Literature DB >> 31735953

Identification of tRNA-derived ncRNAs in TCGA and NCI-60 panel cell lines and development of the public database tRFexplorer.

Alessandro La Ferlita1,2, Salvatore Alaimo2, Dario Veneziano3, Giovanni Nigita3, Veronica Balatti3, Carlo M Croce3, Alfredo Ferro2, Alfredo Pulvirenti2.   

Abstract

Next-generation sequencing is increasing our understanding and knowledge of non-coding RNAs (ncRNAs), elucidating their roles in molecular mechanisms and processes such as cell growth and development. Within such a class, tRNA-derived ncRNAs have been recently associated with gene expression regulation in cancer progression. In this paper, we characterize, for the first time, tRNA-derived ncRNAs in NCI-60. Furthermore, we assess their expression profile in The Cancer Genome Atlas (TCGA). Our comprehensive analysis allowed us to report 322 distinct tRNA-derived ncRNAs in NCI-60, categorized in tRNA-derived fragments (11 tRF-5s, 55 tRF-3s), tRNA-derived small RNAs (107 tsRNAs) and tRNA 5' leader RNAs (149 sequences identified). In TCGA, we were able to identify 232 distinct tRNA-derived ncRNAs categorized in 53 tRF-5s, 58 tRF-3s, 63 tsRNAs and 58 5' leader RNAs. This latter group represents an additional evidence of tRNA-derived ncRNAs originating from the 5' leader region of precursor tRNA. We developed a public database, tRFexplorer, which provides users with the expression profile of each tRNA-derived ncRNAs in every cell line in NCI-60 as well as for each TCGA tumor type. Moreover, the system allows us to perform differential expression analyses of such fragments in TCGA, as well as correlation analyses of tRNA-derived ncRNAs expression in TCGA and NCI-60 with gene and miRNA expression in TCGA samples, in association with all omics and compound activities data available on CellMiner. Hence, the tool provides an important opportunity to investigate their potential biological roles in absence of any direct experimental evidence. Database URL: https://trfexplorer.cloud/.
© The Author(s) 2019. Published by Oxford University Press.

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Year:  2019        PMID: 31735953      PMCID: PMC6859256          DOI: 10.1093/database/baz115

Source DB:  PubMed          Journal:  Database (Oxford)        ISSN: 1758-0463            Impact factor:   3.451


  61 in total

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Authors:  William C Reinhold; Margot Sunshine; Sudhir Varma; James H Doroshow; Yves Pommier
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2.  miR-141 regulates KEAP1 and modulates cisplatin sensitivity in ovarian cancer cells.

Authors:  M T M van Jaarsveld; J Helleman; A W M Boersma; P F van Kuijk; W F van Ijcken; E Despierre; I Vergote; R H J Mathijssen; E M J J Berns; J Verweij; J Pothof; E A C Wiemer
Journal:  Oncogene       Date:  2012-10-08       Impact factor: 9.867

3.  Stress induces tRNA cleavage by angiogenin in mammalian cells.

Authors:  Hanjiang Fu; Junjun Feng; Qin Liu; Fang Sun; Yi Tie; Jie Zhu; Ruiyun Xing; Zhixian Sun; Xiaofei Zheng
Journal:  FEBS Lett       Date:  2008-12-27       Impact factor: 4.124

Review 4.  tRNA fragments in human health and disease.

Authors:  Paul Anderson; Pavel Ivanov
Journal:  FEBS Lett       Date:  2014-09-16       Impact factor: 4.124

5.  Deep Sequencing of Serum Small RNAs Identifies Patterns of 5' tRNA Half and YRNA Fragment Expression Associated with Breast Cancer.

Authors:  Joseph M Dhahbi; Stephen R Spindler; Hani Atamna; Dario Boffelli; David Ik Martin
Journal:  Biomark Cancer       Date:  2014-12-08

6.  HTSeq--a Python framework to work with high-throughput sequencing data.

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7.  Meta-analysis of tRNA derived RNA fragments reveals that they are evolutionarily conserved and associate with AGO proteins to recognize specific RNA targets.

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8.  Substrate recognition and cleavage-site selection by a single-subunit protein-only RNase P.

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9.  A comprehensive repertoire of tRNA-derived fragments in prostate cancer.

Authors:  Michael Olvedy; Mauro Scaravilli; Youri Hoogstrate; Tapio Visakorpi; Guido Jenster; Elena S Martens-Uzunova
Journal:  Oncotarget       Date:  2016-04-26

10.  MINTmap: fast and exhaustive profiling of nuclear and mitochondrial tRNA fragments from short RNA-seq data.

Authors:  Phillipe Loher; Aristeidis G Telonis; Isidore Rigoutsos
Journal:  Sci Rep       Date:  2017-02-21       Impact factor: 4.379

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  16 in total

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2.  Pathway Analysis for Cancer Research and Precision Oncology Applications.

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Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

3.  tsRFun: a comprehensive platform for decoding human tsRNA expression, functions and prognostic value by high-throughput small RNA-Seq and CLIP-Seq data.

Authors:  Jun-Hao Wang; Wen-Xin Chen; Shi-Qiang Mei; Yue-Dong Yang; Jian-Hua Yang; Liang-Hu Qu; Ling-Ling Zheng
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4.  Dysregulation of microRNAs and tRNA-derived ncRNAs in mesothelial and mesothelioma cell lines after asbestiform fiber exposure.

Authors:  Alfredo Pulvirenti; Carla Loreto; Veronica Filetti; Alessandro La Ferlita; Antonio Di Maria; Venera Cardile; Adriana C E Graziano; Venerando Rapisarda; Caterina Ledda
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Review 5.  tRNA-derived RNA fragments in cancer: current status and future perspectives.

Authors:  Mengqian Yu; Bingjian Lu; Jisong Zhang; Jinwang Ding; Pengyuan Liu; Yan Lu
Journal:  J Hematol Oncol       Date:  2020-09-04       Impact factor: 17.388

6.  tsRBase: a comprehensive database for expression and function of tsRNAs in multiple species.

Authors:  Yuanli Zuo; Lei Zhu; Zhixin Guo; Wenrong Liu; Jiting Zhang; Zhen Zeng; Qingbin Wu; Jian Cheng; Xin Fu; Yang Jin; Yun Zhao; Yong Peng
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

7.  tRFtarget: a database for transfer RNA-derived fragment targets.

Authors:  Ningshan Li; Nayang Shan; Lingeng Lu; Zuoheng Wang
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

8.  miRTissue ce: extending miRTissue web service with the analysis of ceRNA-ceRNA interactions.

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9.  Interplay of tRNA-Derived Fragments and T Cell Activation in Breast Cancer Patient Survival.

Authors:  Nayang Shan; Ningshan Li; Qile Dai; Lin Hou; Xiting Yan; Amei Amei; Lingeng Lu; Zuoheng Wang
Journal:  Cancers (Basel)       Date:  2020-08-10       Impact factor: 6.639

Review 10.  tRNA-derived fragments as New Hallmarks of Aging and Age-related Diseases.

Authors:  Ya Yuan; Jiamei Li; Zhi He; Xiaolan Fan; Xueping Mao; Mingyao Yang; Deying Yang
Journal:  Aging Dis       Date:  2021-08-01       Impact factor: 6.745

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