Suppr超能文献

人类骨骼肌的单细胞转录组图谱。

Single-cell transcriptional profiles in human skeletal muscle.

机构信息

Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA.

Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, New York, 10029, USA.

出版信息

Sci Rep. 2020 Jan 14;10(1):229. doi: 10.1038/s41598-019-57110-6.

Abstract

Skeletal muscle is a heterogeneous tissue comprised of muscle fiber and mononuclear cell types that, in addition to movement, influences immunity, metabolism and cognition. We investigated the gene expression patterns of skeletal muscle cells using RNA-seq of subtype-pooled single human muscle fibers and single cell RNA-seq of mononuclear cells from human vastus lateralis, mouse quadriceps, and mouse diaphragm. We identified 11 human skeletal muscle mononuclear cell types, including two fibro-adipogenic progenitor (FAP) cell subtypes. The human FBN1+ FAP cell subtype is novel and a corresponding FBN1+ FAP cell type was also found in single cell RNA-seq analysis in mouse. Transcriptome exercise studies using bulk tissue analysis do not resolve changes in individual cell-type proportion or gene expression. The cell-type gene signatures provide the means to use computational methods to identify cell-type level changes in bulk studies. As an example, we analyzed public transcriptome data from an exercise training study and revealed significant changes in specific mononuclear cell-type proportions related to age, sex, acute exercise and training. Our single-cell expression map of skeletal muscle cell types will further the understanding of the diverse effects of exercise and the pathophysiology of muscle disease.

摘要

骨骼肌是一种异质性组织,由肌纤维和单核细胞类型组成,除了运动外,还影响免疫、代谢和认知。我们使用 RNA-seq 对亚群混合的单个人类肌肉纤维和人类股外侧、小鼠四头肌和小鼠膈肌的单核细胞进行单细胞 RNA-seq 研究,以研究骨骼肌细胞的基因表达模式。我们鉴定了 11 种人类骨骼肌单核细胞类型,包括两种成纤维脂肪祖细胞(FAP)细胞亚型。人类 FBN1+ FAP 细胞亚型是新颖的,在小鼠单细胞 RNA-seq 分析中也发现了相应的 FBN1+ FAP 细胞类型。使用批量组织分析的转录组运动研究不能解决单个细胞类型比例或基因表达的变化。细胞类型基因特征为使用计算方法识别批量研究中的细胞类型水平变化提供了手段。例如,我们分析了来自运动训练研究的公共转录组数据,揭示了与年龄、性别、急性运动和训练相关的特定单核细胞类型比例的显著变化。我们骨骼肌细胞类型的单细胞表达图谱将进一步了解运动的多种影响和肌肉疾病的病理生理学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4baa/6959232/283cbb6faf5b/41598_2019_57110_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验