Journal of Structural BiologyBiophysicsPeer-reviewed journal article
Vesicle Picker: A tool for efficient identification of membrane protein complexes in vesicles
Abstract
Electron cryomicroscopy (cryo-EM) has recently allowed determination of near-atomic resolution structures of membrane proteins and protein complexes embedded in lipid vesicles. However, particle selection from electron micrographs of these vesicles can be challenging due to the strong signal contributed from the lipid bilayer. This challenge often requires iterative and laborious particle selection workflows to generate a dataset of high-quality particle images for subsequent analysis. Here we present Vesicle Picker, an open-source program built on the Segment Anything model. Vesicle Picker enables automatic identification of vesicles in cryo-EM micrographs with high recall and precision. It then exhaustively selects all potential particle locations, either at the perimeter or uniformly over the surface of the projection of the vesicle. The program is designed to interface with cryoSPARC, which performs both upstream micrograph processing and downstream single particle image analysis. We demonstrate Vesicle Pickers utility by determining a high-resolution map of the vacuolar-type ATPase from micrographs of native synaptic vesicles (SVs) and identifying an additional protein or protein complex in the SV membrane.
- assay: cryo-EM
- research focus: cell type annotation
- research focus: clustering
- research focus: differential expression
- research focus: protein structure prediction
- approach: deep learning
- approach: transformer / foundation model
- Citations
- 6
- FWCI
- 1.14
- Field percentile
- top 21%
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