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Current strategies for mutation detection in phenotype-driven screens utilising next generation sequencing

Mutagenesis-based screens in mice are a powerful discovery platform to identify novel genes or gene functions associated with disease phenotypes. An N-ethyl-N-nitrosourea (ENU) mutagenesis screen induces single nucleotide variants randomly in the mouse genome. Subsequent phenotyping of mutant and wi...

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Autores principales: Simon, Michelle M., Moresco, Eva Marie Y., Bull, Katherine R., Kumar, Saumya, Mallon, Ann-Marie, Beutler, Bruce, Potter, Paul K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4602060/
https://www.ncbi.nlm.nih.gov/pubmed/26449678
http://dx.doi.org/10.1007/s00335-015-9603-x
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author Simon, Michelle M.
Moresco, Eva Marie Y.
Bull, Katherine R.
Kumar, Saumya
Mallon, Ann-Marie
Beutler, Bruce
Potter, Paul K.
author_facet Simon, Michelle M.
Moresco, Eva Marie Y.
Bull, Katherine R.
Kumar, Saumya
Mallon, Ann-Marie
Beutler, Bruce
Potter, Paul K.
author_sort Simon, Michelle M.
collection PubMed
description Mutagenesis-based screens in mice are a powerful discovery platform to identify novel genes or gene functions associated with disease phenotypes. An N-ethyl-N-nitrosourea (ENU) mutagenesis screen induces single nucleotide variants randomly in the mouse genome. Subsequent phenotyping of mutant and wildtype mice enables the identification of mutated pathways resulting in phenotypes associated with a particular ENU lesion. This unbiased approach to gene discovery conducts the phenotyping with no prior knowledge of the functional mutations. Before the advent of affordable next generation sequencing (NGS), ENU variant identification was a limiting step in gene characterization, akin to ‘finding a needle in a haystack’. The emergence of a reliable reference genome alongside advances in NGS has propelled ENU mutation discovery from an arduous, time-consuming exercise to an effective and rapid form of mutation discovery. This has permitted large mouse facilities worldwide to use ENU for novel mutation discovery in a high-throughput manner, helping to accelerate basic science at the mechanistic level. Here, we describe three different strategies used to identify ENU variants from NGS data and some of the subsequent steps for mutation characterisation.
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spelling pubmed-46020602015-10-16 Current strategies for mutation detection in phenotype-driven screens utilising next generation sequencing Simon, Michelle M. Moresco, Eva Marie Y. Bull, Katherine R. Kumar, Saumya Mallon, Ann-Marie Beutler, Bruce Potter, Paul K. Mamm Genome Article Mutagenesis-based screens in mice are a powerful discovery platform to identify novel genes or gene functions associated with disease phenotypes. An N-ethyl-N-nitrosourea (ENU) mutagenesis screen induces single nucleotide variants randomly in the mouse genome. Subsequent phenotyping of mutant and wildtype mice enables the identification of mutated pathways resulting in phenotypes associated with a particular ENU lesion. This unbiased approach to gene discovery conducts the phenotyping with no prior knowledge of the functional mutations. Before the advent of affordable next generation sequencing (NGS), ENU variant identification was a limiting step in gene characterization, akin to ‘finding a needle in a haystack’. The emergence of a reliable reference genome alongside advances in NGS has propelled ENU mutation discovery from an arduous, time-consuming exercise to an effective and rapid form of mutation discovery. This has permitted large mouse facilities worldwide to use ENU for novel mutation discovery in a high-throughput manner, helping to accelerate basic science at the mechanistic level. Here, we describe three different strategies used to identify ENU variants from NGS data and some of the subsequent steps for mutation characterisation. Springer US 2015-10-08 2015 /pmc/articles/PMC4602060/ /pubmed/26449678 http://dx.doi.org/10.1007/s00335-015-9603-x Text en © The Author(s) 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Simon, Michelle M.
Moresco, Eva Marie Y.
Bull, Katherine R.
Kumar, Saumya
Mallon, Ann-Marie
Beutler, Bruce
Potter, Paul K.
Current strategies for mutation detection in phenotype-driven screens utilising next generation sequencing
title Current strategies for mutation detection in phenotype-driven screens utilising next generation sequencing
title_full Current strategies for mutation detection in phenotype-driven screens utilising next generation sequencing
title_fullStr Current strategies for mutation detection in phenotype-driven screens utilising next generation sequencing
title_full_unstemmed Current strategies for mutation detection in phenotype-driven screens utilising next generation sequencing
title_short Current strategies for mutation detection in phenotype-driven screens utilising next generation sequencing
title_sort current strategies for mutation detection in phenotype-driven screens utilising next generation sequencing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4602060/
https://www.ncbi.nlm.nih.gov/pubmed/26449678
http://dx.doi.org/10.1007/s00335-015-9603-x
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