Single-nucleus RNA sequencing reveals heterogeneity among multiple white adipose tissue depots
Limin Xie, Wanyu Hu, Haowei Zhang, Yujin Ding, Qin Zeng, Xiyan Liao, Dandan Wang, Wanqin Xie, Hannah Xiaoyan Hui, Tuo Deng
Single-nucleus RNA sequencing reveals heterogeneity among multiple white adipose tissue depots
Regardless of its anatomical site, adipose tissue shares a common energy-storage role but exhibits distinctive properties. Exploring the cellular and molecular heterogeneity of white adipose tissue (WAT) is crucial for comprehending its function and properties. However, existing single-nucleus RNA sequencing (snRNA-seq) studies of adipose tissue heterogeneity have examined only one or two depots. In this study, we employed snRNA-seq to test five representative depots including inguinal, epididymal, mesenteric, perirenal, and pericardial adipose tissues in mice under physiological conditions. By analyzing the contents of main cell categories and gene profiles of various depots, we identified their distinctive physiological properties. Immune cells and fibro-adipogenic progenitor cells (FAPs) showed dramatic differences among WAT depots, while adipocytes seemed to be conserved. The heightened presence of regulatory macrophages and B cells in pericardial adipose tissues implied their potential contribution to the preservation of coronary vascular function. Moreover, the selective aggregation of pericytes within mesenteric adipose tissue was likely associated with the maintenance of intestinal barrier homeostasis. Using a combination of RNA sequencing and snRNA-seq analysis, the major subpopulations of FAPs derived from these depots determined the site characteristics of FAPs to a certain extent. Our work establishes a systematic and reliable foundation for investigating the heterogeneity of WAT depots and elucidating the unique roles these depots play in coordinating the function of adjacent organs.
white adipose tissue / adipose tissue heterogeneity / adipocyte subpopulations / snRNA-seq
[1] |
Rosen ED, Spiegelman BM. What we talk about when we talk about fat. Cell 2014;156:20–44.
CrossRef
Google scholar
|
[2] |
Speakman JR, Elmquist JK. Obesity: an evolutionary context. Life Metab 2022;1:10–24.
CrossRef
Google scholar
|
[3] |
Bluher M. Obesity: global epidemiology and pathogenesis. Nat Rev Endocrinol 2019;15:288–98.
CrossRef
Google scholar
|
[4] |
Sun M, Wan Y, Shi M et al. Neural innervation in adipose tissue, gut, pancreas, and liver. Life Metab 2023;2:load022.
CrossRef
Google scholar
|
[5] |
Zwick RK, Guerrero-Juarez CF, Horsley V et al. Anatomical, physiological, and functional diversity of adipose tissue. Cell Metab 2018;27:68–83.
CrossRef
Google scholar
|
[6] |
Tchkonia T, Thomou T, Zhu Y et al. Mechanisms and metabolic implications of regional differences among fat depots. Cell Metab 2013;17:644–56.
CrossRef
Google scholar
|
[7] |
Wei G, Sun H, Dong K et al. The thermogenic activity of adjacent adipocytes fuels the progression of ccRCC and compromises anti-tumor therapeutic efficacy. Cell Metab 2021;33:2021–39.e8.
CrossRef
Google scholar
|
[8] |
Hammoud SH, AlZaim I, Al-Dhaheri Y et al. Perirenal adipose tissue inflammation: novel insights linking metabolic dysfunction to renal diseases. Front Endocrinol (Lausanne) 2021;12:707126.
CrossRef
Google scholar
|
[9] |
Wu Y, Zhang A, Hamilton DJ et al. Epicardial fat in the maintenance of cardiovascular health. Methodist DeBakey Cardiov J 2017;13:20–4.
CrossRef
Google scholar
|
[10] |
Zhang H, Ding Y, Zeng Q et al. Characteristics of mesenteric adipose tissue attached to different intestinal segments and their roles in immune regulation. Am J Physiol Gastrointest Liver Physiol 2022;322:G310–26.
CrossRef
Google scholar
|
[11] |
Chau YY, Bandiera R, Serrels A et al. Visceral and subcutaneous fat have different origins and evidence supports a mesothelial source. Nat Cell Biol 2014;16:367–75.
CrossRef
Google scholar
|
[12] |
Rosell M, Kaforou M, Frontini A et al. Brown and white adipose tissues: intrinsic differences in gene expression and response to cold exposure in mice. Am J Physiol Endocrinol Metab 2014;306:E945–64.
CrossRef
Google scholar
|
[13] |
Corvera S. Cellular heterogeneity in adipose tissues. Annu Rev Physiol 2021;83:257–78.
CrossRef
Google scholar
|
[14] |
Ibrahim MM. Subcutaneous and visceral adipose tissue: structural and functional differences. Obes Rev 2010;11:11–8.
CrossRef
Google scholar
|
[15] |
Kralova Lesna I, Kralova A, Cejkova S et al. Characterisation and comparison of adipose tissue macrophages from human subcutaneous, visceral and perivascular adipose tissue. J Transl Med 2016;14:208.
CrossRef
Google scholar
|
[16] |
Mittal B. Subcutaneous adipose tissue & visceral adipose tissue. Indian J Med Res 2019;149:571–3.
CrossRef
Google scholar
|
[17] |
Agrawal S, Wang M, Klarqvist MDR et al. Inherited basis of visceral, abdominal subcutaneous and gluteofemoral fat depots. Nat Commun 2022;13:3771.
CrossRef
Google scholar
|
[18] |
Iacobellis G. Epicardial adipose tissue in contemporary cardiology. Nat Rev Cardiol 2022;19:593–606.
CrossRef
Google scholar
|
[19] |
Grigoraş A, Balan RA, Căruntu ID et al. Perirenal adipose tissue- current knowledge and future opportunities. J Clin Med 2021;10:1291.
CrossRef
Google scholar
|
[20] |
Ha CWY, Martin A, Sepich-Poore GD et al. Translocation of viable gut microbiota to mesenteric adipose drives formation of creeping fat in humans. Cell 2020;183:666–83.e17.
CrossRef
Google scholar
|
[21] |
Acosta JR, Joost S, Karlsson K et al. Single cell transcriptomics suggest that human adipocyte progenitor cells constitute a homogeneous cell population. Stem Cell Res Ther 2017;8:250.
CrossRef
Google scholar
|
[22] |
Hepler C, Shan B, Zhang Q et al. Identification of functionally distinct fibro-inflammatory and adipogenic stromal subpopulations in visceral adipose tissue of adult mice. eLife 2018;7:e39636.
CrossRef
Google scholar
|
[23] |
Gu W, Nowak WN, Xie Y et al. Single-cell RNA-sequencing and metabolomics analyses reveal the contribution of perivascular adipose tissue stem cells to vascular remodeling. Arterioscler Thromb Vasc Biol 2019;39:2049–66.
CrossRef
Google scholar
|
[24] |
Schwalie PC, Dong H, Zachara M et al. A stromal cell population that inhibits adipogenesis in mammalian fat depots. Nature 2018;559:103–8.
CrossRef
Google scholar
|
[25] |
Nahmgoong H, Jeon YG, Park ES et al. Distinct properties of adipose stem cell subpopulations determine fat depot-specific characteristics. Cell Metab 2022;34:458–72.e6.
CrossRef
Google scholar
|
[26] |
Chen M, Kim S, Li L et al. Identification of an adipose tissue-resident pro-preadipocyte population. Cell Rep 2023;42:112440.
CrossRef
Google scholar
|
[27] |
Jaitin DA, Adlung L, Thaiss CA et al. Lipid-associated macrophages control metabolic homeostasis in a Trem2-dependent manner. Cell 2019;178:686–98.e14.
CrossRef
Google scholar
|
[28] |
Spallanzani RG, Zemmour D, Xiao T et al. Distinct immunocyte-promoting and adipocyte-generating stromal components coordinate adipose tissue immune and metabolic tenors. Sci Immunol 2019;4:eaaw3658.
CrossRef
Google scholar
|
[29] |
Vijay J, Gauthier MF, Biswell RL et al. Single-cell analysis of human adipose tissue identifies depot and disease specific cell types. Nat Metab 2020;2:97–109.
CrossRef
Google scholar
|
[30] |
Hildreth AD, Ma F, Wong YY et al. Single-cell sequencing of human white adipose tissue identifies new cell states in health and obesity. Nat Immunol 2021;22:639–53.
CrossRef
Google scholar
|
[31] |
Sun W, Dong H, Balaz M et al. snRNA-seq reveals a subpopulation of adipocytes that regulates thermogenesis. Nature 2020;587:98–102.
CrossRef
Google scholar
|
[32] |
Sárvári AK, Van Hauwaert EL, Markussen LK et al. Plasticity of epididymal adipose tissue in response to diet-induced obesity at single-nucleus resolution. Cell Metab 2021;33:437–53.e5.
CrossRef
Google scholar
|
[33] |
Liu Q, Long Q, Zhao J et al. Cold-induced reprogramming of sub-cutaneous white adipose tissue assessed by single-cell and single-nucleus RNA sequencing. Research (Wash D C) 2023;6:0182.
CrossRef
Google scholar
|
[34] |
Emont MP, Jacobs C, Essene AL et al. A single-cell atlas of human and mouse white adipose tissue. Nature 2022;603:926–33.
CrossRef
Google scholar
|
[35] |
Moura Silva H, Kitoko JZ, Queiroz CP et al. c-MAF-dependent perivascular macrophages regulate diet-induced metabolic syndrome. Sci Immunol 2021;6:eabg7506.
CrossRef
Google scholar
|
[36] |
Dick SA, Wong A, Hamidzada H et al. Three tissue resident macrophage subsets coexist across organs with conserved origins and life cycles. Sci Immunol 2022;7:eabf7777.
CrossRef
Google scholar
|
[37] |
Thornley TB, Fang Z, Balasubramanian S et al. Fragile TIM-4-expressing tissue resident macrophages are migratory and immunoregulatory. J Clin Invest 2014;124:3443–54.
CrossRef
Google scholar
|
[38] |
Silva HM, Báfica A, Rodrigues-Luiz GF et al. Vasculatureassociated fat macrophages readily adapt to inflammatory and metabolic challenges. J Exp Med 2019;216:786–806.
CrossRef
Google scholar
|
[39] |
Mutsaers SE, Wilkosz S. Structure and function of mesothelial cells. Cancer Treat Res 2007;134:1–19.
CrossRef
Google scholar
|
[40] |
Benezech C, Luu NT, Walker JA et al. Inflammation-induced formation of fat-associated lymphoid clusters. Nat Immunol 2015;16:819–28.
CrossRef
Google scholar
|
[41] |
Jackson-Jones LH, Smith P, Portman JR et al. Stromal cells covering omental fat-associated lymphoid clusters trigger formation of neutrophil aggregates to capture peritoneal contaminants. Immunity 2020;52:700–15.e6.
CrossRef
Google scholar
|
[42] |
Cao E, Watt MJ, Nowell CJ et al. Mesenteric lymphatic dysfunction promotes insulin resistance and represents a potential treatment target in obesity. Nat Metab 2021;3:1175–88.
CrossRef
Google scholar
|
[43] |
Merrick D, Sakers A, Irgebay Z et al. Identification of a mesenchymal progenitor cell hierarchy in adipose tissue. Science 2019;364:eaav2501.
CrossRef
Google scholar
|
[44] |
Lee KY, Luong Q, Sharma R et al. Developmental and functional heterogeneity of white adipocytes within a single fat depot. EMBO J 2019;38:e99291.
CrossRef
Google scholar
|
[45] |
Berry DC, Stenesen D, Zeve D et al. The developmental origins of adipose tissue. Development 2013;140:3939–49.
CrossRef
Google scholar
|
[46] |
Mutsaers SE, Prele CM, Pengelly S et al. Mesothelial cells and peritoneal homeostasis. Fertil Steril 2016;106:1018–24.
CrossRef
Google scholar
|
[47] |
Westcott GP, Emont MP, Li J et al. Mesothelial cells are not a source of adipocytes in mice. Cell Rep 2021;36:109388.
CrossRef
Google scholar
|
[48] |
Ramirez M, Pell N, Mejias M et al. Pericytes in the gut. Adv Exp Med Biol 2019;1122:73–100.
CrossRef
Google scholar
|
[49] |
Deng T, Lyon CJ, Bergin S et al. Obesity, inflammation, and cancer. Annu Rev Pathol 2016;11:421–49.
CrossRef
Google scholar
|
[50] |
Kane H, Lynch L. Innate immune control of adipose tissue homeostasis. Trends Immunol 2019;40:857–72.
CrossRef
Google scholar
|
[51] |
Chi J, Wu Z, Choi CHJ et al. Three-dimensional adipose tissue imaging reveals regional variation in beige fat biogenesis and PRDM16-dependent sympathetic neurite density. Cell Metab 2018;27:226–36.e3.
CrossRef
Google scholar
|
[52] |
Deng T, Lyon CJ, Minze LJ et al. Class II major histocompatibility complex plays an essential role in obesity-induced adipose inflammation. Cell Metab 2013;17:411–22.
CrossRef
Google scholar
|
[53] |
Musale V, Wasserman DH, Kang L. Extracellular matrix remodelling in obesity and metabolic disorders. Life Metab 2023;2:load021.
CrossRef
Google scholar
|
[54] |
Tosti L, Hang Y, Debnath O et al. Single-nucleus and in situ RNA-sequencing reveal cell topographies in the human pancreas. Gastroenterology 2021;160:1330–44.e11.
CrossRef
Google scholar
|
[55] |
Young MD, Behjati S. SoupX removes ambient RNA contamination from droplet-based single-cell RNA sequencing data. GigaScience 2020;9:giaa151.
CrossRef
Google scholar
|
[56] |
McCarthy DJ, Campbell KR, Lun AT et al. Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R. Bioinformatics 2017;33:1179–86.
CrossRef
Google scholar
|
[57] |
McGinnis CS, Murrow LM, Gartner ZJ. DoubletFinder: doublet detection in single-cell RNA sequencing data using artificial nearest neighbors. Cell Syst 2019;8:329–37.e4.
CrossRef
Google scholar
|
[58] |
Stuart T, Butler A, Hoffman P et al. Comprehensive integration of single-cell data. Cell 2019;177:1888–902.e21.
CrossRef
Google scholar
|
[59] |
Korsunsky I, Millard N, Fan J et al. Fast, sensitive and accurate integration of single-cell data with Harmony. Nat Methods 2019;16:1289–96.
CrossRef
Google scholar
|
[60] |
Efremova M, Vento-Tormo M, Teichmann SA et al. CellPhoneDB: inferring cell-cell communication from combined expression of multi-subunit ligand-receptor complexes. Nat Protoc 2020;15:1484–506.
CrossRef
Google scholar
|
[61] |
Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods 2012;9:357–9.
CrossRef
Google scholar
|
[62] |
Li B, Dewey CN. RSEM: accurate transcript quantification from RNA-seq data with or without a reference genome. BMC Bioinformatics. 2011;12:323.
CrossRef
Google scholar
|
[63] |
Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol 2014;15:550.
CrossRef
Google scholar
|
[64] |
Yu G, Wang LG, Han Y et al. clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS J Integr Biol 2012;16:284–7.
CrossRef
Google scholar
|
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