ArticleNature communications2017
Genome-wide identification and differential analysis of translational initiation.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
111 citing papers in PubMed.
- RiboBA: a bias-aware probabilistic framework for robust ORF identification across diverse ribosome profiling protocols.Nucleic acids research · 2026Article
- Noncoding RNA encoded peptides in tumors from discovery to mechanism and clinical translation.iScience · 2026Review
- Mutant p53 gains RNA-binding activity to reprogram translation and mitochondrial function.Cell reports · 2026Article
- Ribo-ITP enables identification of translons from limited input samples.Nature communications · 2026Article
- The degradation of maternal RNA-binding protein 4E-T regulates translational activation to ensure maternal-to-zygotic transition in mouse embryos.Cellular and molecular life sciences : CMLS · 2026Article
- TIPs: a deep learning-guided proteogenomic framework to expand the landscape of transposable element-derived antigens with immunopeptidomics.Genome biology · 2026Article
- A Proteogenomic Approach to Discover Novel lncRNA-Derived Microproteins and Their Potential Clinical Utility in Hepatocellular Carcinoma.Molecular & cellular proteomics : MCP · 2026Article
- The nuclear cap-binding complex safeguards stress-resistant protein synthesis and proliferation of stem cells.Science advances · 2026Article
- Computational prediction-combined proteogenomics unveils widespread non-AUG translation initiation events in plants.Nucleic acids research · 2026Article
- Review
- The birth, death, and evolutionary compensation of uORFs in Drosophila.Nucleic acids research · 2026Article
- Degradation Determinants Are Abundant in Human Noncanonical Proteins and Minor Annotated Isoforms.Genome biology and evolution · 2026Article
- Translation Signature Scores: Data-Driven Approach to Assess Evidence for Active Translation.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Identifying and Visualizing Novel Small Open Reading Frames (sORFs) Via Ribo-Seq, Transcriptome Assembly, and ggRibo.Methods in molecular biology (Clifton, N.J.) · 2026Article
- InspectorORF: a tool for visualizing Ribo-Seq and additional genomic or transcriptomic data.Bioinformatics advances · 2026Article
- Integrated analysis of post-transcriptional regulations reveals insights into acute myeloid leukemia.Communications biology · 2025Article
- Two microbiome metabolites compete for tRNA modification to impact mammalian cell proliferation and translation quality control.Nature cell biology · 2025Article
- Oncogenic roles of young human de novo genes and their potential as neoantigens in cancer immunotherapy.Cell genomics · 2025Article
- TheGenome research · 2025Article
- Optimised Ribosome Profiling Reveals New Insights Into Translational Regulation in Synchronised Chlamydomonas reinhardtii Cultures.Plant, cell & environment · 2025Article
51 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
19 authors.
Funding
Abstract
Translation is principally regulated at the initiation stage. The development of the translation initiation (TI) sequencing (TI-seq) technique has enabled the global mapping of TIs and revealed unanticipated complex translational landscapes in metazoans. Despite the wide adoption of TI-seq, there is no computational tool currently available for analyzing TI-seq data. To fill this gap, we develop a comprehensive toolkit named Ribo-TISH, which allows for detecting and quantitatively comparing TIs across conditions from TI-seq data. Ribo-TISH can also predict novel open reading frames (ORFs) from regular ribosome profiling (rRibo-seq) data and outperform several established methods in both computational efficiency and prediction accuracy. Applied to published TI-seq/rRibo-seq data sets, Ribo-TISH uncovers a novel signature of elevated mitochondrial translation during amino-acid deprivation and predicts novel ORFs in 5'UTRs, long noncoding RNAs, and introns. These successful applications demonstrate the power of Ribo-TISH in extracting biological insights from TI-seq/rRibo-seq data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.