Evidence map›Paper›PMID 41725602›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Sensing and Reprogramming Surface Receptor Activation With Synthetic Transcriptional Circuits.

Fei Liu, Mei Yuan, Li-Juan Tang, Fenglin Wang, Xia Chu, Jian-Hui Jiang

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Fei LiuState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University, Changsha, P. R. China.
Mei YuanState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University, Changsha, P. R. China.
Li-Juan TangState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University, Changsha, P. R. China.
Fenglin WangState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University, Changsha, P. R. China.
Xia ChuState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University, Changsha, P. R. China.
Jian-Hui JiangState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University, Changsha, P. R. China.ORCID https://orcid.org/0000-0003-1594-4023

Funding

Major BasicNSFC Programs 22274040NSFC Programs 22322404NSFC Programs 22374041NSFC Programs 22404050Research Project of Hunan Province 2025JC0003
6 · The paper itself

Abstract

Cells rely on surface receptors to sense and initiate signalling cascades essential for numerous cellular processes, but engineering of synthetic genetic circuits to sense and rewire receptor activities for user-defined cellular functions remains a challenge. Here we report a synthetic receptor-signalling induced transcription (RESIT) circuit that enables sensing and reprogramming membrane-localized receptor activation to pre-defined transcriptional programs. The RESIT system is designed based on receptor activation mediated split protease complementation and release of membrane-tethered synthetic transcriptional modules. We show that RESIT design is generally applicable to different transcriptional factors and various split viral proteases. This system is further engineered to probe Ca

Indexed as

Gene Regulatory NetworksReceptors, Cell SurfaceAnimalsHumansReceptor Protein-Tyrosine KinasesSignal TransductionReceptor Protein-Tyrosine KinasesReceptors, Cell Surfacebiosensorscell‐specific therapyRTK activitysurface receptor activationsynthetic biology

Identifiers

PMID41725602
PMCPMC13137790

What OpenQuestion holds

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LicenceCC BY
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.