Proteomics-based network analysis characterizes biological processes and pathways activated by preconditioned mesenchymal stem cells in cardiac repair mechanisms

Article ID	Journal	Published Year	Pages	File Type
5508120	Biochimica et Biophysica Acta (BBA) - General Subjects	2017	37 Pages	PDF

Abstract

Our findings prompt the use of proteomics-based network analysis to optimize new approaches preventing the post-ischemic proteomic remodeling that may underlie the limited self-repair ability of adult heart.

Keywords

PPI network Hsp DEP HbR DCI MudPIT MSCs SPC CTRL FDR DAVE PBS ASPC MS/MS Myocardial infarction MRI Sus scrofa left ventricle Linear discriminant analysis LDA Magnetic resonance imaging Stem cells Tandem mass spectra Mass spectrometry Non-redundant Multidimensional protein identification technology LAD false discovery rate Proteomics Differentially expressed proteins left anterior descending coronary artery UnT

Related Topics

Life Sciences Biochemistry, Genetics and Molecular Biology Biochemistry

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Proteomics-based network analysis characterizes biological processes and pathways activated by preconditioned mesenchymal stem cells in cardiac repair mechanisms

Authors

Dario Di Silvestre, Francesca Brambilla, Giovanni Scardoni, Pietro Brunetti, Sara Motta, Marco Matteucci, Carlo Laudanna, Fabio A. Recchia, Vincenzo Lionetti, Pierluigi Mauri,