Dissecting human adipose tissue heterogeneity using single-cell omics technologies.


Journal

Stem cell research & therapy
ISSN: 1757-6512
Titre abrégé: Stem Cell Res Ther
Pays: England
ID NLM: 101527581

Informations de publication

Date de publication:
27 Sep 2024
Historique:
received: 04 07 2024
accepted: 09 09 2024
medline: 28 9 2024
pubmed: 28 9 2024
entrez: 28 9 2024
Statut: epublish

Résumé

Single-cell omics technologies that profile genes (genomic and epigenomic) and determine the abundance of mRNA (transcriptomic), protein (proteomic and secretomic), lipids (lipidomic), and extracellular matrix (matrisomic) support the dissection of adipose tissue heterogeneity at unprecedented resolution in a temporally and spatially defined manner. In particular, cell omics technologies may provide innovative biomarkers for the identification of rare specific progenitor cell subpopulations, assess transcriptional and proteomic changes affecting cell proliferation and immunomodulatory potential, and accurately define the lineage hierarchy and differentiation status of progenitor cells. Unraveling adipose tissue complexity may also provide for the precise assessment of a dysfunctional state, which has been associated with cancer, as cancer-associated adipocytes play an important role in shaping the tumor microenvironment supporting tumor progression and metastasis, obesity, metabolic syndrome, and type 2 diabetes mellitus. The information collected by single-cell omics has relevant implications for regenerative medicine because adipose tissue is an accessible source of multipotent cells; alternative cell-free approaches, including the use of adipose tissue stromal cell-conditioned medium, extracellular vesicles, or decellularized extracellular matrix, are clinically valid options. Subcutaneous white adipose tissue, which is generally harvested via liposuction, is highly heterogeneous because of intrinsic biological variability and extrinsic inconsistencies in the harvesting and processing procedures. The current limited understanding of adipose tissue heterogeneity impinges on the definition of quality standards appropriate for clinical translation, which requires consistency and uniformity of the administered product. We review the methods used for dissecting adipose tissue heterogeneity and provide an overview of advances in omics technology that may contribute to the exploration of heterogeneity and dynamics of adipose tissue at the single-cell level.

Identifiants

pubmed: 39334440
doi: 10.1186/s13287-024-03931-w
pii: 10.1186/s13287-024-03931-w
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

322

Informations de copyright

© 2024. The Author(s).

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Auteurs

Giuliana Di Rocco (G)

Unit of Cellular Networks and Molecular Therapeutic Targets, IRCCS Regina Elena National Cancer Institute, 00144, Rome, Italy.

Angelo Trivisonno (A)

Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168, Rome, Italy.

Giovanni Trivisonno (G)

School of Medicine, University of Rome Campus Biomedico, 00128, Rome, Italy.

Gabriele Toietta (G)

Tumor Immunology and Immunotherapy Unit, IRCCS Regina Elena National Cancer Institute, Via E. Chianesi, 53, 00144, Rome, Italy. gabriele.toietta@ifo.it.

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