Corrected Super-Resolution Microscopy Enables Nanoscale Imaging of Autofluorescent Lung Macrophages.
Corrected Super-Resolution Microscopy Enables Nanoscale Imaging of Autofluorescent Lung Macrophages.
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DOI:
10.1016/j.bpj.2020.10.041
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发表时间:
2020-12-15
影响因子:
3.4
通讯作者:
Davis DM
中科院分区:
文献类型:
--
作者:
Ambrose AR;Dechantsreiter S;Shah R;Montero MA;Quinn AM;Hessel EM;Beinke S;Tannahill GM;Davis DM
Observing the cell surface and underlying cytoskeleton at nanoscale resolution using super-resolution microscopy has enabled many insights into cell signaling and function. However, the nanoscale dynamics of tissue-specific immune cells have been relatively little studied. Tissue macrophages, for example, are highly autofluorescent, severely limiting the utility of light microscopy. Here, we report a correction technique to remove autofluorescent noise from stochastic optical reconstruction microscopy (STORM) data sets. Simulations and analysis of experimental data identified a moving median filter as an accurate and robust correction technique, which is widely applicable across challenging biological samples. Here, we used this method to visualize lung macrophages activated through Fc receptors by antibody-coated glass slides. Accurate, nanoscale quantification of macrophage morphology revealed that activation induced the formation of cellular protrusions tipped with MHC class I protein. These data are consistent with a role for lung macrophage protrusions in antigen presentation. Moreover, the tetraspanin protein CD81, known to mark extracellular vesicles, appeared in ring-shaped structures (mean diameter 93 ± 50 nm) at the surface of activated lung macrophages. Thus, a moving median filter correction technique allowed us to quantitatively analyze extracellular secretions and membrane structure in tissue-derived immune cells.
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影响因子:
7.3
作者:
Andreu Z;Yáñez-Mó M
通讯作者:
Yáñez-Mó M
DOI:
10.1126/science.aau6977
发表时间:
2020-02-07
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Kalluri R;LeBleu VS
通讯作者:
LeBleu VS
影响因子:
8.4
作者:
Jun YW;Kim HR;Reo YJ;Dai M;Ahn KH
通讯作者:
Ahn KH
影响因子:
7.3
作者:
Bálint Š;Lopes FB;Davis DM
通讯作者:
Davis DM
影响因子:
5.8
作者:
Hsiao, Chia-Hung Christine;Ueno, Norikiyo;Wilson, Mary E.
通讯作者:
Wilson, Mary E.