Single-cell sequencing analysis and bulk-seq identify IGFBP6 and TNFAIP6 as novel differential diagnosis markers for postburn pathological scarring

医学 病态的 鉴别诊断 病理 计算生物学 生物
作者
Chi Zhong,Ke Shi,Peiting Li,Xiaohui Qiu,Xianrui Wu,Shuyue Chen,Yang Liu,Fuying Li,Zitong Zhao,Jianda Zhou,Geao Liang,Dan Xu
出处
期刊:Burns [Elsevier BV]
卷期号:50 (9): 107255-107255 被引量:8
标识
DOI:10.1016/j.burns.2024.08.021
摘要

BACKGROUND: If not accurately diagnosed and treated, postburn pathological scars, such as keloids and hypertrophic scars, can lead to negative clinical outcomes. However, differential diagnosis at the molecular level for postburn pathological scars remains limited. Using single-cell sequencing analysis, we investigated the genetic nuances of pathological scars at the cellular level. This study aimed to identify molecular diagnostic biomarkers to distinguish between postburn keloids and hypertrophic scars. METHODS: Single-cell sequencing, differential expression, and weighted co-expression network analyses were performed to identify potential key genes for discriminating between keloids and hypertrophic scars. Postburn clinical samples were collected from our centre to validate the expression levels of the identified key genes. RESULTS: Single-cell sequencing analysis unveiled 29 and 30 cell clusters in keloids and hypertrophic scars, respectively, predominantly composed of fibroblasts. Bulk differential gene analysis showed 96 highly expressed genes and 69 lowly expressed genes in keloids compared to hypertrophic scars. By incorporating previous research, Gene Set Enrichment Analysis was conducted to select fibroblasts as the focus of research. According to the single-cell data, 301 genes were stably expressed in fibroblasts from both types of pathological scars. Consistently, Weighted Gene Co-expression Network Analysis revealed that the blue module genes were mostly hub genes associated with fibroblasts. After intersecting fibroblast-related genes in single-cell data, Weighted Gene Co-expression Network Analysis-hub module genes, and bulk differential expression genes, insulin-like growth factor binding protein 6 and tumour necrosis factor alpha-induced protein 6 were identified as key genes to distinguish keloids from hypertrophic scars, resulting in diagnostic accuracies of 1.0 and 0.75, respectively. Immunohistochemical Staining and Quantitative Reverse Transcription PCR revealed that the expression levels of tumour necrosis factor alpha induced protein 6 and insulin-like growth factor binding protein 6 were significantly lower in postburn keloids than in hypertrophic scars- CONCLUSIONS: Tumour necrosis factor alpha induced protein 6 and insulin-like growth factor binding protein 6, exhibiting high diagnostic accuracy, provide valuable guidance for the differential diagnosis and treatment of postburn pathological scars.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
2秒前
大模型应助谢东轩采纳,获得10
2秒前
3秒前
3秒前
Ava应助Chen采纳,获得10
4秒前
zzj1904发布了新的文献求助10
4秒前
简单山水完成签到,获得积分10
4秒前
下载论文完成签到,获得积分10
5秒前
TigerOvO完成签到,获得积分10
6秒前
大嘻发布了新的文献求助10
7秒前
Conley发布了新的文献求助10
7秒前
无极微光应助zyqy采纳,获得20
8秒前
adydcm完成签到 ,获得积分10
10秒前
11秒前
爱笑凤凰完成签到,获得积分10
12秒前
14秒前
黎黎完成签到 ,获得积分10
14秒前
科研通AI6.4应助陈瑞鸥采纳,获得10
14秒前
小蘑菇应助大嘻采纳,获得10
14秒前
14秒前
chenjian发布了新的文献求助10
15秒前
17秒前
18秒前
18秒前
阿锐发布了新的文献求助10
19秒前
20秒前
胖瓶儿发布了新的文献求助10
20秒前
科研通AI2S应助云淡风轻采纳,获得10
21秒前
虹虹发布了新的文献求助10
22秒前
MX120251336发布了新的文献求助10
22秒前
华仔应助lili采纳,获得10
22秒前
aaaa应助科研包采纳,获得10
23秒前
23秒前
YMH完成签到,获得积分10
24秒前
hsu完成签到 ,获得积分10
25秒前
26秒前
26秒前
26秒前
超级鸡车完成签到,获得积分10
27秒前
高分求助中
Principles of Economics, 11th Edition 10000
Prescott's Microbiology: 2026 Release ISE 10000
University Physics with Modern Physics, 16th edition 10000
Cronologia da história de Macau 5000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Interactions of Vowel Quality and Prosody in East Slavic 1000
Matrix Methods in Data Mining and Pattern Recognition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7157994
求助须知:如何正确求助?哪些是违规求助? 8802180
关于积分的说明 18601158
捐赠科研通 6760036
什么是DOI,文献DOI怎么找? 3162161
关于科研通互助平台的介绍 2297528
邀请新用户注册赠送积分活动 2136831