Long non-coding RNAs and genes contributing to the generation of cancer stem cells in hepatocellular carcinoma identified by RNA sequencing analysis
| Autor: | Zhi Chen, Jihong Yang, Dan Liu, Shujie Cheng, Zhijuan Hua, Quan Zhang, Na Cui, Liye Cao |
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| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Cancer Research Carcinoma Hepatocellular Steroid biosynthesis Biology Genome 03 medical and health sciences 0302 clinical medicine Cancer stem cell Gene expression Databases Genetic Humans Gene Regulatory Networks KEGG Gene Oligonucleotide Array Sequence Analysis Regulation of gene expression Genetics Liver Neoplasms RNA Computational Biology High-Throughput Nucleotide Sequencing General Medicine digestive system diseases Gene Expression Regulation Neoplastic 030104 developmental biology Gene Ontology Oncology 030220 oncology & carcinogenesis Neoplastic Stem Cells RNA Long Noncoding |
| Zdroj: | Oncology reports. 36(5) |
| ISSN: | 1791-2431 |
| Popis: | Cancer stem cells (CSCs) play important roles in cancer initiation, progression and metastasis. The aim of the present study was to identify the potential targets that may contribute to the generation of hepatocellular carcinoma stem cells (HCSCs) from hepatocellular carcinoma (HCC) cells. The RNA sequencing (RNA‑Seq) dataset GSE70537 was downloaded from the Gene Expression Omnibus (GEO) database. Raw RNA sequences were mapped to the GRCh37/hg19 genome based on TopHat and assembled through Cufflinks. Cuffdiff of Cufflinks was used for the screening of differentially expressed genes (DEGs) in the two types of HCSCs (Hep3B‑C and Huh7‑C) compared with the two types of HCC cells (Hep3B and Huh7) which were satisfied by the criteria of |log2(RPKMHCSC/RPKMHCC)| >1 and p |
| Databáze: | OpenAIRE |
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