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High-throughput functional analysis of regulatory variants using a massively parallel reporter assay
Association studies describe genetic associations between noncoding variants and disease susceptibility; however, they do not provide functional insight into the underlying molecular mechanisms of these variants. We present a protocol to assay the regulatory potential of thousands of noncoding varia...
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Published in: | STAR protocols 2023-12, Vol.4 (4), p.102731-102731, Article 102731 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Association studies describe genetic associations between noncoding variants and disease susceptibility; however, they do not provide functional insight into the underlying molecular mechanisms of these variants. We present a protocol to assay the regulatory potential of thousands of noncoding variants using massively parallel reporter assays. We describe steps for oligo design, generating a plasmid pool, and extracting tag-seq libraries from cells to quantify the tested sequences.
For complete details on the use and execution of this protocol, please refer to Oliveros and Delfosse et al.1
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•Key steps for performing massively parallel reporter assays (MPRAs)•Protocol for high-throughput cloning, transfection, and MPRA library preparation•MPRA design to assay thousands of regulatory regions and/or genetic variants
Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
Association studies describe genetic associations between noncoding variants and disease susceptibility; however, they do not provide functional insight into the underlying molecular mechanisms of these variants. We present a protocol to assay the regulatory potential of thousands of noncoding variants using massively parallel reporter assays. We describe steps for oligo design, generating a plasmid pool, and extracting tag-seq libraries from cells to quantify the tested sequences. |
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ISSN: | 2666-1667 2666-1667 |
DOI: | 10.1016/j.xpro.2023.102731 |