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Expression of tRF & tiRNA in cholangiocarcinoma by RNA sequencing

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NIAID Data Ecosystem2026-03-13 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147017
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The rapid development of high-throughput sequencing is conducive to the discovery of many new theories. The purpose of this study is to explore the differentially expressed of tRF & tiRNA in cholangiocarcinoma by high-throughput sequencing technology. We collected cholangiocarcinoma and adjacent normal tissues from three patients. After RNA extraction and RNA library preparation, we determined the raw data of tRF & tiRNA in cholangiocarcinoma and adjacent normal tissues by high-throughput RNA sequencing. Raw data were generated after sequencing,image analysis,basecalling and quality filtering on lllumina sequencer.Firstly,Q30 was used to perform quality control.The adaptor sequences were trimmed and the adaptor-trimmed-reads(>=16nt) were left by cut adapt software(v1.9.3).Then,the raw counts of each tRF&tiRNA(MINTbasev2.0) was calculated for all samples,defined as the raw expression level soft.The results showed that a total of 20102 tsRNA were detected in the two groups, 9616tsRNA were upregulated and 10486 were downregulated. There were 535 differentially expressed tsRNA in cholangiocarcinoma after edger standardization, of which 241 were upregulated and 294 were downregulated (| log2 (foldchange) | = 1andpvalue < 0.05). This study shows that high-throughput sequencing technology is helpful for us to determine the expression of tRF & tiRNA in cholangiocarcinoma, and to screen out differentially expressed tRF & tiRNA, and further to explore the factors that affect the progress of cholangiocarcinoma. Examing 2 conditions, each with 3 replicates
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2021-10-31
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