Profiling Long Noncoding RNA in Psoriatic Skin Using Single-Cell RNA Sequencing.

Autor:	Bogle R; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA., Patrick MT; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA., Sreeskandarajan S; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA; Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA., Gharaee-Kermani M; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA., Zhang H; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA; Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA., Li Q; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA; Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA., Zhou R; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA; Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA., Ma F; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA., Kahlenberg JM; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA; Division of Rheumatology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA., Plazyo O; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA., Elder JT; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA; Ann Arbor Veterans Affairs Hospital, Ann Arbor, Michigan, USA., Billi AC; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA., Gudjonsson JE; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA; Division of Rheumatology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA., Tsoi LC; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA; Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA; Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA. Electronic address: alextsoi@med.umich.edu.
Jazyk:	angličtina
Zdroj:	The Journal of investigative dermatology [J Invest Dermatol] 2024 Sep 27. Date of Electronic Publication: 2024 Sep 27.
DOI:	10.1016/j.jid.2024.09.010
Abstrakt:	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. (Copyright © 2024. Published by Elsevier Inc.)
Databáze:	MEDLINE
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