한빛사논문
Kim, Gyeong Dae1,*; Shin, So-I1,*; Jung, Su Woong1,2; An, Hyunsu1; Choi, Sin Young1; Eun, Minho1; Jun, Chang-Duk1; Lee, Sangho2†; Park, Jihwan1,†
1School of Life Sciences, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
2Division of Nephrology, Department of Internal Medicine, Kyung Hee University, Seoul, Republic of Korea
*These authors contributed equally to this work as the first authors.
†Correspondence: Dr. Jihwan Park, Sangho Lee
Abstract
Background: Accumulated evidence demonstrates that long non-coding RNAs (lncRNAs) regulate cell differentiation and homeostasis, influencing kidney aging and disease. Despite their versatility, the function of lncRNA remains poorly understood due to the lack of a reference map of lncRNA transcriptome in various cell types.
Methods: In this study, we employed a targeted single-cell RNA sequencing (scRNA-seq) method to enrich and characterize lncRNAs in individual cells. We applied this method to various mouse tissues, including normal and aged kidneys.
Results: Through tissue-specific clustering analysis, we identified cell type-specific lncRNAs that showed a high correlation with known cell-type marker genes. Furthermore, we constructed gene regulatory networks (GRNs) to explore the functional roles of differentially expressed lncRNAs in each cell type. In the kidney, we observed dynamic expression changes of lncRNAs during aging, with specific changes in glomerular cells. These cell type- and age-specific expression patterns of lncRNAs provide insights into their potential roles in regulating cellular processes, such as immune response and energy metabolism, during kidney aging.
Conclusions: Our study sheds light on the comprehensive landscape of lncRNA expression and function and provides a valuable resource for future analysis of lncRNAs (https://gist-fgl.github.io/sc-lncrna-atlas/).
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