Dissecting tRNA-derived fragment complexities using personalized transcriptomes reveals novel fragment classes and unexpected dependencies

• DOI: 10.18632/oncotarget.4695
• Publication Date: 2015-09-28T16:51:29Z
• Authors: Aristeidis G. Tel...; Phillipe Loher; Shozo Honda; Yi Jing; Juan Palazzo; Yohei Kirino; Isidore Rigoutsos
• Keywords: Male; 0301 basic medicine; Base Sequence; Models, Genetic; RNA, Mitochondrial; Molecular Sequence Data; Genetic Variation; Breast Neoplasms; Cell Line; 3. Good health; 03 medical and health sciences; Gene Expression Regulation; RNA, Transfer; Cell Line, Tumor; Anticodon; MCF-7 Cells; Cluster Analysis; Humans; Nucleic Acid Conformation; RNA; Female; Transcriptome

We analyzed transcriptomic data from 452 healthy men and women representing five different human populations and two races, and, 311 breast cancer samples from The Cancer Genome Atlas. Our studies revealed numerous constitutive, distinct fragments with overlapping sequences and quantized lengths that persist across dozens of individuals and arise from the genomic loci of all nuclear and mitochondrial human transfer RNAs (tRNAs). Surprisingly, we discovered that the tRNA fragments' length, starting and ending points, and relative abundance depend on gender, population, race and also on amino acid identity, anticodon, genomic locus, tissue, disease, and disease subtype. Moreover, the length distribution of mitochondrially-encoded tRNAs differs from that of nuclearly-encoded tRNAs, and the specifics of these distributions depend on tissue. Notably, tRNA fragments from the same anticodon do not have correlated abundances. We also report on a novel category of tRNA fragments that significantly contribute to the differences we observe across tissues, genders, populations, and races: these fragments, referred to as i-tRFs, are abundant in human tissues, wholly internal to the respective mature tRNA, and can straddle the anticodon. HITS-CLIP data analysis revealed that tRNA fragments are loaded on Argonaute in a cell-dependent manner, suggesting cell-dependent functional roles through the RNA interference pathway. We validated experimentally two i-tRF molecules: the first was found in 21 of 22 tested breast tumor and adjacent normal samples and was differentially abundant between health and disease whereas the second was found in all eight tested breast cancer cell lines.