Omics · study · 2026
Systematic Engineering of Synthetic Minimal Promoters for Tunable Transgene Expression in Mammalian Cells
Listed in NCBI GEO
Fine-tuning transgene levels is crucial in fundamental and applied research.
Description
Native promoters are broadly utilized to regulate transgene expression. However, their large size and structural complexity hinder predictable tuning, constrain compatibility to viral vectors with limited capacity, and increase the risk of homologous recombination.
Synthetic promoters are short de novo sequences, typically consisting of an enhancer region that recruits transcription factors, positioned upstream of a minimal promoter that determines transcription initiation efficiency. Enhancer optimization typically yields coarse activation shifts, alters response curves, and requires case-by-case optimization. Synthetic minimal promoter architecture enables fine-tuning that is potentially compatible with any enhancer region.
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In this study, we systematically optimized minimal promoter sequences, core element composition, and regulatory motif sequences. Our findings support a modular model of minimal promoter function in which cis-regulatory elements from different minimal promoters can be mixed, altered, added, or deleted to yield predictable expression outcomes. We shortened and thereby enhanced the efficiency of known minimal promoters, engineered modular, tunable minimal promoters, generated ultrashort minimal promoters spanning 7-8 base pairs, and designed artificial 5′ untranslated regions (5′ UTRs) that function as an additional regulatory layer.
This framework broadens the utility of synthetic promoters, thereby further advancing next-generation applications.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE335nnn/GSE335462 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE335462 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1478581 ncbi.nlm.nih.gov/bioproject/PRJNA1478581 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE335462 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |