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. 2022 May 20;12(5):e830. doi: 10.1002/ctm2.830

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© 2022 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.

This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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The biological functions of tRF‐Ala‐AGC‐2‐M4. (A) Secondary structure prediction of tRF‐Ala‐AGC‐2‐M4. (B) Network interaction mapping of tRF‐Ala‐AGC‐2‐M4 with genes where the minimum required interaction score was set to .5 and k‐means clustering was adopted. (C, D) GO terms and signal pathway analysis of tRF‐Ala‐AGC‐2‐M4. The conditions of cluster analysis were as follows: tsRNAs were highly expressed and coexpressed only in tRF‐gene interactions (TGIs), while the number of genes cotargeted by tsRNAs was at least 1. Bioinformatics analysis and structure prediction of tRF‐Ala‐AGC‐2‐M4 was performed via the tRNAdb database (http://trna.bioinf.uni‐leipzig.de/), network map prediction via STRING (https://cn.string‐db.org/) and GO and pathway analysis via tRFTar (http://www.rnanut.net/tRFTar/)