FMAj: a tool for high content analysis of muscle dynamics in Drosophila metamorphosis

Background: During metamorphosis in Drosophila melanogaster, larval muscles undergo two different developmental fates; one population is removed by cell death, while the other persistent subset undergoes morphological remodeling and survives to adulthood. Thanks to the ability to perform live imagi...

Full description

Saved in:
Bibliographic Details
Main Authors: Puah, Wee Choo, Kuleesha, Yadav, Lin, Feng, Wasser, Martin
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2015
Online Access:https://hdl.handle.net/10356/99459
http://hdl.handle.net/10220/38546
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-99459
record_format dspace
spelling sg-ntu-dr.10356-994592022-02-16T16:27:01Z FMAj: a tool for high content analysis of muscle dynamics in Drosophila metamorphosis Puah, Wee Choo Kuleesha, Yadav Lin, Feng Wasser, Martin School of Computer Engineering Background: During metamorphosis in Drosophila melanogaster, larval muscles undergo two different developmental fates; one population is removed by cell death, while the other persistent subset undergoes morphological remodeling and survives to adulthood. Thanks to the ability to perform live imaging of muscle development in transparent pupae and the power of genetics, metamorphosis in Drosophila can be used as a model to study the regulation of skeletal muscle mass. However, time-lapse microscopy generates sizeable image data that require new tools for high throughput image analysis. Results: We performed targeted gene perturbation in muscles and acquired 3D time-series images of muscles in metamorphosis using laser scanning confocal microscopy. To quantify the phenotypic effects of gene perturbations, we designed the Fly Muscle Analysis tool (FMAj) which is based on the ImageJ and MySQL frameworks for image processing and data storage, respectively. The image analysis pipeline of FMAj contains three modules. The first module assists in adding annotations to time-lapse datasets, such as genotypes, experimental parameters and temporal reference points, which are used to compare different datasets. The second module performs segmentation and feature extraction of muscle cells and nuclei. Users can provide annotations to the detected objects, such as muscle identities and anatomical information. The third module performs comparative quantitative analysis of muscle phenotypes. We applied our tool to the phenotypic characterization of two atrophy related genes that were silenced by RNA interference. Reduction of Drosophila Tor (Target of Rapamycin) expression resulted in enhanced atrophy compared to control, while inhibition of the autophagy factor Atg9 caused suppression of atrophy and enlarged muscle fibers of abnormal morphology. FMAj enabled us to monitor the progression of atrophic and hypertrophic phenotypes of individual muscles throughout metamorphosis. Conclusions: We designed a new tool to visualize and quantify morphological changes of muscles in time-lapse images of Drosophila metamorphosis. Our in vivo imaging experiments revealed that evolutionarily conserved genes involved in Tor signalling and autophagy, perform similar functions in regulating muscle mass in mammals and Drosophila. Extending our approach to a genome-wide scale has the potential to identify new genes involved in muscle size regulation. ASTAR (Agency for Sci., Tech. and Research, S’pore) Published version 2015-09-03T02:05:43Z 2019-12-06T20:07:44Z 2015-09-03T02:05:43Z 2019-12-06T20:07:44Z 2015 2015 Journal Article Kuleesha, Y., Puah, W. C., Lin, F., & Wasser, M. (2014). FMAj: a tool for high content analysis of muscle dynamics in Drosophila metamorphosis. BMC Bioinformatics, 15(Suppl 16), S6-. 1471-2105 https://hdl.handle.net/10356/99459 http://hdl.handle.net/10220/38546 10.1186/1471-2105-15-S16-S6 25521203 en BMC Bioinformatics © 2014 Kuleesha et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. 15 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
description Background: During metamorphosis in Drosophila melanogaster, larval muscles undergo two different developmental fates; one population is removed by cell death, while the other persistent subset undergoes morphological remodeling and survives to adulthood. Thanks to the ability to perform live imaging of muscle development in transparent pupae and the power of genetics, metamorphosis in Drosophila can be used as a model to study the regulation of skeletal muscle mass. However, time-lapse microscopy generates sizeable image data that require new tools for high throughput image analysis. Results: We performed targeted gene perturbation in muscles and acquired 3D time-series images of muscles in metamorphosis using laser scanning confocal microscopy. To quantify the phenotypic effects of gene perturbations, we designed the Fly Muscle Analysis tool (FMAj) which is based on the ImageJ and MySQL frameworks for image processing and data storage, respectively. The image analysis pipeline of FMAj contains three modules. The first module assists in adding annotations to time-lapse datasets, such as genotypes, experimental parameters and temporal reference points, which are used to compare different datasets. The second module performs segmentation and feature extraction of muscle cells and nuclei. Users can provide annotations to the detected objects, such as muscle identities and anatomical information. The third module performs comparative quantitative analysis of muscle phenotypes. We applied our tool to the phenotypic characterization of two atrophy related genes that were silenced by RNA interference. Reduction of Drosophila Tor (Target of Rapamycin) expression resulted in enhanced atrophy compared to control, while inhibition of the autophagy factor Atg9 caused suppression of atrophy and enlarged muscle fibers of abnormal morphology. FMAj enabled us to monitor the progression of atrophic and hypertrophic phenotypes of individual muscles throughout metamorphosis. Conclusions: We designed a new tool to visualize and quantify morphological changes of muscles in time-lapse images of Drosophila metamorphosis. Our in vivo imaging experiments revealed that evolutionarily conserved genes involved in Tor signalling and autophagy, perform similar functions in regulating muscle mass in mammals and Drosophila. Extending our approach to a genome-wide scale has the potential to identify new genes involved in muscle size regulation.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Puah, Wee Choo
Kuleesha, Yadav
Lin, Feng
Wasser, Martin
format Article
author Puah, Wee Choo
Kuleesha, Yadav
Lin, Feng
Wasser, Martin
spellingShingle Puah, Wee Choo
Kuleesha, Yadav
Lin, Feng
Wasser, Martin
FMAj: a tool for high content analysis of muscle dynamics in Drosophila metamorphosis
author_sort Puah, Wee Choo
title FMAj: a tool for high content analysis of muscle dynamics in Drosophila metamorphosis
title_short FMAj: a tool for high content analysis of muscle dynamics in Drosophila metamorphosis
title_full FMAj: a tool for high content analysis of muscle dynamics in Drosophila metamorphosis
title_fullStr FMAj: a tool for high content analysis of muscle dynamics in Drosophila metamorphosis
title_full_unstemmed FMAj: a tool for high content analysis of muscle dynamics in Drosophila metamorphosis
title_sort fmaj: a tool for high content analysis of muscle dynamics in drosophila metamorphosis
publishDate 2015
url https://hdl.handle.net/10356/99459
http://hdl.handle.net/10220/38546
_version_ 1725985547160125440