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Surface delivery quantification reveals distinct trafficking efficiencies among clustered protocadherin isoforms
Open accessPreprint — published as 10.1073/pnas.2514178122
Abstract
Proteins that transmit molecules and signals across the plasma membrane are crucial in cell biology because they enable cells to sense and respond to their surroundings. A major challenge for studying cell-surface proteins is that often they do not fold or traffic properly to the plasma membrane when produced in heterologous cells. We developed a strategy for quantifying surface localization from fluorescence microscopy images of surface-stained cells. Using clustered protocadherins, a protein family important for cell-cell recognition during neuronal development, we found that surface delivery levels vary among clustered protocadherin isoforms and between wildtype and engineered variants. Quantifying these differences provides evidence that cis dimerization is not tightly coupled to surface delivery for clustered protocadherins. This work establishes a generalizable framework for screening proteins and variants of interest for proper cell surface localization. Significance: Surface proteins allow cells to interact with their environments, and their activities are often regulated by their delivery to and removal from the plasma membrane. We developed a strategy to quantitatively compare the surface delivery of proteins based on established epitope tag-based surface staining methods. Using natural and engineered variants of clustered protocadherins, cell-surface proteins essential for neuron development, we show that quantitative comparisons of surface trafficking levels facilitate the interpretation of mutational effects and can shed light on key regulatory mechanisms. We find that surface trafficking levels differ between variants and that, contrary to what was previously thought, a domain that inhibits surface delivery in some clustered protocadherins does so without directly relying on its protein-protein interface.
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Highly accurate protein structure prediction with AlphaFold
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Metadata
- Authors
- May, E. J., & Gaudet, R.
- Affiliations
- Harvard University (US)
- Corresponding author
- Gaudet, Rachelle
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- openRxiv
- Published
- 2024-09-24
- Volume
- 122
- Issue
- 31
- Pages
- e2514178122-e2514178122
- ISSN
- 0027-8424 (ISSN-L)
- PMC
- PMC12337331
- OpenAlex
- W4412741013
- Cited by
- 2
- References
- 1
- Citations by year
- 2026: 1 · 2025: 1
- FWCI
- 1.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- creativecommons.org/licenses/by/4.0/ (vor)
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed Central (submittedVersion, cc-by)
- Funders
- National Science Foundation (1764269)
- National Institutes of Health
- Department of Physics, Harvard University
- National Institute of General Medical Sciences (R01GM120996)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular transport and secretion
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
- Keywords
- clustered protocadherins, cell surface localization, protein trafficking, surface staining, neuronal development, cell-cell recognition, heterologous expression
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