Gfp-tagged Beta Cells
Gfp-tagged Beta Cells - Related Videos
10:41
Using a GFP-tagged TMEM184A Construct for Confirmation of Heparin Receptor Identity
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Cited by 2 •
2017
A construct encoding TMEM184A with a GFP tag at the carboxy-terminus designed for eukaryotic expression, was employed in assays designed to confirm the identification of TMEM184A as a heparin receptor in vascular cells.
09:14
Imaging Calcium Responses in GFP-tagged Neurons of Hypothalamic Mouse Brain Slices
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Cited by 5 •
2012
In this protocol, we update recent progress in imaging Ca2+ signals of GFP-tagged neurons in brain tissue slices using a red fluorescent Ca2+ indicator dye.
05:00
Monitoring the Arrival of GFP-Tagged Surface Proteins to the Trans-Golgi Network Using Functionalized Nanobodies
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2025
This video demonstrates a method to study the uptake and retrograde transport of functionalized nanobodies to understand their intracellular trafficking pathways. By introducing radiolabelled sulfate and utilizing isolation and detection techniques, this method enables the study of endocytic uptake and trans-Golgi network arrival of cargo proteins.
09:50
In situ Quantification of Pancreatic Beta-cell Mass in Mice
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Cited by 6 •
2010
The following protocol outlines the process of pancreatic dissection for virtual slice imaging, and the subsequent quantification of all GFP-tagged beta-cells in the entire pancreas.
03:44
Generation of GFP-Tagged Recombinant Respiratory Syncytial Virus Using a T7 Expression System
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2026
Source: Bouillier, C. et. al., Amplification, and Titration of Recombinant Respiratory Syncytial Viruses. J. Vis. Exp. (2019)This video demonstrates the generation of a green fluorescent protein (GFP)-expressing recombinant respiratory syncytial virus using a T7-based reverse genetics system. The co-transfection of plasmids encoding viral proteins and a GFP-tagged genome leads to protein expression and initiates virus rescue.
FAQs
Two genetic strategies can produce the fluorescent signal. A GFP gene placed under a beta-cell-specific promoter links expression to regulatory activity associated with those cells, whereas fusing GFP to a beta-cell protein links the label to production of that selected protein. This design choice determines what the fluorescence most directly marks during imaging or cell analysis.
GFP-tagged beta cells emit detectable green light only after exposure to appropriate excitation wavelengths. This optical step creates contrast between labeled cells and their surroundings, allowing investigators to locate and observe them during live-cell imaging. Consistent fluorescence detection makes it possible to monitor changes in cell presence, position, organization, or persistence over time.
Fluorescence primarily provides a way to identify and follow the engineered beta cells. It can show where cells are located and how their organization or survival changes, but the biological question may also concern development or insulin-producing function. Researchers therefore use the fluorescent signal as a tracking marker while analyzing those broader cellular outcomes separately.
A typical workflow begins by engineering pancreatic beta cells so they express GFP through a beta-cell-specific promoter or a fusion with a beta-cell protein. Investigators then expose the cells to suitable excitation wavelengths and record the resulting fluorescence. Repeated observation supports cell identification, live imaging, tracking, and assessment of changes in development, survival, or organization.
Because the same labeled cells can be recognized during observation, investigators can follow their location and persistence across a study. This supports lineage analysis, which examines cellular relationships over time, as well as studies of beta-cell development and organization. The approach helps connect visible cell behavior with changes occurring during the formation or maintenance of insulin-producing cell populations.
In diabetes research, GFP-tagged beta cells provide a visible system for testing how genetic changes, drugs, or environmental conditions affect insulin-producing cells. Researchers can monitor the labeled population while examining outcomes such as altered behavior, survival, development, organization, or function. This links experimental perturbations with changes in beta-cell biology relevant to diabetes.