ArticleNature communications2025
Computational identification of small molecules for increased gene expression by synthetic circuits in mammalian cells.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
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Who cites it
6 citing papers in PubMed.
- Advances in erythritol production through synthetic biology and systems metabolic engineering.Archives of microbiology · 2026Review
- Breeding ofBiodesign research · 2026Article
- Joined Signatures of Erythropoietin and Interleukin-6 Signaling by Synthetic Heterodimeric gp130:Epo Receptor Complexes.ACS synthetic biology · 2026Article
- Modeling cancer with bacteria-integrated tumor microenvironments using biomaterials: Emerging concepts and opportunities.Materials today. Bio · 2026Review
- Systematic Evaluation of Different Ribonucleoprotein Complexes as Posttranscriptional Biosensors in Cell-Free TX-TL Systems.ACS synthetic biology · 2026Article
- Integrating synthetic biology to understand and engineer the heart, lung, blood, and sleep systems.Cell systems · 2025Review
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Engineering mammalian cells with synthetic circuits drives innovation in next-generation biotherapeutics and industrial biotechnology. However, applications often depend on cellular productivity, which is constrained by finite cellular resources. Here, we harness computational biology to identify drugs that boost productivity without additional genetic modifications. We perform RNA-sequencing on cells expressing an incoherent feed-forward loop (iFFL), a genetic circuit that enhances operational capacity. To find drugs that mimic this effect, we use DECCODE (Drug Enhanced Cell COnversion using Differential Expression), an unbiased method that matches our transcriptional data with thousands of drug-induced profiles. Among the compound candidates, we select Filgotinib, that enhances expression of both transiently and stably expressed genetic payloads across various experimental scenarios and cell lines, including AAV and lentivirus transduction. Our results reveal cell-specific responses, underscoring the context dependency of small-molecule treatments. Altogether, we present a versatile tool for biomedical and industrial applications requiring enhanced productivity from engineered cells.
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Registered trials
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.