Automated three-dimensional reconstruction of the Caenorhabditis elegans germline
Gopal, Sandeep LU
; Boag, Peter
and Pocock, Roger
(2017)
In Developmental Biology
432(2).
p.222-228
- Abstract
The Caenorhabditis elegans germline is widely used as a model to study stem cell development, chromosome dynamics and apoptosis. Major readouts of germline phenotypes such as cell counting and protein expression profiling are routinely analyzed manually and in a two-dimensional manner. The major disadvantages of the existing approaches are 1) they are time-consuming and laborious and 2) there is an inability to study the effects of genetic mutations in three dimensions. Here, we demonstrate a rapid, automated method for analyzing the three-dimensional distribution of proteins, germline nuclei and cytoskeletal structures in the C. elegans germline. Using this method, we have revealed previously unappreciated germline organization and... (More)
The Caenorhabditis elegans germline is widely used as a model to study stem cell development, chromosome dynamics and apoptosis. Major readouts of germline phenotypes such as cell counting and protein expression profiling are routinely analyzed manually and in a two-dimensional manner. The major disadvantages of the existing approaches are 1) they are time-consuming and laborious and 2) there is an inability to study the effects of genetic mutations in three dimensions. Here, we demonstrate a rapid, automated method for analyzing the three-dimensional distribution of proteins, germline nuclei and cytoskeletal structures in the C. elegans germline. Using this method, we have revealed previously unappreciated germline organization and cytoskeletal structures that will have a major impact on the characterization of germline phenotypes. To conclude, our new method dramatically enhances the efficiency and resolution of C. elegans germline analysis and may be applied to other cellular structures.
(Less)
- author
- Gopal, Sandeep
LU
; Boag, Peter
and Pocock, Roger
- publishing date
- 2017
- type
- Contribution to journal
- publication status
- published
- keywords
- Animals, Caenorhabditis elegans/genetics, Caenorhabditis elegans Proteins/metabolism, Cell Differentiation, Germ Cells/metabolism, Imaging, Three-Dimensional/methods, Pattern Recognition, Automated/methods
- in
- Developmental Biology
- volume
- 432
- issue
- 2
- pages
- 222 - 228
- publisher
- Elsevier
- external identifiers
-
- pmid:29079422
- scopus:85035054297
- ISSN
- 1095-564X
- DOI
- 10.1016/j.ydbio.2017.10.004
- language
- English
- LU publication?
- no
- additional info
- Copyright © 2017 Elsevier Inc. All rights reserved.
- id
- a0076dbd-d126-4ea2-ac00-66ce22cbd763
- date added to LUP
- 2021-10-25 13:09:08
- date last changed
- 2024-06-15 19:40:27
@article{a0076dbd-d126-4ea2-ac00-66ce22cbd763,
abstract = {{<p>The Caenorhabditis elegans germline is widely used as a model to study stem cell development, chromosome dynamics and apoptosis. Major readouts of germline phenotypes such as cell counting and protein expression profiling are routinely analyzed manually and in a two-dimensional manner. The major disadvantages of the existing approaches are 1) they are time-consuming and laborious and 2) there is an inability to study the effects of genetic mutations in three dimensions. Here, we demonstrate a rapid, automated method for analyzing the three-dimensional distribution of proteins, germline nuclei and cytoskeletal structures in the C. elegans germline. Using this method, we have revealed previously unappreciated germline organization and cytoskeletal structures that will have a major impact on the characterization of germline phenotypes. To conclude, our new method dramatically enhances the efficiency and resolution of C. elegans germline analysis and may be applied to other cellular structures.</p>}},
author = {{Gopal, Sandeep and Boag, Peter and Pocock, Roger}},
issn = {{1095-564X}},
keywords = {{Animals; Caenorhabditis elegans/genetics; Caenorhabditis elegans Proteins/metabolism; Cell Differentiation; Germ Cells/metabolism; Imaging, Three-Dimensional/methods; Pattern Recognition, Automated/methods}},
language = {{eng}},
number = {{2}},
pages = {{222--228}},
publisher = {{Elsevier}},
series = {{Developmental Biology}},
title = {{Automated three-dimensional reconstruction of the Caenorhabditis elegans germline}},
url = {{http://dx.doi.org/10.1016/j.ydbio.2017.10.004}},
doi = {{10.1016/j.ydbio.2017.10.004}},
volume = {{432}},
year = {{2017}},
}