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空间转录组学揭示了肉鸡 Wooden Breast 肌病发病过程中血管周巨噬细胞脂质代谢的改变。

Spatial transcriptomics reveals alterations in perivascular macrophage lipid metabolism in the onset of Wooden Breast myopathy in broiler chickens.

机构信息

Department of Animal and Food Sciences, University of Delaware, Newark, DE, USA.

出版信息

Sci Rep. 2024 Feb 11;14(1):3450. doi: 10.1038/s41598-024-53904-5.

Abstract

This study aims to use spatial transcriptomics to characterize the cell-type-specific expression profile associated with the microscopic features observed in Wooden Breast myopathy. 1 cm muscle sample was dissected from the cranial part of the right pectoralis major muscle from three randomly sampled broiler chickens at 23 days post-hatch and processed with Visium Spatial Gene Expression kits (10X Genomics), followed by high-resolution imaging and sequencing on the Illumina Nextseq 2000 system. WB classification was based on histopathologic features identified. Sequence reads were aligned to the chicken reference genome (Galgal6) and mapped to histological images. Unsupervised K-means clustering and Seurat integrative analysis differentiated histologic features and their specific gene expression pattern, including lipid laden macrophages (LLM), unaffected myofibers, myositis and vasculature. In particular, LLM exhibited reprogramming of lipid metabolism with up-regulated lipid transporters and genes in peroxisome proliferator-activated receptors pathway, possibly through P. Moreover, overexpression of fatty acid binding protein 5 could enhance fatty acid uptake in adjacent veins. In myositis regions, increased expression of cathepsins may play a role in muscle homeostasis and repair by mediating lysosomal activity and apoptosis. A better knowledge of different cell-type interactions at early stages of WB is essential in developing a comprehensive understanding.

摘要

本研究旨在利用空间转录组学来描述与木鸡胸病中观察到的微观特征相关的细胞类型特异性表达谱。从孵化后 23 天的 3 只随机取样肉鸡的右胸大肌头部切取 1cm 肌肉样本,用 Visium 空间基因表达试剂盒(10X Genomics)进行处理,然后在 Illumina Nextseq 2000 系统上进行高分辨率成像和测序。WB 分类基于组织病理学特征确定。序列读取与鸡参考基因组(Galgal6)对齐,并映射到组织学图像。无监督 K-means 聚类和 Seurat 综合分析区分了组织学特征及其特定的基因表达模式,包括富含脂质的巨噬细胞(LLM)、未受影响的肌纤维、肌炎和血管。特别是,LLM 表现出脂代谢的重编程,过氧化物酶体增殖物激活受体途径中的脂质转运体和基因上调,可能通过 P 实现。此外,脂肪酸结合蛋白 5 的过表达可以增强相邻静脉中的脂肪酸摄取。在肌炎区域,组织蛋白酶的表达增加可能通过调节溶酶体活性和细胞凋亡在肌肉动态平衡和修复中发挥作用。在 WB 的早期阶段,更好地了解不同细胞类型之间的相互作用对于全面了解至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a814/10859375/1a65cb469c27/41598_2024_53904_Fig1_HTML.jpg

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