Quantitative and qualitative detection of tRNAs, tRNA halves and tRFs in human cancer samples: Molecular grounds for biomarker development and clinical perspectives

被引:5
作者
Cabrelle, Chiara [1 ]
Giorgi, Federico Manuel [1 ]
Mercatelli, Daniele [1 ]
机构
[1] Univ Bologna, Dept Pharm & Biotechnol, I-40126 Bologna, Italy
关键词
Biomarkers; Cancer; tRNA halves; tRNA-derived fragments; Genomics; Bioinformatics; BREAST-CANCER; FRAGMENTS; EXPRESSION; DATABASE; MITOCHONDRIAL; LANDSCAPE; SEQ; METASTASIS; RESOLUTION; SIGNATURE;
D O I
10.1016/j.gene.2023.148097
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Transfer RNAs (tRNAs) are small non-coding RNAs playing a central role during protein synthesis. Besides translation, growing evidence suggests that in many contexts, precursor or mature tRNAs can also be processed into smaller fragments playing many non-canonical regulatory roles in different biological pathways with oncogenic relevance. Depending on the source, these molecules can be classified as tRNA halves (also known as tiRNAs) or tRNA-derived fragments (tRFs), and furtherly divided into 5'-tRNA and 3'-tRNA halves, or tRF-1, tRF2, tRF-3, tRF-5, and i-tRF, respectively. Unlike DNA and mRNA, high-throughput sequencing of tRNAs is challenging, because of technical limitations of currently developed sequencing methods. In recent years, different sequencing approaches have been proposed allowing the quantification and identification of an increasing number of tRNA fragments with critical functions in distinct physiological and pathophysiological processes. In the present review, we discussed pros and cons of recent advances in different sequencing methods, also introducing the expanding repertoire of bioinformatics tool and resources specifically focused on tRNA research and discussing current issues in the study of these small RNA molecules. Furthermore, we discussed the potential value of tRNA fragments as diagnostic and prognostic biomarkers for different types of cancers.
引用
收藏
页数:10
相关论文
共 118 条
  • [1] RNA Polymerase III Output Is Functionally Linked to tRNA Dimethyl-G26 Modification
    Arimbasseri, Aneeshkumar G.
    Blewett, Nathan H.
    Iben, James R.
    Lamichhane, Tek N.
    Cherkasova, Vera
    Hafner, Markus
    Maraia, Richard J.
    [J]. PLOS GENETICS, 2015, 11 (12):
  • [2] tsRNA signatures in cancer
    Balatti, Veronica
    Nigita, Giovanni
    Veneziano, Dario
    Drusco, Alessandra
    Stein, Gary S.
    Messier, Terri L.
    Farina, Nicholas H.
    Lian, Jane B.
    Tomasello, Luisa
    Liu, Chang-Gong
    Palamarchuk, Alexey
    Hart, Jonathan R.
    Bell, Catherine
    Carosi, Mariantonia
    Pescarmona, Edoardo
    Perracchio, Letizia
    Diodoro, Maria
    Russo, Andrea
    Antenucci, Anna
    Visca, Paolo
    Ciardi, Antonio
    Harris, Curtis C.
    Vogt, Peter K.
    Pekarsky, Yuri
    Croce, Carlo M.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2017, 114 (30) : 8071 - 8076
  • [3] High-resolution quantitative profiling of tRNA abundance and modification status in eukaryotes by mim-tRNAseq
    Behrens, Andrew
    Rodschinka, Geraldine
    Nedialkova, Danny D.
    [J]. MOLECULAR CELL, 2021, 81 (08) : 1802 - +
  • [4] MODOMICS: a database of RNA modification pathways. 2021 update
    Boccaletto, Pietro
    Stefaniak, Filip
    Ray, Angana
    Cappannini, Andrea
    Mukherjee, Sunandan
    Purta, Elzbieta
    Kurkowska, Malgorzata
    Shirvanizadeh, Niloofar
    Destefanis, Eliana
    Groza, Paula
    Avsar, Gulben
    Romitelli, Antonia
    Pir, Pinar
    Dassi, Erik
    Conticello, Silvestro G.
    Aguilo, Francesca
    Bujnicki, Janusz M.
    [J]. NUCLEIC ACIDS RESEARCH, 2022, 50 (D1) : D231 - D235
  • [5] tRNAscan-SE 2.0: improved detection and functional classification of transfer RNA genes
    Chan, Patricia P.
    Lin, Brian Y.
    Mak, Allysia J.
    Lowe, Todd M.
    [J]. NUCLEIC ACIDS RESEARCH, 2021, 49 (16) : 9077 - 9096
  • [6] GtRNAdb 2.0: an expanded database of transfer RNA genes identified in complete and draft genomes
    Chan, Patricia P.
    Lowe, Todd M.
    [J]. NUCLEIC ACIDS RESEARCH, 2016, 44 (D1) : D184 - D189
  • [7] Identifying Differentially Expressed tRNA-Derived Small Fragments as a Biomarker for the Progression and Metastasis of Colorectal Cancer
    Chen, Hui
    Xu, Zhiying
    Cai, Hua
    Peng, Ya
    Yang, Li
    Wang, Zhen
    [J]. DISEASE MARKERS, 2022, 2022
  • [8] Chu X., 2022, Front. Cell Dev, Biol, P10
  • [9] YM500v3: a database for small RNA sequencing in human cancer research
    Chung, I-Fang
    Chang, Shing-Jyh
    Chen, Chen-Yang
    Liu, Shu-Hsuan
    Li, Chia-Yang
    Chan, Chia-Hao
    Shih, Chuan-Chi
    Cheng, Wei-Chung
    [J]. NUCLEIC ACIDS RESEARCH, 2017, 45 (D1) : D925 - D931
  • [10] Filtering of deep sequencing data reveals the existence of abundant Dicer-dependent small RNAs derived from tRNAs
    Cole, Christian
    Sobala, Andrew
    Lu, Cheng
    Thatcher, Shawn R.
    Bowman, Andrew
    Brown, John W. S.
    Green, Pamela J.
    Barton, Geoffrey J.
    Hutvagner, Gyorgy
    [J]. RNA, 2009, 15 (12) : 2147 - 2160