Autophagic Response Measurement
Autophagic Response Measurement - Related Videos
03:45
ADI-based Autophagy Induction in Prostate Cancer Cells: An Enzyme-based Technique to Measure Autophagic Response in Cells
0 Views •
2023
In this video, we demonstrate arginine deiminase-based autophagy induction in prostate cancer cells. Further, advanced fluorescence microscopy can be used to visualize the changes associated with autophagy induction, including the formation and distribution of autophagosomes and lysosomes and their fusion into autolysosomes.
09:18
Measuring Diurnal Rhythms in Autophagic and Proteasomal Flux
0 Views •
Cited by 1 •
2019
We describe our protocol for measuring biological rhythms in protein catabolism via autophagy and the proteasome in mouse liver.
04:33
Quantifying Bulk Autophagic Sequestration Activity in Mammalian Cells
0 Views •
2025
The video demonstrates an assay for assessing bulk autophagic sequestration activity in mammalian cells. It utilizes electroporation to release cytosolic proteins, including lactate dehydrogenase (LDH). The sequestered LDH and total cellular LDH fractions are determined to assess LDH sequestration, providing insights into the overall bulk sequestration activity.
01:18
Autophagic Cell Death
0 Views •
2023
Christian de Duve discovered “autophagy,” a process in which cellular components are engulfed by membrane-bound organelles called autophagosomes. The autophagosomes then fuse with lysosomes to digest the enclosed contents. Autophagy is generally activated in cells to prevent cell death. However, cell death is triggered when the damage is beyond repair. Autophagy and Apoptosis Autophagy can activate apoptosis. In normal conditions, the autophagy activating protein Beclin-1 and pro-apoptotic...
11:39
Assessing Autophagic Flux by Measuring LC3, p62, and LAMP1 Co-localization Using Multispectral Imaging Flow Cytometry
0 Views •
Cited by 94 •
2017
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.
FAQs
An increase in autophagosomes can reflect either stronger formation or impaired lysosomal clearance. Autophagic response measurement therefore compares markers with and without lysosomal inhibitors, allowing researchers to determine whether cargo continues through the pathway or accumulates because degradation is blocked. This distinction prevents elevated autophagosome levels from being misinterpreted as increased pathway activity.
LC3 conversion indicates changes associated with autophagosome formation, whereas p62 degradation reports loss of cargo-linked material during lysosomal processing. Considering both measurements helps researchers assess different stages of the response rather than relying on one marker. Their combined interpretation is especially useful when determining whether altered signal reflects increased autophagy or disrupted clearance.
Lysosomal inhibitors provide a comparison that separates production from downstream disposal. If inhibition changes the accumulation of measured markers, researchers can assess how much material would otherwise move through lysosomes. This experimental contrast strengthens flux analysis, because a single measurement cannot by itself show whether autophagosomes are being generated actively or remaining because clearance has slowed.
Fluorescence reporters and microscopy can visualize changes in labeled autophagy-related structures, while immunoblotting measures marker changes such as LC3 conversion or p62 degradation. Using these approaches together can connect observed cellular patterns with biochemical evidence. The combination supports a more complete interpretation of the response and helps researchers compare autophagy-related changes across experimental conditions.
A practical workflow begins by selecting a measurable marker or reporter, applying the experimental cancer-related condition, and assessing the response with microscopy, fluorescence, or immunoblotting. Parallel samples with lysosomal inhibition can help evaluate flux rather than accumulation alone. Researchers then compare marker behavior across conditions to determine how the pathway changes under the tested treatment or stress.
Cancer cells may use autophagy differently under metabolic stress, with the response supporting survival in some settings or contributing to cell death in others. Measuring pathway behavior helps researchers determine which interpretation fits the tested condition. Flux analysis is particularly relevant because it shows whether the pathway is progressing through lysosomal processing rather than merely accumulating intermediate structures.
Autophagic response measurement can reveal whether a therapy changes autophagosome formation, lysosomal clearance, or overall flux. That information helps distinguish pathway activation from blockage and clarifies how tumor cells respond to treatment. In cancer research, these outcomes provide a basis for evaluating whether altered autophagy accompanies tumor-cell survival or cell death under the experimental conditions.