Influence of different sample preparation strategies on hypothesis-driven shotgun proteomic analysis of human saliva

Abstract: This research aimed to find an efficient and repeatable bottom-up proteolytic strategy to process the unstimulated human saliva. The focus is on monitoring immune system activation via the cytokine and interleukin signaling pathways. Carbohydrate metabolism is also being studied as a possible trigger of inflammation and joint damage in the context of the diagnostic procedure of temporomandibular joint disorder. The preparation of clean peptide mixtures for liquid chromatography–mass spectrometry analysis was performed considering different aspects of sample preparation: the filter-aided sample preparation (FASP) with different loadings of salivary proteins, the unfractionated saliva, amylase-depleted, and amylase-enriched salivary fractions. To optimize the efficiency of the FASP method, the protocols with the digestion in the presence of 80% acetonitrile and one-step digestion in the presence of 80% acetonitrile were used, omitting protein reduction and alkylation. The digestion procedures were repeated in the standard in-solution mode. Alternatively, the temperature of 24 and 37°C was examined during the trypsin digestion. DyNet analysis of the hierarchical networks of Gene Ontology terms corresponding to each sample preparation method for the bottom-up assay revealed the wide variability in protein properties. The method can easily be tailored to the specific samples and groups of proteins to be examined.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Influence of different sample preparation strategies on hypothesis-driven shotgun proteomic analysis of human saliva ; volume:20 ; number:1 ; year:2022 ; pages:1000-1018 ; extent:19 ; Open chemistry ; 20, Heft 1 (2022), 1000-1018 (gesamt 19)

Contributors, Places and Time

• Creator: Schwartzová, Vladimíra ; Talian, Ivan ; Laputková, Galina

Further information

• DOI: 10.1515/chem-2022-0216
• URN: urn:nbn:de:101:1-2022100714234012596608
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:31 AM CEST