Dataset Information

RNA sequencing profiles reveal dynamic signaling and glucose metabolic features during bone marrow mesenchymal stem cell senescence.

ABSTRACT:

Background

Stem cell senescence is considered as a significant driver of organismal aging. As individuals age, the number of stem cells is declined, and the ability to proliferate and survive is also weakened. It has been reported that metabolism plays an important role in stem cell self-renewal, multilineage differentiation, senescence and fate determination, which has aroused widespread concerns. However, whether metabolism-related genes or signalling pathways are involved in physiological aging remain largely undetermined.

Results

In the current study, we showed 868 up-regulated and 2006 down-regulated differentially expressed genes (DEGs) in bone marrow mesenchymal stem cells (MSCs) from old rats in comparison with that from young rats by performing RNA sequence. And DEGs functions and pathways were further selected by function enrichment analysis. The results indicated that the high expression of DEGs might participate in cell differentiation, growth factor binding and etc., while the down-regulated DEGs were majorly enriched in metabolism process, such as the cellular metabolic process and mitochondria. Then, we screened and verified DEGs related to glucose metabolism and investigated the glycolysis levels. We identified that glucose uptake, lactate secretion, ATP production and relative extracellular acidification rates (ECAR) were all diminished in MSCs from old rats. More importantly, we conducted microRNA prediction on the key DEGs of glycolysis to elucidate the potential molecular mechanisms of glucose metabolism affecting MSC senescence.

Conclusions

Our study unravelled the profiles of DEGs in age-associated MSC senescence and their functions and pathways. We also clarified DEGs related to glucose metabolism and down-regulated glycolysis level in age-associated MSC senescence. This study will uncover the metabolic effects on regulating stem cell senescence, and provide novel therapeutic targets for ameliorating age-associated phenotypes.

SUBMITTER: Sun Y

PROVIDER: S-EPMC9107734 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

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Publications

RNA sequencing profiles reveal dynamic signaling and glucose metabolic features during bone marrow mesenchymal stem cell senescence.

Sun Yanan Y Yu Xiao X Gao Xingyu X Zhang Chang C Sun Hui H Xu Kaiyi K Wei Dongxu D Wang Qianwen Q Zhang Haiying H Shi Yingai Y Li Lisha L He Xu X

Cell & bioscience 20220514 1

<h4>Background</h4>Stem cell senescence is considered as a significant driver of organismal aging. As individuals age, the number of stem cells is declined, and the ability to proliferate and survive is also weakened. It has been reported that metabolism plays an important role in stem cell self-renewal, multilineage differentiation, senescence and fate determination, which has aroused widespread concerns. However, whether metabolism-related genes or signalling pathways are involved in physiolog ...[more]

PMID: 35568915

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Project description:BackgroundBone marrow mesenchymal stem cells (BMSCs) combined with Schwann cells (SCs) represent a better therapeutic cell transplantation strategy for treating spinal cord injury (SCI) than transplantation with BMSCs or SCs alone. In previous studies, we demonstrated that BMSCs are able to differentiate in neuron-like cells when cocultured with SCs. The detailed mechanism underlying SCI repair that occurs during the combined transplantation of BMSCs and SCs has not yet been studied. In this study, we adopted an isobaric tag for relative and absolute quantitation (iTRAQ)-based protein identification/quantification approach to examine the effects of the SC and BMSC coculture process on the BMSCs and then obtained and analyzed the differentially expressed proteins (DEPs) and their possible related pathways.MethodsThis study included three groups based on the number of coculture days (i.e., 0, 3, and 7 days). Changes in BMSC protein expression levels were measured using the iTRAQ technique. A bioinformatics analysis of all the data was performed.ResultsIn total, 6,760 types of proteins were detected, corresponding to 5,181 data points with quantitative information. Of these, a total of 243 DEPs were identified, of which 169 proteins were upregulated and 74 proteins were downregulated. These DEPs were identified by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Intercellular adhesion molecule-1 (ICAM-1), integrin, and dioxygenase may play crucial roles in the repair of SCI. The data analysis indicates that the relevant biological processes may be regulated by lysosome function, cell adhesion molecules (CAMs), leukocyte transendothelial migration, and the phosphatidylinositol-3-kinase (PI3K) and peroxisome proliferator-activated receptor (PPAR) signaling pathways.ConclusionsThe data provided in this study indicate that several molecular mechanisms and signaling pathways are involved in the BMSC and SC coculture process. This information may be useful for the further identification of specific targets and related mechanisms and guide new directions for SCI treatment.

Dataset Information

RNA sequencing profiles reveal dynamic signaling and glucose metabolic features during bone marrow mesenchymal stem cell senescence.

Background

Results

Conclusions

Publications

RNA sequencing profiles reveal dynamic signaling and glucose metabolic features during bone marrow mesenchymal stem cell senescence.

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