Exploring the importance of m5c in the diagnosis and subtype classification of COPD using the GEO database

Wu, Jianjun; Li, Xiaoning; Kong, Deyu; Zheng, Xudong; Du, Weisha; Zhang, Yi; Jiao, Yang; Li, Xin

doi:10.1016/j.gene.2023.147987

Gene

2024

DOI: 10.1016/j.gene.2023.147987

|View full text |Cite

Exploring the importance of m5c in the diagnosis and subtype classification of COPD using the GEO database

Jianjun Wu,

Xiaoning Li,

Deyu Kong

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Role of m6A Methylation Regulators in the Diagnosis and Subtype Classification of COPD Based on the GEO Database

Zhang,

Gao,

et al. 2024

J Cellular Molecular Medi

View full text Add to dashboard Cite

N6‐methyladenosine (m6A) is a prevalent mRNA modifier, yet its role in chronic obstructive pulmonary disease (COPD) remains unexplored. We sourced expression levels of m6A methylation regulators from the GSE76925 dataset. These regulators' differential expression (DEMs) predicted COPD risk via random forest and support vector machine models. Additionally, a nomogram model using DEMs estimated COPD prevalence. We employed consistent cluster analysis of m6A methylation regulators to categorise COPD samples into distinct subtypes. Analyses of immune cell infiltration in these subtypes and differential gene expression (DEGs) across m6A methylation subtypes were conducted. A cell model validated several m6A regulators and their associated pathways. Fifteen m6A methylation regulators showed differential expression and were used in random forest and support vector machine models. Eleven were selected for a nomogram model, which decision curve analysis suggested could benefit patients. Consensus cluster analysis divided the COPD samples into two subtypes: Cluster A and Cluster B. Cluster B was associated with neutrophil and eosinophil‐dominated immunity, while Cluster A was linked with monocyte‐dominated immunity. Validation of some research findings was achieved through cell experiments. m6A methylation regulators appear instrumental in diagnosing and classifying subtypes of COPD.

show abstract

Role of m6A Methylation Regulators in the Diagnosis and Subtype Classification of COPD Based on the GEO Database

Zhang,

Gao,

et al. 2024

J Cellular Molecular Medi

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Exploring the importance of m5c in the diagnosis and subtype classification of COPD using the GEO database

Cited by 1 publication

References 70 publications

Role of m6A Methylation Regulators in the Diagnosis and Subtype Classification of COPD Based on the GEO Database

Role of m6A Methylation Regulators in the Diagnosis and Subtype Classification of COPD Based on the GEO Database

Contact Info

Product

Resources

About