Lamp1 Colocalization
Lamp1 Colocalization - Related Videos
11:39
Assessing Autophagic Flux by Measuring LC3, p62, and LAMP1 Co-localization Using Multispectral Imaging Flow Cytometry
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Cited by 94 •
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Here, multispectral imaging flow cytometry with an analytical feature that compares bright detail images of 3 autophagy markers and quantifies their co-localization, along with LC3 spot counting, was used to measure autophagy in an objective, quantitative, and statistically robust manner.
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Immunostaining to Visualize Viral Antigen and Host Protein Colocalization in the Insect Gut
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Source: Zhang, L., et al. Immunofluorescent Labeling of Plant Virus and Insect Vector Proteins in Hemipteran Guts. J. Vis. Exp. (2021)The video demonstrates the preparation of gut tissue from a plant virus–infected insect vector for fluorescence imaging. Fixed guts were washed, permeabilized, and incubated with two fluorescent antibodies in a blocking solution—one targeting a viral antigen in vesicles, the other a vesicle-associated membrane protein. The tissue was counterstained for actin...
05:13
Assessment of Intracellular Growth of Coxiella Mutants within Eukaryotic Cells
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This video demonstrates a method for assessing the intracellular growth of GFP-tagged Coxiella mutants within cultured epithelial cells. The mutant phenotype is visualized using immunostaining and epifluorescence microscopy, allowing the study of the effect of the mutation on intracellular growth.
07:48
Tracking Drug-induced Changes in Receptor Post-internalization Trafficking by Colocalizational Analysis
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Cited by 1 •
2015
Receptor trafficking modulates signaling and cell responsiveness to ligands and is, itself, responsive to cell conditions, including ligand-induced signaling. Here, we describe a powerful and flexible technique for quantitatively assessing drug-induced receptor trafficking using immunolabeling and colocalizational analysis.
12:58
Visualisation and Quantification of Intracellular Interactions of Neisseria meningitidis and Human α-actinin by Confocal Imaging
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2010
Neisseria meningitidis (Nm), a gram negative human-specific respiratory pathogen, can bind to human α-actinin. Here we present a protocol for visualisation of colocalisation of the bacterium with intracellular α-actinin after bacterial entry into human brain microvascular endothelial cells (HBMECs).
FAQs
Spatial overlap supports a proximity interpretation: the labeled target occupies image pixels that coincide with LAMP1 signal within the microscope’s resolution limits. It does not establish direct molecular binding or physical contact. Consequently, a high colocalization value should be reported as evidence of shared localization, not as proof of a molecular interaction.
Pearson’s correlation and Manders’ coefficients convert visual channel overlap into quantitative measurements, making comparisons between samples more systematic. These metrics address shared fluorescence signal rather than molecular identity or binding. Their value is greatest when interpreted alongside the biological question, such as whether a target is associated with lysosomal compartments or another organelle.
Channel alignment is essential because the analysis compares the position of signals from separate fluorescence images. If corresponding structures are not spatially registered, apparent overlap may reflect image offset rather than biology. Aligning the channels before calculating Pearson’s correlation or Manders’ coefficients helps ensure that measured shared signal represents the imaged sample more faithfully.
Changes in LAMP1 colocalization can be used to examine where a fluorescently labeled molecule or organelle is positioned relative to lysosomes. In autophagy studies, the pattern can support analysis of autophagosome-lysosome fusion. In trafficking or degradation research, it can help follow whether material reaches lysosome-associated compartments.
An analysis begins by obtaining fluorescence images with separate channels for LAMP1 and the comparison signal. The channels are then aligned spatially, and shared signal is quantified with a measure such as Pearson’s correlation or a Manders’ coefficient. This workflow produces a numerical basis for evaluating lysosomal association rather than relying only on visual inspection.
It is particularly useful when the question concerns autophagosome-lysosome fusion, because LAMP1 provides a lysosome-associated reference channel while the other fluorescent signal marks the comparison structure or molecule. Quantified overlap can therefore support assessment of whether the two compartments occupy the same imaged locations, while remaining subject to the method’s resolution limits.
The approach can reveal changes in lysosomal localization or in trafficking and degradation pathways during cellular stress, infection, neurodegeneration, and other disease-related processes. Its contribution is spatial: it shows how a labeled target relates to LAMP1-positive compartments. That information can help connect altered intracellular distribution with lysosomal dysfunction.
Little overlap suggests that the labeled signal is not substantially sharing LAMP1-positive locations in the captured images, whereas extensive overlap supports lysosome-associated localization within the assay’s resolution. Neither pattern alone proves absence or presence of direct interaction. Interpretation should remain tied to the measured spatial relationship and the pathway being studied.