Project description:The human genome encodes hundreds of tRNA genes but their individual contribution to the tRNA pool is not fully understood. Deep sequencing of tRNA transcripts (tRNA-Seq) can estimate tRNA abundance at single gene resolution, but tRNA structures and post-transcriptional modifications impair these analyses. Here we present a bioinformatics strategy to investigate differential tRNA gene expression and use it to compare tRNA-Seq datasets from cultured human cells and human brain. We find that sequencing caveats affect quantitation of only a subset of human tRNA genes. Unexpectedly, we detect several cases where the differences in tRNA expression among samples do not involve variations at the level of isoacceptor tRNA sets (tRNAs charged with the same amino acid but using different anticodons); but rather among tRNA genes within the same isodecoder set (tRNAs having the same anticodon sequence). Because isodecoder tRNAs are functionally equal in terms of genetic translation, their differential expression may be related to non-canonical tRNA functions. We show that several instances of differential tRNA gene expression result in changes in the abundance of tRNA-derived fragments (tRFs) but not of mature tRNAs. Examples of differentially expressed tRFs include: PIWI-associated RNAs, tRFs present in tissue samples but not in cells cultured in vitro, and somatic tissue-specific tRFs. Our data support that differential expression of tRNA genes regulate non-canonical tRNA functions performed by tRFs.
Project description:tRNA related fragments(tRF) and tRNA halves(tiRNA) are novel class of short non-coding RNA derived from tRNAs. Using RNA sequencing, we evaluated the tRFs/tiRNAs expression profiles in relapsed/refractory multiple myeloma and multiple myeloma patients. Bioinformatics analyses indicated that tRFs/tiRNAs may be involved in the progression and drug-resistance of multiple myeloma.
Project description:Here, we adopt a method that combines tRNA-seq and cp-RNA-seq to identify and quantify tRFs and tRNAs in plants. We provide a high-quality expression atlas of tRFs and tRNAs in Arabidopsis and rice, and uncovers complex tRFs repertoire and the dynamic expressions of tRNA genes in plants.
Project description:To explore the potential involvement of tRNA derived fragments (tRFs) in the human aortic vascular smooth muscle cells (HASMCs), we conducted tRFs profiling in three pairs of differentiated HASMCs (treated with PBS) and dedifferentiated HASMCs (treated with PDGF-BB 50 ng/ml) by microarray. Our results showed that tRFs were aberrantly expressed in dedifferentiated HASMCs compared with differentiated HASMCs and provided potential targets for novel insights into VSMC differentiation or vascular remodeling diseases.
Project description:Here, we apply tRNA-seq and YAMAT-seq to profile the expressions of tRFs and tRNAs in plants. We provide a high-quality expression atlas of tRFs and tRNAs in Arabidopsis and rice, and uncover complex tRF population and the dynamic expressions of tRNA genes in plants.
Project description:Despite being the leading cause of lung cancer death, the underlying molecular mechanisms driving metastasis progression are still not fully understood. tRNAs can generate a group of 18-40nt small RNA fragments named tRNA-derived small RNAs (tsRNAs) or tRNA-derived fragments (tRFs). Transfer RNA-derived fragments (tRFs) have been implicated in various biological processes in cancer. However, the role of tRFs in the development and progression of lung adenocarcinoma (LUAD) remains unclear. In the present study, we hypothesized that certain tRFs might become induced during LUAD metastatic progression. In this study, micropapillary and solid component was defined as high-risk, other component was defined as low-risk and adjcent tissue was defined as normal control. Our data revealed a series of dysregulated tRFs in 3 paired LUAD high-risk tissues, low-risk tissues and normal controls.
Project description:tRNA-derived fragments (tRFs) are new noncoding RNAs, and recent studies have shown that tRNAs and tRFs have important functions in cell metabolism via posttranscriptional regulation of gene expression. However, whether tRFs regulate cellular metabolism of the anterior cruciate ligament (ACL) remains elusive. The aim of this study was to investigate the role and action mechanism of tRFs in ACL cell metabolism. Arraystar_tRF&tiRNA was used to determine tRFs and tiRNA expression profiles in human OA ACL cells and NA ACL cells。
Project description:The goal of this study was to determine the state of the tRNA transcriptome in Liver tissue of Mus Musculus (Mouse). This includes expression data of mature tRNAs and tRNA fragments (tRFs), as well as associated modification states of these RNAs assessed using mismatching percentages from sequencing data.
Project description:The goal of this study was to determine the state of the tRNA transcriptome in Spleen tissue of Mus Musculus (Mouse). This includes expression data of mature tRNAs and tRNA fragments (tRFs), as well as associated modification states of these RNAs assessed using mismatching percentages from sequencing data.