Literature DB >> 30192357

A microfluidic platform for lifelong high-resolution and high throughput imaging of subtle aging phenotypes in C. elegans.

Sahand Saberi-Bosari1, Javier Huayta, Adriana San-Miguel.   

Abstract

Aging produces a number of changes in the neuronal structure and function throughout a variety of organisms. These aging-induced changes encompass a wide range of phenotypes, from loss of locomotion ability to defective production of synaptic vesicles. C. elegans is one of the primary systems used to elucidate phenotypes associated with aging processes. Conventional aging studies in C. elegans are typically labor-intensive, low-throughput, and incorporate fluorodeoxyuridine (FUdR) as a sterilizing agent to keep the population age-synchronized throughout the assay. However, FUdR exposure induces lifespan extension, and can potentially mask the phenotypes associated with the natural aging process. In addition, studying cellular or subcellular structures requires anesthetics or adhesives to immobilize nematodes while acquiring high-resolution images. In this platform, we are able to maintain a population (∼1000 worms) age-synchronized throughout its lifespan and perform a series of high-resolution microscopy studies in a drug-free environment. The device is composed of two main interconnected sections, one with the purpose of filtering progeny while keeping the parent population intact, and one for trapping nematodes in individual compartments for microscopy. Immobilization is carried out by decreasing the temperature of the device where nematodes are trapped by placing a heat sink on top of the chip. We were able to perform periodic high-resolution microscopy of fluorescently tagged synapses located at the dorsal side of the nematode's tail throughout the worms' lifespan. To characterize the subtle phenotypes that emerge as nematodes age, computer vision was implemented to perform automated unbiased detection of synapses and quantitative analysis of aging-induced synaptic changes.

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Year:  2018        PMID: 30192357      PMCID: PMC6195199          DOI: 10.1039/c8lc00655e

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  39 in total

1.  The worm's turn.

Authors:  Sydney Brenner
Journal:  Curr Biol       Date:  2002-10-29       Impact factor: 10.834

2.  The use of FUdR can cause prolonged longevity in mutant nematodes.

Authors:  Layla Aitlhadj; Stephen R Stürzenbaum
Journal:  Mech Ageing Dev       Date:  2010-03-15       Impact factor: 5.432

3.  The Neuronal Kinesin UNC-104/KIF1A Is a Key Regulator of Synaptic Aging and Insulin Signaling-Regulated Memory.

Authors:  Ling-Bo Li; Haoyun Lei; Rachel N Arey; Pengpeng Li; Jianfeng Liu; Coleen T Murphy; X Z Shawn Xu; Kang Shen
Journal:  Curr Biol       Date:  2016-02-11       Impact factor: 10.834

4.  A multi-channel device for high-density target-selective stimulation and long-term monitoring of cells and subcellular features in C. elegans.

Authors:  Hyewon Lee; Shin Ae Kim; Sean Coakley; Paula Mugno; Marc Hammarlund; Massimo A Hilliard; Hang Lu
Journal:  Lab Chip       Date:  2014-09-26       Impact factor: 6.799

5.  The aging process of the nematode Caenorhabditis elegans in bacterial and axenic culture.

Authors:  N A Croll; J M Smith; B M Zuckerman
Journal:  Exp Aging Res       Date:  1977-05       Impact factor: 1.645

6.  Fluorodeoxyuridine affects the identification of metabolic responses to daf-2 status in Caenorhabditis elegans.

Authors:  Sarah K Davies; Armand M Leroi; Jacob G Bundy
Journal:  Mech Ageing Dev       Date:  2011-11-17       Impact factor: 5.432

7.  Rapid Prototyping of Microfluidic Systems in Poly(dimethylsiloxane).

Authors:  D C Duffy; J C McDonald; O J Schueller; G M Whitesides
Journal:  Anal Chem       Date:  1998-12-01       Impact factor: 6.986

8.  Spontaneous age-related neurite branching in Caenorhabditis elegans.

Authors:  Elizabeth M H Tank; Kasey E Rodgers; Cynthia Kenyon
Journal:  J Neurosci       Date:  2011-06-22       Impact factor: 6.167

9.  The genetics of Caenorhabditis elegans.

Authors:  S Brenner
Journal:  Genetics       Date:  1974-05       Impact factor: 4.562

Review 10.  The cell biology of aging.

Authors:  Race DiLoreto; Coleen T Murphy
Journal:  Mol Biol Cell       Date:  2015-12-15       Impact factor: 4.138

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  8 in total

1.  Automated high-content phenotyping from the first larval stage till the onset of adulthood of the nematode Caenorhabditis elegans.

Authors:  Huseyin Baris Atakan; Matteo Cornaglia; Laurent Mouchiroud; Johan Auwerx; Martin A M Gijs
Journal:  Lab Chip       Date:  2018-12-18       Impact factor: 6.799

2.  WormBot, an open-source robotics platform for survival and behavior analysis in C. elegans.

Authors:  Jason N Pitt; Nolan L Strait; Elena M Vayndorf; Benjamin W Blue; Christina H Tran; Brendon E M Davis; Karen Huang; Brock J Johnson; Keong Mu Lim; Sophie Liu; Arash Nikjoo; Anuj Vaid; Judy Z Wu; Matt Kaeberlein
Journal:  Geroscience       Date:  2019-11-14       Impact factor: 7.713

3.  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

4.  Effects of early geometric confinement on the transcriptomic profile of human cerebral organoids.

Authors:  Dilara Sen; Alexis Voulgaropoulos; Albert J Keung
Journal:  BMC Biotechnol       Date:  2021-10-12       Impact factor: 2.563

5.  Applying C. elegans to the Industrial Drug Discovery Process to Slow Aging.

Authors:  David Weinkove; Giulia Zavagno
Journal:  Front Aging       Date:  2021-10-19

6.  Automated Platform for Long-Term Culture and High-Content Phenotyping of Single C. elegans Worms.

Authors:  H B Atakan; R Xiang; M Cornaglia; L Mouchiroud; E Katsyuba; J Auwerx; M A M Gijs
Journal:  Sci Rep       Date:  2019-10-04       Impact factor: 4.379

7.  Deep learning-enabled analysis reveals distinct neuronal phenotypes induced by aging and cold-shock.

Authors:  Sahand Saberi-Bosari; Kevin B Flores; Adriana San-Miguel
Journal:  BMC Biol       Date:  2020-09-23       Impact factor: 7.431

8.  A Deep Learning Analysis Reveals Nitrogen-Doped Graphene Quantum Dots Damage Neurons of Nematode Caenorhabditis elegans.

Authors:  Hongsheng Xu; Xinyu Wang; Xiaomeng Zhang; Jin Cheng; Jixiang Zhang; Min Chen; Tianshu Wu
Journal:  Nanomaterials (Basel)       Date:  2021-12-07       Impact factor: 5.076

  8 in total

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