PXD066599 is an
original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Peptide analysis in human cell lines via high-resolution MRM (PRM) for the annotation of non-canonical open reading frames |
| Description | A major scientific drive is to characterize the protein-coding genome, which is a primary basis for studying human health. But the fundamental question remains: what has been missed in prior analyses? Over the past decade, the translation of non-canonical open reading frames (ncORFs) has been observed across human cell types and disease states, with major implications for proteomics, genomics, and clinical science. However, the impact of ncORFs has been limited by the absence of a generalized understanding of their contribution to the human proteome. Here, we report the collaborative efforts of stakeholders in proteomics, immunopeptidomics, ORF discovery, and gene annotation to produce a consensus landscape of protein-level evidence for ncORFs. We show that at least 25% of a set of 7,264 ncORFs give rise to translated gene products detected in a large-scale analysis encompassing 3.8 billion mass spectra from 95,520 experiments. With these data, we developed an annotation framework for ncORFs and codified public tools for researchers through GENCODE and PeptideAtlas. To probe the biological implications of ncORFs, we created a custom evolutionary analysis approach, termed ORF Relative Branch Length (ORBL), and found that a substantial fraction of ncORFs exhibit evolutionary constraint as open reading frames, which associates with the chance of observing ncORF-derived peptides. To classify such cases, we invoked the model of “peptideins” as a new protein annotation concept referring to ncORF-derived polypeptides that fall short of the definition of a conventional protein. We then employed knockout screens of putative peptideins and characterized one ncORF from the OLMALINC transcript as responsible for a pan-essential cellular phenotype. Overall, our work will provide a platform to advance ncORF-derived proteins in biomedical discovery and, beyond humans, diverse animals and plants where ncORFs are similarly observed.
We demonstrated that ncORF peptides are detectable in human cell lysates using targeted mass spectrometry and heavy labeled synthetic peptides. Data were acquired with a ZenoTOF 8600 as well as an Orbitrap Astral mass spectrometer. |
| HostingRepository | PRIDE |
| AnnounceDate | 2026-02-17 |
| AnnouncementXML | Submission_2026-02-17_13:42:44.520.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Ulrike Kusebauch |
| SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: NEWT:9606; |
| ModificationList | isotope labeled residue; iodoacetamide derivatized residue |
| Instrument | ZenoTOF 7600 |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
| 0 | 2025-07-25 18:52:11 | ID requested | |
| ⏵ 1 | 2026-02-17 13:42:45 | announced | |
| 2 | 2026-02-24 02:41:03 | announced | 2026-02-24: Updated project metadata. |
Publication List
| Dataset with its publication pending |
Keyword List
| submitter keyword: cell lines, MRMHR (PRM),human, non-canonical open reading frames |
Contact List
| Robert L. |
| contact affiliation | Institute for Systems Biology, Seattle, WA, USA |
| contact email | rmoritz@systemsbiology.org |
| lab head | |
| Ulrike Kusebauch |
| contact affiliation | Institute for Systems Biology, Seattle, WA, USA |
| contact email | ukusebauch@systemsbiology.org |
| dataset submitter | |
Full Dataset Link List
Dataset FTP location
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| PRIDE project URI |
Repository Record List
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[ - ]
- PRIDE
- PXD066599
- Label: PRIDE project
- Name: Peptide analysis in human cell lines via high-resolution MRM (PRM) for the annotation of non-canonical open reading frames