Transcriptional Dynamics and Key Regulators of Adipogenesis in Mouse Embryonic Stem Cells: Insights from Robust Rank Aggregation Analysis

Embryonic stem cells are crucial for studying developmental biology due to their self-renewal and pluripotency capabilities. This research investigates the differentiation of mouse ESCs into adipocytes, offering insights into obesity and metabolic disorders. Using a monolayer differentiation approach over 30 days, lipid accumulation and adipogenic markers, such as <i>Cebpb</i>, <i>Pparg</i>, and <i>Fabp4,</i> confirmed successful differentiation. RNA sequencing revealed extensive transcriptional changes, with over 15,000 differentially expressed genes linked to transcription regulation, cell cycle, and DNA repair. This study utilized Robust Rank Aggregation to identify critical regulatory genes like PPARG, CEBPA, and EP300. Network analysis further highlighted <i>Atf5</i>, <i>Ccnd1</i>, and <i>Nr4a1</i> as potential key players in adipogenesis and its mature state, validated through RT-PCR. While key adipogenic factors showed plateaued expression levels, suggesting early differentiation events, this study underscores the value of ESCs in modeling adipogenesis. These findings contribute to our understanding of adipocyte differentiation and have significant implications for therapeutic strategies targeting metabolic diseases.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2024-08-23
DOI
https://doi.org/10.3390/ijms25179154
Citations
1
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
0.23

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article

Transcriptional Dynamics and Key Regulators of Adipogenesis in Mouse Embryonic Stem Cells: Insights from Robust Rank Aggregation Analysis

Mohamed Al‐Sayegh, M. Khalili, Mehar Sultana, Mouza Alzaabi
1 citations
International Journal of Molecular Sciences
RNA Research and Splicing
0.23
article

Transcriptional Dynamics and Key Regulators of Adipogenesis in Mouse Embryonic Stem Cells: Insights from Robust Rank Aggregation Analysis

Mohamed Al‐Sayegh, M. Khalili, Mehar Sultana, Mouza Alzaabi
article en
1 citations

Abstract

Embryonic stem cells are crucial for studying developmental biology due to their self-renewal and pluripotency capabilities. This research investigates the differentiation of mouse ESCs into adipocytes, offering insights into obesity and metabolic disorders. Using a monolayer differentiation approach over 30 days, lipid accumulation and adipogenic markers, such as <i>Cebpb</i>, <i>Pparg</i>, and <i>Fabp4,</i> confirmed successful differentiation. RNA sequencing revealed extensive transcriptional changes, with over 15,000 differentially expressed genes linked to transcription regulation, cell cycle, and DNA repair. This study utilized Robust Rank Aggregation to identify critical regulatory genes like PPARG, CEBPA, and EP300. Network analysis further highlighted <i>Atf5</i>, <i>Ccnd1</i>, and <i>Nr4a1</i> as potential key players in adipogenesis and its mature state, validated through RT-PCR. While key adipogenic factors showed plateaued expression levels, suggesting early differentiation events, this study underscores the value of ESCs in modeling adipogenesis. These findings contribute to our understanding of adipocyte differentiation and have significant implications for therapeutic strategies targeting metabolic diseases.

International Journal of Molecular SciencesVol. 25(17)
New York University Abu Dhabi (AE)
New York University Abu Dhabi, York University
Good health and well-being
Openalex Percentile: Top 43%
RNA Research and Splicing
0.23
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Transcriptional Dynamics and Key Regulators of Adipogenesis in Mouse Embryonic Stem Cells: Insights from Robust Rank Aggregation Analysis — Mohamed Al‐Sayegh, M. Khalili, et al. · International Journal of Molecular Sciences (2024) | TGRS Research Map | TGRS