CRISPR-enabled genetic logic circuits for biosensing

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dc.contributor.authorWang, Xiyan
dc.contributor.authorGao, Yuanli
dc.contributor.authorZhou, Nan
dc.contributor.authorYang, Zhugen
dc.contributor.authorCooper, Jonathan M.
dc.contributor.authorWang, Baojun
dc.date.accessioned2025-05-29T09:43:50Z
dc.date.available2025-05-29T09:43:50Z
dc.date.freetoread2025-05-29
dc.date.issued2025-09-01
dc.date.pubOnline2025-05-17
dc.description.abstractSynthetic biology aims to engineer genetic circuits for custom-designed behaviors in living systems, including sophisticated biosensing applications. The CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) system has gained attention for its potential in genetic circuit design due to its modularity, programmability, precision, and orthogonality. Here we highlight the current CRISPR-based tools for gene regulation at both transcriptional and translational levels. We discuss how these CRISPR technologies facilitate the design and construction of complex genetic circuits that can perform customized logic computations within living systems. Furthermore, we summarize the applications of CRISPR-based genetic logic circuits in biosensing, emphasizing their potential for detecting diverse biological and environmental signals. Finally, we highlight the key challenges facing the development and application of CRISPR-enabled genetic logic circuits and propose directions for future research to overcome these bottlenecks.
dc.description.journalNameTrAC Trends in Analytical Chemistry
dc.description.sponsorshipThis work was supported by National Natural Science Foundation of China (32320103001, 32271475), “Pioneer” and “Leading Goose” R&D Program of Zhejiang (2024C03011), National Key R&D Program of China (2023YFF1204500), Beijing Life Science Academy (2024200CA0070), Kunpeng Action Program Award of Zhejiang Province, and China Postdoctoral Science Foundation (2022M722780). ZY thanks Leverhulme Trust Research Leadership Award (RL-2022-041) and Leverhulme Trust Visiting Professorship grant (VP1-2024-030).
dc.identifier.citationWang X, Gao Y, Zhou N, et al., (2025) CRISPR-enabled genetic logic circuits for biosensing. TrAC Trends in Analytical Chemistry, Volume 190, May 2025, Article number 118297
dc.identifier.eissn1879-3142
dc.identifier.elementsID673294
dc.identifier.issn0165-9936
dc.identifier.paperNo118297
dc.identifier.urihttps://doi.org/10.1016/j.trac.2025.118297
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/23936
dc.identifier.volumeNo190
dc.languageEnglish
dc.language.isoen
dc.publisherElsevier
dc.publisher.urihttps://www.sciencedirect.com/science/article/pii/S0165993625001657?via%3Dihub
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject3401 Analytical Chemistry
dc.subject34 Chemical Sciences
dc.subjectBiotechnology
dc.subjectBioengineering
dc.subjectGenetics
dc.titleCRISPR-enabled genetic logic circuits for biosensing
dc.typeArticle
dc.type.subtypeReview
dcterms.dateAccepted2025-05-10

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