Evidence map›Paper›PMID 40155716›Full record

ArticleNature chemical biology2025

Post-transcriptional modular synthetic receptors.

Xiaowei Zhang, Luis S Mille-Fragoso, K Eerik Kaseniit, Arden P Lee, Meng Zhang, Connor C Call, Yixin Hu, Yunxin Xie, Xiaojing J Gao

Abstract read
In one paragraph

Article in Nature chemical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Xiaowei Zhang *Department of Bioengineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-7749-4382
Luis S Mille-Fragoso *Department of Bioengineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-7072-1522
K Eerik KaseniitDepartment of Bioengineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-5589-1547
Arden P LeeSarafan ChEM-H, Stanford University, Stanford, CA, USA.
Meng ZhangDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-4076-6276
Connor C CallDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-2394-7523
Yixin HuDepartment of Biology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-0853-853X
Yunxin XieThe Chinese Undergraduate Visiting Research (UGVR) Program, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-7213-947X
Xiaojing J GaoStanford Bio-X, Stanford University, Stanford, CA, USA. xjgao@stanford.edu.ORCID http://orcid.org/0000-0002-3094-1456

Funding

Supplement to Enhance Wellness and Resiliency in the Graduate EnvironmentT32GM007276 · NIGMS · STANFORD UNIVERSITY · PI MORRISON, ASHBY J. · 1985 to 2023
$32.9M
A Novel Class of Synthetic Receptors to Empower the Age of mRNA TherapiesDP2EB035891 · NIBIB · STANFORD UNIVERSITY · PI Xiaojing J Gao · 2023 to 2026
$2.3M
Synthetic DNA-free Circuits for “Scarless” Programming of Mammalian CellsR00EB027723 · NIBIB · STANFORD UNIVERSITY · PI GAO, XIAOJING J · 2020 to 2022
$747k
Cancer Classifiers Based on RNA Sensors in Living CellsR21EB033858 · NIBIB · STANFORD UNIVERSITY · PI GAO, XIAOJING J · 2022 to 2024
$619k
National Science Foundation (NSF) DGE-2146755NIBIB NIH HHS DP2 EB035891NIBIB NIH HHS R00 EB027723NIBIB NIH HHS R21 EB033858NIGMS NIH HHS T32 GM007276U.S. Department of Health & Human Services | National Institutes of Health (NIH) GM007276U.S. Department of Health & Human Services | National Institutes of Health (NIH) R00EB027723, R21EB033858, DP2OD034951
6 · The paper itself

Abstract

Inspired by the power of transcriptional synthetic receptors and hoping to complement them to expand the toolbox for cell engineering, we establish LIDAR (Ligand-Induced Dimerization-Activating RNA editing), a modular post-transcriptional synthetic receptor platform that harnesses RNA editing by adenosine deaminases acting on RNA. LIDAR is compatible with various receptor architectures in different cellular contexts and enables the sensing of diverse ligands and the production of functional outputs. Furthermore, LIDAR can sense orthogonal signals in the same cell and produce synthetic spatial patterns, potentially enabling the programming of complex multicellular behaviors. Lastly, LIDAR is compatible with compact encoding and can be delivered as synthetic mRNA. Thus, LIDAR expands the family of synthetic receptors, holding the promise to empower basic research and therapeutic applications.

Indexed as

Receptors, ArtificialRNA EditingAdenosine DeaminaseHumansLigandsRNA, MessengerAdenosine DeaminaseLigandsReceptors, ArtificialRNA, Messenger

Identifiers

PMID40155716
PMCPMC12478471

What OpenQuestion holds

Textmetadata
LicenceTDM
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.