Direct In-Bone Protein Digestion With Subsequent LC Separation and Trap Ion Mobility MS Detection of Released Peptides as an Effective Tool for the Proteomic Characterization of Bone Tissues
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388963%3A_____%2F25%3A00639215" target="_blank" >RIV/61388963:_____/25:00639215 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11110/25:10503251 RIV/60461373:22330/25:43933045 RIV/60461373:22340/25:43933045 RIV/00064203:_____/25:10503251
Result on the web
<a href="https://doi.org/10.1002/jssc.70277" target="_blank" >https://doi.org/10.1002/jssc.70277</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/jssc.70277" target="_blank" >10.1002/jssc.70277</a>
Alternative languages
Result language
angličtina
Original language name
Direct In-Bone Protein Digestion With Subsequent LC Separation and Trap Ion Mobility MS Detection of Released Peptides as an Effective Tool for the Proteomic Characterization of Bone Tissues
Original language description
Common pathological changes in bone tissues like osteomas or exostoses remain not fully understood at the molecular level due to the difficulties in analyzing bone tissues in which they occur. Therefore, new rapid and powerful techniques are needed that could become routine tools for such analysis. The primary aim of this study was to evaluate whether direct in-bone tryptic protein digestion followed by LC separation and trap ion mobility MS detection and identification of released peptides is able to identify sufficient numbers of proteins in above mentioned bone tissues. The second aim was to verify whether the mathematical analysis of the obtained MS data would have a potential to distinguish pathological and control healthy bone tissues. It turned out that this approach made possible to identify altogether 4810 proteins in samples of control healthy skull bone tissues, 6284 proteins in pathological skull bone tissues, and 3000 proteins in mandibular bone tissues. Mathematical analysis of obtained MS data enabled to discriminate control healthy and pathological skull bone tissues samples with accuracy of 87%. Thus, the reported approach seems to have a high potential for routine and effective characterization of bone tissues, in which pathological changes like exostoses or osteomas may occur. Data are available via ProteomeXchange with identifier PXD065656.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10406 - Analytical chemistry
Result continuities
Project
<a href="/en/project/LUC23138" target="_blank" >LUC23138: The role of inflammation in the progression of atherosclerosis studied by metabolomic and proteomic tools</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Separation Science
ISSN
1615-9306
e-ISSN
1615-9314
Volume of the periodical
48
Issue of the periodical within the volume
9
Country of publishing house
US - UNITED STATES
Number of pages
9
Pages from-to
e70277
UT code for WoS article
001573696400001
EID of the result in the Scopus database
2-s2.0-105016452881