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RNA-Sequencing approach for the identification of novel long non-coding RNA biomarkers in colorectal cancer

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NIAID Data Ecosystem2026-03-14 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE104178
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Long non-coding RNA (lncRNA) have been implicated in human pathology, however, their roles in colorectal carcinogenesis has not been fully elucidated. In the current study, whole-transcriptome was analyzed in 3 pairs of colorectal cancer (CRC) and matched normal mucosa (NM) by RNA sequencing (RNA-seq). Followed by confirmation using the Cancer Genome Atlas (TCGA) dataset, we identified 27 up-regulated and 22 down-regulated lncRNAs in CRC. Up-regulation of four lncRNAs, hereby named colorectal cancer associated lncRNA (CRCAL)-1 [AC021218.2], CRCAL-2 [LINC00858], CRCAL-3 [RP11-138J23.1] and CRCAL-4 [RP11-435O5.2], was further validated by real-time RT-PCR in 139 colorectal neoplasms and matched NM tissues. Knockdown of CRCAL-3 and CRCAL-4 in colon cancer cells reduced cell viability and colony formation ability, and induced cell cycle arrest. TCGA dataset supported the associations of CRCAL-3 and CRCAL-4 with cell cycle and revealed a co-expression network comprising dysregulated lncRNAs associated with protein-coding genes. In conclusion, RNA-seq identified numbers of novel lncRNAs dysregulated in CRC. In vitro experiments and GO term enrichment analysis indicated the functional relevance of CRCAL-3 and CRCAL-4 in association with cell cycle. Our data highlight the capability of RNA-seq to discover novel lncRNAs involved in human carcinogenesis, which may serve as alternative biomarkers and/or molecular treatment targets. 6 total samples consisting of 3 matched pairs of colorectal cancer (CRC) and matched normal mucosa (NM)
创建时间:
2023-03-16
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