AIMC Topic: Mitochondria
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Application of Machine-Learning Methods to Recognize mitoBK Channels from Different Cell Types Based on the Experimental Patch-Clamp Results.
International journal of molecular sciences
Jan 15, 2021
(1) Background: In this work, we focus on the activity of large-conductance voltage- and Ca2+-activated potassium channels (BK) from the inner mitochondrial membrane (mitoBK). The characteristic electrophysiological features of the mitoBK channels ar...
Kinetics
Mitochondria
Hippocampus
Rats, Wistar
Rats
Fibroblasts
Ion Channel Gating
Patch-Clamp Techniques
Large-Conductance Calcium-Activated Potassium Channels
Protein Conformation
Potassium Channels
Neural Networks, Computer
Endothelium
Artificial Intelligence
Pregnancy, Animal
Machine Learning
Female
Animals
Algorithms
Pregnancy
HIVE-Net: Centerline-aware hierarchical view-ensemble convolutional network for mitochondria segmentation in EM images.
Computer methods and programs in biomedicine
Jan 10, 2021
BACKGROUND AND OBJECTIVE: With the advancement of electron microscopy (EM) imaging technology, neuroscientists can investigate the function of various intracellular organelles, e.g, mitochondria, at nano-scale. Semantic segmentation of electron micro...
Label-free metabolic clustering through unsupervised pixel classification of multiparametric fluorescent images.
Analytica chimica acta
Dec 31, 2020
Autofluorescence microscopy is a promising label-free approach to characterize NADH and FAD metabolites in live cells, with potential applications in clinical practice. Although spectrally resolved lifetime imaging techniques can acquire multiparamet...
DeepPred-SubMito: A Novel Submitochondrial Localization Predictor Based on Multi-Channel Convolutional Neural Network and Dataset Balancing Treatment.
International journal of molecular sciences
Aug 9, 2020
Mitochondrial proteins are physiologically active in different compartments, and their abnormal location will trigger the pathogenesis of human mitochondrial pathologies. Correctly identifying submitochondrial locations can provide information for di...
Machine-learning assisted confocal imaging of intracellular sites of triglycerides and cholesteryl esters formation and storage.
Analytica chimica acta
May 3, 2020
All living systems are maintained by a constant flux of metabolic energy and, among the different reactions, the process of lipids storage and lipolysis is of fundamental importance. Current research has focused on the investigation of lipid droplets...
Using Machine Learning Methods and Structural Alerts for Prediction of Mitochondrial Toxicity.
Molecular informatics
Mar 23, 2020
Over the last few years more and more organ and idiosyncratic toxicities were linked to mitochondrial toxicity. Despite well-established assays, such as the seahorse and Glucose/Galactose assay, an in silico approach to mitochondrial toxicity is stil...
MMPdb and MitoPredictor: Tools for facilitating comparative analysis of animal mitochondrial proteomes.
Mitochondrion
Jan 20, 2020
Data on experimentally-characterized animal mitochondrial proteomes (mt-proteomes) are limited to a few model organisms and are scattered across multiple databases, impeding a comparative analysis. We developed two resources to address these problems...
A mitochondria-targeting nitroreductase fluorescent probe with large Stokes shift and long-wavelength emission for imaging hypoxic status in tumor cells.
Analytica chimica acta
Dec 24, 2019
Development of a mitochondria-targeting fluorescent probe with large Stokes shift and long-wavelength emission was benefit for accurate detection of hypoxic status, which was known as a major factor of the tumor physiology and influence important pat...
Mitochondria Segmentation From EM Images via Hierarchical Structured Contextual Forest.
IEEE journal of biomedical and health informatics
Dec 23, 2019
Delineation of mitochondria from electron microscopy (EM) images is crucial to investigate its morphology and distribution, which are directly linked to neural dysfunction. However, it is a challenging task due to the varied appearances, sizes and sh...
The NAD-mitophagy axis in healthy longevity and in artificial intelligence-based clinical applications.
Mechanisms of ageing and development
Dec 5, 2019
Nicotinamide adenine dinucleotide (NAD) is an important natural molecule involved in fundamental biological processes, including the TCA cycle, OXPHOS, β-oxidation, and is a co-factor for proteins promoting healthy longevity. NAD depletion is associa...
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