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Utility of Computational Methods to Identify the Apoptosis Machinery in Unicellular Eukaryotes

Apoptosis is the phenotypic result of an active, regulated process of self-destruction. Following various cellular insults, apoptosis has been demonstrated in numerous unicellular eukaryotes, but very little is known about the genes and proteins that initiate and execute this process in this group o...

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Detalles Bibliográficos
Autores principales: Durand, Pierre Marcel, Coetzer, Theresa Louise
Formato: Texto
Lenguaje:English
Publicado: Libertas Academica 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2735952/
https://www.ncbi.nlm.nih.gov/pubmed/19812769
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author Durand, Pierre Marcel
Coetzer, Theresa Louise
author_facet Durand, Pierre Marcel
Coetzer, Theresa Louise
author_sort Durand, Pierre Marcel
collection PubMed
description Apoptosis is the phenotypic result of an active, regulated process of self-destruction. Following various cellular insults, apoptosis has been demonstrated in numerous unicellular eukaryotes, but very little is known about the genes and proteins that initiate and execute this process in this group of organisms. A bioinformatic approach presents an array of powerful methods to direct investigators in the identification of the apoptosis machinery in protozoans. In this review, we discuss some of the available computational methods and illustrate how they may be applied using the identification of a Plasmodium falciparum metacaspase gene as an example.
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spelling pubmed-27359522009-09-14 Utility of Computational Methods to Identify the Apoptosis Machinery in Unicellular Eukaryotes Durand, Pierre Marcel Coetzer, Theresa Louise Bioinform Biol Insights Review Apoptosis is the phenotypic result of an active, regulated process of self-destruction. Following various cellular insults, apoptosis has been demonstrated in numerous unicellular eukaryotes, but very little is known about the genes and proteins that initiate and execute this process in this group of organisms. A bioinformatic approach presents an array of powerful methods to direct investigators in the identification of the apoptosis machinery in protozoans. In this review, we discuss some of the available computational methods and illustrate how they may be applied using the identification of a Plasmodium falciparum metacaspase gene as an example. Libertas Academica 2008-03-12 /pmc/articles/PMC2735952/ /pubmed/19812769 Text en Copyright © 2008 The authors. http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Review
Durand, Pierre Marcel
Coetzer, Theresa Louise
Utility of Computational Methods to Identify the Apoptosis Machinery in Unicellular Eukaryotes
title Utility of Computational Methods to Identify the Apoptosis Machinery in Unicellular Eukaryotes
title_full Utility of Computational Methods to Identify the Apoptosis Machinery in Unicellular Eukaryotes
title_fullStr Utility of Computational Methods to Identify the Apoptosis Machinery in Unicellular Eukaryotes
title_full_unstemmed Utility of Computational Methods to Identify the Apoptosis Machinery in Unicellular Eukaryotes
title_short Utility of Computational Methods to Identify the Apoptosis Machinery in Unicellular Eukaryotes
title_sort utility of computational methods to identify the apoptosis machinery in unicellular eukaryotes
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2735952/
https://www.ncbi.nlm.nih.gov/pubmed/19812769
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