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Liu Y, Zhou Z, Wu Y, Wang L, Cheng J, Zhu L, Dong Y, Zheng J, Xu W. Engineered transcription factor-binding diversed functional nucleic acid-based synthetic biosensor. Biotechnol Adv 2024; 77:108463. [PMID: 39374798 DOI: 10.1016/j.biotechadv.2024.108463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Revised: 08/30/2024] [Accepted: 10/04/2024] [Indexed: 10/09/2024]
Abstract
Engineered transcription factors (eTFs) binding diversed functional nucleic acids (dFNAs), as innovative biorecognition systems, have gradually become indispensable core elements for building synthetic biosensors. They not only circumvent the limitations of the original TF-based biosensing technologies, but also inject new vitality into the field of synthetic biosensing. This review aims to provide the first comprehensive and systematic dissection of the eTF-dFNA synthetic biosensor concept. Firstly, the core principles and interaction mechanisms of eTF-dFNA biosensors are clarified. Next, we elaborate on the construction strategies of eTF-dFNA synthetic biosensors, detailing methods for the personalized customization of eTFs (irrational design, rational design, and semi-rational design) and dFNAs (SELEX, modifying and predicting), along with the exploration of strategies for the flexible selection of signal amplification and output modes. Furthermore, we discuss the exceptional performance and substantial advantages of eTF-dFNA synthetic biosensors, analyzing them from four perspectives: recognition domain, detection speed, sensitivity, and construction methodology. Building upon this analysis, we present their outstanding applications in point-of-care diagnostics, food-safety detection, environmental monitoring, and production control. Finally, we address the current limitations of eTF-dFNA synthetic biosensors candidly and envision the future direction of this technology, aiming to provide valuable insights for further research and applications in this burgeoning field.
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Affiliation(s)
- Yanger Liu
- Food Laboratory of Zhongyuan, Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, Ministry of Education, China Agricultural University, Beijing 100193, China; Key Laboratory of Veterinary Anatomy, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Ziying Zhou
- Food Laboratory of Zhongyuan, Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, Ministry of Education, China Agricultural University, Beijing 100193, China
| | - Yifan Wu
- Food Laboratory of Zhongyuan, Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, Ministry of Education, China Agricultural University, Beijing 100193, China
| | - Lei Wang
- Key Laboratory of Veterinary Anatomy, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Jiageng Cheng
- Food Laboratory of Zhongyuan, Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, Ministry of Education, China Agricultural University, Beijing 100193, China
| | - Longjiao Zhu
- Food Laboratory of Zhongyuan, Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, Ministry of Education, China Agricultural University, Beijing 100193, China; Key Laboratory of Geriatrics (Hepatobiliary Diseases), China General Technology Group, Beijing 100073, China.
| | - Yulan Dong
- Food Laboratory of Zhongyuan, Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, Ministry of Education, China Agricultural University, Beijing 100193, China; Key Laboratory of Veterinary Anatomy, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Jie Zheng
- School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, China.
| | - Wentao Xu
- Food Laboratory of Zhongyuan, Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, Ministry of Education, China Agricultural University, Beijing 100193, China; Key Laboratory of Geriatrics (Hepatobiliary Diseases), China General Technology Group, Beijing 100073, China.
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Copeland C, Heitmeier CJ, Doan KD, Lee SC, Porche KB, Kwon YC. Expanding the Cell-Free Reporter Protein Toolbox by Employing a Split mNeonGreen System to Reduce Protein Synthesis Workload. ACS Synth Biol 2024; 13:1663-1668. [PMID: 38836603 PMCID: PMC11197088 DOI: 10.1021/acssynbio.3c00752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 05/28/2024] [Accepted: 05/31/2024] [Indexed: 06/06/2024]
Abstract
The cell-free system offers potential advantages in biosensor applications, but its limited time for protein synthesis poses a challenge in creating enough fluorescent signals to detect low limits of the analyte while providing a robust sensing module at the beginning. In this study, we harnessed split versions of fluorescent proteins, particularly split superfolder green fluorescent protein and mNeonGreen, to increase the number of reporter units made before the reaction ceased and enhance the detection limit in the cell-free system. A comparative analysis of the expression of 1-10 and 11th segments of beta strands in both whole-cell and cell-free platforms revealed distinct fluorescence patterns. Moreover, the integration of SynZip peptide linkers substantially improved complementation. The split protein reporter system could enable higher reporter output when sensing low analyte levels in the cell-free system, broadening the toolbox of the cell-free biosensor repertoire.
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Affiliation(s)
- Caroline
E. Copeland
- Department
of Biological and Agricultural Engineering, Louisiana State University, Baton
Rouge, Louisiana 70803, United States
| | - Chloe J. Heitmeier
- Department
of Biological and Agricultural Engineering, Louisiana State University, Baton
Rouge, Louisiana 70803, United States
| | - Khoa D. Doan
- Department
of Biological and Agricultural Engineering, Louisiana State University, Baton
Rouge, Louisiana 70803, United States
| | - Shea C. Lee
- Department
of Biological and Agricultural Engineering, Louisiana State University, Baton
Rouge, Louisiana 70803, United States
| | - Kassidy B. Porche
- Department
of Biological and Agricultural Engineering, Louisiana State University, Baton
Rouge, Louisiana 70803, United States
| | - Yong-Chan Kwon
- Department
of Biological and Agricultural Engineering, Louisiana State University, Baton
Rouge, Louisiana 70803, United States
- Louisiana
State University Agricultural Center, Baton Rouge, Louisiana 70803, United States
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3
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Li W, Feng W, Liu B, Qian Y. Fluorescent protein chromophores modified with aromatic heterocycles for photodynamic therapy and two-photon fluorescence imaging. Org Biomol Chem 2024; 22:1892-1900. [PMID: 38349610 DOI: 10.1039/d3ob01966g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
In this paper, three fluorescent protein chromophore analogs PFPAr (PFPP, PFPC, and PFPT) were synthesized and proved to be useful for photodynamic therapy and two-photon fluorescence imaging. By adding five- or six-membered aromatic heterocycles to the photosensitizer PFP, we obtained three fluorescent protein photosensitizers PFPAr with better performances. As a demonstration, compared with the reported photosensitizer PFP, photosensitizer PFPP exhibits larger emission wavelengths (701 nm) and achieves a slight enhancement in the efficiency of singlet oxygen (ΦΔ = 23%). Notably, PFPP can perform good two-photon fluorescence imaging with an 800 nm femtosecond laser in zebrafish. In in vitro cytotoxicity assays, PFPP shows good phototoxicity (IC50 = 4.12 μM) and acceptable dark toxicity (cell viability assay >90%). The reactive oxygen imaging experiments and AO/EB double staining assay indicate that PFPP can generate singlet oxygen to eliminate A-549 tumor cells effectively with photoexcitation of 460 nm blue light (20 mW cm-2). Furthermore, PFPP can label the lysosomes of tumor cells with high specificity for lysosomes (Pearson's correlation coefficient of 0.91). Thus, our study demonstrated that the rational introduction of aromatic heterocycles into fluorescent protein photosensitizers can effectively enhance the key parameters of photosensitivity and pave the way for further two-photon photodynamic therapy.
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Affiliation(s)
- Weilong Li
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Wan Feng
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Badi Liu
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Ying Qian
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China.
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Morey K, Thomas-Fenderson T, Watson A, Sebesta J, Peebles C, Gentry-Weeks C. Toehold switch plus signal amplification enables rapid detection. Biotechnol J 2023; 18:e2200607. [PMID: 37641181 PMCID: PMC10840733 DOI: 10.1002/biot.202200607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 08/04/2023] [Accepted: 08/14/2023] [Indexed: 08/31/2023]
Abstract
Recent world events have led to an increased interest in developing rapid and inexpensive clinical diagnostic platforms for viral detection. Here, the development of a cell-free toehold switch-based biosensor, which does not require upstream amplification of target RNA, is described for the detection of RNA viruses. Toehold switches were designed to avoid interfering secondary structure in the viral RNA binding region, mutational hotspots, and cross-reacting sequences of other coronaviruses. Using these design criteria, toehold switches were targeted to a low mutation region of the SARS-CoV-2 genome nonstructural protein 2 (nsp2). The designs were tested in a cell-free system using trigger RNA based on the viral genome and a highly sensitive fluorescent reporter gene, mNeonGreen. The detection sensitivity of our best toehold design, CSU 08, was in the low picomolar range of target (trigger) RNA. To increase the sensitivity of our cell-free biosensor to a clinically relevant level, we developed a modular downstream amplification system that utilizes toehold switch activation of tobacco etch virus (TEV) protease expression. The TEV protease cleaves a quenched fluorescent reporter, both increasing the signal fold change between control and sample and increasing the sensitivity to a clinically relevant low femtomolar range for target RNA detection.
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Affiliation(s)
- Kevin Morey
- Chemical and Biological Engineering Department, Colorado State University, Fort Collins, Colorado, USA
| | - Tyler Thomas-Fenderson
- Microbiology, Immunology, and Pathology Department, Colorado State University, Fort Collins, Colorado, USA
| | - Al Watson
- Chemical and Biological Engineering Department, Colorado State University, Fort Collins, Colorado, USA
| | - Jacob Sebesta
- Chemical and Biological Engineering Department, Colorado State University, Fort Collins, Colorado, USA
| | - Christie Peebles
- Chemical and Biological Engineering Department, Colorado State University, Fort Collins, Colorado, USA
| | - Claudia Gentry-Weeks
- Microbiology, Immunology, and Pathology Department, Colorado State University, Fort Collins, Colorado, USA
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Sun S, Peng K, Sun S, Wang M, Shao Y, Li L, Xiang J, Sedjoah RCAA, Xin Z. Engineering Modular and Highly Sensitive Cell-Based Biosensors for Aromatic Contaminant Monitoring and High-Throughput Enzyme Screening. ACS Synth Biol 2023; 12:877-891. [PMID: 36821745 DOI: 10.1021/acssynbio.3c00036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
Although a variety of whole-cell-based biosensors have been developed for different applications in recent years, most cannot meet practical requirements due to insufficient sensing performance. Here, we constructed two sets of modular genetic circuits by serial and parallel modes capable of significantly amplifying the input/output signal in Escherichia coli. The biosensors are engineered using σ54-dependent phenol-responsive regulator DmpR as a sensor and enhanced green fluorescent protein as a reporter. Cells harboring serial and parallel genetic circuits displayed nearly 9- and 16-fold higher sensitivity than the general circuit. The genetic circuits enabled rapid detection of six phenolic contaminants in 12 h and showed the low limit of detection of 2.5 and 2.2 ppb for benzopyrene (BaP) and tetracycline (Tet), with a broad detection range of 0.01-1 and 0.005-5 μM, respectively. Furthermore, the positive rate was as high as 73% when the biosensor was applied to screen intracellular enzymes with ester-hydrolysis activity from soil metagenomic libraries using phenyl acetate as a phenolic substrate. Several novel enzymes were isolated, identified, and biochemically characterized, including serine peptidases and alkaline phosphatase family protein/metalloenzyme. Consequently, this study provides a new signal amplification method for cell-based biosensors that can be widely applied to environmental contaminant assessment and screening of intracellular enzymes.
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Affiliation(s)
- Shengwei Sun
- Key Laboratory of Food Processing and Quality Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Kailin Peng
- Key Laboratory of Food Processing and Quality Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Sen Sun
- Key Laboratory of Food Processing and Quality Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Mengxi Wang
- Key Laboratory of Food Processing and Quality Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Yuting Shao
- Key Laboratory of Food Processing and Quality Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Longxiang Li
- Key Laboratory of Food Processing and Quality Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Jiahui Xiang
- Key Laboratory of Food Processing and Quality Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Rita-Cindy Aye-Ayire Sedjoah
- Key Laboratory of Food Processing and Quality Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Zhihong Xin
- Key Laboratory of Food Processing and Quality Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
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Patterson AT, Styczynski MP. Rapid and Finely-Tuned Expression for Deployable Sensing Applications. ADVANCES IN BIOCHEMICAL ENGINEERING/BIOTECHNOLOGY 2023; 186:141-161. [PMID: 37316621 DOI: 10.1007/10_2023_223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Organisms from across the tree of life have evolved highly efficient mechanisms for sensing molecules of interest using biomolecular machinery that can in turn be quite valuable for the development of biosensors. However, purification of such machinery for use in in vitro biosensors is costly, while the use of whole cells as in vivo biosensors often leads to long sensor response times and unacceptable sensitivity to the chemical makeup of the sample. Cell-free expression systems overcome these weaknesses by removing the requirements associated with maintaining living sensor cells, allowing for increased function in toxic environments and rapid sensor readout at a production cost that is often more reasonable than purification. Here, we focus on the challenge of implementing cell-free protein expression systems that meet the stringent criteria required for them to serve as the basis for field-deployable biosensors. Fine-tuning expression to meet these requirements can be achieved through careful selection of the sensing and output elements, as well as through optimization of reaction conditions via tuning of DNA/RNA concentrations, lysate preparation methods, and buffer conditions. Through careful sensor engineering, cell-free systems can continue to be successfully used for the production of tightly regulated, rapidly expressing genetic circuits for biosensors.
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Affiliation(s)
- Alexandra T Patterson
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Mark P Styczynski
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
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