{"title":"可信密码子指纹图谱:深度可逆细菌细胞标记的流线型平台。","authors":"Zhaoguan Wang, Jingsong Cui, Gaoxu Tan, Gaili Cao, Jie Zhang, Hao Qi","doi":"10.1021/acssynbio.5c00263","DOIUrl":null,"url":null,"abstract":"<p><p>The proliferation of artificially engineered cells, driven by advances in synthetic biology, underscores the urgent need to efficiently and precisely tag or identify these synthetic entities, ensuring robust management, oversight, and traceability. Here, we present a platform called trusted codon fingerprint (TCF), which leverages synonymous codon substitutions to integrate identification information into the open reading frames of antibiotic-resistant genes on a plasmid, thereby establishing unique codon fingerprints for target cells. TCF is devised for streamlined and erasable cell labeling with favorable identification capabilities. The dual mechanisms consist of antibiotic selection, which eliminates nearly all incorrectly assembled antibiotic-resistant genes, and error-correcting codes, which accommodate the rest of the minor substitutions. These features eliminate the necessity for a validation step and significantly streamline the process of writing TCF into cells, with cell viability guaranteeing the label's proper functioning. Through evaluating thousands of clones, TCF has achieved 100% writing efficiency and successful identification of the host cell genome via hash function computation using long-read sequencing. Finally, by using a temperature-sensitive plasmid backbone, an <i>Escherichia coli</i> strain engineered through 10-step genome modifications was recorded by TCF in a time- and labor-efficient manner, enabling cyclic writing and erasure of cell labels. Consequently, the TCF labeling system provides a streamlined, erasable, and effective tool, facilitating regulatory compliance and enhancing the flexibility for identity management of engineered strains.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":" ","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Trusted Codon Fingerprint: A Streamlined Platform for Deep and Reversible Bacterial Cell Labeling.\",\"authors\":\"Zhaoguan Wang, Jingsong Cui, Gaoxu Tan, Gaili Cao, Jie Zhang, Hao Qi\",\"doi\":\"10.1021/acssynbio.5c00263\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The proliferation of artificially engineered cells, driven by advances in synthetic biology, underscores the urgent need to efficiently and precisely tag or identify these synthetic entities, ensuring robust management, oversight, and traceability. Here, we present a platform called trusted codon fingerprint (TCF), which leverages synonymous codon substitutions to integrate identification information into the open reading frames of antibiotic-resistant genes on a plasmid, thereby establishing unique codon fingerprints for target cells. TCF is devised for streamlined and erasable cell labeling with favorable identification capabilities. The dual mechanisms consist of antibiotic selection, which eliminates nearly all incorrectly assembled antibiotic-resistant genes, and error-correcting codes, which accommodate the rest of the minor substitutions. These features eliminate the necessity for a validation step and significantly streamline the process of writing TCF into cells, with cell viability guaranteeing the label's proper functioning. Through evaluating thousands of clones, TCF has achieved 100% writing efficiency and successful identification of the host cell genome via hash function computation using long-read sequencing. Finally, by using a temperature-sensitive plasmid backbone, an <i>Escherichia coli</i> strain engineered through 10-step genome modifications was recorded by TCF in a time- and labor-efficient manner, enabling cyclic writing and erasure of cell labels. Consequently, the TCF labeling system provides a streamlined, erasable, and effective tool, facilitating regulatory compliance and enhancing the flexibility for identity management of engineered strains.</p>\",\"PeriodicalId\":26,\"journal\":{\"name\":\"ACS Synthetic Biology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Synthetic Biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1021/acssynbio.5c00263\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Synthetic Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1021/acssynbio.5c00263","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Trusted Codon Fingerprint: A Streamlined Platform for Deep and Reversible Bacterial Cell Labeling.
The proliferation of artificially engineered cells, driven by advances in synthetic biology, underscores the urgent need to efficiently and precisely tag or identify these synthetic entities, ensuring robust management, oversight, and traceability. Here, we present a platform called trusted codon fingerprint (TCF), which leverages synonymous codon substitutions to integrate identification information into the open reading frames of antibiotic-resistant genes on a plasmid, thereby establishing unique codon fingerprints for target cells. TCF is devised for streamlined and erasable cell labeling with favorable identification capabilities. The dual mechanisms consist of antibiotic selection, which eliminates nearly all incorrectly assembled antibiotic-resistant genes, and error-correcting codes, which accommodate the rest of the minor substitutions. These features eliminate the necessity for a validation step and significantly streamline the process of writing TCF into cells, with cell viability guaranteeing the label's proper functioning. Through evaluating thousands of clones, TCF has achieved 100% writing efficiency and successful identification of the host cell genome via hash function computation using long-read sequencing. Finally, by using a temperature-sensitive plasmid backbone, an Escherichia coli strain engineered through 10-step genome modifications was recorded by TCF in a time- and labor-efficient manner, enabling cyclic writing and erasure of cell labels. Consequently, the TCF labeling system provides a streamlined, erasable, and effective tool, facilitating regulatory compliance and enhancing the flexibility for identity management of engineered strains.
期刊介绍:
The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.
Topics may include, but are not limited to:
Design and optimization of genetic systems
Genetic circuit design and their principles for their organization into programs
Computational methods to aid the design of genetic systems
Experimental methods to quantify genetic parts, circuits, and metabolic fluxes
Genetic parts libraries: their creation, analysis, and ontological representation
Protein engineering including computational design
Metabolic engineering and cellular manufacturing, including biomass conversion
Natural product access, engineering, and production
Creative and innovative applications of cellular programming
Medical applications, tissue engineering, and the programming of therapeutic cells
Minimal cell design and construction
Genomics and genome replacement strategies
Viral engineering
Automated and robotic assembly platforms for synthetic biology
DNA synthesis methodologies
Metagenomics and synthetic metagenomic analysis
Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction
Gene optimization
Methods for genome-scale measurements of transcription and metabolomics
Systems biology and methods to integrate multiple data sources
in vitro and cell-free synthetic biology and molecular programming
Nucleic acid engineering.