ArticleNature communications2025
MPicker: visualizing and picking membrane proteins for cryo-electron tomography.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- MemBrain v2: an end-to-end tool for the analysis of membranes in cryo-electron tomography.Nature methods · 2026Article
- TomoSwin3D: a Swin3D Transformer for the Identification and Classification of Macromolecules in 3D Cryo-ET Tomograms.bioRxiv : the preprint server for biology · 2026Article
- Molecular architecture of the ciliary base in mammalian multiciliated cells.bioRxiv : the preprint server for biology · 2026Article
- ETSAM: Effectively Segmenting Cell Membranes in cryo-Electron Tomograms.Research square · 2026Article
- High-resolution, multidimensional solar radiation evaluation for the scientific protection of built heritage sites.Communications engineering · 2026Article
- A practical look at cryo-electron tomography image processing: Key considerations for new biological discoveries.Current opinion in structural biology · 2025Review
- MPicker: visualizing and picking membrane proteins for cryo-electron tomography.Nature communications · 2025Article
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9 authors.
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Abstract
Advancements in cryo-electron tomography (cryoET) allow the structure of macromolecules to be determined in situ, which is crucial for studying membrane protein structures and their interactions in the cellular environment. However, membranes are often highly curved and have a strong contrast in cryoET tomograms, which masks the signals from membrane proteins. These factors pose difficulties in observing and revealing the structures of membrane proteins in situ. Here, we report a membrane-flattening method and the corresponding software, MPicker, designed for the visualization, localization, and orientation determination of membrane proteins in cryoET tomograms. This method improves the visualization of proteins on and around membranes by generating a flattened tomogram that eliminates membrane curvature and reduces the spatial complexity of membrane protein analysis. In MPicker, we integrated approaches for automated particle picking and coarse alignment of membrane proteins for sub-tomogram averaging. MPicker was tested on tomograms of various cells to evaluate the method for visualizing, picking, and analyzing membrane proteins.
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