Back

Creating a bottleneck: Robust LC3B lipidation analysis by adjusting autophagic flux with low concentrations of Bafilomycin A1

Liebl, M. P.; Meister, S. C.; Frey, L.; Hendrich, K.; Klemmer, A.; Pohl, C.; Lakics, V.

2021-07-12 cell biology
10.1101/2021.07.12.452036 bioRxiv
Show abstract

Autophagic flux can be quantified based on the accumulation of lipidated LC3B in the presence of late-stage autophagy inhibitors. This method has been widely applied to identify novel compounds that activate autophagy. Here we scrutinize this approach and show that bafilomycin A1 (BafA) but not chloroquine is suitable for flux quantification due to the stimulating effect of chloroquine on non-canonical LC3B-lipidation. Significant autophagic flux increase by rapamycin could only be observed when combining it with BafA concentrations not affecting basal flux, a condition which created a bottleneck, rather than fully blocking autophagosome-lysosome fusion, concomitant with autophagy stimulation. When rapamycin was combined with saturating concentrations of BafA, no significant further increase of LC3B lipidation could be detected over the levels induced by the late-stage inhibitor. The large assay window obtained by this approach enables an effective discrimination of autophagy activators based on their cellular potency. To demonstrate the validity of this approach, we show that a novel inhibitor of the acetyltransferase EP300 activates autophagy in a mTORC1-dependent manner. We propose that the creation of a sensitized background rather than a full block of autophagosome progression is required to quantitatively capture changes in autophagic flux.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Autophagy
32 papers in training set
Top 0.1%
18.4%
2
eLife
5422 papers in training set
Top 9%
8.3%
3
Scientific Reports
3102 papers in training set
Top 19%
6.3%
4
Journal of Cell Biology
333 papers in training set
Top 0.5%
6.3%
5
Nature Communications
4913 papers in training set
Top 29%
6.3%
6
EMBO reports
136 papers in training set
Top 0.2%
6.3%
50% of probability mass above
7
Journal of Cell Science
353 papers in training set
Top 0.2%
6.3%
8
The EMBO Journal
267 papers in training set
Top 0.6%
2.7%
9
International Journal of Molecular Sciences
453 papers in training set
Top 4%
2.7%
10
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 2%
2.6%
11
Cell Reports Methods
141 papers in training set
Top 2%
2.1%
12
Cells
232 papers in training set
Top 2%
2.1%
13
Life Science Alliance
263 papers in training set
Top 0.2%
1.8%
14
Cell Reports
1338 papers in training set
Top 24%
1.7%
15
Journal of Biological Chemistry
641 papers in training set
Top 2%
1.5%
16
Journal of Lipid Research
35 papers in training set
Top 0.4%
1.1%
17
PLOS ONE
4510 papers in training set
Top 63%
0.9%
18
Cellular and Molecular Life Sciences
84 papers in training set
Top 0.4%
0.9%
19
PLOS Computational Biology
1633 papers in training set
Top 23%
0.8%
20
Communications Biology
886 papers in training set
Top 22%
0.8%
21
Biology Open
130 papers in training set
Top 2%
0.8%
22
Nucleic Acids Research
1128 papers in training set
Top 17%
0.8%
23
Biology of the Cell
11 papers in training set
Top 0.2%
0.8%
24
iScience
1063 papers in training set
Top 30%
0.8%
25
The FEBS Journal
78 papers in training set
Top 1%
0.7%
26
Molecular and Cellular Biology
40 papers in training set
Top 0.5%
0.6%
27
PLOS Biology
408 papers in training set
Top 23%
0.6%
28
Molecular Cell
308 papers in training set
Top 11%
0.6%
29
BioTechniques
24 papers in training set
Top 0.4%
0.6%
30
Hepatology
18 papers in training set
Top 0.4%
0.6%