JING JIN1,2,#, XIE LI1,#, TING QIU1,#, LEI SONG1, YUANYUE CUI1, GUANGYA ZHANG3,4, SHU LI2, WENCHENG ZHAO5,*
BIOCELL, Vol.47, No.7, pp. 1645-1650, 2023, DOI:10.32604/biocell.2023.029493
Abstract Background: This work aimed to reveal the expression profiles of tRNA-derived small RNAs (tsRNAs) in diabetes. Methods: Thirty-five diabetes patients and thirty-three controls were enrolled. The serum samples of 4 diabetes patients and 4 controls were subjected to tRF and tiRNA polymerase chain reaction (PCR) Array analysis. Then quantitative PCR (qPCR) validation was performed on all the samples. Bioinformatics analyses were conducted to explore their functions. Results: We found 115 tsRNAs that significantly differed between the two groups. 3′tiR-080-ProTGG(mt) was selected for further qPCR validation in all participants, and it was significantly decreased in diabetes patients More >
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