SUB-immunogold-SEM reveals nanoscale distribution of submembranous epitopes
Electron microscopy paired with immunogold labeling is the most precise tool for protein localization. However, these methods are either cumbersome, resulting in small sample numbers and restricted quantification, or limited to identifying protein epitopes external to the membrane. Here, we introduce SUB-immunogold-SEM, a scanning electron microscopy technique that detects intracellular protein epitopes proximal to the membrane. We identify four critical sample preparation factors contributing to the method's sensitivity. We validate its efficacy through precise localization and high-powered quantification of cytoskeletal and transmembrane protein distribution. We evaluate the capabilities of SUB-immunogold-SEM on cells with highly differentiated apical surfaces: (i) auditory hair cells, revealing the presence of nanoscale MYO15A-L rings at the tip of stereocilia; and (ii) respiratory multiciliate cells, mapping the distribution of the SARS-CoV-2 receptor ACE2 along the motile cilia. SUB-immunogold-SEM extends the application of SEM-based nanoscale protein localization to the detection of intracellular epitopes on the exposed surfaces of any cell.
Authors
- Nicolas Grillet (ORCID: https://orcid.org/0000-0001-8007-9246)
- Katharine K. Miller (ORCID: https://orcid.org/0000-0002-0690-7426)
- Pei Wang (ORCID: https://orcid.org/0000-0002-0538-7641)
Institutions
- Stanford University (US)
Publication Details
- Journal
- Nature Communications
- Published
- 2024-09-10
- DOI
- https://doi.org/10.1038/s41467-024-51849-x
- Citations
- 3
- Primary Topic
- Monoclonal and Polyclonal Antibodies Research
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- National Science Foundation
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- National Institutes of Health
- National Institute on Aging
- National Institute on Deafness and Other Communication Disorders
- Division of Electrical, Communications and Cyber Systems
- Stanford Maternal and Child Health Research Institute