Background: Recent deep sequencing technologies have proven to be valuable resources to gain insights into the expression profiles of diverse tRNAs. However, despite these technologies, the association of tRNAs with diverse diseases has not been explored in depth because analytical tools are lacking.
Results: We developed a user-friendly tool, tRNA Expression Analysis Software Utilizing R for Easy use (tReasure), to analyze differentially expressed tRNAs (DEtRNAs) from deep sequencing data of small RNAs using R packages. tReasure can quantify individual mature tRNAs, isodecoders, and isoacceptors. By adopting stringent mapping strategies, tReasure supports the precise measurement of mature tRNA read counts. The whole analysis workflow for determining DEtRNAs (uploading FASTQ files, removing adapter sequences and poor-quality reads, mapping and quantifying tRNAs, filtering out low count tRNAs, determining DEtRNAs, and visualizing statistical analysis) can be performed with the tReasure package.
Conclusions: tReasure is an open-source software available for download at https://treasure.pmrc.re.kr and will be indispensable for users who have little experience with command-line software to explore the biological implication of tRNA expression.
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http://dx.doi.org/10.1186/s12859-022-04691-1 | DOI Listing |
Nucleic Acids Res
January 2025
Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa-shi, Chiba 277-8562, Japan.
The mammalian mitochondrial protein synthesis system produces 13 essential subunits of oxidative phosphorylation (OXPHOS) complexes. Translation initiation in mammalian mitochondria is characterized by the use of leaderless messenger RNAs (mRNAs) and non-AUG start codons, where the proofreading function of IF-3mt still remains elusive. Here, we developed a reconstituted mammalian mitochondrial translation system using in vitro transcribed and native mitochondrial transfer RNAs (tRNAs) to investigate IF-3mt's proofreading function.
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January 2025
Dipartimento di Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, Rome, Italy.
Background: Neuropilin-1 (NRP1) is a transmembrane protein involved in surface receptor complexes for a variety of extracellular signals. NRP1 expression in human cancers is associated with prominent angiogenesis and advanced progression stage. However, the molecular mechanisms underlying NRP1 activity in the tumor microenvironment remain unclear.
View Article and Find Full Text PDFStem Cell Res
January 2025
Division of Genetics and Metabolism - Department of Pediatrics, Center of Human Genomics and Precision Medicine, University of Wisconsin - School of Medicine and Public Health, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address:
We have described a novel mitochondrial disorder caused by biallelic pathogenic variants in the methionyl-tRNA synthetase 2 gene (MARS2), now termed Combined oxidative phosphorylation deficiency 25 (COXPD25). This study focuses on the generation and characterization of induced pluripotent stem cells (iPSCs) from fibroblasts of a patient with COXPD25. The resulting iPSC line ISMMSi060-A, carries the compound heterozygous variants c.
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of Respiratory Medicine, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
Background: Lung cancer (LC) is the leading cause of cancer-related death in humans. tRNA-derived small RNA (tsRNA) is a novel biomarker that plays a crucial role in the genesis and development of LC. In this study, we aimed to investigate the value of differentially expressed tsRNAs in LC through meta-analysis.
View Article and Find Full Text PDFJ Vis Exp
January 2025
Division of Molecular Neurogenetics, German Cancer Research Center (DKFZ);
Glioblastoma (GBM) is described as a group of highly malignant primary brain tumors and stands as one of the most lethal malignancies. The genetic and cellular characteristics of GBM have been a focal point of ongoing research, revealing that it is a group of heterogeneous diseases with variations in RNA expression, DNA methylation, or cellular composition. Despite the wealth of molecular data available, the lack of transferable pre-clinic models has limited the application of this information to disease classification rather than treatment stratification.
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