Literature DB >> 25979236

An automated phenotype-based microscopy screen to identify pro-longevity interventions acting through mitochondria in C. elegans.

Silvia Maglioni1, Nayna Arsalan2, Luigi Franchi3, Alexander Hurd3, Anthony W Opipari3, Gary D Glick3, Natascia Ventura4.   

Abstract

Mitochondria are multifunctional organelles that play a central role in cellular homeostasis. Severe mitochondrial dysfunction leads to life-threatening diseases in humans and accelerates the aging process. Surprisingly, moderate reduction of mitochondrial function in different species has anti-aging effects. High-throughput screenings in the nematode Caenorhabditis elegans lead to the identification of several pro-longevity genetic and pharmacological interventions. Large-scale screens, however, are manual, subjective, time consuming and costly. These limitations could be reduced by the identification of automatically quantifiable biomarkers of healthy aging. In this study we exploit the distinct and reproducible phenotypes described in C. elegans upon different levels of mitochondrial alteration to develop an automated high-content strategy to identify new potential pro-longevity interventions. Utilizing the microscopy platform Cellomics ArrayScan Reader, we optimize a workflow to automatically and reliably quantify the discrete phenotypic readouts associated with different degrees of silencing of mitochondrial respiratory chain regulatory proteins, and validate the approach with mitochondrial-targeting drugs known to extend lifespan in C. elegans. Finally, we report that a new mitochondrial ATPase modulator matches our screening phenotypic criteria and extends nematode's lifespan thus providing the proof of principle that our strategy could be exploited to identify novel mitochondrial-targeted drugs with pro-longevity activity. This article is part of a Special Issue entitled: Mitochondrial Dysfunction in Aging.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aging; C. elegans; High-content screening; Mit mutant's phenotypes; Mitochondria; Phenotypic biomarkers

Mesh:

Year:  2015        PMID: 25979236     DOI: 10.1016/j.bbabio.2015.05.004

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  7 in total

Review 1.  High-throughput fluorescence imaging approaches for drug discovery using in vitro and in vivo three-dimensional models.

Authors:  Natalia J Martinez; Steven A Titus; Amanda K Wagner; Anton Simeonov
Journal:  Expert Opin Drug Discov       Date:  2015-09-22       Impact factor: 6.098

2.  Machine learning for predicting lifespan-extending chemical compounds.

Authors:  Diogo G Barardo; Danielle Newby; Daniel Thornton; Taravat Ghafourian; João Pedro de Magalhães; Alex A Freitas
Journal:  Aging (Albany NY)       Date:  2017-07-18       Impact factor: 5.682

Review 3.  Phenotypic Screening in C. elegans as a Tool for the Discovery of New Geroprotective Drugs.

Authors:  Sven Bulterijs; Bart P Braeckman
Journal:  Pharmaceuticals (Basel)       Date:  2020-07-25

4.  The Detection of Early Epigenetic Inheritance of Mitochondrial Stress in C. Elegans with a Microfluidic Phenotyping Platform.

Authors:  H B Atakan; K S Hof; M Cornaglia; J Auwerx; M A M Gijs
Journal:  Sci Rep       Date:  2019-12-17       Impact factor: 4.379

5.  High-Content C. elegans Screen Identifies Natural Compounds Impacting Mitochondria-Lipid Homeostasis and Promoting Healthspan.

Authors:  Silvia Maglioni; Nayna Arsalan; Anna Hamacher; Shiwa Afshar; Alfonso Schiavi; Mathias Beller; Natascia Ventura
Journal:  Cells       Date:  2021-12-29       Impact factor: 6.600

6.  Neuroligin-mediated neurodevelopmental defects are induced by mitochondrial dysfunction and prevented by lutein in C. elegans.

Authors:  Silvia Maglioni; Alfonso Schiavi; Marlen Melcher; Vanessa Brinkmann; Zhongrui Luo; Anna Laromaine; Nuno Raimundo; Joel N Meyer; Felix Distelmaier; Natascia Ventura
Journal:  Nat Commun       Date:  2022-05-12       Impact factor: 17.694

7.  Imaging and Fluorescence Quantification in Caenorhabditis eleganswith Flow Vermimetry and Automated Microscopy.

Authors:  Elissa Tjahjono; Alexey V Revtovich; Natalia V Kirienko
Journal:  Bio Protoc       Date:  2021-05-20
  7 in total

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