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Extracellular Vesicle Protein Expression in Doped Bioactive Glasses: Further Insights Applying Anomaly Detection.
Nascimben, Mauro; Abreu, Hugo; Manfredi, Marcello; Cappellano, Giuseppe; Chiocchetti, Annalisa; Rimondini, Lia.
Afiliação
  • Nascimben M; Center for Translational Research on Autoimmune and Allergic Diseases, Department of Health Sciences, Università del Piemonte Orientale UPO, 28100 Novara, Italy.
  • Abreu H; Center for Translational Research on Autoimmune and Allergic Diseases, Department of Health Sciences, Università del Piemonte Orientale UPO, 28100 Novara, Italy.
  • Manfredi M; Interdisciplinary Research Center of Autoimmune Diseases, Department of Health Sciences, Università del Piemonte Orientale UPO, 28100 Novara, Italy.
  • Cappellano G; Biological Mass Spectrometry Laboratory, Department of Translational Medicine, Università del Piemonte Orientale UPO, 28100 Novara, Italy.
  • Chiocchetti A; Center for Translational Research on Autoimmune and Allergic Diseases, Department of Health Sciences, Università del Piemonte Orientale UPO, 28100 Novara, Italy.
  • Rimondini L; Interdisciplinary Research Center of Autoimmune Diseases, Department of Health Sciences, Università del Piemonte Orientale UPO, 28100 Novara, Italy.
Int J Mol Sci ; 25(6)2024 Mar 21.
Article em En | MEDLINE | ID: mdl-38542533
ABSTRACT
Proteomic analysis of extracellular vesicles presents several challenges due to the unique nature of these small membrane-bound structures. Alternative analyses could reveal outcomes hidden from standard statistics to explore and develop potential new biological hypotheses that may have been overlooked during the initial evaluation of the data. An analysis sequence focusing on deviating protein expressions from donors' primary cells was performed, leveraging machine-learning techniques to analyze small datasets, and it has been applied to evaluate extracellular vesicles' protein content gathered from mesenchymal stem cells cultured on bioactive glass discs doped or not with metal ions. The goal was to provide additional opportunities for detecting details between experimental conditions that are not entirely revealed with classic statistical inference, offering further insights regarding the experimental design and assisting the researchers in interpreting the outcomes. The methodology extracted a set of EV-related proteins whose differences between conditions could be partially explainable with statistics, suggesting the presence of other factors involved in the bioactive glasses' interactions with tissues. Outlier identification of extracellular vesicles' protein expression levels related to biomaterial preparation was instrumental in improving the interpretation of the experimental outcomes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Células-Tronco Mesenquimais / Vesículas Extracelulares Idioma: En Revista: Int J Mol Sci Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Células-Tronco Mesenquimais / Vesículas Extracelulares Idioma: En Revista: Int J Mol Sci Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Itália