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Quality Control Test for Sequence-Phenotype Assignments

Relating a gene mutation to a phenotype is a common task in different disciplines such as protein biochemistry. In this endeavour, it is common to find false relationships arising from mutations introduced by cells that may be depurated using a phenotypic assay; yet, such phenotypic assays may intro...

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Autores principales: Ortiz, Maria Teresa Lara, Rosario, Pablo Benjamín Leon, Luna-Nevarez, Pablo, Gamez, Alba Savin, Martínez-del Campo, Ana, Del Rio, Gabriel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336291/
https://www.ncbi.nlm.nih.gov/pubmed/25700273
http://dx.doi.org/10.1371/journal.pone.0118288
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author Ortiz, Maria Teresa Lara
Rosario, Pablo Benjamín Leon
Luna-Nevarez, Pablo
Gamez, Alba Savin
Martínez-del Campo, Ana
Del Rio, Gabriel
author_facet Ortiz, Maria Teresa Lara
Rosario, Pablo Benjamín Leon
Luna-Nevarez, Pablo
Gamez, Alba Savin
Martínez-del Campo, Ana
Del Rio, Gabriel
author_sort Ortiz, Maria Teresa Lara
collection PubMed
description Relating a gene mutation to a phenotype is a common task in different disciplines such as protein biochemistry. In this endeavour, it is common to find false relationships arising from mutations introduced by cells that may be depurated using a phenotypic assay; yet, such phenotypic assays may introduce additional false relationships arising from experimental errors. Here we introduce the use of high-throughput DNA sequencers and statistical analysis aimed to identify incorrect DNA sequence-phenotype assignments and observed that 10–20% of these false assignments are expected in large screenings aimed to identify critical residues for protein function. We further show that this level of incorrect DNA sequence-phenotype assignments may significantly alter our understanding about the structure-function relationship of proteins. We have made available an implementation of our method at http://bis.ifc.unam.mx/en/software/chispas.
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spelling pubmed-43362912015-02-24 Quality Control Test for Sequence-Phenotype Assignments Ortiz, Maria Teresa Lara Rosario, Pablo Benjamín Leon Luna-Nevarez, Pablo Gamez, Alba Savin Martínez-del Campo, Ana Del Rio, Gabriel PLoS One Research Article Relating a gene mutation to a phenotype is a common task in different disciplines such as protein biochemistry. In this endeavour, it is common to find false relationships arising from mutations introduced by cells that may be depurated using a phenotypic assay; yet, such phenotypic assays may introduce additional false relationships arising from experimental errors. Here we introduce the use of high-throughput DNA sequencers and statistical analysis aimed to identify incorrect DNA sequence-phenotype assignments and observed that 10–20% of these false assignments are expected in large screenings aimed to identify critical residues for protein function. We further show that this level of incorrect DNA sequence-phenotype assignments may significantly alter our understanding about the structure-function relationship of proteins. We have made available an implementation of our method at http://bis.ifc.unam.mx/en/software/chispas. Public Library of Science 2015-02-20 /pmc/articles/PMC4336291/ /pubmed/25700273 http://dx.doi.org/10.1371/journal.pone.0118288 Text en © 2015 Ortiz et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Ortiz, Maria Teresa Lara
Rosario, Pablo Benjamín Leon
Luna-Nevarez, Pablo
Gamez, Alba Savin
Martínez-del Campo, Ana
Del Rio, Gabriel
Quality Control Test for Sequence-Phenotype Assignments
title Quality Control Test for Sequence-Phenotype Assignments
title_full Quality Control Test for Sequence-Phenotype Assignments
title_fullStr Quality Control Test for Sequence-Phenotype Assignments
title_full_unstemmed Quality Control Test for Sequence-Phenotype Assignments
title_short Quality Control Test for Sequence-Phenotype Assignments
title_sort quality control test for sequence-phenotype assignments
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336291/
https://www.ncbi.nlm.nih.gov/pubmed/25700273
http://dx.doi.org/10.1371/journal.pone.0118288
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