Spatial Transcriptomics of Adipose Tissue: Technologies, Applications, and Challenges

Adipose tissue is a complex metabolic and endocrine organ that plays a central role in systemic energy homeostasis. While single-cell and single-nucleus RNA sequencing have revealed remarkable cellular heterogeneity within adipose tissue depots, these approaches lack spatial context, limiting the ability to understand how cellular organization and microenvironmental cues shape adipose tissue biology. Spatial transcriptomics (ST) has emerged as a powerful technology to overcome this barrier by allowing one to map gene expression directly within intact tissue sections. Recent advances in ST platforms now permit analysis at a high resolution, enabling interrogation of adipocyte subpopulations, stromal progenitors, immune cell infiltration, and tissue remodeling. In this review, we provide an overview of current ST technologies, computational strategies for analysis, and recent applications for understanding adipose tissue biology. We further highlight key opportunities for ST to address unanswered questions surrounding adipogenic niches, depot-specific remodeling, and immune cell interactions. Together, these advances position ST as a transformative tool for dissecting the architecture and function of adipose tissue in health and metabolic disease.

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Publication Details

Journal
Journal of Obesity & Metabolic Syndrome
Published
2025-10-16
DOI
https://doi.org/10.7570/jomes25078
Citations
2
Primary Topic
Molecular Biology Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.61

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article

Spatial Transcriptomics of Adipose Tissue: Technologies, Applications, and Challenges

Elizabeth A. Rondini, James G. Granneman, A. K. Keesling
2 citations
Journal of Obesity & Metabolic Syndrome
Molecular Biology Techniques and Applications
1.61
article

Spatial Transcriptomics of Adipose Tissue: Technologies, Applications, and Challenges

Elizabeth A. Rondini, James G. Granneman, A. K. Keesling
article en
2 citations

Abstract

Adipose tissue is a complex metabolic and endocrine organ that plays a central role in systemic energy homeostasis. While single-cell and single-nucleus RNA sequencing have revealed remarkable cellular heterogeneity within adipose tissue depots, these approaches lack spatial context, limiting the ability to understand how cellular organization and microenvironmental cues shape adipose tissue biology. Spatial transcriptomics (ST) has emerged as a powerful technology to overcome this barrier by allowing one to map gene expression directly within intact tissue sections. Recent advances in ST platforms now permit analysis at a high resolution, enabling interrogation of adipocyte subpopulations, stromal progenitors, immune cell infiltration, and tissue remodeling. In this review, we provide an overview of current ST technologies, computational strategies for analysis, and recent applications for understanding adipose tissue biology. We further highlight key opportunities for ST to address unanswered questions surrounding adipogenic niches, depot-specific remodeling, and immune cell interactions. Together, these advances position ST as a transformative tool for dissecting the architecture and function of adipose tissue in health and metabolic disease.

Journal of Obesity & Metabolic SyndromeVol. 34(4)
Wayne State University (US)
Wayne State University, National Institutes of Health
Openalex Percentile: Top 14%
Molecular Biology Techniques and Applications
1.61
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