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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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Formato: | Texto |
Lenguaje: | English |
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Libertas Academica
2008
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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. |
format | Text |
id | pubmed-2735952 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
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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