Evidence map›Paper›PMID 37214829›Full record

ArticlebioRxiv : the preprint server for biology2023

Discovery and Validation of Context-Dependent Synthetic Mammalian Promoters.

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

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Adam M ZahmDepartment of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT, USA.
William S OwensOctant Inc., Emeryville, CA, USA.
Samuel R HimesDepartment of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT, USA.
Kathleen E RondemDepartment 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.
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.
University of Utah · US

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 GM146247
6 · The paper itself

Abstract

Cellular transcription enables cells to adapt to various stimuli and maintain homeostasis. Transcription factors bind to transcription response elements (TREs) in gene promoters, initiating transcription. Synthetic promoters, derived from natural TREs, can be engineered to control exogenous gene expression using endogenous transcription machinery. This technology has found extensive use in biological research for applications including reporter gene assays, biomarker development, and programming synthetic circuits in living cells. However, a reliable and precise method for selecting minimally-sized synthetic promoters with desired background, amplitude, and stimulation response profiles has been elusive. In this study, we introduce a massively parallel reporter assay library containing 6184 synthetic promoters, each less than 250 bp in length. This comprehensive library allows for rapid identification of promoters with optimal transcriptional output parameters across multiple cell lines and stimuli. We showcase this library's utility to identify promoters activated in unique cell types, and in response to metabolites, mitogens, cellular toxins, and agonism of both aminergic and non-aminergic GPCRs. We further show these promoters can be used in luciferase reporter assays, eliciting 50-100 fold dynamic ranges in response to stimuli. Our platform is effective, easily implemented, and provides a solution for selecting short-length promoters with precise performance for a multitude of applications.

Indexed as

cell signalingGPCRspromotersSynthetic biologytranscription

Identifiers

PMID37214829
PMCPMC10197685
OpenAlexW4376286381

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
Read underepoch 390

Registered trials

None linked

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.