Proteomic Analysis of Mesenchymal Stromal Cells Secretome in Comparison to Leukocyte- and Platelet-Rich Fibrin.

Int J Mol Sci

Center for Translational Oral Research (TOR), Department of Clinical Dentistry, Faculty of Medicine, University of Bergen, 5009 Bergen, Norway.

Published: August 2023

Secretomes of mesenchymal stromal cells (MSCs) are emerging as a novel growth factor (GF)-based strategy for periodontal and bone regeneration. The objective of this study was to compare the secretome of human bone marrow MSC (BMSC) to that of leukocyte- and platelet-rich fibrin (L-PRF), an established GF-based therapy, in the context of wound healing and regeneration. Conditioned media from human BMSCs (BMSC-CM) and L-PRF (LPRF-CM) were subjected to quantitative proteomic analysis using liquid chromatography with tandem mass spectrometry. Global profiles, gene ontology (GO) categories, differentially expressed proteins (DEPs), and gene set enrichment (GSEA) were identified using bioinformatic methods. Concentrations of selected proteins were determined using a multiplex immunoassay. Among the proteins identified in BMSC-CM (2157 proteins) and LPRF-CM (1420 proteins), 1283 proteins were common. GO analysis revealed similarities between the groups in terms of biological processes (cellular organization, protein metabolism) and molecular functions (cellular/protein-binding). Notably, more DEPs were identified in BMSC-CM ( = 550) compared to LPRF-CM ( = 118); these included several key GF, cytokines, and extracellular matrix (ECM) proteins involved in wound healing. GSEA revealed enrichment of ECM (especially bone ECM)-related processes in BMSC-CM and immune-related processes in LPRF-CM. Similar trends for intergroup differences in protein detection were observed in the multiplex analysis. Thus, the secretome of BMSC is enriched for proteins/processes relevant for periodontal and bone regeneration. The in vivo efficacy of this therapy should be evaluated in future studies.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10487446PMC
http://dx.doi.org/10.3390/ijms241713057DOI Listing

Publication Analysis

Top Keywords

proteomic analysis
8
mesenchymal stromal
8
stromal cells
8
leukocyte- platelet-rich
8
platelet-rich fibrin
8
periodontal bone
8
bone regeneration
8
wound healing
8
identified bmsc-cm
8
proteins
7

Similar Publications

[New methods at the transition from research to routine diagnostics].

Pathologie (Heidelb)

January 2025

Institut für Pathologie, Fachbereich Thorax- und Molekularpathologie, Universitätsmedizin Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Deutschland.

Background: Pathology, traditionally focused on classification and diagnosis, is continuously evolving through new technologies. Advances in proteomics, epigenetics, tissue staining, and 3D imaging expand the possibilities of classical morphology.

Aim Of The Study: The aim of this study was to investigate how modern technologies can improve diagnostic accuracy and therapy selection and how they can be integrated into pathologic routine diagnostics.

View Article and Find Full Text PDF

Impacts of hnRNP A1 Splicing Inhibition on the Brain Remyelination Proteome.

J Neurochem

January 2025

Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, Brazil.

Oligodendrocytes, the myelinating cells in the central nervous system, are implicated in several neurological disorders marked by dysfunctional RNA-binding proteins (RBPs). The present study aimed at investigating the role of hnRNP A1 in the proteome of the corpus callosum, prefrontal cortex, and hippocampus of a murine cuprizone-induced demyelination model. Right after the cuprizone insult, we administered an hnRNP A1 splicing activity inhibitor and analyzed its impact on brain remyelination by nanoESI-LC-MS/MS label-free proteomic analysis to assess the biological processes affected in these brain regions.

View Article and Find Full Text PDF

Single Cell-Pair Proteomics for Decoding Immune-Cancer Cell Interactions.

Adv Sci (Weinh)

January 2025

Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou, 310058, China.

The efficacy of cancer immunotherapy is significantly influenced by the heterogeneity of individual tumors and immune responses. To investigate this phenomenon, a microfluidic platform is constructed for profiling immune-cancer cell interactions at the single-cell proteomics level for the first time. Based on the platform, a comprehensive workflow is proposed for achieving accurate single-cell pairing of an immune cell and a cancer cell with low cell damage and high success rate up to 95%, cell pair co-culture, and real-time microscopic monitoring of the cell-pair interactions, cell pair retrieval, mass spectrometry-based proteomic analysis of singe cell pairs, and decoupling of the proteomic information for each cell within the cell pair with the stable-isotope labeling method.

View Article and Find Full Text PDF

WDR74-Mediated Ribosome Biogenesis and Proteome Dynamics During Mouse Preimplantation Development.

Genes Cells

January 2025

Advanced Biological Information Research Division, INAMORI Frontier Research Center, Kyushu University, Fukuoka, Japan.

Preimplantation embryonic development is orchestrated by dynamic changes in the proteome and transcriptome, regulated by mechanisms such as maternal-to-zygotic transition. Here, we employed label-free quantitative proteomics to comprehensively analyze proteome dynamics from germinal vesicle oocytes to blastocysts in mouse embryos. We identified 3490 proteins, including 715 consistently detected across all stages, revealing stage-specific changes in proteins associated with translation, protein modification, and mitochondrial metabolism.

View Article and Find Full Text PDF

Introduction: Accurate post-mortem interval (PMI) estimation is essential in forensic investigations. Although various methods for PMI determination have been developed, only an approximate estimation is still achievable, and an accurate PMI indication is still challenging. Therefore, in this study, we employed gas chromatography-mass spectrometry (GC-MS)-based metabolomics to assess post-mortem changes in porcine blood samples collected with and without the addition of anticoagulant (EDTA).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!