4.8 Article

A systematic evaluation of the design and context dependencies of massively parallel reporter assays

Journal

NATURE METHODS
Volume 17, Issue 11, Pages 1083-+

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41592-020-0965-y

Keywords

-

Funding

  1. National Human Genome Research Institute [1UM1HG009408, 5R01HG009136, 1R21HG010065, 1R21HG010683, 5F30HG009479]
  2. National Institute of Mental Health [1R01MH109907, 1U01MH116438]
  3. NRSA National Institutes of Health fellowship [5T32HL007093]
  4. Uehara Memorial Foundation

Ask authors/readers for more resources

Massively parallel reporter assays (MPRAs) functionally screen thousands of sequences for regulatory activity in parallel. To date, there are limited studies that systematically compare differences in MPRA design. Here, we screen a library of 2,440 candidate liver enhancers and controls for regulatory activity in HepG2 cells using nine different MPRA designs. We identify subtle but significant differences that correlate with epigenetic and sequence-level features, as well as differences in dynamic range and reproducibility. We also validate that enhancer activity is largely independent of orientation, at least for our library and designs. Finally, we assemble and test the same enhancers as 192-mers, 354-mers and 678-mers and observe sizable differences. This work provides a framework for the experimental design of high-throughput reporter assays, suggesting that the extended sequence context of tested elements and to a lesser degree the precise assay, influence MPRA results. Massively parallel reporter assays (MPRAs) enable high-throughput assessments of regulatory elements in single experiments. This work compares nine MPRA designs and reports how differences in reporter assays influence the results of MPRAs.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available