Quantification of autophagy flux in isolated mouse skeletal muscle fibers with overexpression of fluorescent protein mCherry-EGFP-LC3.
Quantification of autophagy flux in isolated mouse skeletal muscle fibers with overexpression of fluorescent protein mCherry-EGFP-LC3.
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DOI:
10.1016/j.xpro.2022.101871
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发表时间:
2023-03-17
期刊:
影响因子:
--
通讯作者:
Ma, Jianjie
中科院分区:
文献类型:
--
作者:
Zhou, Xinyu;Cho, Ju Hwan;Yi, Jianxun;Choi, Kyounghan;Park, Ki Ho;Zhu, Hua;Cai, Chuanxi;Haggard, Erin;Zhou, Jingsong;Ko, Jae-Kyun;Ma, Jianjie
Evaluation of autophagy flux could be challenging for muscle fibers due to the baseline expression of mCherry-EGFP-LC3 along the Z-line. We established a protocol to overcome this difficulty. We overexpress mChery-EGFP-LC3 in the FDB muscle of an adult mouse via electroporation. Then, we enzymatically digest FDB muscle to yield individual fibers for live cell imaging. Finally, we develop an ImageJ-based program to eliminate the baseline striation pattern and semi-automatically quantify autophagosomes (APs) and autolysosomes (ALs) for autophagy flux analysis. mCherry-EGFP-LC3 is expressed in skeletal muscle for monitoring autophagy activity Autophagosomes and autolysosomes in isolated muscle fibers are recorded by live cell imaging FFT based semi-automatic image processing for quantitative evaluation of autophagy flux Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. Evaluation of autophagy flux could be challenging for muscle fibers due to the baseline expression of mCherry-EGFP-LC3 along the Z-line. We established a protocol to overcome this difficulty. We overexpress mChery-EGFP-LC3 in the FDB muscle of an adult mouse via electroporation. Then, we enzymatically digest FDB muscle to yield individual fibers for live cell imaging. Finally, we develop an ImageJ-based program to eliminate the baseline striation pattern and semi-automatically quantify autophagosomes (APs) and autolysosomes (ALs) for autophagy flux analysis.
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DOI:
10.1002/cpz1.89
发表时间:
2021-05
期刊:
Current protocols
影响因子:
--
作者:
Dobson ETA;Cimini B;Klemm AH;Wählby C;Carpenter AE;Eliceiri KW
通讯作者:
Eliceiri KW
影响因子:
4.6
作者:
Kondratskyi A;Kondratska K;Vanden Abeele F;Gordienko D;Dubois C;Toillon RA;Slomianny C;Lemière S;Delcourt P;Dewailly E;Skryma R;Biot C;Prevarskaya N
通讯作者:
Prevarskaya N
影响因子:
13.6
作者:
Li, Ling;Wang, Zhao V.;Lin, Fangming
通讯作者:
Lin, Fangming
影响因子:
9.3
作者:
Xiao Y;Karam C;Yi J;Zhang L;Li X;Yoon D;Wang H;Dhakal K;Ramlow P;Yu T;Mo Z;Ma J;Zhou J
通讯作者:
Zhou J
影响因子:
3.7
作者:
Tjondrokoesoemo A;Park KH;Ferrante C;Komazaki S;Lesniak S;Brotto M;Ko JK;Zhou J;Weisleder N;Ma J
通讯作者:
Ma J