Spatial Transcriptome Analysis of Long Non-coding RNAs Reveals Tissue Specificity and Functional Roles in Cancer

Overview

Journal J Zhejiang Univ Sci B

Specialties Biology
General Medicine

Date 2023 Jan 12

PMID 36632748

Authors

Kang Xu

Xiyun Jin

Ya Luo

Haozhe Zou

Dezhong Lv

Liping Wang

Limei Fu

Yangyang Cai

Tingting Shao

Yongsheng Li

Juan Xu

Affiliations

Soon will be listed here.

Abstract

Long non-coding RNAs (lncRNAs) play a significant role in maintaining tissue morphology and functions, and their precise regulatory effectiveness is closely related to expression patterns. However, the spatial expression patterns of lncRNAs in humans are poorly characterized. Here, we constructed five comprehensive transcriptomic atlases of human lncRNAs covering thousands of major tissue samples in normal and disease states. The lncRNA transcriptomes exhibited high consistency within the same tissues across resources, and even higher complexity in specialized tissues. Tissue-elevated (TE) lncRNAs were identified in each resource and robust TE lncRNAs were refined by integrative analysis. We detected 1 to 4684 robust TE lncRNAs across tissues; the highest number was in testis tissue, followed by brain tissue. Functional analyses of TE lncRNAs indicated important roles in corresponding tissue-related pathways. Moreover, we found that the expression features of robust TE lncRNAs made them be effective biomarkers to distinguish tissues; TE lncRNAs also tended to be associated with cancer, and exhibited differential expression or were correlated with patient survival. In summary, spatial classification of lncRNAs is the starting point for elucidating the function of lncRNAs in both maintenance of tissue morphology and progress of tissue-constricted diseases.

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