Super-resolution fluorescence imaging of organelles in live cells with photoswitchable membrane probes
Open accessAbstract
Imaging membranes in live cells with nanometer-scale resolution promises to reveal ultrastructural dynamics of organelles that are essential for cellular functions. In this work, we identified photoswitchable membrane probes and obtained super-resolution fluorescence images of cellular membranes. We demonstrated the photoswitching capabilities of eight commonly used membrane probes, each specific to the plasma membrane, mitochondria, the endoplasmic recticulum (ER) or lysosomes. These small-molecule probes readily label live cells with high probe densities. Using these probes, we achieved dynamic imaging of specific membrane structures in living cells with 30–60 nm spatial resolution at temporal resolutions down to 1–2 s. Moreover, by using spectrally distinguishable probes, we obtained two-color super-resolution images of mitochondria and the ER. We observed previously obscured details of morphological dynamics of mitochondrial fusion/fission and ER remodeling, as well as heterogeneous membrane diffusivity on neuronal processes.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Diffusion speeds of plasma membrane markers are reduced in spine necks.
“In addition, a live SMLM study showed reduced diffusion speeds of plasma membrane markers in spine necks (Shim et al., 2012).”
From Barriers in the brain: resolving dendritic spine morphology and compartmentalization (2014) · cites this paper as Shim et al., 2012
Two-dimensional diffusion of membrane markers and AMPA-type glutamate receptors is sensitive to the morphology of the dendritic spine.
“Several experiments have shown that two-dimensional diffusion of membrane markers and AMPA-type glutamate receptors is sensitive to the morphology of the dendritic spine (Ashby et al., 2006; Shim et al., 2012).”
From Barriers in the brain: resolving dendritic spine morphology and compartmentalization (2014) · cites this paper as Shim et al., 2012
Cites
Ashby, M. C., Maier, S. R., Nishimune, A., & Henley, J. M. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1235-06.2006 · Cited by 302 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Multiple dynamin family members collaborate to drive mitochondrial division
Lee, J. E., Westrate, L. M., Wu, H., Page, C., & Voeltz, G. K. (2016) · Nature · doi:10.1038/nature20555 · Cited by 512 · see citing works
Dendritic structural plasticity and neuropsychiatric disease
Forrest, M. P., Parnell, E., & Penzes, P. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2018.16 · Cited by 464 · see citing works
Endoplasmic reticulum-mitochondria tethering in neurodegenerative diseases
Liu, Y., & Zhu, X. (2017) · Translational Neurodegeneration · doi:10.1186/s40035-017-0092-6 · Cited by 132 · see citing works
Barriers in the brain: resolving dendritic spine morphology and compartmentalization
Adrian, M., Kusters, R., Wierenga, C. J., Storm, C., Hoogenraad, C. C., & Kapitein, L. C. (2014) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2014.00142 · Cited by 62 · see citing works
“…membrane-bound proteins (Giannone et al., 2010; Ries et al., 2012), using genetically encoded fluorophores that either directly label or transiently bind to actin (Frost et al., 2010; Izeddin et al., 2011), or using a lipophilic cyanine dye that labels the plasma membrane (Shim et al., 2012).”
- Authors
- Shim, S.-H., Xia, C., Zhong, G., Babcock, H. P., Vaughan, J. C., Huang, B., Wang, X., Xu, C., Bi, G.-Q., & Zhuang, X.
- Affiliations
- Harvard University (US)
- University of Science and Technology of China (CN)
- Howard Hughes Medical Institute (US)
- Department of Chemistry and Chemical Biology,
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2012-08-13
- Volume
- 109
- Issue
- 35
- Pages
- 13978-13983
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC3435176
- OpenAlex
- W2058612331
- Cited by
- 514
- References
- 1
- Citations by year
- 2026: 12 · 2025: 21 · 2024: 26 · 2023: 24 · 2022: 32 · 2021: 36 · 2020: 43 · 2019: 46 · 2018: 56 · 2017: 36 · 2016: 39 · 2015: 42 · 2014: 47 · 2013: 44 · 2012: 9
- FWCI
- 20.78
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Scholarworks@UNIST (Ulsan National Institute of Science and Technology) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institute of General Medical Sciences (R01GM068518)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Advanced Fluorescence Microscopy Techniques
- Physical Sciences › Chemistry › Spectroscopy › Molecular Sensors and Ion Detection
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular transport and secretion
- Keywords
- super-resolution fluorescence microscopy, organelle membranes, live-cell imaging, mitochondrial fission and fusion, endoplasmic reticulum remodeling, lysosomes, plasma membrane, membrane diffusivity, neural processes, dual-color imaging, chemical probes
- MeSH terms
- Boron Compounds, Carbocyanines, Cell Membrane, Dendrites, Endoplasmic Reticulum, Fluorescent Dyes, Hippocampus, Lipid Bilayers, Lysosomes, Microscopy, Fluorescence, Mitochondria, Neurons, Pseudopodia, Stochastic Processes, Organelles, Nanostructures
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
