Protocol for analyzing tRNA-derived ncRNAs from small RNA-seq data using tRFUniverse functional analyses
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Updated: May 9, 2026

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved (Non-model) Organisms
Published on: May 9, 2017
Alessandro La Ferlita1, Giovanni Nigita2, Alfredo Ferro3
1Department of Internal Medicine, Division of Medical Oncology, Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Abstract:
Small RNA sequencing (smRNA-seq) reveals the complexity of tRNA-derived fragments (tRFs) in human physiology and disease. Here, we present a protocol for assessing tRF expression from smRNA-seq data. We describe steps for preprocessing, quality filtering, adapter trimming, and mapping reads. We then detail procedures for quantifying expressions and harmonizing data. We outline functional analyses using tRFUniverse, with a lung cancer case study from The Cancer Genome Atlas (TCGA) highlighting dysregulated tRFs and their roles. For complete details on the use and execution of this protocol, please refer to La Ferlita et al.1.
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