Literature DB >> 29079422

Automated three-dimensional reconstruction of the Caenorhabditis elegans germline.

Sandeep Gopal1, Peter Boag2, Roger Pocock3.   

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 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.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Actin cytoskeleton; Automated analysis; Caenorhabditis elegans; Germline

Mesh:

Substances:

Year:  2017        PMID: 29079422     DOI: 10.1016/j.ydbio.2017.10.004

Source DB:  PubMed          Journal:  Dev Biol        ISSN: 0012-1606            Impact factor:   3.582


  3 in total

Review 1.  Biology of the Caenorhabditis elegans Germline Stem Cell System.

Authors:  E Jane Albert Hubbard; Tim Schedl
Journal:  Genetics       Date:  2019-12       Impact factor: 4.562

2.  A somatic proteoglycan controls Notch-directed germ cell fate.

Authors:  Sandeep Gopal; Aqilah Amran; Andre Elton; Leelee Ng; Roger Pocock
Journal:  Nat Commun       Date:  2021-11-18       Impact factor: 14.919

3.  Notch-dependent DNA cis-regulatory elements and their dose-dependent control of C. elegans stem cell self-renewal.

Authors:  Tina R Lynch; Mingyu Xue; Cazza W Czerniak; ChangHwan Lee; Judith Kimble
Journal:  Development       Date:  2022-04-08       Impact factor: 6.862

  3 in total

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