PXD060919 is an
original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Towards a species search engine: KISSE offers a rigorous statistical framework for bone collagen tandem mass spectrometry data |
| Description | DNA and bone collagen are two key sources of resilient molecular markers used to identify species from their remains. Collagen is more stable than DNA, and thus it is preferred for ancient and degraded samples. Current mass spectrometry-based collagen sequencing approaches are empirical and lack a rigorous statistical framework. Based on the well-developed approaches to protein identification in shotgun proteomics, we introduce a first approximation of the species search engine (SSE). Our SSE named KISSE is based on a species-specific library of collagenous peptides that uses both peptide sequences and their relative abundances. The developed statistical model can identify the species and the probability of correct identification, as well as determine the likelihood of the analyzed species not being in the library. We discuss the advantages and limitations of the proposed approach and the possibility of extending it to other tissues. |
| HostingRepository | PRIDE |
| AnnounceDate | 2025-11-10 |
| AnnouncementXML | Submission_2025-11-09_17:02:26.386.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Hassan Gharibi |
| SpeciesList | scientific name: Ursus maritimus (Polar bear) (Thalarctos maritimus); NCBI TaxID: NEWT:29073; scientific name: Ursus arctos (Brown bear) (Grizzly bear); NCBI TaxID: NEWT:9644; scientific name: Falco peregrinus; NCBI TaxID: NEWT:8954; scientific name: Rangifer tarandus (Reindeer) (Cervus tarandus); NCBI TaxID: NEWT:9870; scientific name: Hydrodamalis gigas; NCBI TaxID: NEWT:63631; scientific name: Phoca vitulina; NCBI TaxID: NEWT:9720; scientific name: Physeter; NCBI TaxID: NEWT:9753; scientific name: Mirounga leonina; NCBI TaxID: NEWT:9715; scientific name: Cygnus cygnus; NCBI TaxID: NEWT:219595; scientific name: Halichoerus grypus; NCBI TaxID: NEWT:9711; scientific name: Eschrichtius robustus; NCBI TaxID: NEWT:9764; scientific name: Balaena mysticetus; NCBI TaxID: NEWT:27602; scientific name: Ziphius cavirostris; NCBI TaxID: NEWT:9760; |
| ModificationList | monohydroxylated residue; deamidated residue |
| Instrument | Orbitrap Fusion Lumos; Orbitrap Fusion |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
| 0 | 2025-02-18 06:53:59 | ID requested | |
| ⏵ 1 | 2025-11-09 17:02:27 | announced | |
Publication List
| 10.1002/advs.202503963; |
| Gharibi H, Saei AA, Chernobrovkin AL, Lundstrom SL, Lyu H, Meng Z, Vegvari A, Gaetani M, Zubarev RA, Toward a Species Search Engine: KISSE Offers a Rigorous Statistical Framework for Bone Collagen Tandem Mass Spectrometry Data. Adv Sci (Weinh), 12(40):e03963(2025) [pubmed] |
Keyword List
| submitter keyword: Collagen,LC-MS/MS, Species Identification |
Contact List
| Roman A. Zubarev |
| contact affiliation | Division of Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Sweden |
| contact email | roman.zubarev@ki.se |
| lab head | |
| Hassan Gharibi |
| contact affiliation | Chemical Proteomics Unit, Department of Medical Biochemistry and Biophysics, Karolinska Institutet |
| contact email | hassan.gharibi@ki.se |
| dataset submitter | |
Full Dataset Link List
Dataset FTP location
NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2025/11/PXD060919 |
| PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD060919
- Label: PRIDE project
- Name: Towards a species search engine: KISSE offers a rigorous statistical framework for bone collagen tandem mass spectrometry data