ArticleMolecular biology of the cell2020
Deep learning approach for quantification of organelles and misfolded polypeptide delivery within degradative compartments.
Article in Molecular biology of the cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)Autophagy · 2021Guideline
- HiExM Enables Scalable Mapping of Organelle Morphology and Spatial Heterogeneity.bioRxiv : the preprint server for biology · 2026Article
- The role of N-glycans and their processing in ER-to-lysosome-associated degradation of disease-causing mutant Neuroserpin.Autophagy reports · 2026Article
- The intrinsically disordered regions of organellophagy receptors are interchangeable and control organelle fragmentation, ER-phagy and mitophagy flux.Nature cell biology · 2025Article
- Allosteric Modulation of GCase Enhances Lysosomal Activity and Reduces ER Stress in GCase-Related Disorders.International journal of molecular sciences · 2025Article
- AI-based hardware and software tools in microscopy to boost research in immunology and virology.Frontiers in immunology · 2025Review
- CNX:FAM134B-driven ERLAD of ATZ polymers proceeds via enhanced formation of VAPA:ORP1L:RAB7 contact sites between ER and endolysosomes.Autophagy reports · 2025Article
- Artificial Intelligence for Organelle Segmentation in Live-Cell Imaging.Research (Washington, D.C.) · 2025Review
- ER-to-lysosome-associated degradation acts as failsafe mechanism upon ERAD dysfunction.EMBO reports · 2024Article
- Lysosomes as coordinators of cellular catabolism, metabolic signalling and organ physiology.Nature reviews. Molecular cell biology · 2024Review
- TMX4-driven LINC complex disassembly and asymmetric autophagy of the nuclear envelope upon acute ER stress.Nature communications · 2023Article
- Systematic Transmission Electron Microscopy-Based Identification and 3D Reconstruction of Cellular Degradation Machinery.Advanced biology · 2023Article
- Validation of a highly sensitive HaloTag-based assay to evaluate the potency of a novel class of allosteric β-Galactosidase correctors.PloS one · 2023Article
- Could artificial intelligence revolutionize the development of nanovectors for gene therapy and mRNA vaccines?Nano today · 2022Article
- Precise measurement of nanoscopic septin ring structures with deep learning-assisted quantitative superresolution microscopy.Molecular biology of the cell · 2022Article
- Quantitative and time-resolved monitoring of organelle and protein delivery to the lysosome with a tandem fluorescent Halo-GFP reporter.Molecular biology of the cell · 2022Article
- A high-throughput protocol for monitoring starvation-induced autophagy in real time in mouse embryonic fibroblasts.STAR protocols · 2021Article
- N-glycan processing selects ERAD-resistant misfolded proteins for ER-to-lysosome-associated degradation.The EMBO journal · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Endolysosomal compartments maintain cellular fitness by clearing dysfunctional organelles and proteins from cells. Modulation of their activity offers therapeutic opportunities. Quantification of cargo delivery to and/or accumulation within endolysosomes is instrumental for characterizing lysosome-driven pathways at the molecular level and monitoring consequences of genetic or environmental modifications. Here we introduce LysoQuant, a deep learning approach for segmentation and classification of fluorescence images capturing cargo delivery within endolysosomes for clearance. LysoQuant is trained for unbiased and rapid recognition with human-level accuracy, and the pipeline informs on a series of quantitative parameters such as endolysosome number, size, shape, position within cells, and occupancy, which report on activity of lysosome-driven pathways. In our selected examples, LysoQuant successfully determines the magnitude of mechanistically distinct catabolic pathways that ensure lysosomal clearance of a model organelle, the endoplasmic reticulum, and of a model protein, polymerogenic ATZ. It does so with accuracy and velocity compatible with those of high-throughput analyses.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.