Profiling lncRNA in psoriatic skin using scRNA-seq

仿形(计算机编程) 计算生物学 皮肤病科 医学 生物 计算机科学 操作系统
作者
Rachael Bogle,Matthew T. Patrick,Sutharzan Sreeskandarajan,Mehrnaz Gharaee‐Kermani,Haihan Zhang,Qinmengge Li,Ruiwen Zhou,Feiyang Ma,J. Michelle Kahlenberg,Olesya Plazyo,James T. Elder,Allison C. Billi,Jóhann E. Guðjónsson,Lam C. Tsoi
出处
期刊:Journal of Investigative Dermatology [Elsevier BV]
被引量:1
标识
DOI:10.1016/j.jid.2024.09.010
摘要

The expressions of long noncoding RNAs (lncRNAs) and their roles in epidermal differentiation have been previously defined using bulk RNA-seq. Despite their tissue-specific expression profiles, most lncRNAs are not well-annotated at the single cell level. Here, we evaluated the use of scRNA-seq to profile and characterize lncRNAs using data from 6 psoriasis patients with paired uninvolved and lesional psoriatic skin. Despite their overall lower expression, we were able to detect >7,000 skin-expressing lncRNAs and their cellular source. Differential gene expression analysis revealed 137 differentially expressed lncRNAs in lesional skin of psoriasis (PP) and identified 169 cell type-specific lncRNAs. Keratinocytes had the highest number of differentially expressed lncRNA in psoriatic skin, which we validated using spatial transcriptomic data. We further showed that expression of keratinocyte-specific lncRNA, AC020916.1, upregulated in lesional skin, is significantly correlated with expressions of genes participating in cell proliferation/epidermal differentiation, including SPRR2E and transcription factor ZFP36, particularly in the psoriatic skin. Our study highlights the potential for using scRNA-seq to profile skin-expressing lncRNA transcripts and to infer their cellular origins, providing a crucial approach that can be applied to the study of other inflammatory skin conditions.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
牛拉犁完成签到,获得积分10
1秒前
小木虫发布了新的文献求助10
1秒前
隐形的绿凝完成签到,获得积分10
1秒前
Freya完成签到,获得积分20
1秒前
baomingqiu发布了新的文献求助10
1秒前
烩栗发布了新的文献求助10
1秒前
王DD发布了新的文献求助10
1秒前
2秒前
所所应助小菅采纳,获得10
2秒前
2秒前
3秒前
FashionBoy应助lay采纳,获得10
3秒前
5秒前
华仔应助Sun采纳,获得10
5秒前
ossantu发布了新的文献求助10
5秒前
A8发布了新的文献求助20
6秒前
6秒前
充电宝应助冷静谷芹采纳,获得10
6秒前
记Y完成签到,获得积分10
6秒前
sx完成签到,获得积分10
7秒前
Carly发布了新的文献求助10
8秒前
8秒前
LL完成签到,获得积分10
8秒前
8秒前
mmb关闭了mmb文献求助
8秒前
汉堡包应助王DD采纳,获得10
9秒前
9秒前
小蘑菇应助木子李采纳,获得10
9秒前
不会搞科研完成签到,获得积分0
10秒前
Lucas应助丢丢采纳,获得10
10秒前
量子星尘发布了新的文献求助10
10秒前
科研通AI2S应助韶华采纳,获得10
11秒前
思源应助清爽雁开采纳,获得10
11秒前
雨落楸枰完成签到,获得积分10
11秒前
djiwisksk66应助sunny30采纳,获得10
11秒前
王王发布了新的文献求助10
11秒前
LL发布了新的文献求助10
12秒前
12秒前
云ch发布了新的文献求助10
13秒前
13秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
T/CIET 1202-2025 可吸收再生氧化纤维素止血材料 500
Interpretation of Mass Spectra, Fourth Edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3951758
求助须知:如何正确求助?哪些是违规求助? 3497124
关于积分的说明 11086059
捐赠科研通 3227597
什么是DOI,文献DOI怎么找? 1784497
邀请新用户注册赠送积分活动 868586
科研通“疑难数据库(出版商)”最低求助积分说明 801154