Objective: Mesenchymal stem cells (MSCs) have been isolated from various human tissues. Although they share cardinal stem cell features of self-renewal and multi-potency, they also seem to possess distinct characteristics depending on the tissue types they originated from. When developing stem cell-based therapies, MSCs with the most desirable characteristics should be chosen. However, our knowledge on tissue type-specific characteristics of MSCs is limited. Here, we comparatively studied the gene expression profiles of MSCs from different tissue types, and predicted target diseases suitable for each type of MSCs. Methods: We harvested MSCs from human dental pulp and adipose tissue specimens and subjected them to gene expression microarray analysis. Characteristic gene expression signatures of the MSCs from each tissue type were identified using gene-annotation enrichment analysis. Results: Dental pulp-derived MSCs exhibited gene expression signatures of neuronal growth, while adipose tissue-derived MSCs exhibited signatures of angiogenesis and hair growth. MSCs from each tissue type expressed a discrete set of genes encoding secretory peptides, which may function as paracrine factors. Conclusions: MSCs derived from different tissue types demonstrated distinct gene expression signatures, which are suggestive of target diseases in clinical applications of the MSCs and stem cell-conditioned media. By expanding the analysis to MSCs from a wide range of tissue types, and by employing multiple omics approaches, a catalogue of MSCs and therapeutic targets can be generated.
Objective: Mesenchymal stem cells (MSCs) have been isolated from various human tissues. Although they share cardinal stem cell features of self-renewal and multi-potency, they also seem to possess distinct characteristics depending on the tissue types they originated from. When developing stem cell-based therapies, MSCs with the most desirable characteristics should be chosen. However, our knowledge on tissue type-specific characteristics of MSCs is limited. Here, we comparatively studied the gene expression profiles of MSCs from different tissue types, and predicted target diseases suitable for each type of MSCs. Methods: We harvested MSCs from human dental pulp and adipose tissue specimens and subjected them to gene expression microarray analysis. Characteristic gene expression signatures of the MSCs from each tissue type were identified using gene-annotation enrichment analysis. Results: Dental pulp-derived MSCs exhibited gene expression signatures of neuronal growth, while adipose tissue-derived MSCs exhibited signatures of angiogenesis and hair growth. MSCs from each tissue type expressed a discrete set of genes encoding secretory peptides, which may function as paracrine factors. Conclusions: MSCs derived from different tissue types demonstrated distinct gene expression signatures, which are suggestive of target diseases in clinical applications of the MSCs and stem cell-conditioned media. By expanding the analysis to MSCs from a wide range of tissue types, and by employing multiple omics approaches, a catalogue of MSCs and therapeutic targets can be generated.
Authors: Furkan Yigitbilek; Elif Ozdogan; Nitin Abrol; Walter D Park; Michael J Hansen; Surendra Dasari; Mark D Stegall; Timucin Taner Journal: Front Immunol Date: 2022-09-21 Impact factor: 8.786
Authors: Lusine Danielyan; Matthias Schwab; Georg Siegel; Bianca Brawek; Olga Garaschuk; Nithi Asavapanumas; Marine Buadze; Ali Lourhmati; Hans-Peter Wendel; Meltem Avci-Adali; Marcel A Krueger; Carsten Calaminus; Ulrike Naumann; Stefan Winter; Elke Schaeffeler; Annett Spogis; Sandra Beer-Hammer; Jonas J Neher; Gabriele Spohn; Anja Kretschmer; Eva-Maria Krämer-Albers; Kerstin Barth; Hong Jun Lee; Seung U Kim; William H Frey; Claus D Claussen; Dirk M Hermann; Thorsten R Doeppner; Erhard Seifried; Christoph H Gleiter; Hinnak Northoff; Richard Schäfer Journal: EBioMedicine Date: 2020-09-10 Impact factor: 8.143