Met Visualization
Met Visualization - Related Videos
09:38
Establishing Dual Resistance to EGFR-TKI and MET-TKI in Lung Adenocarcinoma Cells In Vitro with a 2-step Dose-escalation Procedure
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Cited by 4 •
2017
An in vitro method for establishing dual resistance to an EGFR-TKI and a MET-TKI in cancer cells is described. This method is useful for developing treatments for patients with EGFR-mutations, who exhibit disease progression despite EGFR-TKI treatment with MET-amplification. It can also be modified for inhibitors targeting other molecules.
09:44
Methods to Test Visual Attention Online
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Cited by 26 •
2015
To replicate laboratory settings, online data collection methods for visual tasks require tight control over stimulus presentation. We outline methods for the use of a web application to collect performance data on two tests of visual attention.
03:37
Visualization of Extracellular Traps in Macrophages from Human Bronchoalveolar Lavage Fluids
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2025
This video demonstrates the immunolabeling of macrophage extracellular traps, METs, in bronchoalveolar macrophages from bronchoalveolar lavage fluid, and their visualization using a confocal microscope.
04:31
In Vitro Stimulation and Visualization of Macrophage Extracellular Traps
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2025
This video demonstrates in vitro stimulation of macrophage extracellular traps (METs) in human monocyte-derive macrophages using different inflammatory stimuli such as TNF-alpha, PMA, and HOCL. The video also demonstrates the method of SYTOX dye staining of METs for visualization.
05:07
Using Looming Visual Stimuli to Evaluate Mouse Vision
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Cited by 12 •
2019
To examine mouse vision, we conducted a looming test. Mice were placed in a large square arena with a monitor on its ceiling. The looming visual stimulus consistently evoked freezing or flight reactions in the mice.
FAQs
Reliable interpretation of MET visualization depends on more than detecting extracellular DNA. Fluorescence microscopy pairs a DNA stain with immunolabeling for macrophage or trap-associated components, allowing investigators to assess whether web-like material contains the expected cellular signals. This combined evidence helps separate MET-associated structures from intact macrophages and from extracellular DNA produced by nonspecific cell death.
Microbial or inflammatory signals can lead macrophages to expel decondensed chromatin coated with cellular proteins. This response changes nuclear material into extracellular networks that can capture or restrict pathogens, linking macrophage activation to a physical antimicrobial function. The same process may also contribute to inflammation and tissue injury, making the stimulus and resulting structures important to compare.
DNA staining reveals extracellular material, but it does not by itself establish that the material represents a macrophage-derived trap. Immunolabeling adds cellular identity by detecting macrophage or trap-associated components within the structures. Using both signals gives investigators a stronger basis for distinguishing organized extracellular networks from intact cells or nonspecific material released during cell death.
A typical workflow combines fluorescence microscopy with DNA staining and immunolabeling. The DNA signal reveals the extracellular chromatin-based structures, while antibodies or other labels identify macrophage or trap-associated components. Examining these signals together supports characterization of the observed networks and helps investigators evaluate whether they correspond to trap formation rather than unrelated extracellular debris.
MET visualization enables investigators to compare the occurrence and appearance of macrophage trap formation across infection models. By examining DNA-containing networks together with macrophage or trap-associated markers, researchers can relate structural findings to microbial challenge and macrophage activation. These comparisons help clarify how extracellular trapping participates in host-pathogen interactions and innate immune defense.
In immunology and infection research, MET visualization can reveal how macrophages respond to microbial or inflammatory stimulation, whether extracellular networks may restrict pathogens, and how trap formation relates to host-pathogen interactions. It also supports evaluation of possible inflammatory consequences, including contributions to tissue injury, so the method connects cellular imaging with both protective and damaging immune outcomes.