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Spatial transcriptome analysis of long non-coding RNAs reveals tissue specificity and functional roles in cancer 被引量:1
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作者 Kang XU Xiyun JIN +8 位作者 Ya LUO Haozhe ZOU Dezhong LV Liping WANG Limei FU yangyang cai Tingting SHAO Yongsheng LI Juan XU 《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》 SCIE CAS CSCD 2023年第1期15-31,共17页
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 p... 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. 展开更多
关键词 Spatial expression TRANSCRIPTOME Long non-coding RNA CANCER BIOMARKER
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