ReviewRNA biology2023
Discovering microproteins: making the most of ribosome profiling data.
Review in RNA biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed.
- A microprotein atlas of the human frontal cortex in Alzheimer's disease.Nature aging · 2026Article
- Identification of unannotated microproteins involved in endothelial cell homeostasis, dysfunction, and vascular disease.Cardiovascular research · 2026Article
- Article
- An expanded reference catalog of translated open reading frames for biomedical research.Nucleic acids research · 2026Article
- Systematic Detection of Alternative Open Reading Frames (altORFs) in Cancer Driver Genes.Journal of molecular evolution · 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
- Microproteins: Uncovering Hidden Layers of the Proteome.Methods in molecular biology (Clifton, N.J.) · 2026Review
- Microproteins in Metabolic Biology: Emerging Functions and Potential Roles as Nutrient-Linked Biomarkers.International journal of molecular sciences · 2025Review
- TheGenome research · 2025Article
- Mitochondrial-derived microproteins: from discovery to function.Trends in genetics : TIG · 2025Review
- Finding functional microproteins.Trends in genetics : TIG · 2025Review
- CICADA: a circRNA effort toward the ghost proteome.Nucleic acids research · 2025Article
- ShortStop: a machine learning framework for microprotein discovery.BMC methods · 2025Article
- Evaluation of Eukaryotic mRNA Coding Potential.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Noncanonical microprotein regulation of immunity.Molecular therapy : the journal of the American Society of Gene Therapy · 2024Review
- Microproteins unveiling new dimensions in cancer.Functional & integrative genomics · 2024Review
- Small but mighty: the rise of microprotein biology in neuroscience.Frontiers in molecular neuroscience · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Building a reference set of protein-coding open reading frames (ORFs) has revolutionized biological process discovery and understanding. Traditionally, gene models have been confirmed using cDNA sequencing and encoded translated regions inferred using sequence-based detection of start and stop combinations longer than 100 amino-acids to prevent false positives. This has led to small ORFs (smORFs) and their encoded proteins left un-annotated. Ribo-seq allows deciphering translated regions from untranslated irrespective of the length. In this review, we describe the power of Ribo-seq data in detection of smORFs while discussing the major challenge posed by data-quality, -depth and -sparseness in identifying the start and end of smORF translation. In particular, we outline smORF cataloguing efforts in humans and the large differences that have arisen due to variation in data, methods and assumptions. Although current versions of smORF reference sets can already be used as a powerful tool for hypothesis generation, we recommend that future editions should consider these data limitations and adopt unified processing for the community to establish a canonical catalogue of translated smORFs.
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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.