Dataset Information

Expression data from dexamethsone-treated human adipose stem cells

ABSTRACT: In this study we aimed to gain further insight on the role of GCs in adipocyte differentiation. For the future drugability of candidate targets it is of utmost importance to find factors relevant to human biology. Thus, we analyzed the transcriptome of GC induced primary human adipose stem cells (hASC) to identify novel factors downstream of GC action We used microarrays to detail the global programme of gene expression following glucocorticoid treatment and identified distinct classes of up- and downregulated genes during this process.

ORGANISM(S): Homo sapiens

PROVIDER: GSE41683 | GEO | 2013/06/12

SECONDARY ACCESSION(S): PRJNA177900

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Background: Obesity is characterized as a disease that directly affects the whole-body metabolism and is associated with excess fat mass and several related comorbidities. Dynamics of the adipocyte hypertrophy and hyperplasia play an important role in health and disease, especially in obesity. Human adipose-derived stem cells (hASC) represent an important source for understanding the entire adipogenic differentiation process. However, little is known about the triggering step of adipogenesis in hASC. Here, we performed a proteogenomic approach for understanding the protein abundance alterations expression changes during the initiation of the adipogenic differentiation process. Methods: hASC were isolated from adipose tissue from three donors, characterized and expanded. Cells were cultured for 24 hours in adipogenic differentiation medium followed to protein extraction. We used shotgun proteomics to compare the proteomic profile of 24h-adipogenic differentiated and undifferentiated hASC. Besides, we used our previously next-generation sequencing data (RNA-seq) from the total and polysomal mRNA fractions of hASC to study post-transcriptional regulation during the initial steps of adipogenesis. Results: We identified a total of 3,.420 proteins out of and 48,.336 peptides, being 92 exclusively identified proteins in the undifferentiated hASC and 53 exclusive proteins in 24h-differentiated cells. Using a stringent criterion, we identified 33 differentially abundant proteins when compare 24h-differentiated versus undifferentiated hASC (14 upregulated and 19 downregulated, respectively). Among the upregulated proteins, we shortlist identified several adipogenic-related proteins. Combined analysis of the proteome and the transcriptome allowed the identification of positive correlation coefficients between proteins and mRNAs. Conclusions: These results demonstrate a specific proteome profile related to adipogenesis at the very beginning (24h) of the differentiation process in hASC, which represents an important piece for a better understanding of human adipogenesis and obesity. In addition, the adipogenic differentiation is fine-tuning regulated at transcriptional, post-transcriptional and post-translational levels.

Project description:Background: Glucocorticoids (GCs) are widely used anti-inflammatory drugs. While useful in clinical practice, patients taking GCs often suffer from skeletal side effects including growth retardation and decreased bone quality in adults. On a physiological level, GCs have been implicated in the regulation of chondrogenesis and osteoblast differentiation, as well as maintaining homeostasis in cartilage and bone. We identified the glucocorticoid receptor (GR) as a potential regulator of chondrocyte hypertrophy in a microarray screen of primary limb bud mesenchyme micromass cultures. Some targets of GC regulation in chondrogenesis are known, but the global effects of pharmacological GC doses on chondrocyte gene expression have not been comprehensively evaluated. Results: This study systematically identifies a spectrum of GC target genes in embryonic growth plate chondrocytes treated with synthetic GR agonist, dexamethasone (DEX), at 6 and 24 hrs. Conventional analysis of this data set and gene set enrichment analysis (GSEA) was performed. Transcripts associated with metabolism were enriched in the DEX condition along with extracellular matrix genes. In contrast, a subset of growth factors and cytokines were negatively correlated with DEX treatment. Comparing DEX-induced gene expression data to developmental changes in gene expression in micromass cultures revealed an additional layer of complexity in which DEX maintains the expression of certain chondrocyte marker genes while inhibiting factors that promote vascularization and ultimately ossification of the cartilaginous template. Conclusions: Together, these results provide insight into the mechanisms and major molecular classes functioning downstream of DEX in primary chondrocytes monolayers. In addition, comparison of our data with microarray studies of DEX treatment in other cell types demonstrated that the majority of DEX effects are tissue-specific. This study provides novel insights into the effects of pharmacological GC on chondrocyte gene transcription and establishes the basis for subsequent functional studies. Keywords: Time course and pharmacological treatment

Dataset Information

Expression data from dexamethsone-treated human adipose stem cells

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets