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A rigorous method for multigenic families' functional annotation: the peptidyl arginine deiminase (PADs) proteins family example

BACKGROUND: large scale and reliable proteins' functional annotation is a major challenge in modern biology. Phylogenetic analyses have been shown to be important for such tasks. However, up to now, phylogenetic annotation did not take into account expression data (i.e. ESTs, Microarrays, SAGE,...

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Autores principales: Balandraud, N, Gouret, P, Danchin, EGJ, Blanc, M, Zinn, D, Roudier, J, Pontarotti, P
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1310624/
https://www.ncbi.nlm.nih.gov/pubmed/16271148
http://dx.doi.org/10.1186/1471-2164-6-153
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author Balandraud, N
Gouret, P
Danchin, EGJ
Blanc, M
Zinn, D
Roudier, J
Pontarotti, P
author_facet Balandraud, N
Gouret, P
Danchin, EGJ
Blanc, M
Zinn, D
Roudier, J
Pontarotti, P
author_sort Balandraud, N
collection PubMed
description BACKGROUND: large scale and reliable proteins' functional annotation is a major challenge in modern biology. Phylogenetic analyses have been shown to be important for such tasks. However, up to now, phylogenetic annotation did not take into account expression data (i.e. ESTs, Microarrays, SAGE, ...). Therefore, integrating such data, like ESTs in phylogenetic annotation could be a major advance in post genomic analyses. We developed an approach enabling the combination of expression data and phylogenetic analysis. To illustrate our method, we used an example protein family, the peptidyl arginine deiminases (PADs), probably implied in Rheumatoid Arthritis. RESULTS: the analysis was performed as follows: we built a phylogeny of PAD proteins from the NCBI's NR protein database. We completed the phylogenetic reconstruction of PADs using an enlarged sequence database containing translations of ESTs contigs. We then extracted all corresponding expression data contained in EST database This analysis allowed us 1/To extend the spectrum of homologs-containing species and to improve the reconstruction of genes' evolutionary history. 2/To deduce an accurate gene expression pattern for each member of this protein family. 3/To show a correlation between paralogous sequences' evolution rate and pattern of tissular expression. CONCLUSION: coupling phylogenetic reconstruction and expression data is a promising way of analysis that could be applied to all multigenic families to investigate the relationship between molecular and transcriptional evolution and to improve functional annotation.
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spelling pubmed-13106242005-12-10 A rigorous method for multigenic families' functional annotation: the peptidyl arginine deiminase (PADs) proteins family example Balandraud, N Gouret, P Danchin, EGJ Blanc, M Zinn, D Roudier, J Pontarotti, P BMC Genomics Methodology Article BACKGROUND: large scale and reliable proteins' functional annotation is a major challenge in modern biology. Phylogenetic analyses have been shown to be important for such tasks. However, up to now, phylogenetic annotation did not take into account expression data (i.e. ESTs, Microarrays, SAGE, ...). Therefore, integrating such data, like ESTs in phylogenetic annotation could be a major advance in post genomic analyses. We developed an approach enabling the combination of expression data and phylogenetic analysis. To illustrate our method, we used an example protein family, the peptidyl arginine deiminases (PADs), probably implied in Rheumatoid Arthritis. RESULTS: the analysis was performed as follows: we built a phylogeny of PAD proteins from the NCBI's NR protein database. We completed the phylogenetic reconstruction of PADs using an enlarged sequence database containing translations of ESTs contigs. We then extracted all corresponding expression data contained in EST database This analysis allowed us 1/To extend the spectrum of homologs-containing species and to improve the reconstruction of genes' evolutionary history. 2/To deduce an accurate gene expression pattern for each member of this protein family. 3/To show a correlation between paralogous sequences' evolution rate and pattern of tissular expression. CONCLUSION: coupling phylogenetic reconstruction and expression data is a promising way of analysis that could be applied to all multigenic families to investigate the relationship between molecular and transcriptional evolution and to improve functional annotation. BioMed Central 2005-11-04 /pmc/articles/PMC1310624/ /pubmed/16271148 http://dx.doi.org/10.1186/1471-2164-6-153 Text en Copyright © 2005 Balandraud et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology Article
Balandraud, N
Gouret, P
Danchin, EGJ
Blanc, M
Zinn, D
Roudier, J
Pontarotti, P
A rigorous method for multigenic families' functional annotation: the peptidyl arginine deiminase (PADs) proteins family example
title A rigorous method for multigenic families' functional annotation: the peptidyl arginine deiminase (PADs) proteins family example
title_full A rigorous method for multigenic families' functional annotation: the peptidyl arginine deiminase (PADs) proteins family example
title_fullStr A rigorous method for multigenic families' functional annotation: the peptidyl arginine deiminase (PADs) proteins family example
title_full_unstemmed A rigorous method for multigenic families' functional annotation: the peptidyl arginine deiminase (PADs) proteins family example
title_short A rigorous method for multigenic families' functional annotation: the peptidyl arginine deiminase (PADs) proteins family example
title_sort rigorous method for multigenic families' functional annotation: the peptidyl arginine deiminase (pads) proteins family example
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1310624/
https://www.ncbi.nlm.nih.gov/pubmed/16271148
http://dx.doi.org/10.1186/1471-2164-6-153
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