Single-nuclear RNA sequencing reveals the distinct cellular composition and gene expression characteristics of human adrenocortical adenoma
10.3969/j.issn.1009-8291.2024.10.016
- VernacularTitle:单细胞核测序揭示人肾上腺皮质腺瘤细胞组成及其基因表达谱特征
- Author:
Zhu WANG
1
,
2
;
Qiong DENG
1
,
2
;
Jianwen ZHANG
1
;
Yulin LAI
1
;
Dihao DENG
1
;
Hui LIANG
1
Author Information
1. Department of Urology, The People's Hospital of Longhua District, Shenzhen 518110, China
2. Central Laboratory, The People's Hospital of Longhua District, Shenzhen 518110, China
- Publication Type:Journal Article
- Keywords:
single nuclear RNA sequencing;
adrenocortical adenoma;
adrenal gland;
gene expression;
bioinformatics
- From:
Journal of Modern Urology
2024;29(10):916-922
- CountryChina
- Language:Chinese
-
Abstract:
[Objective] To explore the cellular composition and gene expression characteristics of adrenocortical adenoma (ACA) based on single-nuclear RNA sequencing. [Methods] The postoperative resection samples of 2 ACA cases treated at our hospital during Jul.and Aug.2022 were collected.The cellular composition was isolated and identified with single-nuclear RNA sequencing, the adrenal cortical subgroups were subdivided with specific cortical cell subgroup markers, and the characteristic gene expression profile was studied. [Results] The main components of ACA were adrenal cortical cells (78.62%), endothelial cells (1.91%), fibroblasts (3.09%), macrophages (14.34%), and T cells (2.05%). Subdivision of cortical cells revealed a group of undefined cells (1.08%), in addition to zona glomerulosa (ZG) cells (1.77%), zona fasciculata (ZF) cells (94.98%), and zona reticularis (ZR) cells (2.17%). These undefined cells were characterized by high expression of intercellular adhesion molecule 1, growth arrest and DNA damage inducing proteins β, tumor necrosis factor α inducing protein 3 and CD36 molecules.According to correlation analysis of the gene expression, these undefined cells were similar to the ZF cells.DEGs enrichment analysis indicated that the metabolic process enrichment index was the highest in biological processes.Reactome GO enrichment analysis revealed that the immune system cytokine signaling response was the most significant.KEGG signaling pathway analysis showed that Th17 cell differentiation pathway was the mostly enriched.DEGs were found to be most closely related to viral infection by DO enrichment analysis. [Conclusion] This study reveals for the first time the gene expression profile characteristics of cell subset in ACA, which can provide reference to explore the mechanism of ACA.
