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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2015
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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. |
format | Online Article Text |
id | pubmed-4602060 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
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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