AIMC Topic: Cell Nucleolus

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AI-based classification of anticancer drugs reveals nucleolar condensation as a predictor of immunogenicity.

Molecular cancer Dec 20, 2024
BACKGROUND: Immunogenic cell death (ICD) inducers are often identified in phenotypic screening campaigns by the release or surface exposure of various danger-associated molecular patterns (DAMPs) from malignant cells. This study aimed to streamline t...
Humans Artificial Intelligence Animals Neoplasms Antineoplastic Agents Cell Line, Tumor Mice Quantitative Structure-Activity Relationship Cell Nucleolus Immunogenic Cell Death
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Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning.

Nature cell biology Dec 7, 2021
Simultaneous imaging of various facets of intact biological systems across multiple spatiotemporal scales is a long-standing goal in biology and medicine, for which progress is hindered by limits of conventional imaging modalities. Here we propose us...
Humans Animals Deep Learning Cell Line, Tumor Single-Cell Analysis Imaging, Three-Dimensional Mice Mitochondria Chlorocebus aethiops HeLa Cells 3T3 Cells HEK293 Cells Cell Nucleus Actins Cell Membrane Optical Imaging Refractometry Cell Nucleolus Subcellular Fractions Electron Microscope Tomography COS Cells Lipid Droplets
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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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