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Design tools for MPRA experiments.

Andrew R Ghazi1, Edward S Chen2, David M Henke2

  • 1Department of Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA.

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|July 28, 2018
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Summary
This summary is machine-generated.

A new web tool and R package simplify Massively Parallel Reporter Assays (MPRA) experimental design. This tool aids in power analysis and construct design for gene expression studies, making MPRA more accessible.

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Area of Science:

  • Genomics and Molecular Biology
  • Computational Biology

Background:

  • Genetic reporter assays are vital for studying gene expression regulation.
  • Massively Parallel Reporter Assays (MPRA) offer high-throughput analysis of genetic variants' transcriptional activity.
  • A lack of user-friendly computational tools hinders MPRA study design and execution.

Purpose of the Study:

  • To develop an accessible computational tool for designing Massively Parallel Reporter Assays (MPRA).
  • To provide interactive experimental design capabilities, including power analysis and construct generation.

Main Methods:

  • Developed an online web-tool and an R package for MPRA experimental design.
  • Integrated power analysis and construct design functionalities.
  • Tuned the tool using data from real-world MPRA studies and enabled VCF uploads for automated sequence generation.

Main Results:

  • The developed tool facilitates interactive MPRA experimental design.
  • Users can optimize experimental parameters for predicted assay power.
  • Automated construct sequence generation is supported via VCF file uploads.

Conclusions:

  • The MPRA Design Tools provide a valuable resource for researchers seeking to conduct high-throughput reporter assays.
  • This tool democratizes MPRA study design, enhancing accessibility and efficiency in gene expression research.