Airway Spatial Dynamics
Airway Spatial Dynamics - Related Videos
10:06
Efficient Method for Imaging Murine Lungs that Preserves Spatial Dynamics of Fungal Spores in the Airways
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Cited by 1 •
2024
We present a method for a fungal pathogenesis model that preserves the natural positioning of fungal spores in the lung airways for analysis via fluorescent microscopy.
11:52
Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
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2017
The segmentation clock drives oscillatory gene expression across the pre-somitic mesoderm (PSM). Dynamic Notch activity is key to this process. We use imaging and computational analyses to extract temporal dynamics from spatial expression data to demonstrate that Delta ligand and Notch receptor expression oscillate in the vertebrate PSM.
08:52
Spatial Molecular Imaging of the Glycome Using Mass Spectrometry
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Cited by 1 •
2025
This protocol details the key steps to enable rigorous and reproducible measurement of both glycogen and N-linked glycans using mass spectrometry imaging.
07:51
Spatial Cueing
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University Attention refers to the limited human ability to select some information for processing at the expense of other stimuli in the environment. Attention operates in all sensory modalities: vision, hearing, touch, even taste and smell. It is most often studied in the visual domain though. A common way to study visual attention is with a spatial cueing paradigm. This paradigm allows researchers to measure the consequences of focusing...
09:28
COVID-19 / Coronavirus Outbreak: Protecting The Airway - Endotracheal Intubation
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2020
In pandemic times, medical staff is becoming a key resource in fighting the infection. To achieve the best medical care, relevant techniques and procedures have to be taught to medical staff to reduce the risk of infection. COVID patients often need mechanical ventilation due to progredient respiratory insufficiency, so an endotracheal intubation becomes a critical procedure in managing these patients. This procedure has an increased risk of infection due to aerosol formation and working with...
FAQs
Airflow and mucociliary clearance continually influence where microbes, secretions, and molecular signals are found along the respiratory tract. Airflow affects movement and distribution, while clearance changes how long material remains in a region. Together, these processes create time-dependent differences in exposure and retention, helping explain why colonization or infection may not be uniform across airway tissues.
Chemokine gradients provide directional signals that guide cellular migration through distinct airway regions. Their spatial distribution can position immune cells near epithelial or pathogen populations and help local responses develop where they are needed. Mapping these gradients over time therefore links molecular signaling with tissue-level organization, offering a way to examine how immune responses arise in particular locations during infection.
Tissue architecture creates distinct airway regions in which epithelial cells, immune cells, microbes, secretions, and signals can interact differently. Those regional relationships may affect whether pathogens remain localized or spread, and they can help explain why disease severity varies between tissues. Examining architecture alongside movement and signaling provides a more informative view of infection than considering airway populations without their spatial context.
An analysis typically maps the locations and changing relationships of epithelial cells, immune cells, microbes, secretions, and molecular signals across the respiratory tract. It can consider tissue architecture, airflow, mucociliary clearance, cellular migration, and chemokine gradients as linked variables. Tracking these features over time helps researchers identify where colonization, spread, or local immune responses occur.
Spatial mapping is especially useful when researchers need to examine pathogen colonization or spread, locate developing local immune responses, or compare disease severity across tissues. It preserves the relationships among host cells, microbes, and signals across airway regions. This makes the approach relevant for investigating how airway location influences host-pathogen interactions over time.
By revealing where pathogens, immune cells, epithelial populations, and signaling molecules are positioned, spatial analysis can identify region-specific patterns associated with infection or local immune responses. These patterns may support biomarker discovery and help indicate where therapeutic targeting could be most relevant. The same information can also improve models of host-pathogen interactions by making their tissue context more representative.