role in OA pathogenesis, and the present study provides worthwhile insight into identifying m5C-related therapeutic targets in OA.

Indexed as

OsteoarthritisRNA5-MethylcytosineCollagen Type VIIDatabases, FactualHigh-Throughput Nucleotide SequencingHumans5-MethylcytosineCOL7A1 protein, humanCollagen Type VIIRNACollagen degradationm5C methylationMeRIP-seqMethylome profileOsteoarthritis

Identifiers

PMID37700248
PMCPMC10496305
OpenAlexW4386690854

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.