Suppr超能文献

在受感染肺部直接观察细菌转录本,揭示了……的时空环境适应性。 (原文句子不完整)

Direct visualization of bacterial transcripts in the infected lung illuminates spatiotemporal environmental adaptation of .

作者信息

Lawrence Anna-Lisa E, Tan Shumin

机构信息

Department of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, Massachusetts 02111, USA.

出版信息

bioRxiv. 2025 Aug 25:2025.08.25.672169. doi: 10.1101/2025.08.25.672169.

Abstract

Spatiotemporal environmental variation results in marked heterogeneity in bacterial infection progression and disease outcome, with vital consequences for treatment success. For the globally important pathogen (Mtb), while the pronounced intra-host spatial heterogeneity in lesion immune cell composition and phenotype has been well-described, the highly complex Mtb cell envelope has presented a particular challenge for the required equivalent insight into bacterial heterogeneity. Here, we develop hybridization chain reaction-fluorescence hybridization (HCR-FISH)-based methodology for Mtb mRNA visualization in the context of intact lung and lesion architecture. In combination with a Mtb transcriptional/translational activity reporter, we reveal spatiotemporal differences in gene expression relating to Mtb lipid metabolism, response to key environmental signals, and the ESX-1 type VII secretion system. Our results establish a framework for situ analysis of Mtb mRNA, opening the path to elucidating critical bacterial drivers that underlie the marked heterogeneity in Mtb-host interactions.

摘要

时空环境变化导致细菌感染进程和疾病结果出现显著的异质性,这对治疗成功与否至关重要。对于全球重要的病原体结核分枝杆菌(Mtb),虽然病灶免疫细胞组成和表型在宿主内明显的空间异质性已得到充分描述,但高度复杂的Mtb细胞包膜对深入了解细菌异质性构成了特殊挑战。在此,我们开发了基于杂交链式反应-荧光原位杂交(HCR-FISH)的方法,用于在完整的肺和病灶结构背景下可视化Mtb mRNA。结合Mtb转录/翻译活性报告基因,我们揭示了与Mtb脂质代谢、对关键环境信号的反应以及ESX-1 VII型分泌系统相关的基因表达的时空差异。我们的结果建立了一个用于原位分析Mtb mRNA的框架,为阐明Mtb-宿主相互作用中显著异质性背后的关键细菌驱动因素开辟了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f16f/12407809/74f89d205e37/nihpp-2025.08.25.672169v1-f0001.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