Diffusion-based size determination of solute particles: a method adapted for postsynaptic proteins Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.1101/2025.02.05.636588
The postsynaptic density (PSD) is a complex, multi-layered protein network largely situated on the internal surface of the postsynaptic membrane. It is the first processing unit for incoming synaptic transmissions, and changes in its internal structure are associated with synaptic strength and plasticity. These structural changes are largely governed by multivalent interactions between its components. The in vitro characterization of such complexes requires unbiased methods that can be used to estimate the size of the emerging assemblies for systems with multiple possible stoichiometries. Here we present an experimental method for detecting specific PSD proteins as well as their complexes based on their diffusion in a microfluidic environment. The method requires a fluorescent labelling technique that does not disrupt the function of labelled proteins, a microfluidic device that can maintain laminar flow for protein solutions, a microscope that can record the fluorescent signal emitted by these solutions, and an analytic software package that can process the collected experimental data and convert them into approximate particle sizes. We demonstrate the applicability of our method on protein constructs of various postsynaptic proteins, including the multivalent assembly between GKAP and LC8.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2025.02.05.636588
- OA Status
- green
- References
- 25
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4407185757Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2025.02.05.636588Digital Object Identifier
- Title
-
Diffusion-based size determination of solute particles: a method adapted for postsynaptic proteinsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-02-05Full publication date if available
- Authors
-
Á. Szabó, Eszter Nagy‐Kanta, Edit Andrea Jáger, Csaba István Pongor, Mária Laki, András József Laki, Zoltán GáspáriList of authors in order
- Landing page
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https://doi.org/10.1101/2025.02.05.636588Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1101/2025.02.05.636588Direct OA link when available
- Concepts
-
Diffusion, Statistical physics, Materials science, Biological system, Statistics, Mathematics, Physics, Thermodynamics, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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25Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.density | 3 |
| abstract_inverted_index.disrupt | 118 |
| abstract_inverted_index.emitted | 143 |
| abstract_inverted_index.laminar | 130 |
| abstract_inverted_index.largely | 11, 48 |
| abstract_inverted_index.methods | 65 |
| abstract_inverted_index.network | 10 |
| abstract_inverted_index.package | 151 |
| abstract_inverted_index.present | 86 |
| abstract_inverted_index.process | 154 |
| abstract_inverted_index.protein | 9, 133, 174 |
| abstract_inverted_index.surface | 16 |
| abstract_inverted_index.systems | 79 |
| abstract_inverted_index.various | 177 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.analytic | 149 |
| abstract_inverted_index.assembly | 183 |
| abstract_inverted_index.complex, | 7 |
| abstract_inverted_index.emerging | 76 |
| abstract_inverted_index.estimate | 71 |
| abstract_inverted_index.function | 120 |
| abstract_inverted_index.governed | 49 |
| abstract_inverted_index.incoming | 28 |
| abstract_inverted_index.internal | 15, 35 |
| abstract_inverted_index.labelled | 122 |
| abstract_inverted_index.maintain | 129 |
| abstract_inverted_index.multiple | 81 |
| abstract_inverted_index.particle | 164 |
| abstract_inverted_index.possible | 82 |
| abstract_inverted_index.proteins | 94 |
| abstract_inverted_index.requires | 63, 110 |
| abstract_inverted_index.situated | 12 |
| abstract_inverted_index.software | 150 |
| abstract_inverted_index.specific | 92 |
| abstract_inverted_index.strength | 41 |
| abstract_inverted_index.synaptic | 29, 40 |
| abstract_inverted_index.unbiased | 64 |
| abstract_inverted_index.collected | 156 |
| abstract_inverted_index.complexes | 62, 99 |
| abstract_inverted_index.detecting | 91 |
| abstract_inverted_index.diffusion | 103 |
| abstract_inverted_index.including | 180 |
| abstract_inverted_index.labelling | 113 |
| abstract_inverted_index.membrane. | 20 |
| abstract_inverted_index.proteins, | 123, 179 |
| abstract_inverted_index.structure | 36 |
| abstract_inverted_index.technique | 114 |
| abstract_inverted_index.assemblies | 77 |
| abstract_inverted_index.associated | 38 |
| abstract_inverted_index.constructs | 175 |
| abstract_inverted_index.microscope | 136 |
| abstract_inverted_index.processing | 25 |
| abstract_inverted_index.solutions, | 134, 146 |
| abstract_inverted_index.structural | 45 |
| abstract_inverted_index.approximate | 163 |
| abstract_inverted_index.components. | 55 |
| abstract_inverted_index.demonstrate | 167 |
| abstract_inverted_index.fluorescent | 112, 141 |
| abstract_inverted_index.multivalent | 51, 182 |
| abstract_inverted_index.plasticity. | 43 |
| abstract_inverted_index.environment. | 107 |
| abstract_inverted_index.experimental | 88, 157 |
| abstract_inverted_index.interactions | 52 |
| abstract_inverted_index.microfluidic | 106, 125 |
| abstract_inverted_index.postsynaptic | 2, 19, 178 |
| abstract_inverted_index.applicability | 169 |
| abstract_inverted_index.multi-layered | 8 |
| abstract_inverted_index.transmissions, | 30 |
| abstract_inverted_index.characterization | 59 |
| abstract_inverted_index.stoichiometries. | 83 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5091123400 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I31882830 |
| citation_normalized_percentile.value | 0.03533059 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |