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Review

Massively parallel reporter assay: a novel technique for analyzing the regulation of gene expression

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  • 1. Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, China
    2. Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, China
    3. College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China

Received date: 2023-07-03

  Revised date: 2023-09-30

  Online published: 2023-10-07

Supported by

National Key Research and Development Program of China(2022YFF1000201);National Natural Science Foundation of China(31572394);China Agriculture Research System of MOF and MARA(CARS-41);Joint Guidance Project of Heilongjiang Natural Science Foundation(LH2021C036)

Abstract

Massively parallel reporter assay (MPRA) is a high-throughput analysis method that can simultaneously investigate the activity of thousands of regulatory elements in the genome. MPRA introduces a uniquely identified barcode on a conventional luciferase reporter gene vector, sequences the DNA barcode before transfection and the mRNA barcode after transfection by next-generation sequencing technology, and uses the ratio of mRNA and DNA barcode reads to analyze the activity of cis-regulatory elements. Since MPRA was proposed, it has been widely used in the identification of genomic cis-regulatory elements and functional variants, the effect of post-transcriptional regulation on phenotypes and so on. In this review, we summarize the development history, basic principles, experimental procedures and statistical analysis methods of MPRA, and its applications in post-transcriptional regulation and cis-regulatory elements. It also provides prospects for its development and useful references for researchers in related fields to understand and apply MPRA.

Cite this article

Meng Yuan, Hui Li, Shouzhi Wang . Massively parallel reporter assay: a novel technique for analyzing the regulation of gene expression[J]. Hereditas(Beijing), 2023 , 45(10) : 859 -873 . DOI: 10.16288/j.yczz.23-180

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