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New study maps human adipocyte development using single-cell RNA sequencing

Researchers have utilized single-cell RNA sequencing to map the developmental path of adipocytes in human adipose tissue. The study identified 15 distinct cell clusters and 7 transitional states, revealing dynamic differentiation processes. Key signaling pathways, particularly insulin-like growth factor (IGF) and fibroblast growth factor (FGF), were found to be active throughout differentiation and showed depot-specific variations, offering potential therapeutic targets for metabolic disorders. AI

IMPACT Provides a comprehensive map of human adipocyte development, identifying potential therapeutic targets for metabolic disorders.

RANK_REASON The cluster contains a scientific paper detailing a new research methodology and findings in a biological domain. [lever_c_demoted from research: ic=1 ai=0.1]

Read on arXiv cs.AI →

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New study maps human adipocyte development using single-cell RNA sequencing

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The cluster contains a scientific paper detailing a new research methodology and findings in a biological domain. [lever_c_demoted from research: ic=1 ai=0.1]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Weny S. M Sitinjak, Humasak Tommy Argo Simanjuntak ·

    Reconstructing the Developmental Trajectory of Adipocytes in Human Adipose Tissue Using Single-Cell RNA Sequencing

    arXiv:2606.27657v1 Announce Type: cross Abstract: Obesity is a global health crisis associated with metabolic disorders such as type 2 diabetes and cardiovascular disease. This study employed single-cell RNA sequencing to reconstruct the developmental trajectory of human adipocyt…