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The Homeobox Genes of Caenorhabditis elegans and Insights into Their Spatio-Temporal Expression Dynamics during Embryogenesis
Södertörn University, School of Natural Sciences, Technology and Environmental Studies. Karolinska Institutet.
Södertörn University, School of Natural Sciences, Technology and Environmental Studies. Karolinska Instiututet.
Södertörn University, School of Natural Sciences, Technology and Environmental Studies. Karolinska Institutet.
Södertörn University, School of Natural Sciences, Technology and Environmental Studies. Karolinska Instiutetet.
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2015 (English)In: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 10, no 5, e0126947Article in journal (Refereed) Published
Abstract [en]

Homeobox genes play crucial roles for the development of multicellular eukaryotes. We have generated a revised list of all homeobox genes for Caenorhabditis elegans and provide a nomenclature for the previously unnamed ones. We show that, out of 103 homeobox genes, 70 are co-orthologous to human homeobox genes. 14 are highly divergent, lacking an obvious ortholog even in other Caenorhabditis species. One of these homeobox genes encodes 12 homeodomains, while three other highly divergent homeobox genes encode a novel type of double homeodomain, termed HOCHOB. To understand how transcription factors regulate cell fate during development, precise spatio-temporal expression data need to be obtained. Using a new imaging framework that we developed, Endrov, we have generated spatio-temporal expression profiles during embryogenesis of over 60 homeobox genes, as well as a number of other developmental control genes using GFP reporters. We used dynamic feedback during recording to automatically adjust the camera exposure time in order to increase the dynamic range beyond the limitations of the camera. We have applied the new framework to examine homeobox gene expression patterns and provide an analysis of these patterns. The methods we developed to analyze and quantify expression data are not only suitable for C. elegans, but can be applied to other model systems or even to tissue culture systems.

Place, publisher, year, edition, pages
2015. Vol. 10, no 5, e0126947
National Category
Biological Sciences
Identifiers
URN: urn:nbn:se:sh:diva-27668DOI: 10.1371/journal.pone.0126947PubMedID: 26024448Scopus ID: 2-s2.0-84932606751OAI: oai:DiVA.org:sh-27668DiVA: diva2:818036
Funder
Swedish Research Council, 621-2010-5634Swedish Foundation for Strategic Research Wenner-Gren Foundations
Available from: 2015-06-08 Created: 2015-06-08 Last updated: 2017-07-17Bibliographically approved

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Hench, JürgenHenriksson, JohanAbou-Zied, Akram MLüppert, MartinDethlefsen, JohanMukherjee, KrishanuTong, Yong GuangTang, LoisBürglin, Thomas R
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