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Dernière publication 29/02/2024

DELE1 promotes translation-associated homeostasis- growth- and survival in mitoc

Mitochondria were auto-segmented using MitoNet, a deep learning segmentation model, operated with Python software, using the napari plungin, called...

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    [title] => DELE1 promotes translation-associated homeostasis- growth- and survival in mitoc
    [paragraph] => DELE1 promotes translation-associated homeostasis- growth- and survival in mitochondrial myopathy
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Authors
Hsin-Pin Lin, Jennifer D Petersen, Alexandra J Gilsrud, Angelo Madruga, Theresa M D'Silva, Xiaoping Huang, Mario K Shammas, Nicholas P Randolph, Yan Li, Drew R Jones, Michael E Pacold, Derek P Narendra

 Lab

Journal
bioRxiv
Abstract
Mitochondria were auto-segmented using MitoNet, a deep learning segmentation model, operated with Python software, using the napari plungin, called empanda (Conrad & Narayan, 2023). Structural features of mitochondria in TEM images were analyzed from two mice of each genotype (except for theTfammKO for which only one littermate of control andTfammKO, Dele1 KO were available). To carry out the analysis, images of at least two areas of tissue for each littermate were recorded at 2000 x direct magnification which encompassed a 550 m2field of view (examples for each genotype are shown inSupplemental Fig. 4-7). These areas were selected based on being located towards the interior of the tissue away from edges cut during dissection, and areas where the plane of the thin section was semi-longitudinal with respect to the muscle fibers, rather than transversely oriented. Within these areas, images of at least five subareas were acquired at 5000 x direct magnification, each of which encompassed an 87 m2field of view (examples are shown inSupplemental Fig. 4-7). Two or more of these 5000 x images were randomly selected for structural analysis using MitoNet segmentation. For each image, labels were automatically assigned to mitochondria detected in the TEM image by empanada-napari. The segmentation labels were manually proofread and corrected as needed and then the set of labels for each image was used to log the size features of each mitochondria including area, major and minor axis lengths, and aspect ratio into Excel (Microsoft Corporation, Redmond WA, USA). A minimum of 600 mitochondria per genotype were analyzed. The same labels created in empanada-napari were used to tabulate ultrastructural features of individual mitochondria in the control and mutant genotypes. With labels overlayed on the TEM image, each mitochondrion was examined and manually scored as normal or abnormal, and structural features noted in the Excel file that also contained the shape features logged for each mitochondrion. The percent of mitochondria with various structural features per genotype were graphed using GraphPad Prism 10.1.0 (316) version for Windows (GraphPad Software, Boston, MA, USA,www.graphpad.com).
Keywords/Topics
promotes;translation-associated;homeostasis;growth;survival;mitochondrial;myopathy;mitochondria;auto-segmented;mitonet
BIOSEB Instruments Used:
Grip strength test (BIO-GS4)
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Une méthode simple pour quantifier objectivement la force musculaire des rats et souris et l'effet de drogues, toxines, maladies musculaires (ex: myopathie) et neurodégénératives. Cette mesure de force est souvent employée en association avec le test de coordination motrice ROTAROD: un sujet présentant une coordination normale montrera des résultats médiocres en cas de faible force musculaire. Un must pour vos recherches sur l'activité, la coordination et le contrôle musculaire: particulièrement utile pour vos études sur les maladies de Parkinson et Huntington.
Nouveautés GS4 - 2023: Écran couleur rétroéclairé (meilleure lisibilité), pédale de remise à zéro, durée de batterie optimisée, taille de mémoire augmentée à 500 valeurs, compteur d'animaux, port USB (transfert de données/charge)

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