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健康人类志愿者腿部肌肉转录组图谱揭示了与肌肉位置相关的分子和细胞特征。

A transcriptome atlas of leg muscles from healthy human volunteers reveals molecular and cellular signatures associated with muscle location.

机构信息

Department of Human Genetics, Leiden University Medical Center, Leiden, Netherlands.

Division of Cell and Chemical Biology, Leiden University Medical Center, Leiden, Netherlands.

出版信息

Elife. 2023 Feb 6;12:e80500. doi: 10.7554/eLife.80500.

Abstract

Skeletal muscles support the stability and mobility of the skeleton but differ in biomechanical properties and physiological functions. The intrinsic factors that regulate muscle-specific characteristics are poorly understood. To study these, we constructed a large atlas of RNA-seq profiles from six leg muscles and two locations from one muscle, using biopsies from 20 healthy young males. We identified differential expression patterns and cellular composition across the seven tissues using three bioinformatics approaches confirmed by large-scale newly developed quantitative immune-histology procedures. With all three procedures, the muscle samples clustered into three groups congruent with their anatomical location. Concomitant with genes marking oxidative metabolism, genes marking fast- or slow-twitch myofibers differed between the three groups. The groups of muscles with higher expression of slow-twitch genes were enriched in endothelial cells and showed higher capillary content. In addition, expression profiles of Homeobox () transcription factors differed between the three groups and were confirmed by spatial RNA hybridization. We created an open-source graphical interface to explore and visualize the leg muscle atlas (https://tabbassidaloii.shinyapps.io/muscleAtlasShinyApp/). Our study reveals the molecular specialization of human leg muscles, and provides a novel resource to study muscle-specific molecular features, which could be linked with (patho)physiological processes.

摘要

骨骼肌支持骨骼的稳定性和活动性,但在生物力学特性和生理功能上有所不同。调节肌肉特异性特征的内在因素还了解甚少。为了研究这些因素,我们使用 20 名健康年轻男性的活检样本,从 6 条腿部肌肉和 1 条肌肉的 2 个部位构建了一个大型 RNA-seq 图谱的大型图谱。我们使用三种生物信息学方法,通过新开发的大规模定量免疫组织学程序进行了验证,确定了七个组织中的差异表达模式和细胞组成。使用所有三种方法,肌肉样本根据其解剖位置聚类为三组。与标记氧化代谢的基因一致,标记快肌或慢肌纤维的基因在三组之间存在差异。具有较高慢肌基因表达的肌肉群富含内皮细胞,并表现出更高的毛细血管含量。此外,三组之间 Homeobox ()转录因子的表达谱不同,并通过空间 RNA 杂交得到证实。我们创建了一个开源图形界面来探索和可视化腿部肌肉图谱 (https://tabbassidaloii.shinyapps.io/muscleAtlasShinyApp/)。我们的研究揭示了人类腿部肌肉的分子特异性,并提供了一个研究肌肉特异性分子特征的新资源,这些特征可能与(病理)生理过程有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0705/9988256/6e514cfeaf8e/elife-80500-fig1.jpg

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