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Sentinel interaction mapping – a generic approach for the functional analysis of human disease gene variants using yeast
Advances in sequencing technology have led to an explosion in the number of known genetic variants of human genes. A major challenge is to now determine which of these variants contribute to diseases as a result of their effect on gene function. Here, we describe a generic approach using the yeast S...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Company of Biologists Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358137/ https://www.ncbi.nlm.nih.gov/pubmed/32471850 http://dx.doi.org/10.1242/dmm.044560 |
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author | Young, Barry P. Post, Kathryn L. Chao, Jesse T. Meili, Fabian Haas, Kurt Loewen, Christopher |
author_facet | Young, Barry P. Post, Kathryn L. Chao, Jesse T. Meili, Fabian Haas, Kurt Loewen, Christopher |
author_sort | Young, Barry P. |
collection | PubMed |
description | Advances in sequencing technology have led to an explosion in the number of known genetic variants of human genes. A major challenge is to now determine which of these variants contribute to diseases as a result of their effect on gene function. Here, we describe a generic approach using the yeast Saccharomyces cerevisiae to quickly develop gene-specific in vivo assays that can be used to quantify the level of function of a genetic variant. Using synthetic dosage lethality screening, ‘sentinel’ yeast strains are identified that are sensitive to overexpression of a human disease gene. Variants of the gene can then be functionalized in a high-throughput fashion through simple growth assays using solid or liquid media. Sentinel interaction mapping (SIM) has the potential to create functional assays for the large majority of human disease genes that do not have a yeast orthologue. Using the tumour suppressor gene PTEN as an example, we show that SIM assays can provide a fast and economical means to screen a large number of genetic variants. |
format | Online Article Text |
id | pubmed-7358137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Company of Biologists Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-73581372020-07-14 Sentinel interaction mapping – a generic approach for the functional analysis of human disease gene variants using yeast Young, Barry P. Post, Kathryn L. Chao, Jesse T. Meili, Fabian Haas, Kurt Loewen, Christopher Dis Model Mech Resource Article Advances in sequencing technology have led to an explosion in the number of known genetic variants of human genes. A major challenge is to now determine which of these variants contribute to diseases as a result of their effect on gene function. Here, we describe a generic approach using the yeast Saccharomyces cerevisiae to quickly develop gene-specific in vivo assays that can be used to quantify the level of function of a genetic variant. Using synthetic dosage lethality screening, ‘sentinel’ yeast strains are identified that are sensitive to overexpression of a human disease gene. Variants of the gene can then be functionalized in a high-throughput fashion through simple growth assays using solid or liquid media. Sentinel interaction mapping (SIM) has the potential to create functional assays for the large majority of human disease genes that do not have a yeast orthologue. Using the tumour suppressor gene PTEN as an example, we show that SIM assays can provide a fast and economical means to screen a large number of genetic variants. The Company of Biologists Ltd 2020-07-08 /pmc/articles/PMC7358137/ /pubmed/32471850 http://dx.doi.org/10.1242/dmm.044560 Text en © 2020. Published by The Company of Biologists Ltd http://creativecommons.org/licenses/by/4.0This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Resource Article Young, Barry P. Post, Kathryn L. Chao, Jesse T. Meili, Fabian Haas, Kurt Loewen, Christopher Sentinel interaction mapping – a generic approach for the functional analysis of human disease gene variants using yeast |
title | Sentinel interaction mapping – a generic approach for the functional analysis of human disease gene variants using yeast |
title_full | Sentinel interaction mapping – a generic approach for the functional analysis of human disease gene variants using yeast |
title_fullStr | Sentinel interaction mapping – a generic approach for the functional analysis of human disease gene variants using yeast |
title_full_unstemmed | Sentinel interaction mapping – a generic approach for the functional analysis of human disease gene variants using yeast |
title_short | Sentinel interaction mapping – a generic approach for the functional analysis of human disease gene variants using yeast |
title_sort | sentinel interaction mapping – a generic approach for the functional analysis of human disease gene variants using yeast |
topic | Resource Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358137/ https://www.ncbi.nlm.nih.gov/pubmed/32471850 http://dx.doi.org/10.1242/dmm.044560 |
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