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 t...
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Published in | Disease models & mechanisms Vol. 13; no. 7 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
England
The Company of Biologists Ltd
08.07.2020
The Company of Biologists |
Subjects | |
Online Access | Get full text |
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Summary: | 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
to quickly develop gene-specific
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
as an example, we show that SIM assays can provide a fast and economical means to screen a large number of genetic variants. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3 Handling Editor: Monica J. Justice |
ISSN: | 1754-8403 1754-8411 |
DOI: | 10.1242/dmm.044560 |