ArticleActa crystallographica. Section F, Structural biology communications2026
Helical reconstruction of amyloids in cryoSPARC.
Article in Acta crystallographica. Section F, Structural biology communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- 3D Visualization and Proteomic Analysis of Human Cardiac Transthyretin Amyloidosis Tissue Reveals Microangiopathy and Capillary Occlusion.bioRxiv : the preprint server for biology · 2026Article
- Cryo-EM of Cardiac AL-224L Amyloid Reveals Shared Structural Motifs and Mutation-induced Differences in λ6 Light Chain Fibrils.Journal of molecular biology · 2026Article
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Authors and funding
6 authors.
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Abstract
Amyloid-mediated proteotoxicity underlies over 50 diseases. Cryo-EM establishes direct links between filament morphologies and pathology, although microbial functional amyloids illustrate that this fold can evolve to serve physiological roles, unlike their pathogenic counterparts. Despite the growing popularity of the processing software cryoSPARC for single-particle analyses, RELION remains the dominant software platform for performing helical reconstruction of amyloid structures, highlighting an area for further development. Here, we present comprehensive processing guidelines for helical reconstruction of helical amyloids using cryoSPARC. Through systematic reprocessing and validation of publicly deposited datasets, we demonstrate the current capabilities and identify the key limitations, emphasizing the need for amyloid-specific parameter optimization within cryoSPARC workflows. Our findings showcase a potential for developing unsupervised processing workflows to meet the demanding throughput requirements of time-resolved in vitro studies and large-scale compound-screening initiatives, thereby accelerating therapeutic drug development. Ultimately, our goal is to shift the focus of amyloid cryo-EM from computationally intensive processing challenges towards addressing fundamental biological questions that enhance our capacity for treatment discovery.
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