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Spatial transcriptomics reveals the microstructure and insulin response of adipocytes

 Last Update: 2021-08-29
 Source: Internet
 Author: User

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Scientists at Karolinska Institute in Sweden used a combination of spatially resolved transcriptomics analysis, single-cell RNA sequencing and image analysis to identify new microstructural nuances in human white adipose tissue, and the inherent differences of this difference Until now, it is not clear

They identified 18 different types of fat cells (adipocytes), which have a unique tendency to form different types of clusters in white adipose tissue

Spatial mapping of white adipose tissue under human skin, detecting 18 cell types [Backdahl et al.

Niklas Mejhert, a researcher at the Harding School of Medicine of Karolinska Institutet, said: "These findings increase our understanding of the function of adipose tissue

Researchers examined how different types of fat cells in white adipose tissue respond to transient increases in insulin levels to assess whether fat cell types have different functions

"Our findings challenge the current view of insulin resistance, that is, fat cells generally decrease in response to insulin," said Dr.

Mikael Rydén, Ph.

Dr.

"The uniqueness of this research is that it is the first time we have applied spatial transcriptomics to adipose tissue, which has a special set of characteristics and composition," Stähl said

This study provides other novel insights into adipose tissue

Further research is needed to determine whether the different precursor cells identified by the authors contribute to the heterogeneity of the structure and function of mature adipocytes

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