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Comparative computational analysis to distinguish mesenchymal stem cells from fibroblasts

INTRODUCTION: Mesenchymal stem cells (MSCs) are considered to be the most promising stem cell type for cell-based therapies in regenerative medicine. Based on their potential to home to diseased body sites following a therapeutically application, these cells could (i) differentiate then into organ-s...

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Autores principales: Budeus, Bettina, Unger, Kristian, Hess, Julia, Sentek, Hanna, Klein, Diana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562561/
https://www.ncbi.nlm.nih.gov/pubmed/37822926
http://dx.doi.org/10.3389/fimmu.2023.1270493
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author Budeus, Bettina
Unger, Kristian
Hess, Julia
Sentek, Hanna
Klein, Diana
author_facet Budeus, Bettina
Unger, Kristian
Hess, Julia
Sentek, Hanna
Klein, Diana
author_sort Budeus, Bettina
collection PubMed
description INTRODUCTION: Mesenchymal stem cells (MSCs) are considered to be the most promising stem cell type for cell-based therapies in regenerative medicine. Based on their potential to home to diseased body sites following a therapeutically application, these cells could (i) differentiate then into organ-specific cell types to locally restore injured cells or, most prominently, (ii) foster tissue regeneration including immune modulations more indirectly by secretion of protective growth factors and cytokines. As tissue-resident stem cells of mesenchymal origin, these cells are morphologically and even molecularly- at least concerning the classical marker genes- indistinguishable from similar lineage cells, particularly fibroblasts. METHODS: Here we used microarray-based gene expression and global DNA methylation analyses as well as accompanying computational tools in order to specify differences between MSCs and fibroblasts, to further unravel potential identity genes and to highlight MSC signaling pathways with regard to their trophic and immunosuppressive action. RESULTS: We identified 1352 differentially expressed genes, of which in the MSCs there is a strong signature for e.g., KRAS signaling, known to play essential role in stemness maintenance, regulation of coagulation and complement being decisive for resolving inflammatory processes, as well as of wound healing particularly important for their regenerative capacity. Genes upregulated in fibroblasts addressed predominately transcription and biosynthetic processes and mapped morphological features of the tissue. Concerning the cellular identity, we specified the already known HOX code for MSCs, established a potential HOX code for fibroblasts, and linked certain HOX genes to functional cell-type-specific properties. Accompanied methylation profiles revealed numerous regions, especially in HOX genes, being differentially methylated, which might provide additional biomarker potential. DISCUSSION: Conclusively, transcriptomic together with epigenetic signatures can be successfully be used for the definition (cellular identity) of MSCs versus fibroblasts as well as for the determination of the superior functional properties of MSCs, such as their immunomodulatory potential.
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spelling pubmed-105625612023-10-11 Comparative computational analysis to distinguish mesenchymal stem cells from fibroblasts Budeus, Bettina Unger, Kristian Hess, Julia Sentek, Hanna Klein, Diana Front Immunol Immunology INTRODUCTION: Mesenchymal stem cells (MSCs) are considered to be the most promising stem cell type for cell-based therapies in regenerative medicine. Based on their potential to home to diseased body sites following a therapeutically application, these cells could (i) differentiate then into organ-specific cell types to locally restore injured cells or, most prominently, (ii) foster tissue regeneration including immune modulations more indirectly by secretion of protective growth factors and cytokines. As tissue-resident stem cells of mesenchymal origin, these cells are morphologically and even molecularly- at least concerning the classical marker genes- indistinguishable from similar lineage cells, particularly fibroblasts. METHODS: Here we used microarray-based gene expression and global DNA methylation analyses as well as accompanying computational tools in order to specify differences between MSCs and fibroblasts, to further unravel potential identity genes and to highlight MSC signaling pathways with regard to their trophic and immunosuppressive action. RESULTS: We identified 1352 differentially expressed genes, of which in the MSCs there is a strong signature for e.g., KRAS signaling, known to play essential role in stemness maintenance, regulation of coagulation and complement being decisive for resolving inflammatory processes, as well as of wound healing particularly important for their regenerative capacity. Genes upregulated in fibroblasts addressed predominately transcription and biosynthetic processes and mapped morphological features of the tissue. Concerning the cellular identity, we specified the already known HOX code for MSCs, established a potential HOX code for fibroblasts, and linked certain HOX genes to functional cell-type-specific properties. Accompanied methylation profiles revealed numerous regions, especially in HOX genes, being differentially methylated, which might provide additional biomarker potential. DISCUSSION: Conclusively, transcriptomic together with epigenetic signatures can be successfully be used for the definition (cellular identity) of MSCs versus fibroblasts as well as for the determination of the superior functional properties of MSCs, such as their immunomodulatory potential. Frontiers Media S.A. 2023-09-26 /pmc/articles/PMC10562561/ /pubmed/37822926 http://dx.doi.org/10.3389/fimmu.2023.1270493 Text en Copyright © 2023 Budeus, Unger, Hess, Sentek and Klein https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Budeus, Bettina
Unger, Kristian
Hess, Julia
Sentek, Hanna
Klein, Diana
Comparative computational analysis to distinguish mesenchymal stem cells from fibroblasts
title Comparative computational analysis to distinguish mesenchymal stem cells from fibroblasts
title_full Comparative computational analysis to distinguish mesenchymal stem cells from fibroblasts
title_fullStr Comparative computational analysis to distinguish mesenchymal stem cells from fibroblasts
title_full_unstemmed Comparative computational analysis to distinguish mesenchymal stem cells from fibroblasts
title_short Comparative computational analysis to distinguish mesenchymal stem cells from fibroblasts
title_sort comparative computational analysis to distinguish mesenchymal stem cells from fibroblasts
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562561/
https://www.ncbi.nlm.nih.gov/pubmed/37822926
http://dx.doi.org/10.3389/fimmu.2023.1270493
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