Identification of tRFs&tiRNAs Expression Profile in Breast Cancer Tissues
收藏NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE123967
下载链接
链接失效反馈官方服务:
资源简介:
Purpose:In recent years, tRFs(transfer RNA-Derived Fragments) & tiRNAs (transfer RNA-Derived Stress-induced RNAs or tRNA halves) have been shown to have vital roles in cancer biology. We aimed to reveal the expression profile of tRFs&tiRNAs in breast cancer tissues in the study, and to explore their potential as biomarkers of breast cancer. Methods:We characterize tRFs&tiRNAs expression profiles in 6 pairs of breast cancer tissues and adjacent normal samples.Then we selected six tRFs&tiRNAs with significant expression and added 10 pairs of samples to verify the selected genes by qPCR in 16 pairs of breast cancer tissues along with the previous 6 pairs. Results:We found 31 differentially expressed tRFs&tiRNAs across our dataset, out of which 17 were up-regulated, 14 were down-regulated. Compared with 16 breast cancer tissues and healthy controls by qPCR, the results demonstrated that AS-tDR-001430, AS-tDR-001130 and AS-tDR-000779 were significantly expressed in breast cancer tissues (p < 0.001). AS-tDR-000779 was significantly up-regulated, AS-tDR-001430 and AS-tDR-001130 were significantly down-regulated which the expression patterns were similar to the sequencing results. Conclusions:Our studies have demonstrated that there were significantly expressed tRFs&tiRNAs in breast cancer tissues. They are hopefully to become biomarkers and would be valuable researches in this area. tRFs&tiRNAs profiles of 6 pairs of breast cancer tissues and adjacent normal samples by deep sequencing, using Illumina NextSeq 500.
创建时间:
2020-01-21



