Bibliographic Details
| Title: |
White Adipose Tissue Heterogeneity in the Single-Cell Era: From Mice and Humans to Cattle |
| Authors: |
Hunter Ford, Qianglin Liu, Xing Fu, Clarissa Strieder-Barboza |
| Source: |
Biology, Vol 12, Iss 10, p 1289 (2023) |
| Publisher Information: |
MDPI AG, 2023. |
| Publication Year: |
2023 |
| Collection: |
LCC:Biology (General) |
| Subject Terms: |
adipose, single-cell, sequencing, cattle, livestock, transcriptional diversity, Biology (General), QH301-705.5 |
| More Details: |
Adipose tissue is a major modulator of metabolic function by regulating energy storage and by acting as an endocrine organ through the secretion of adipokines. With the advantage of next-generation sequencing-based single-cell technologies, adipose tissue has been studied at single-cell resolution, thus providing unbiased insight into its molecular composition. Recent single-cell RNA sequencing studies in human and mouse models have dissected the transcriptional cellular heterogeneity of subcutaneous (SAT), visceral (VAT), and intramuscular (IMAT) white adipose tissue depots and revealed unique populations of adipose tissue progenitor cells, mature adipocytes, immune cell, vascular cells, and mesothelial cells that play direct roles on adipose tissue function and the development of metabolic disorders. In livestock species, especially in bovine, significant gaps of knowledge remain in elucidating the roles of adipose tissue cell types and depots on driving the pathogenesis of metabolic disorders and the distinct fat deposition in VAT, SAT, and IMAT in meat animals. This review summarizes the current knowledge on the transcriptional and functional cellular diversity of white adipose tissue revealed by single-cell approaches and highlights the depot-specific function of adipose tissue in different mammalian species, with a particular focus on recent findings and future implications in cattle. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2079-7737 |
| Relation: |
https://www.mdpi.com/2079-7737/12/10/1289; https://doaj.org/toc/2079-7737 |
| DOI: |
10.3390/biology12101289 |
| Access URL: |
https://doaj.org/article/4b257f1ecedb484f9dff365756432d81 |
| Accession Number: |
edsdoj.4b257f1ecedb484f9dff365756432d81 |
| Database: |
Directory of Open Access Journals |
