(a) Heatmap generated by RNA-seq data from our own sequencing (left) and TCGA (right) datasets showing the distinct expression pattern of lncRNAs in CRC and matched NM tissues. (b,c) Sequence information of RNA-seq data was visualized by IGV. Each row indicates paired colonic samples including CRC and matched NM from three patients. The vertical axis represents sequence reads at particular chromosomal position where the scale was large (0–1000) or small (0–5). While the reads for CRCAL-2 [LINC00858] (blue triangle) cannot be recognized with the large scale, nearby protein-coding genes, GHITM and C10orf99 (red triangles), showed abundant read counts (b). Although sequence reads for CRCAL-2 (blue arrow heads) was modest, its up-regulation was visible with the small scale (c).
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. These 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.
Yamada A, Yu P, Lin W, Okugawa Y, Boland CR, Goel A. (2018) A RNA-Sequencing approach for the identification of novel long non-coding RNA biomarkers in colorectal cancer. Sci Rep 8(1):575. [article]
(a) Heatmap generated by RNA-seq data from our own sequencing (left) and TCGA (right) datasets showing the distinct expression pattern of lncRNAs in CRC and matched NM tissues. (b,c) Sequence information of RNA-seq data was visualized by IGV. Each row indicates paired colonic samples including CRC and matched NM from three patients. The vertical axis represents sequence reads at particular chromosomal position where the scale was large (0–1000) or small (0–5). While the reads for CRCAL-2 [LINC00858] (blue triangle) cannot be recognized with the large scale, nearby protein-coding genes, GHITM and C10orf99 (red triangles), showed abundant read counts (b). Although sequence reads for CRCAL-2 (blue arrow heads) was modest, its up-regulation was visible with the small scale (c).
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. These 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.
Yamada A, Yu P, Lin W, Okugawa Y, Boland CR, Goel A. (2018) A RNA-Sequencing approach for the identification of novel long non-coding RNA biomarkers in colorectal cancer. Sci Rep 8(1):575. [article]












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