Leveraging massively parallel reporter assays for evolutionary questions
Journal article
Gallego Romero, Irene and Lea, Amanda J.. (2023). Leveraging massively parallel reporter assays for evolutionary questions. Genome Biology. 24(1), p. Article 26. https://doi.org/10.1186/s13059-023-02856-6
Authors | Gallego Romero, Irene and Lea, Amanda J. |
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Abstract | A long-standing goal of evolutionary biology is to decode how gene regulation contributes to organismal diversity. Doing so is challenging because it is hard to predict function from non-coding sequence and to perform molecular research with non-model taxa. Massively parallel reporter assays (MPRAs) enable the testing of thousands to millions of sequences for regulatory activity simultaneously. Here, we discuss the execution, advantages, and limitations of MPRAs, with a focus on evolutionary questions. We propose solutions for extending MPRAs to rare taxa and those with limited genomic resources, and we underscore MPRA’s broad potential for driving genome-scale, functional studies across organisms. |
Year | 2023 |
Journal | Genome Biology |
Journal citation | 24 (1), p. Article 26 |
Publisher | Biomed Central Ltd |
ISSN | 1474-760X |
Digital Object Identifier (DOI) | https://doi.org/10.1186/s13059-023-02856-6 |
PubMed ID | 36788564 |
Scopus EID | 2-s2.0-85148086045 |
PubMed Central ID | PMC9926830 |
Open access | Published as ‘gold’ (paid) open access |
Page range | 1-18 |
Funder | Vanderbilt University |
Searle Scholars Program | |
National Institutes of Health (NIH), United States of America | |
Australian Research Council (ARC) | |
Publisher's version | License File Access Level Open |
Output status | Published |
Publication dates | |
Online | 14 Feb 2023 |
Publication process dates | |
Accepted | 17 Jan 2023 |
Deposited | 03 Apr 2025 |
ARC Funded Research | This output has been funded, wholly or partially, under the Australian Research Council Act 2001 |
Grant ID | R35GM147267 |
DP200101552 | |
Additional information | © The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
https://acuresearchbank.acu.edu.au/item/918zx/leveraging-massively-parallel-reporter-assays-for-evolutionary-questions
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Publisher's version
OA_Gallego_2023_Leveraging_massively_parallel_reporter_assays_for.pdf | |
License: CC BY 4.0 | |
File access level: Open |
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