Evidence map›Paper›PMID 38943344›Full record

ArticleNucleic acids research2024

Logical regulation of endogenous gene expression using programmable, multi-input processing CRISPR guide RNAs.

Hansol Kang, Dongwon Park, Jongmin Kim

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  14. Cell Sizes Matter for Industrial Bioproduction, a Case of Polyhydroxybutyrate.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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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

3 authors.

Hansol KangDepartment of Life Sciences, Pohang University of Science and Technology, Pohang 37673, Korea.
Dongwon ParkDepartment of Life Sciences, Pohang University of Science and Technology, Pohang 37673, Korea.
Jongmin KimDepartment of Life Sciences, Pohang University of Science and Technology, Pohang 37673, Korea.ORCID 0000-0002-2713-1006

Funding

Gyeongsangbukdo and Pohang city GBTP2023129001Korea Health Industry Development Institute RS-2023-00304637Korean government (MSIT)Ministry of Education 2021R1A6C101A390Ministry of Education and National Research Foundation of KoreaNational Research Foundation of Korea NRF-2022R1F1A1066642POSTECH Basic Science Research Institute NRF-2021R1A6A1A10042944
6 · The paper itself

Abstract

The CRISPR-Cas system provides a versatile RNA-guided approach for a broad range of applications. Thanks to advances in RNA synthetic biology, the engineering of guide RNAs (gRNAs) has enabled the conditional control of the CRISPR-Cas system. However, achieving precise regulation of the CRISPR-Cas system for efficient modulation of internal metabolic processes remains challenging. In this work, we developed a robust dCas9 regulator with engineered conditional gRNAs to enable tight control of endogenous genes. Our conditional gRNAs in Escherichia coli can control gene expression upon specific interaction with trigger RNAs with a dynamic range as high as 130-fold, evaluating up to a three-input logic A OR (B AND C). The conditional gRNA-mediated targeting of endogenous metabolic genes, lacZ, malT and poxB, caused differential regulation of growth in Escherichia coli via metabolic flux control. Further, conditional gRNAs could regulate essential cytoskeleton genes, ftsZ and mreB, to control cell filamentation and division. Finally, three types of two-input logic gates could be applied for the conditional control of ftsZ regulation, resulting in morphological changes. The successful operation and application of conditional gRNAs based on programmable RNA interactions suggests that our system could be compatible with other Cas-effectors and implemented in other host organisms.

Indexed as

CRISPR-Cas SystemsEscherichia coliEscherichia coli ProteinsGene Expression Regulation, BacterialRNA, Guide, CRISPR-Cas SystemsBacterial ProteinsCytoskeletal ProteinsLogicBacterial ProteinsCytoskeletal ProteinsEscherichia coli ProteinsFtsZ protein, BacteriaRNA, Guide, CRISPR-Cas Systems

Identifiers

PMID38943344
PMCPMC11317168

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.