Mapping the transcriptional landscape of human white and brown adipogenesis using single-nuclei RNA-seq
Anushka Gupta, Vissarion Efthymiou, Sean D. Kodani, Farnaz Shamsi, Mary Elizabeth Patti, Yu-Hua Tseng, Aaron Streets
Abstract
Adipogenesis is key to maintaining organism-wide energy balance and healthy metabolic phenotype, making it critical to thoroughly comprehend its molecular regulation in humans. By single-nuclei RNA-sequencing (snRNA-seq) of over 20,000 differentiating white and brown preadipocytes, we constructed a high-resolution temporal transcriptional landscape of human white and brown adipogenesis. White and brown preadipocytes were isolated from a single individual's neck region, thereby eliminating inter-subject variability across two distinct lineages. These preadipocytes were also immortalized to allow for controlled, in vitro differentiation, allowing sampling of distinct cellular states across the spectrum of adipogenic progression. Pseudotemporal cellular ordering revealed the dynamics of ECM remodeling during early adipogenesis, and lipogenic/thermogenic response during late white/brown adipogenesis. Comparison with adipogenic regulation in murine models Identified several novel transcription factors as potential targets for adipogenic/thermogenic drivers in humans. Among these novel candidates, we explored the role of TRPS1 in adipocyte differentiation and showed that its knockdown impairs white adipogenesis in vitro. Key adipogenic and lipogenic markers revealed in our analysis were applied to analyze publicly available scRNA-seq datasets; these confirmed unique cell maturation features in recently discovered murine preadipocytes, and revealed inhibition of adipogenic expansion in humans with obesity. Overall, our study presents a comprehensive molecular description of both white and brown adipogenesis in humans and provides an important resource for future studies of adipose tissue development and function in both health and metabolic disease state.
Datasets
1. Differentiating white preadipocytes (cell culture)
Metadata
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Cell Ranger count v3.1.021891 cells Cell Ranger count v3.0.23448 cells NCBITaxon:960625339 cells 19ac7ecc-3afb-47cc-801e-16a25f75b7fc9322 cells 37222137-f514-43a6-8386-0cdfd0bdc6055759 cells d46c6800-45e0-4c64-9907-c11a034147fe4011 cells c38a8e44-e2e3-4ab0-8d51-818b8ec7554a3448 cells 9e991372-be4e-46ad-9103-472ab7faea812799 cells HsapDv:000015025339 cells dissociation,cell culturing25339 cells DMEM, 10% FBS, P/S, 0.5uM insulin, 2nM 3,3′,5-Triiodo-L-thyronine, 33uM biotin, 17uM pantothenate, 0.1uM dexamethasone, 500uM isobutyl methylxanthine, 30uM indomethacin25339 cells mechanical dissociation,centrifugation,detergent solubilization19092 cells detergent solubilization,centrifugation6247 cells e3b690fc-adff-4a4b-913d-f58e013bf11c9322 cells 236d9c46-c082-478b-a9a1-133163b4bbaa5759 cells c21b7c8e-4cb1-432f-86ab-9f5f85ee0d274011 cells bde9a9ad-ab6d-43e3-a27b-2b92c5a36e573448 cells 0c2400c3-aa8a-46d9-b135-511cc33f5f592799 cells 98048306-7b32-483f-ac57-16573336f86d9322 cells 04ab0b85-0ede-4780-bd64-4bfcd4c2ecdc5759 cells 9044a014-c8d7-4b38-954b-60e7cec67bd84011 cells dc346b80-36b8-42dc-a265-5efd5b89d5c63448 cells e1f6102e-f7b9-4050-a741-9ea83c9e60e62799 cells 1000 nuclei/μl25339 cells differentiating16562 cells undifferentiated3688 cells white adipocyte5089 cells 56-year-old human stage25339 cells 2. Differentiating brown preadipocytes (cell culture)
Metadata
mapped_reference_assembly
mapped_reference_annotation
alignment_software
donor_id
self_reported_ethnicity_ontology_term_id
donor_living_at_sample_collection
organism_ontology_term_id
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cell_type_ontology_term_id
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sex_ontology_term_id
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cell_type
assay
disease
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sex
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self_reported_ethnicity
development_stage
Cell Ranger count v3.1.07594 cells 51457033-35e7-4d28-9167-76c4b60521192231 cells 0820b85d-18f3-4058-b544-c37db09e0c771919 cells 9061328c-5153-4a2d-80fc-a6bbeb83aa1b1789 cells 3e53b552-acd0-4bd6-835c-92ac3ff3bbde1058 cells 566e0461-f051-4b7e-994f-e06b2417304f597 cells dissociation,cell culturing7594 cells DMEM, 10% FBS, P/S, 0.5uM insulin, 2nM 3,3′,5-Triiodo-L-thyronine, 33uM biotin, 17uM pantothenate, 0.1uM dexamethasone, 500uM isobutyl methylxanthine, 30uM indomethacin7594 cells mechanical dissociation,centrifugation,detergent solubilization4617 cells detergent solubilization,centrifugation2977 cells cb4d3698-fb5e-4abc-bcc4-5dce25fa8c502231 cells 3ebcb44f-8933-4619-9022-6c61dd72da401919 cells 822e502c-299c-4e29-9d77-40acbf06d71e1789 cells ef743172-746c-4b09-bbb1-7a173eb0667e1058 cells aa713271-1c00-4211-8d9b-217ee2564eb1597 cells d8a72f52-6f5b-4d22-a65e-8a0543b365c02231 cells 5284f4a7-1ca6-4504-a869-3bf9089867ca1919 cells aae2cec9-3db5-4094-936e-02331a9c5dcb1789 cells 45c43dd2-74c1-4f82-9b04-74c576c3674e1058 cells eea1b4cf-9f4f-49ec-8036-a677c943bb0c597 cells differentiating4625 cells undifferentiated1102 cells brown preadipocyte5727 cells brown adipocyte1867 cells brown preadipocyte7594 cells 56-year-old human stage7594 cells Analyze this study
Source data
https://cellxgene.cziscience.com/collections/b1912131-de29-4f13-b528-164b45d69cfd
Alias names
phs002461, PMID37286033, PMC10338377
Cite this study
Gupta, A., Efthymiou, V., Kodani, S.D., Shamsi, F., Patti, M.E., Tseng, Y.H. and Streets, A., 2023. Mapping the transcriptional landscape of human white and brown adipogenesis using single-nuclei RNA-seq. Molecular Metabolism, 74, p.101746. https://doi.org/10.1016/j.molmet.2023.101746