Evidence map›Paper›PMID 39609378›Full record

ArticleNature communications2024

A massively parallel reporter assay library to screen short synthetic promoters in mammalian cells.

Adam M Zahm, William S Owens, Samuel R Himes, Braden S Fallon, Kathleen E Rondem, Alexa N Gormick, Joshua S Bloom, Sriram Kosuri, Henry Chan, Justin G English

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  6. Review
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  11. Optimization of regulatory DNA with active learning.Computational and structural biotechnology journal · 2025
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  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Adam M ZahmDepartment of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT, USA.ORCID 0009-0007-8680-522X
William S OwensOctant Inc., Emeryville, CA, USA.
Samuel R HimesDepartment of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT, USA.
Braden S FallonDepartment of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT, USA.ORCID 0000-0001-8308-418X
Kathleen E RondemDepartment of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT, USA.
Alexa N GormickDepartment of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT, USA.
Joshua S BloomOctant Inc., Emeryville, CA, USA.
Sriram KosuriOctant Inc., Emeryville, CA, USA.
Henry ChanOctant Inc., Emeryville, CA, USA.
Justin G EnglishDepartment of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT, USA. justin.english@biochem.utah.edu.ORCID 0000-0002-1161-8928

Funding

Directed Evolution of Cell-Type Specific On-Demand Signaling Control SystemsDP2GM146247 · NIGMS · UNIVERSITY OF UTAH · PI ENGLISH, JUSTIN G. · 2021 to 2024
$2.3M
NIGMS NIH HHS DP2 GM146247U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) 1DP2GM146247-01
6 · The paper itself

Abstract

Cellular responses to stimuli underpin discoveries in drug development, synthetic biology, and general life sciences. We introduce a library comprising 6144 synthetic promoters, each shorter than 250 bp, designed as transcriptional readouts of cellular stimulus responses in massively parallel reporter assay format. This library facilitates precise detection and amplification of transcriptional activity from our promoters, enabling the systematic development of tunable reporters with dynamic ranges of 50-100 fold. Our library proved functional in numerous cell lines and responsive to a variety of stimuli, including metabolites, mitogens, toxins, and pharmaceutical agents, generating robust and scalable reporters effective in screening assays, biomarkers, and synthetic circuits attuned to endogenous cellular activities. Particularly valuable in therapeutic development, our library excels in capturing candidate reporters to signals mediated by drug targets, a feature we illustrate across nine diverse G-protein coupled receptors (GPCRs), critical targets in drug development. We detail how this tool isolates and defines discrete signaling pathways associated with specific GPCRs, elucidating their transcriptional signatures. With its ease of implementation, broad utility, publicly available data, and comprehensive documentation, our library will be beneficial in synthetic biology, cellular engineering, ligand exploration, and drug development.

Indexed as

Gene LibraryGenes, ReporterPromoter Regions, GeneticSynthetic BiologyAnimalsHEK293 CellsHigh-Throughput Screening AssaysHumansReceptors, G-Protein-CoupledSignal TransductionReceptors, G-Protein-Coupled

Identifiers

PMID39609378
PMCPMC11604768

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.