Single-Cell Sequencing Analysis and Weighted Co-Expression Network Analysis Based on Public Databases Identified That TNC Is a Novel Biomarker for Keloid

Frontiers in Immunology

Ming Wang¹  Jiaheng Xie¹  Jingping Shi¹  Wenwen Xiong²  Liang Chen³  Dan Wu⁴  Yuan Cao⁵  Kai Zhang⁶ 

[1] Department of Burn and Plastic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China;Department of Dermatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China;Department of General Surgery, Fuyang Hospital Affiliated to Anhui Medical University, Fuyang, China;Department of Rheumatology and Immunology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China;Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, China;Pancreas Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu, China;

关键词: keloid;    single-cell sequencing;    weighted co-expression network analysis;    differential expression analysis;    Tenascin-c;   

DOI  :  10.3389/fimmu.2021.783907

来源: DOAJ

【 摘 要 】

BackgroundThe pathophysiology of keloid formation is not yet understood, so the identification of biomarkers for kelod can be one step towards designing new targeting therapies which will improve outcomes for patients with keloids or at risk of developing keloids.MethodsIn this study, we performed single-cell RNA sequencing analysis, weighted co-expression network analysis, and differential expression analysis of keloids based on public databases. And 3 RNA sequencing data from keloid patients in our center were used for validation. Besides, we performed QRT-PCR on keloid tissue and adjacent normal tissues from 16 patients for further verification.ResultsWe identified the sensitive biomarker of keloid: Tenascin-C (TNC). Then, Pseudotime analysis found that the expression level of TNC decreased first, then stabilized and finally increased with fibroblast differentiation, suggesting that TNC may play an potential role in fibroblast differentiation. In addition, there were differences in the infiltration level of macrophages M0 between the TNC-high group and the TNC-low group. Macrophages M0 had a higher infiltration level in low TNC- group (P<0.05).ConclusionOur results can provide a new idea for the diagnosis and treatment of keloid.

【 授权许可】

Unknown