tRFtarget 2.0: expanding the targetome landscape of transfer RNA-derived fragments

Author:

Li Ningshan12ORCID,Yao Siqiong34ORCID,Yu Guangjun1,Lu Lingeng5ORCID,Wang Zuoheng6ORCID

Affiliation:

1. The Second Affiliated Hospital, School of Medicine, The Chinese University of Hong Kong, Shenzhen & Longgang District People's Hospital of Shenzhen , Shenzhen , Guangdong  518172 , China

2. School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China , Hefei , Anhui  230027 , China

3. Joint International Research Laboratory of Metabolic & Developmental Sciences, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University , Shanghai  200240 , China

4. SJTU-Yale Joint Center of Biostatistics and Data Science, National Center for Translational Medicine, Shanghai Jiao Tong University , Shanghai  200240 , China

5. Department of Chronic Disease Epidemiology, Yale School of Public Health , New Haven , CT  06520 , USA

6. Department of Biostatistics, Yale School of Public Health , New Haven , CT  06520 , USA

Abstract

Abstract tRFtarget 1.0 (http://trftarget.net/) is a platform consolidating both computationally predicted and experimentally validated binding sites between transfer RNA-derived fragments (tRFs) and target genes (or transcripts) across multiple organisms. Here, we introduce a newly released version of tRFtarget 2.0, in which we integrated 6 additional tRF sources, resulting in a comprehensive collection of 2614 high-quality tRF sequences spanning across 9 species, including 1944 Homo sapiens tRFs and one newly incorporated species Rattus norvegicus. We also expanded target genes by including ribosomal RNAs, long non-coding RNAs, and coding genes >50 kb in length. The predicted binding sites have surged up to approximately 6 billion, a 20.5-fold increase than that in tRFtarget 1.0. The manually curated publications relevant to tRF targets have increased to 400 and the gene-level experimental evidence has risen to 232. tRFtarget 2.0 introduces several new features, including a web-based tool that identifies potential binding sites of tRFs in user's own datasets, integration of standardized tRF IDs, and inclusion of external links to contents within the database. Additionally, we enhanced website framework and user interface. With these improvements, tRFtarget 2.0 is more user-friendly, providing researchers a streamlined and comprehensive platform to accelerate their research progress.

Funder

National Institutes of Health

National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Genetics

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