Single-Cell Sequencing Reveals the Relationship between Phenotypes and Genotypes of Klinefelter Syndrome

• Published in: Cytogenetic and genome research Vol. 159; no. 2; p. 55
• Main Authors: Liu, Xiaohui, Tang, Donge, Zheng, Fengping, Xu, Yong, Guo, Hui, Zhou, Jun, Lin, Linhua, Xie, Jiansheng, Ou, Minglin, Dai, Yong
• Format: Journal Article
• Language: English
• Published: Switzerland 01.12.2019
• Subjects: Female; Gene Expression - genetics; Gene Expression - immunology; Genotype; Humans; Immune System - immunology; Infertility, Male - genetics; Infertility, Male - immunology; Klinefelter Syndrome - genetics; Klinefelter Syndrome - immunology; Leukocytes, Mononuclear - immunology; Leukocytes, Mononuclear - physiology; Male; Phenotype; Single-Cell Analysis - methods; Transcriptome - genetics; Transcriptome - immunology; Klinefelter syndrome; Single-cell sequencing; Male infertility
• DOI: 10.1159/000503737

Klinefelter syndrome (KS) is one of the most common congenital disorders of male infertility. Given its high heterogeneity in clinical and genetic presentation, the relationship between transcriptome, clinical phenotype, and associated co-morbidities seen in KS has not been fully clarified. Here, we report a 47,XXY Chinese male with infertility and analyzed the differences in gene expression patterns of peripheral blood mononuclear cells (PBMCs) with regard to a Chinese male and a female control with normal karyotype by single-cell sequencing. A total of 24,439 cells were analyzed and divided into 5 immune cell types (including B cells, T cells, macrophage cells, dendritic cells, and natural killer cells) according to marker genes. Using unsupervised dimensionality reduction and clustering algorithms, we identified molecularly distinct subpopulations of cells between the KS patient and both controls. Gene ontology enrichment analyses yielded terms associated with well-known comorbidities seen in KS as well as an affected immune system and type I diabetes mellitus. Based on our data, we identified several candidate genes which may be implicated in regulating the phenotype of KS. Overall, this analysis provides a comprehensive map of the cell types of PBMCs in a KS patient at the single-cell level, which will contribute to the prevention of comorbidity and improvement of the life quality of KS patients.