ArticleiScience2022
Single cell full-length transcriptome of human subcutaneous adipose tissue reveals unique and heterogeneous cell populations.
Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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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.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.
- Towards a consensus atlas of human and mouse adipose tissue at single-cell resolution.Nature metabolism · 2025Guideline
- Understanding adipocyte heterogeneity across species, depot, and disease.Biochemical Society transactions · 2026Review
- Impaired adipogenesis and lipid storage capacity in subcutaneous adipose tissue of patients with PMOS.JCI insight · 2026Article
- A standardized protocol for autologous stromal vascular fraction therapy in refractory thin endometrium and a prospective single-arm clinical study.Stem cell research & therapy · 2026Article
- Multi-omic responses to acute exercise in abdominal subcutaneous adipose tissue of sedentary adults: findings from MoTrPAC.bioRxiv : the preprint server for biology · 2026Article
- Heterogeneity and Clinical Relevance of Human Adipose Stromal and Progenitor Cells.Diabetes & metabolism journal · 2026Review
- A full-length single nuclei transcriptomic atlas of human skeletal muscle insulin resistance.bioRxiv : the preprint server for biology · 2026Article
- Exploring Adipose Tissue Complexity Through Omics Approaches: Implications for Health and Disease.Cells · 2026Review
- Nanometer-Precision Tracking of Adipocyte Dynamics via Single Lipid Droplet Whispering-Gallery Optical Resonances.ACS sensors · 2026Article
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- Spatial Transcriptomics of Adipose Tissue: Technologies, Applications, and Challenges.Journal of obesity & metabolic syndrome · 2025Review
- Defining the vascular niche of human adipose tissue across metabolic states.bioRxiv : the preprint server for biology · 2025Article
- Depot-dependent effects of subclinical ketosis on visceral and subcutaneous adipose tissue transcriptional cellular diversity in dairy cows.Journal of animal science and biotechnology · 2025Article
- Unraveling the complexities of diet induced obesity and glucolipid dysfunction in metabolic syndrome.Diabetology & metabolic syndrome · 2025Review
- Paradigms, innovations, and biological applications of RNA velocity: a comprehensive review.Briefings in bioinformatics · 2025Review
- Variant-to-function approaches for adipose tissue: Insights into cardiometabolic disorders.Cell genomics · 2025Review
- Obesity, white adipose tissue and cancer.The FEBS journal · 2025Review
- Psychological stress increases skin infection through the action of TGFβ to suppress immune-acting fibroblasts.Science immunology · 2025Article
- Pericytes Promote More Vascularization than Stromal Cells via an Interleukin-6-Dependent Mechanism in Microfluidic Chips.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
White adipose tissue (WAT) is a complex mixture of adipocytes and non-adipogenic cells. Characterizing the cellular composition of WAT is critical for identifying where potential alterations occur that impact metabolism. Most single-cell (sc) RNA-Seq studies focused on the stromal vascular fraction (SVF) which does not contain adipocytes and have used technology that has a 3' or 5' bias. Using full-length sc/single-nuclei (sn) RNA-Seq technology, we interrogated the transcriptional composition of WAT using: snRNA-Seq of whole tissue, snRNA-Seq of isolated adipocytes, and scRNA-Seq of SVF. Whole WAT snRNA-Seq provided coverage of major cell types, identified three distinct adipocyte clusters, and was capable of tracking adipocyte differentiation with pseudotime. Compared to WAT, adipocyte snRNA-Seq was unable to match adipocyte heterogeneity. SVF scRNA-Seq provided greater resolution of non-adipogenic cells. These findings provide critical evidence for the utility of sc full-length transcriptomics in WAT and SVF in humans.
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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.