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
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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sample_derivation_process
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disease
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self_reported_ethnicity
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GRCh3825339 cells
Preview
Mapping the transcriptional landscape of human white and brown adipogenesis using single-nuclei RNA-seq
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
sample_uuid
tissue_ontology_term_id
development_stage_ontology_term_id
sample_derivation_process
growth_medium
tissue_type
suspension_derivation_process
suspension_uuid
suspension_type
library_uuid
assay_ontology_term_id
library_starting_quantity
cell_type_ontology_term_id
author_cell_type
disease_ontology_term_id
sex_ontology_term_id
harvest_day
differentiation_status
cell_type
assay
disease
organism
sex
tissue
self_reported_ethnicity
development_stage
GRCh387594 cells
Preview
Mapping the transcriptional landscape of human white and brown adipogenesis using single-nuclei RNA-seq

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