Costa-Filho, J. I. | bioRxiv Science

bioRxiv2025

Tau seeding in neurons enabled by transient endolysosomal perforations are confined within endolysosomes

Pathogenic tau assemblies propagate by templated seeding. For endocytosed fibrils to initiate aggregation of endogenous tau, a breach must occur in the limiting membrane of an endosome or lysosome. To study the route by which internalized tau seeds access cytosolic monomers and to identify the site of aggregate growth, we imaged live human iPSC-derived neurons (iNs) expressing tau P301L-eGFP after exposure to recombinant tau pre-formed fibrils (PFFs) or Alzheimers disease (AD) brain-derived oligomers or fibrils. We detected seeded tau P301L- eGFP aggregation within late endosomes/lysosomes of iNs but not in undifferentiated iPSCs. Colocalization with a Dextran pH biosensor showed that the aggregates remained within the lumen of an intact, low-pH compartment. Reporters of endolysosomal injury and repair (endolysosomal recruitment cytosolic galectin-3 and the ESCRT-III component IST1) did not change during seeding. Volume focused-ion-beam scanning electron microscopy showed fibrillar material exclusively inside membrane-bounded endolysosomes, with no membrane discontinuities in the fibril-containing compartments and with no evidence of cytosolic aggregates. Because tau and -synuclein can cross-seed, we adapted a HaloTag pulse-chase assay to test for the persistence of trans-membrane access. AD fiber-containing endolysosomes progressively recruited cytosolic -synuclein-Halo over days, with heterogeneous incorporation histories consistent with recurrent, self-limited access events rather than persistent rupture or terminal sealing. Pharmacologic inhibition of the endolysosomal lipid kinase PIKfyve with apilimod suppressed seeded tau aggregation and prevented neuronal toxicity. These data indicate that templated conversion proceeds within acidic, membrane-intact endolysosomes; tau seeding in neurons is enabled by transient, self-limited endolysosomal perforations yet remains confined to the endolysosomal lumen, and it requires PIKfyve- dependent PI(3,5)P2.

neuroscience↗

bioRxiv2024

CryoSamba: self-supervised deep volumetric denoising for cryo-electron tomography data

Cryogenic electron tomography (cryo-ET) has rapidly advanced as a high-resolution imaging tool for visualizing subcellular structures in 3D with molecular detail. Direct image inspection remains challenging due to inherent low signal-to-noise ratios (SNR). We introduce CryoSamba, a self-supervised deep learning-based model designed for denoising cryo-ET images. CryoSamba enhances single consecutive 2D planes in tomograms by averaging motion-compensated nearby planes through deep learning interpolation, effectively mimicking increased exposure. This approach amplifies coherent signals and reduces high-frequency noise, substantially improving tomogram contrast and SNR. CryoSamba operates on 3D volumes without needing pre-recorded images, synthetic data, labels or annotations, noise models, or paired volumes. CryoSamba suppresses high-frequency information less aggressively than do existing cryo-ET denoising methods, while retaining real information, as shown both by visual inspection and by Fourier shell correlation analysis of icosahedrally symmetric virus particles. Thus, CryoSamba enhances the analytical pipeline for direct 3D tomogram visual interpretation.

bioinformatics↗