Non-Invasive Single-Cell Morphometry and Tracking in Living Bacterial Biofilms

活细菌生物膜的非侵入性单细胞形态测定和追踪

• 批准号: 10653010
• 负责人: Andreas Gahlmann
• 金额: $ 30.07万
• 依托单位: UNIVERSITY OF VIRGINIA
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-25 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10653010
• 关键词: 3-Dimensional; Address; Algorithms; Antibiotics; Architecture; Bacteria; Bacterial Infections; Behavior; Biochemical; Biological; Biology; Calibration; Cell Shape; Cells; Cessation of life; Chemicals; Communities; Computer Models; Computer software; Crowding; Development; Disinfection; Environment; Epidemic; Escherichia coli; Eukaryotic Cell; Exhibits; Gene Activation; Gene Expression; Genetic Transcription; Geometry; Growth; Health; Hospitals; Human; Human Microbiome; Image; Immersion; Immune system; Individual; Industrialization; Knowledge; Life Style; Light; Linear Programming; Machine Learning; Mathematics; Measurement; Measures; Microbial Biofilms; Microscope; Microscopy; Myxococcus xanthus; Nosocomial Infections; Optics; Pathogenicity; Phenotype; Physiology; Population; Positioning Attribute; Property; Reading; Reporter; Reporter Genes; Research; Research Personnel; Resolution; Shapes; Shigella flexneri; Social Behavior; Specimen; Sum; Surface; System; Techniques; Technology; Testing; Thick; Time; Tissues; United States; Validation; Water; antibiotic tolerance; bacterial community; behavioral phenotyping; cell behavior; cell dimension; cell type; cellular imaging; coping; environmental stressor; fluorescence imaging; gene regulatory network; high resolution imaging; human pathogen; image processing; imaging modality; imaging platform; lens; live cell imaging; mechanical signal; meter; microbial; microbial community; model design; morphometry; new technology; pathogenic bacteria; prevent; public health relevance; seal; social; stressor; supervised learning; temporal measurement

Project Summary/Abstract Biofilms are cohesive, multicellular microbial communities that are able to adhere to biotic or abiotic surfaces. The human microbiome contains numerous biofilm-forming bacterial species that help maintain normal human physiology. On the other hand, more than half of the 1.7 million hospital-acquired infections in the US are caused by biofilm-forming bacterial pathogens. The biofilm lifestyle is advantageous, because phenotypic diversity and coordination of cellular behaviors within biofilms provide bacterial populations with emergent capabilities beyond those of individual cells. For example, biofilms are orders of magnitude more tolerant towards physical, chemical, and biological stressors, most notably long-term treatments with antibiotic drugs or clearance attempts by the immune system. However, it remains largely unknown how such remarkable capabilities emerge from the behaviors of individual cells and the interactions between them. A critical barrier to rapid progress is the inability of conventional microscopes to resolve micrometer-sized bacterial cells in thick (>10 micrometers) biofilms in a non-invasive manner. The proposed research addresses this challenge by developing integrated experimental and computational technologies that enable non-invasive, 3D fluorescence imaging of pathogenic biofilms by lattice-light sheet microscopy, accurate single-cell segmentation and 3D shape measurements based on the acquired images, and simultaneous 3D tracking of thousands of cells inside biofilms. The ability to make single- cell measurements in dense microbial populations will enable researchers to correlate the spatial trajectory of each cell with that cells’ gene expression and behavioral phenotype. Such information will provide an integrated understanding of how bacteria coordinate gene expression and social behaviors in 3D space and time. A fundamental understanding of biofilm biology will help inform new strategies for harnessing the emergent functional capabilities of microbial populations and for removing pathogenic biofilms from undesired environments.

项目总结/摘要 生物膜是能够粘附于生物或非生物表面的粘性多细胞微生物群落。 人体微生物组包含许多生物膜形成细菌物种，有助于维持正常的人体健康。 physiology.另一方面，在美国170万医院获得性感染中， 由生物膜形成细菌病原体。生物膜生活方式是有利的，因为表型多样性和 生物膜内细胞行为的协调为细菌种群提供了超越 单个细胞。例如，生物膜对物理，化学， 和生物应激源，最明显的是抗生素药物的长期治疗或 免疫系统然而，在很大程度上仍然不清楚这种非凡的能力是如何从 单个细胞的行为以及它们之间的相互作用。快速发展的一个关键障碍是 传统的显微镜，以解决微米大小的细菌细胞在厚（>10微米）的生物膜中， 非侵入性方式。拟议的研究通过开发综合实验来应对这一挑战。 和计算技术，使非侵入性，3D荧光成像的病原生物膜， 点阵光片显微镜，精确的单细胞分割和基于 获取图像，并同时对生物膜内的数千个细胞进行3D跟踪。有能力让一个- 密集微生物种群中的细胞测量将使研究人员能够将微生物种群的空间轨迹与微生物种群的空间轨迹相关联。 每个细胞都有其基因表达和行为表型。这些信息将提供一个综合的 了解细菌如何在3D空间和时间中协调基因表达和社会行为。一 对生物膜生物学的基本理解将有助于为利用新出现的 微生物种群的功能能力和用于从不期望的微生物中去除病原性生物膜 环境.