Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1785118154884644864 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10562561 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT budeusbettina comparativecomputationalanalysistodistinguishmesenchymalstemcellsfromfibroblasts AT ungerkristian comparativecomputationalanalysistodistinguishmesenchymalstemcellsfromfibroblasts AT hessjulia comparativecomputationalanalysistodistinguishmesenchymalstemcellsfromfibroblasts AT sentekhanna comparativecomputationalanalysistodistinguishmesenchymalstemcellsfromfibroblasts AT kleindiana comparativecomputationalanalysistodistinguishmesenchymalstemcellsfromfibroblasts |