ArticleScience (New York, N.Y.)2025
Pan-viral ORFs discovery using massively parallel ribosome profiling.
Article in Science (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
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Who cites it
3 citing papers in PubMed.
- The microprotein Dafcin resembles influenza HA fusion peptide and regulates the size of storage lysosomes in the germline.bioRxiv : the preprint server for biology · 2026Article
- A Primer on Proteomic Characterization of Intercellular Communication in a Virus Microenvironment.Molecular & cellular proteomics : MCP · 2025Review
- The 2024 Report on the Human Proteome from the HUPO Human Proteome Project.Journal of proteome research · 2024Review
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
Defining viral proteomes is crucial to understanding viral life cycles and immune recognition but the landscape of translated regions remains unknown for most viruses. We have developed massively parallel ribosome profiling (MPRP) to determine open reading frames (ORFs) across tens of thousands of designed oligonucleotides. MPRP identified 4208 unannotated ORFs in 679 human-associated viral genomes. We found viral peptides originating from detected noncanonical ORFs presented on class-I human leukocyte antigen in infected cells and hundreds of upstream ORFs that likely modulate translation initiation of viral proteins. The discovery of viral ORFs across a wide range of viral families-including highly pathogenic viruses-expands the repertoire of vaccine targets and reveals potential cis-regulatory sequences.
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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.