ReviewJournal of obesity & metabolic syndrome2025
Spatial Transcriptomics of Adipose Tissue: Technologies, Applications, and Challenges.
Review in Journal of obesity & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Understanding adipocyte heterogeneity across species, depot, and disease.Biochemical Society transactions · 2026Review
- The Serpin Superfamily in Adipose Tissue Remodeling: Molecular Drivers of Immune-Metabolic Crosstalk and Insulin Sensitivity.Biology · 2026Review
- Adipogenesis Under Leptin Control: Mechanisms and Model-Specific Effects.International journal of molecular sciences · 2026Review
- Proteomic signatures of adipocyte recruitment in breast cancer.Endocrine-related cancer · 2026Article
- Adipocytes as Orchestrators of Multimodal Cancer Therapy Resistance.Biomolecules & therapeutics · 2026Review
- Cross-Generational Integration of Exercise and Nutritional Encoding in Offspring Adipose Genomics.International journal of molecular sciences · 2026Review
- Adipose-Tissue Macrophage Diversity and Functions.International journal of molecular sciences · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.