Evidence map›Paper›PMID 41927591›Full record

ArticleNature communications2026

Engineering multiple levels of specificity in an RNA viral vector.

Lucy S Chong, Jeewoo Kang, Michaela H Ince, Matthew S Kim, Xiaojing J Gao, Michael B Elowitz

Abstract read
In one paragraph

Article in Nature communications, 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.

Lucy S Chong *Howard Hughes Medical Institute, Division of Biology and Bioengineering, Broad Center, California Institute of Technology, Pasadena, CA, USA.
Jeewoo Kang *Neurosciences Interdepartmental Program, Stanford University, Stanford, CA, USA.
Michaela H InceHoward Hughes Medical Institute, Division of Biology and Bioengineering, Broad Center, California Institute of Technology, Pasadena, CA, USA.
Matthew S KimHoward Hughes Medical Institute, Division of Biology and Bioengineering, Broad Center, California Institute of Technology, Pasadena, CA, USA.
Xiaojing J GaoDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA. xjgao@stanford.edu.ORCID http://orcid.org/0000-0002-3094-1456
Michael B ElowitzHoward Hughes Medical Institute, Division of Biology and Bioengineering, Broad Center, California Institute of Technology, Pasadena, CA, USA. melowitz@caltech.edu.ORCID http://orcid.org/0000-0002-1221-0967

Funding

Program the Immune System against RAS-driven CancerR61CA278398 · NCI · STANFORD UNIVERSITY · PI GAO, XIAOJING J, WINSLOW, MONTE MEIER · 2023 to 2025
$646k
Cancer Classifiers Based on RNA Sensors in Living CellsR21EB033858 · NIBIB · STANFORD UNIVERSITY · PI GAO, XIAOJING J · 2022 to 2024
$619k
Synthetic DNA-free circuits for “scarless” programming of mammalian cellsK99EB027723 · NIBIB · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI GAO, XIAOJING J · 2019 to 2019
$90k
Gordon and Betty Moore Foundation (Gordon E. and Betty I. Moore Foundation) GMBF2809Helen Hay Whitney Foundation (HHWF) F1047NCI NIH HHS R61 CA278398NIBIB NIH HHS K99 EB027723NIBIB NIH HHS R21 EB033858
6 · The paper itself

Abstract

Engineered molecular circuits encoded in RNA can act as programmable therapeutics that sense cellular states and elicit precise responses within diseased cells. However, their application depends critically on systems for delivering circuits into cells. Here, we engineer a model delivery system based on the rabies virus that incorporates multiple levels of control over the viral life cycle and cargo. We demonstrate controlled release of viral vectors from sender cells, conditional entry into target cells based on cell-surface proteins, restricted viral replication governed by intracellular protein content, and an escaper-resistant mechanism for viral elimination with drugs. In parallel, we integrate RNA-sensing and protease-controlled circuits to regulate cargo expression and activity at post-transcriptional and post-translational levels. Together, these strategies illustrate how viral and protein engineering can establish multi-level control at both the viral and cargo levels to facilitate specificity in future therapeutic RNA delivery systems.

Indexed as

Genetic EngineeringGenetic VectorsRabies virusRNA, ViralAnimalsHumansProtein EngineeringVirus ReplicationRNA, Viral

Identifiers

PMID41927591
PMCPMC13216580

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.