Multidimensional Single-Nuclei RNA-Seq Reconstruction of Adipose Tissue Reveals Adipocyte Plasticity Underlying Thermogenic Response

Adipose tissue has been classified based on its morphology and function as white, brown, or beige/brite. It plays an essential role as a regulator of systemic metabolism through paracrine and endocrine signals. Recently, multiple adipocyte subtypes have been revealed using RNA sequencing technology,...

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Main Authors: Carlos Alberto Oliveira Biagi, Sarah Santiloni Cury, Cleidson Pádua Alves, Nabil Rabhi, Wilson Araujo Silva, Stephen R. Farmer, Robson Francisco Carvalho, Miguel Luiz Batista
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Cells
Subjects:
Online Access:https://www.mdpi.com/2073-4409/10/11/3073
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author Carlos Alberto Oliveira Biagi
Sarah Santiloni Cury
Cleidson Pádua Alves
Nabil Rabhi
Wilson Araujo Silva
Stephen R. Farmer
Robson Francisco Carvalho
Miguel Luiz Batista
author_facet Carlos Alberto Oliveira Biagi
Sarah Santiloni Cury
Cleidson Pádua Alves
Nabil Rabhi
Wilson Araujo Silva
Stephen R. Farmer
Robson Francisco Carvalho
Miguel Luiz Batista
author_sort Carlos Alberto Oliveira Biagi
collection DOAJ
description Adipose tissue has been classified based on its morphology and function as white, brown, or beige/brite. It plays an essential role as a regulator of systemic metabolism through paracrine and endocrine signals. Recently, multiple adipocyte subtypes have been revealed using RNA sequencing technology, going beyond simply defined morphology but also by their cellular origin, adaptation to metabolic stress, and plasticity. Here, we performed an in-depth analysis of publicly available single-nuclei RNAseq from adipose tissue and utilized a workflow template to characterize adipocyte plasticity, heterogeneity, and secretome profiles. The reanalyzed dataset led to the identification of different subtypes of adipocytes including three subpopulations of thermogenic adipocytes, and provided a characterization of distinct transcriptional profiles along the adipocyte trajectory under thermogenic challenges. This study provides a useful resource for further investigations regarding mechanisms related to adipocyte plasticity and trans-differentiation.
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spelling doaj.art-76db3ac020a8415991ac6da302fcb0de2023-11-22T22:50:54ZengMDPI AGCells2073-44092021-11-011011307310.3390/cells10113073Multidimensional Single-Nuclei RNA-Seq Reconstruction of Adipose Tissue Reveals Adipocyte Plasticity Underlying Thermogenic ResponseCarlos Alberto Oliveira Biagi0Sarah Santiloni Cury1Cleidson Pádua Alves2Nabil Rabhi3Wilson Araujo Silva4Stephen R. Farmer5Robson Francisco Carvalho6Miguel Luiz Batista7Department of Genetics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto 14051-140, BrazilDepartment of Structural and Functional Biology, Institute of Biosciences, São Paulo State University (UNESP), Botucatu 18618-689, BrazilDepartment of Translational Genomics, Medical Faculty, University of Cologne, 50923 Cologne, GermanyDepartment of Biochemistry, School of Medicine, Boston University, Boston, MA 02215, USADepartment of Genetics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto 14051-140, BrazilDepartment of Biochemistry, School of Medicine, Boston University, Boston, MA 02215, USADepartment of Structural and Functional Biology, Institute of Biosciences, São Paulo State University (UNESP), Botucatu 18618-689, BrazilDepartment of Biochemistry, School of Medicine, Boston University, Boston, MA 02215, USAAdipose tissue has been classified based on its morphology and function as white, brown, or beige/brite. It plays an essential role as a regulator of systemic metabolism through paracrine and endocrine signals. Recently, multiple adipocyte subtypes have been revealed using RNA sequencing technology, going beyond simply defined morphology but also by their cellular origin, adaptation to metabolic stress, and plasticity. Here, we performed an in-depth analysis of publicly available single-nuclei RNAseq from adipose tissue and utilized a workflow template to characterize adipocyte plasticity, heterogeneity, and secretome profiles. The reanalyzed dataset led to the identification of different subtypes of adipocytes including three subpopulations of thermogenic adipocytes, and provided a characterization of distinct transcriptional profiles along the adipocyte trajectory under thermogenic challenges. This study provides a useful resource for further investigations regarding mechanisms related to adipocyte plasticity and trans-differentiation.https://www.mdpi.com/2073-4409/10/11/3073mature adipocyte plasticityadipocyte subpopulationscellular compartment predictiontranscriptional factorsthermogenic treatment
spellingShingle Carlos Alberto Oliveira Biagi
Sarah Santiloni Cury
Cleidson Pádua Alves
Nabil Rabhi
Wilson Araujo Silva
Stephen R. Farmer
Robson Francisco Carvalho
Miguel Luiz Batista
Multidimensional Single-Nuclei RNA-Seq Reconstruction of Adipose Tissue Reveals Adipocyte Plasticity Underlying Thermogenic Response
Cells
mature adipocyte plasticity
adipocyte subpopulations
cellular compartment prediction
transcriptional factors
thermogenic treatment
title Multidimensional Single-Nuclei RNA-Seq Reconstruction of Adipose Tissue Reveals Adipocyte Plasticity Underlying Thermogenic Response
title_full Multidimensional Single-Nuclei RNA-Seq Reconstruction of Adipose Tissue Reveals Adipocyte Plasticity Underlying Thermogenic Response
title_fullStr Multidimensional Single-Nuclei RNA-Seq Reconstruction of Adipose Tissue Reveals Adipocyte Plasticity Underlying Thermogenic Response
title_full_unstemmed Multidimensional Single-Nuclei RNA-Seq Reconstruction of Adipose Tissue Reveals Adipocyte Plasticity Underlying Thermogenic Response
title_short Multidimensional Single-Nuclei RNA-Seq Reconstruction of Adipose Tissue Reveals Adipocyte Plasticity Underlying Thermogenic Response
title_sort multidimensional single nuclei rna seq reconstruction of adipose tissue reveals adipocyte plasticity underlying thermogenic response
topic mature adipocyte plasticity
adipocyte subpopulations
cellular compartment prediction
transcriptional factors
thermogenic treatment
url https://www.mdpi.com/2073-4409/10/11/3073
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