Literature DB >> 33934358

Single-cell transcriptomes reveal characteristic features of cell types within the human adrenal microenvironment.

Lin Huang1,2,3,4,5, Jinling Liao2,3,4,5, Yang Chen1,2,3,4,5, Chunlin Zou6, Haiying Zhang3,4,5, Xiaobo Yang3,4,5, Qinyun Zhang3,4,5, Tianyu Li1,2, Linjian Mo1,2, Yanyu Zeng3,4,5, Mengying Bao3,4,5, Fangxing Zhang3,4,5, Yu Ye3,4,5, Zhanbin Yang1,2, Jiwen Cheng1,2,3,4,5, Zengnan Mo1,2,3,4,5.   

Abstract

Various cells within the adrenal microenvironment are important in maintaining the body homeostasis. However, our understanding of adrenal disease pathogenesis is limited by an incomplete molecular characterization of the cell types responsible for the organ's multiple homeostatic functions. We report a cellular landscape of the human adrenal gland using single-cell RNA sequencing. We reveal characteristic features of cell types within the human adrenal microenvironment and found immune activation of nonimmune cells in the adrenal endothelial cells. We also reveal that abundant immune cells occupied a lot of space in adrenal gland. Additionally, Sex-related diversity in the adrenocortical cells and different gene expression profiles between the left and right adrenal gland are also observed at single-cell resolution. Together, at single-cell resolution, the transcriptomic map presents a comprehensive view of the human adrenal gland, which serves as a fundamental baseline description of this organ and paves a way for the further studies of adrenal diseases.
© 2021 Wiley Periodicals LLC.

Entities:  

Keywords:  adrenal gland; adrenal microenvironment; cellular characteristic; scRNA-seq

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Year:  2021        PMID: 33934358     DOI: 10.1002/jcp.30398

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  1 in total

1.  Characterization of Aldosterone-producing Cell Cluster (APCC) at Single-cell Resolution.

Authors:  Norifusa Iwahashi; Hironobu Umakoshi; Tsugio Seki; Celso E Gomez-Sanchez; Kuniaki Mukai; Makoto Suematsu; Yuta Umezawa; Mototsugu Oya; Takeo Kosaka; Masahide Seki; Yutaka Suzuki; Yutaka Horiuchi; Yoshihiro Ogawa; Koshiro Nishimoto
Journal:  J Clin Endocrinol Metab       Date:  2022-08-18       Impact factor: 6.134

  1 in total

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