AIMC Topic: Nuclear Envelope

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Visualizing nuclear pore complex plasticity with pan-expansion microscopy.

The Journal of cell biology Jun 12, 2025
The exploration of cell-type and environmentally responsive nuclear pore complex (NPC) plasticity requires new, accessible tools. Using pan-expansion microscopy (pan-ExM), NPCs were identified by machine learning-facilitated segmentation. They exhibi...
Humans Membrane Glycoproteins Amyotrophic Lateral Sclerosis Neurons Microscopy Induced Pluripotent Stem Cells Nuclear Envelope Nuclear Pore C9orf72 Protein
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Protocol for machine-learning-based 3D image analysis of nuclear envelope tubules in cultured cells.

STAR protocols Jul 31, 2024
The nuclear envelope can form complex structures in physiological and pathological contexts. Current approaches to quantify nuclear envelope structures can be time-consuming or inaccurate. Here, we present a protocol to measure nuclear envelope tubul...
Humans Machine Learning Cells, Cultured Imaging, Three-Dimensional Image Processing, Computer-Assisted DNA Breaks, Double-Stranded Nuclear Envelope
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Cryo-electron Microscopy Reveals the Structure of the Nuclear Pore Complex.

Journal of molecular biology Mar 17, 2023
The nuclear pore complex (NPC) is a giant protein assembly that penetrates the double layers of the nuclear membrane. The overall structure of the NPC has approximately eightfold symmetry and is formed by approximately 30 nucleoporins. The great size...
Artificial Intelligence Cryoelectron Microscopy Nuclear Pore Complex Proteins Nuclear Envelope Nuclear Pore
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Deep learning for automatic segmentation of the nuclear envelope in electron microscopy data, trained with volunteer segmentations.

Traffic (Copenhagen, Denmark) May 16, 2021
Advancements in volume electron microscopy mean it is now possible to generate thousands of serial images at nanometre resolution overnight, yet the gold standard approach for data analysis remains manual segmentation by an expert microscopist, resul...
Humans Deep Learning HeLa Cells Microscopy, Electron Nuclear Envelope Volunteers
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Loss of the integral nuclear envelope protein SUN1 induces alteration of nucleoli.

Nucleus (Austin, Tex.) Mar 10, 2016
A supervised machine learning algorithm, which is qualified for image classification and analyzing similarities, is based on multiple discriminative morphological features that are automatically assembled during the learning processes. The algorithm ...
Humans Machine Learning Algorithms Female Breast Neoplasms Cell Line, Tumor Membrane Proteins Nuclear Proteins Neoplasm Proteins Microtubule-Associated Proteins RNA, Ribosomal RNA, Neoplasm Cell Nucleolus Nuclear Envelope
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