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, Johann E Gudjonsson, Lam C Tsoi
{"title":"Profiling Long Noncoding RNA in Psoriatic Skin Using Single-Cell RNA Sequencing.","authors":"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, Johann E Gudjonsson, Lam C Tsoi","doi":"10.1016/j.jid.2024.09.010","DOIUrl":null,"url":null,"abstract":"<p><p>The expressions of long noncoding RNAs (lncRNAs) and their roles in epidermal differentiation have been previously defined using bulk RNA sequencing. Despite their tissue-specific expression profiles, most lncRNAs are not well-annotated at the single-cell level. In this study, we evaluated the use of single-cell RNA sequencing to profile and characterize lncRNAs using data from 6 patients with psoriasis with paired uninvolved and lesional psoriatic skin. Despite their overall lower expression, we were able to detect >7000 skin-expressing lncRNAs and their cellular sources. Differential gene expression analysis revealed 137 differentially expressed lncRNAs in lesional psoriasis skin 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 the 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 single-cell RNA sequencing 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.</p>","PeriodicalId":94239,"journal":{"name":"The Journal of investigative dermatology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of investigative dermatology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.jid.2024.09.010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The expressions of long noncoding RNAs (lncRNAs) and their roles in epidermal differentiation have been previously defined using bulk RNA sequencing. Despite their tissue-specific expression profiles, most lncRNAs are not well-annotated at the single-cell level. In this study, we evaluated the use of single-cell RNA sequencing to profile and characterize lncRNAs using data from 6 patients with psoriasis with paired uninvolved and lesional psoriatic skin. Despite their overall lower expression, we were able to detect >7000 skin-expressing lncRNAs and their cellular sources. Differential gene expression analysis revealed 137 differentially expressed lncRNAs in lesional psoriasis skin 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 the 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 single-cell RNA sequencing 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.