ArticleJCI insight2019
Single cell transcriptomics based-MacSpectrum reveals novel macrophage activation signatures in diseases.
Article in JCI insight, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers.
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Who cites it
111 citing papers in PubMed.
- A placental and fetal liver TGFβ signaling axis drives fetal immunosuppression in maternal obesity.iScience · 2026Article
- Review
- Insights from integrative spatial transcriptomics in sepsis-associated acute kidney injury.Nature reviews. Nephrology · 2026Review
- The cell with many faces: lung macrophage plasticity and function in response to environmental and pathogenic insults.Physiological reviews · 2026Review
- 5'tRNA-derived fragments modulate β-cell homeostasis and islet macrophage activation in type 2 diabetes.Nature communications · 2026Article
- mInternational journal of molecular medicine · 2026Review
- Lipid-dependent accrual of a subset of monocyte-derived macrophages is essential for tissue regeneration.Nature metabolism · 2026Article
- Thrombospondin 1 and 2 regulate mesenchymal progenitor cell fate and matrix organization.Bone research · 2026Article
- Immunometabolism in obesity: Understanding the beneficial and detrimental roles of inflammation.PLoS biology · 2026Article
- Case Report: dynamic monocyte reprogramming during ALSS therapy in type B HBV-ACLF revealed by single-cell transcriptomics.Frontiers in immunology · 2026Article
- Melanoma stem cells drive macrophage reprogramming to a hybrid phenotype, modulating melanoma stemness and compromising NK cell-mediated immunity.Frontiers in immunology · 2026Article
- Engineering nanoparticles for macrophage reprogramming in chronic inflammatory diseases: current advances, challenges, and future perspectives.Frontiers in bioengineering and biotechnology · 2026Review
- Drug-resistant tuberculosis and pulmonary co-infections in immunocompromised patients: from multi-omics to precision therapy.Frontiers in microbiology · 2026Review
- A streamlined and comprehensive protocol for the generation and multi-omic analysis of human monocyte-derived macrophages.BMC biotechnology · 2025Article
- Nicheformer: a foundation model for single-cell and spatial omics.Nature methods · 2025Article
- LILRB4 regulates circadian disruption-induced mammary tumorigenesis via non-canonical WNT signaling pathway.Oncogene · 2025Article
- Exploring Functionally Enhanced BLP-Trained Macrophage Subpopulations in S. Aureus Infection: Underlying Mechanisms and Therapeutic Significance.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Developmental stage-dependent transcriptomic responses to neonatal intraventricular hemorrhage.Journal of neuroinflammation · 2025Article
- Multi-cellular phenotypic dynamics during the progression of an immunocompetent breast cancer model.iScience · 2025Article
- Spatial-reprogramming derived GPNMBGenome medicine · 2025Article
51 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors.
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Abstract
Adipose tissue macrophages (ATM) are crucial for maintaining adipose tissue homeostasis and mediating obesity-induced metabolic abnormalities, including prediabetic conditions and type 2 diabetes mellitus. Despite their key functions in regulating adipose tissue metabolic and immunologic homeostasis under normal and obese conditions, a high-resolution transcriptome annotation system that can capture ATM multifaceted activation profiles has not yet been developed. This is primarily attributed to the complexity of their differentiation/activation process in adipose tissue and their diverse activation profiles in response to microenvironmental cues. Although the concept of multifaceted macrophage action is well-accepted, no current model precisely depicts their dynamically regulated in vivo features. To address this knowledge gap, we generated single-cell transcriptome data from primary bone marrow-derived macrophages under polarizing and non-polarizing conditions to develop new high-resolution algorithms. The outcome was creation of a two-index platform, MacSpectrum (https://macspectrum.uconn.edu), that enables comprehensive high-resolution mapping of macrophage activation states from diverse mixed cell populations. MacSpectrum captured dynamic transitions of macrophage subpopulations under both in vitro and in vivo conditions. Importantly, MacSpectrum revealed unique "signature" gene sets in ATMs and circulating monocytes that displayed significant correlation with BMI and homeostasis model assessment of insulin resistance (HOMA-IR) in obese human patients. Thus, MacSpectrum provides unprecedented resolution to decode macrophage heterogeneity and will open new areas of clinical translation.
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