ArticleJournal of the American Chemical Society2013
Chemoproteomic discovery of cysteine-containing human short open reading frames.
Article in Journal of the American Chemical Society, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 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
17 citing papers in PubMed.
- Article
- A large-scale sORF screen identifies putative microproteins involved in cancer cell fitness.iScience · 2025Article
- Comprehensive discovery and functional characterization of the noncanonical proteome.Cell research · 2025Article
- Noncoding RNA-encoded peptides in cancer: biological functions, posttranslational modifications and therapeutic potential.Journal of hematology & oncology · 2025Review
- What Can Ribo-Seq, Immunopeptidomics, and Proteomics Tell Us About the Noncanonical Proteome?Molecular & cellular proteomics : MCP · 2023Article
- Chemical labeling and proteomics for characterization of unannotated small and alternative open reading frame-encoded polypeptides.Biochemical Society transactions · 2023Review
- What can Ribo-seq and proteomics tell us about the non-canonical proteome?bioRxiv : the preprint server for biology · 2023Article
- Review
- Nascent alt-protein chemoproteomics reveals a pre-60S assembly checkpoint inhibitor.Nature chemical biology · 2022Article
- Noncanonical open reading frames encode functional proteins essential for cancer cell survival.Nature biotechnology · 2021Article
- Strategies and Challenges in Identifying Function for Thousands of sORF-Encoded Peptides in Meiosis.Proteomics · 2018Article
- Micropeptides Encoded in Transcripts Previously Identified as Long Noncoding RNAs: A New Chapter in Transcriptomics and Proteomics.Frontiers in genetics · 2018Review
- Ribosome profiling reveals the what, when, where and how of protein synthesis.Nature reviews. Molecular cell biology · 2015Review
- Identification of small ORFs in vertebrates using ribosome footprinting and evolutionary conservation.The EMBO journal · 2014Article
- A human short open reading frame (sORF)-encoded polypeptide that stimulates DNA end joining.The Journal of biological chemistry · 2014Article
- Discovery of human sORF-encoded polypeptides (SEPs) in cell lines and tissue.Journal of proteome research · 2014Article
- Ribosome profiling: new views of translation, from single codons to genome scale.Nature reviews. Genetics · 2014Review
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
Abstract
The application of ribosome profiling and mass spectrometry technologies has recently revealed that the human proteome is larger than previously appreciated. Short open reading frames (sORFs), which are difficult to identify using traditional gene-finding algorithms, constitute a significant fraction of unknown protein-coding genes. Thus, experimental approaches to identify sORFs provide invaluable insight into the protein-coding potential of genomes. Here, we report an affinity-based approach to enrich and identify cysteine-containing human sORF-encoded polypeptides (ccSEPs) from cells. This approach revealed 16 novel ccSEPs, each derived from an uncharacterized sORF, demonstrating its potential for discovering new genes. We validated expression of a SEP from its endogenous RNA, and demonstrated the specificity of our labeling approach using synthetic SEP. The discovery of additional human SEPs and their conservation indicate the potential importance of these molecules in biology.
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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.