Evidence map›Paper›PMID 37645782›Full record

ArticlebioRxiv : the preprint server for biology2024

A molecular proximity sensor based on an engineered, dual-component guide RNA.

Junhong Choi, Wei Chen, Hanna Liao, Xiaoyi Li, Jay Shendure

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 authors.

Junhong ChoiDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0001-9291-5977
Wei ChenDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-5255-4166
Hanna LiaoDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0003-4890-7990
Xiaoyi LiDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0001-6433-5262
Jay ShendureDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-1516-1865

Funding

UW 4-Dimensional Genomic Organization of Mammalian Embryogenesis CenterUM1HG011586 · NHGRI · UNIVERSITY OF WASHINGTON · PI DISTECHE, CHRISTINE M., NOBLE, WILLIAM STAFFORD · 2020 to 2024
$10.3M
Versatile, exponentially scalable methods for single cell molecular profilingR01HG010632 · NHGRI · UNIVERSITY OF WASHINGTON · PI Jay Ashok Shendure, Bruce Colston Trapnell · 2019 to 2026
$5.9M
Molecular recording to understand the determinants of cell fate transitions in early developmentK99HG012973 · NHGRI · UNIVERSITY OF WASHINGTON · PI CHOI, JUNHONG · 2023 to 2023
$114k
NHGRI NIH HHS K99 HG012973NHGRI NIH HHS R01 HG010632NHGRI NIH HHS UM1 HG011586
6 · The paper itself

Abstract

One of the goals of synthetic biology is to enable the design of arbitrary molecular circuits with programmable inputs and outputs. Such circuits bridge the properties of electronic and natural circuits, processing information in a predictable manner within living cells. Genome editing is a potentially powerful component of synthetic molecular circuits, whether for modulating the expression of a target gene or for stably recording information to genomic DNA. However, programming molecular events such as protein-protein interactions or induced proximity as triggers for genome editing remains challenging. Here we demonstrate a strategy termed "P3 editing", which links protein-protein proximity to the formation of a functional CRISPR-Cas9 dual-component guide RNA. By engineering the crRNA:tracrRNA interaction, we demonstrate that various known protein-protein interactions, as well as the chemically-induced dimerization of protein domains, can be used to activate prime editing or base editing in human cells. Additionally, we explore how P3 editing can incorporate outputs from ADAR-based RNA sensors, potentially allowing specific RNAs to induce specific genome edits within a larger circuit. Our strategy enhances the controllability of CRISPR-based genome editing, facilitating its use in synthetic molecular circuits deployed in living cells.

Identifiers

PMID37645782
PMCPMC10461971

What OpenQuestion holds

Textmetadata
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.