ArticleNature chemical biology2020
A gene signal amplifier platform for monitoring the unfolded protein response.
Article in Nature chemical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 20 citations in OpenAlex.
- Establishing an RNA Sensor with High Sensitivity and Dynamic Range Utilizing a Signal Amplifier Platform.ACS synthetic biology · 2026Article
- Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Thiol-polarity dual cascade-triggered two-photon imaging of protein unfolding for early atherosclerosis diagnosis.Science advances · 2025Article
- Establishing an RNA sensor with high sensitivity and dynamic range utilizing a signal amplifier platform.bioRxiv : the preprint server for biology · 2025Article
- DNAzyme-driven dual-cycle coupled with pregnancy test strip signal transduction for monitoring of Dreissena polymorpha.Mikrochimica acta · 2025Article
- Feedback-responsive cell factories for dynamic modulation of the unfolded protein response.Nature communications · 2025Article
- Customizable gene sensing and response without altering endogenous coding sequences.Nature chemical biology · 2025Article
- Engineering a synthetic gene circuit for high-performance inducible expression in mammalian systems.Nature communications · 2024Article
- Cell factory engineering: Challenges and opportunities for synthetic biology applications.Biotechnology and bioengineering · 2023Review
- Emerging technologies for genetic control systems in cellular therapies.Current opinion in biotechnology · 2022Review
- A Platform Technology for Monitoring the Unfolded Protein Response.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Engineering cell fate: Applying synthetic biology to cellular reprogramming.Current opinion in systems biology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Gene expression in mammalian cells results from coordinated protein-driven processes guided by diverse mechanisms of regulation, including protein-protein interactions, protein localization, DNA modifications and chromatin rearrangement. Regulation of gene expression is particularly important in stress-response pathways. To address the need to monitor chromosomal gene expression generating a readily detectable signal output that recapitulates gene expression dynamics, we developed a gene signal amplifier platform that links transcriptional and post-translational regulation of a fluorescent output to the expression of a chromosomal target gene. We generated a multiplex reporter system for monitoring markers of the unfolded protein response, a complex signal transduction pathway that remodels gene expression in response to proteotoxic stress in the endoplasmic reticulum. By recapitulating the transcriptional and translational control mechanisms underlying the expression of a target gene with high sensitivity, this platform provides a technology for monitoring gene expression with superior sensitivity and dynamic resolution.
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Identifiers
What OpenQuestion holds
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.