Evidence map›Paper›PMID 33046894›Full record

ArticleNature methods2020

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

Jason C Klein, Vikram Agarwal, Fumitaka Inoue, Aidan Keith, Beth Martin, Martin Kircher, Nadav Ahituv, Jay Shendure

Abstract read
In one paragraph

Article in Nature methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 papers.

0numbers the graph read from it
0cells of the map it votes in
154citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

154 citing papers in PubMed.

  1. Article
  2. Article
  3. UnlockingNAR genomics and bioinformatics · 2026
    Article
  4. Review
  5. Review
  6. Locus-Scale Massively Parallel Reporter Assays.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Massively parallel reporter assays forbioRxiv : the preprint server for biology · 2026
    Article
  19. Article
  20. Article

94 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jason C Klein *Department of Genome Sciences, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-9566-6347
Vikram Agarwal *Department of Genome Sciences, University of Washington, Seattle, WA, USA.
Fumitaka Inoue *Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-0657-434X
Aidan Keith *Department of Genome Sciences, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-2675-5538
Beth MartinDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Martin KircherDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-9278-5471
Nadav AhituvDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA. nadav.ahituv@ucsf.edu.ORCID http://orcid.org/0000-0002-7434-8144
Jay ShendureDepartment of Genome Sciences, University of Washington, Seattle, WA, USA. shendure@uw.edu.ORCID http://orcid.org/0000-0002-1516-1865

Funding

ZIDOVUDINE &LAMIVUDINE &NEVIRAPINE COMBINATION THERAPY IN HIV 1 INFM01RR001271 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KESSLER, DAVID A · 1985 to 2006
$22.7M
UCSF Nutrition Obesity Research CenterP30DK098722 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHRISTIAN VAISSE · 2015 to 2026
$14.6M
RESEARCH TRAINING IN HEMATOLOGYT32HL007093 · NHLBI · UNIVERSITY OF WASHINGTON · PI Janis L Abkowitz · 1985 to 2026
$13.9M
Massively parallel reporter assays and genome editing of ENCODE predicted regulatory elementsUM1HG009408 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AHITUV, NADAV, SHENDURE, JAY ASHOK · 2017 to 2021
$7.6M
Massively parallel dissection of psychiatric regulatory networksR01MH109907 · NIMH · J. DAVID GLADSTONE INSTITUTES · PI AHITUV, NADAV, POLLARD, KATHERINE S. · 2016 to 2020
$3.4M
Massively parallel characterization of psychiatric disease associated regulatory elements in defined cell typesU01MH116438 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AHITUV, NADAV, POLLARD, KATHERINE S. · 2018 to 2021
$2.7M
Predictive Modeling of Alternative Splicing and Polyadenylation from Millions of Random SequencesR01HG009136 · NHGRI · UNIVERSITY OF WASHINGTON · PI SEELIG, GEORG, SHENDURE, JAY ASHOK · 2017 to 2020
$2.3M
Massively parallel, in vivo functional testing of regulatory elementsR01HG006768 · NHGRI · UNIVERSITY OF WASHINGTON · PI AHITUV, NADAV, SHENDURE, JAY ASHOK · 2012 to 2014
$1.8M
Massively parallel characterization of psychiatric disease associated regulatory elements in defined cell typesR01MH116438 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AHITUV, NADAV, POLLARD, KATHERINE S. · 2022 to 2022
$668k
Technologies for simultaneous characterization of regulatory activity and protein bindingR21HG010683 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AHITUV, NADAV · 2019 to 2020
$443k
Development of massively parallel reporter assays that use cognate promotersR21HG010065 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AHITUV, NADAV, SHEN, YIN · 2018 to 2019
$440k
Functional Validation of Thousands of GWAS VariantsF30HG009479 · NHGRI · UNIVERSITY OF WASHINGTON · PI KLEIN, JASON CHESLER · 2017 to 2020
$164k
Howard Hughes Medical InstituteNCRR NIH HHS M01 RR001271NHGRI NIH HHS F30 HG009479NHGRI NIH HHS R01 HG006768NHGRI NIH HHS R01 HG009136NHGRI NIH HHS R21 HG010065NHGRI NIH HHS R21 HG010683NHGRI NIH HHS UM1 HG009408NHLBI NIH HHS T32 HL007093NIDDK NIH HHS P30 DK098722NIMH NIH HHS R01 MH109907NIMH NIH HHS R01 MH116438NIMH NIH HHS U01 MH116438
6 · The paper itself

Abstract

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.

Indexed as

Gene LibraryGenes, ReporterRegulatory Sequences, Nucleic AcidEnhancer Elements, GeneticHep G2 CellsHigh-Throughput Nucleotide SequencingHumansReproducibility of ResultsSequence Analysis, DNATranscription FactorsTranscription Factors

Identifiers

PMID33046894
PMCPMC7727316

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.