Evidence map›Paper›PMID 41000725›Full record

ArticlebioRxiv : the preprint server for biology2025

Establishing an RNA sensor with high sensitivity and dynamic range utilizing a signal amplifier platform.

Ha Eun Lim, James Chappell, Laura Segatori

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Ha Eun LimDepartment of Bioengineering, Rice University, Houston, TX, 77005, USA.ORCID 0009-0007-2978-184X
James ChappellDepartment of Bioengineering, Rice University, Houston, TX, 77005, USA.ORCID 0000-0001-7367-1524
Laura SegatoriDepartment of Bioengineering, Rice University, Houston, TX, 77005, USA.ORCID 0000-0001-5749-5479

Funding

Engineering mammalian gene activity sensor-actuator devicesR01EB030030 · NIBIB · RICE UNIVERSITY · PI SEGATORI, LAURA · 2021 to 2024
$1.4M
NIBIB NIH HHS R01 EB030030
6 · The paper itself

Abstract

Precise control of gene expression in a cell-state-specific manner is essential for effective therapeutic interventions in complex and dynamic disease microenvironments. Traditional targeting strategies that rely on surface markers or cell type-specific promoters often assume static cellular identities, limiting effectiveness in contexts such as cancer and inflammation, where cell states are highly heterogeneous and dynamic. RNA sensors, such as RADAR (RNA sensing using Adenosine Deaminases Acting on RNA), provide a modular, programmable, and non-integrating platform for classifying cell states. However, it is also characterized by low sensitivity and dynamic range, which limits its applications in detecting low-abundance transcripts. In this work, we integrate RADAR sensors with a signal amplification circuit to enhance sensitivity and dynamic range. We demonstrate that this combined RADAR-amplifier platform enables real-time monitoring of subtle changes in the abundance of endogenous transcripts under physiological conditions. Our results demonstrate the utility of this platform for fundamental biological studies and the development of precision therapeutic strategies.

Indexed as

gene signal amplifiermammalian synthetic biologyRADAR sensorsRNA sensors

Identifiers

PMID41000725
PMCPMC12458279

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.