Literature DB >> 34150931

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

Elissa Tjahjono1, Alexey V Revtovich1, Natalia V Kirienko1.   

Abstract

Gene activation and cellular biomarkers are commonly monitored using fluorescent signals from transgenic reporters or dyes. These quantifiable markers are critical for biological research and serve as an incredibly powerful tool, even more so when combined with high-throughput screening. Caenorhabditis elegans is a particularly useful model in this regard, as it is inexpensive to grow in vast numbers, has a rapid generation time, is optically transparent, and can readily fit within 384-well plates. However, fluorescence quantification in worms is often cumbersome. Quantification is frequently performed using laborious, low-throughput, bias-prone methods that measure fluorescence in a comparatively small number of individual worms. Here we describe two methods, flow vermimetry using a COPAS BioSorter and an automated imaging platform and analysis pipeline using a Cytation5 multimode plate reader and image analysis software, that enable high-throughput, high-content screening in C. elegans. Flow vermimetry provides a better signal-to-noise ratio with fewer processing steps, while the Cytation5 provides a convenient platform to image samples across time. Fluorescence values from the two methods show strong correlation. Either method can be easily extended to include other parameters, such as the measurement of various metabolites, worm viability, and other aspects of cell physiology. This broadens the utility of the system and allows it to be used for a wide range of molecular biological purposes.
Copyright © 2021 The Authors; exclusive licensee Bio-protocol LLC.

Entities:  

Keywords:  C. elegans; Dye; Flow vermimetry; Fluorescence; High-throughput screening; Imaging; Microscope; Reporter

Year:  2021        PMID: 34150931      PMCID: PMC8187112          DOI: 10.21769/BioProtoc.4024

Source DB:  PubMed          Journal:  Bio Protoc        ISSN: 2331-8325


  27 in total

1.  Morphology-guided graph search for untangling objects: C. elegans analysis.

Authors:  Tammy Riklin Raviv; V Ljosa; A L Conery; F M Ausubel; A E Carpenter; P Golland; C Wählby
Journal:  Med Image Comput Comput Assist Interv       Date:  2010

2.  High-throughput screening of small molecules for bioactivity and target identification in Caenorhabditis elegans.

Authors:  Andrew R Burns; Trevor C Y Kwok; Al Howard; Ed Houston; Karl Johanson; Anthony Chan; Sean R Cutler; Peter McCourt; Peter J Roy
Journal:  Nat Protoc       Date:  2006       Impact factor: 13.491

3.  High-throughput screening for novel anti-infectives using a C. elegans pathogenesis model.

Authors:  Annie L Conery; Jonah Larkins-Ford; Frederick M Ausubel; Natalia V Kirienko
Journal:  Curr Protoc Chem Biol       Date:  2014-03-14

4.  A High-throughput, High-content, Liquid-based C. elegans Pathosystem.

Authors:  Quinton L Anderson; Alexey V Revtovich; Natalia V Kirienko
Journal:  J Vis Exp       Date:  2018-07-01       Impact factor: 1.355

5.  Systematic functional analysis of the Caenorhabditis elegans genome using RNAi.

Authors:  Ravi S Kamath; Andrew G Fraser; Yan Dong; Gino Poulin; Richard Durbin; Monica Gotta; Alexander Kanapin; Nathalie Le Bot; Sergio Moreno; Marc Sohrmann; David P Welchman; Peder Zipperlen; Julie Ahringer
Journal:  Nature       Date:  2003-01-16       Impact factor: 49.962

6.  An image analysis toolbox for high-throughput C. elegans assays.

Authors:  Carolina Wählby; Lee Kamentsky; Zihan H Liu; Tammy Riklin-Raviv; Annie L Conery; Eyleen J O'Rourke; Katherine L Sokolnicki; Orane Visvikis; Vebjorn Ljosa; Javier E Irazoqui; Polina Golland; Gary Ruvkun; Frederick M Ausubel; Anne E Carpenter
Journal:  Nat Methods       Date:  2012-04-22       Impact factor: 28.547

7.  Quantitative and automated high-throughput genome-wide RNAi screens in C. elegans.

Authors:  Barbara Squiban; Jérôme Belougne; Jonathan Ewbank; Olivier Zugasti
Journal:  J Vis Exp       Date:  2012-02-27       Impact factor: 1.355

8.  A conserved mitochondrial surveillance pathway is required for defense against Pseudomonas aeruginosa.

Authors:  Elissa Tjahjono; Natalia V Kirienko
Journal:  PLoS Genet       Date:  2017-06-29       Impact factor: 5.917

9.  Pyoverdine, a siderophore from Pseudomonas aeruginosa, translocates into C. elegans, removes iron, and activates a distinct host response.

Authors:  Donghoon Kang; Daniel R Kirienko; Phillip Webster; Alfred L Fisher; Natalia V Kirienko
Journal:  Virulence       Date:  2018-12-31       Impact factor: 5.882

10.  Fluorescence microscopy image noise reduction using a stochastically-connected random field model.

Authors:  S A Haider; A Cameron; P Siva; D Lui; M J Shafiee; A Boroomand; N Haider; A Wong
Journal:  Sci Rep       Date:  2016-02-17       Impact factor: 4.379

View more
  1 in total

1.  Box C/D small nucleolar ribonucleoproteins regulate mitochondrial surveillance and innate immunity.

Authors:  Elissa Tjahjono; Alexey V Revtovich; Natalia V Kirienko
Journal:  PLoS Genet       Date:  2022-03-11       Impact factor: 5.917

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.