Toward a Species Search Engine: KISSE Offers a Rigorous Statistical Framework for Bone Collagen Tandem Mass Spectrometry Data
Source abstract
Abstract
Abstract 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, a first approximation of the species search engine (SSE) is introduced. 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. The advantages and limitations of the proposed approach, and the possibility of extending it to other tissues is discussed.
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Research context
OpenAlex topics: Metabolomics and Mass Spectrometry Studies · Advanced Proteomics Techniques and Applications · Identification and Quantification in Food
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Division of Chemistry I Department of Medical Biochemistry and Biophysics Karolinska Institutet Stockholm 17177 Sweden
Chemical Proteomics Swedish National Infrastructure for Biological Mass Spectrometry (BioMS) Stockholm 171 77 Sweden
Chemical Proteomics Unit SciLifeLab Stockholm 171 77 Sweden
Department of Microbiology Tumor and Cell Biology Karolinska Institutet Stockholm 171 77 Sweden
Pelago Bioscience Solna 171 65 Sweden
Department of Pharmacological & Technological Chemistry I.M. Sechenov First Moscow State Medical University Moscow 119146 Russia
Department of Pharmaceutical and Toxicological Chemistry Medical Institute RUDN University 6 Miklukho‐Maklaya St Moscow 117198 Russia
Funding
Vetenskapsrådet
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