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
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.
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