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Zhang Q, Chen Z, Wang F, Zhang S, Chen H, Gu X, Wen F, Jin J, Zhang X, Huang X, Shen B, Sun B. Efficient DNA interrogation of SpCas9 governed by its electrostatic interaction with DNA beyond the PAM and protospacer. Nucleic Acids Res 2021; 49:12433-12444. [PMID: 34850124 PMCID: PMC8643646 DOI: 10.1093/nar/gkab1139] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 10/26/2021] [Accepted: 10/27/2021] [Indexed: 12/26/2022] Open
Abstract
Streptococcus pyogenes Cas9 (SpCas9), a programmable RNA-guided DNA endonuclease, has been widely repurposed for biological and medical applications. Critical interactions between SpCas9 and DNA confer the high specificity of the enzyme in genome engineering. Here, we unveil that an essential SpCas9–DNA interaction located beyond the protospacer adjacent motif (PAM) is realized through electrostatic forces between four positively charged lysines among SpCas9 residues 1151–1156 and the negatively charged DNA backbone. Modulating this interaction by substituting lysines with amino acids that have distinct charges revealed a strong dependence of DNA target binding and cleavage activities of SpCas9 on the charge. Moreover, the SpCas9 mutants show markedly distinguishable DNA interaction sites beyond the PAM compared with wild-type SpCas9. Functionally, this interaction governs DNA sampling and participates in protospacer DNA unwinding during DNA interrogation. Overall, a mechanistic and functional understanding of this vital interaction explains how SpCas9 carries out efficient DNA interrogation.
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Affiliation(s)
- Qian Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.,CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ziting Chen
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Fangzhu Wang
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Gusu School, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing Medical University, Nanjing 211166, China
| | - Siqi Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.,CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hongyu Chen
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Gusu School, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing Medical University, Nanjing 211166, China
| | - Xueying Gu
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Gusu School, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing Medical University, Nanjing 211166, China
| | - Fengcai Wen
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.,CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiachuan Jin
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Gusu School, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing Medical University, Nanjing 211166, China
| | - Xia Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Xingxu Huang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.,Gene Editing Center, ShanghaiTech University, Shanghai 201210, China
| | - Bin Shen
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Gusu School, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing Medical University, Nanjing 211166, China
| | - Bo Sun
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.,Gene Editing Center, ShanghaiTech University, Shanghai 201210, China
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2
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Yi X, Khey J, Kazlauskas RJ, Travisano M. Plasmid hypermutation using a targeted artificial DNA replisome. SCIENCE ADVANCES 2021; 7:7/29/eabg8712. [PMID: 34272238 PMCID: PMC8284885 DOI: 10.1126/sciadv.abg8712] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 06/02/2021] [Indexed: 06/13/2023]
Abstract
Extensive exploration of a protein's sequence space for improved or new molecular functions requires in vivo evolution with large populations. But disentangling the evolution of a target protein from the rest of the proteome is challenging. Here, we designed a protein complex of a targeted artificial DNA replisome (TADR) that operates in live cells to processively replicate one strand of a plasmid with errors. It enhanced mutation rates of the target plasmid up to 2.3 × 105-fold with only a 78-fold increase in off-target mutagenesis. It was used to evolve itself to increase error rate and increase the efficiency of an efflux pump while simultaneously expanding the substrate repertoire. TADR enables multiple simultaneous substitutions to discover functions inaccessible by accumulating single substitutions, affording potential for solving hard problems in molecular evolution and developing biologic drugs and industrial catalysts.
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Affiliation(s)
- Xiao Yi
- BioTechnology Institute, University of Minnesota, Minneapolis, MN, USA.
| | - Joleen Khey
- Department of Plant and Microbial Biology, University of Minnesota, Minneapolis, MN, USA
| | - Romas J Kazlauskas
- BioTechnology Institute, University of Minnesota, Minneapolis, MN, USA.
- Department of Biochemistry Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Michael Travisano
- BioTechnology Institute, University of Minnesota, Minneapolis, MN, USA.
- Department of Ecology Evolution and Behavior, University of Minnesota, Minneapolis, MN, USA
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3
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Hardo G, Bakshi S. Challenges of analysing stochastic gene expression in bacteria using single-cell time-lapse experiments. Essays Biochem 2021; 65:67-79. [PMID: 33835126 PMCID: PMC8056041 DOI: 10.1042/ebc20200015] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 03/02/2021] [Accepted: 03/04/2021] [Indexed: 02/07/2023]
Abstract
Stochastic gene expression causes phenotypic heterogeneity in a population of genetically identical bacterial cells. Such non-genetic heterogeneity can have important consequences for the population fitness, and therefore cells implement regulation strategies to either suppress or exploit such heterogeneity to adapt to their circumstances. By employing time-lapse microscopy of single cells, the fluctuation dynamics of gene expression may be analysed, and their regulatory mechanisms thus deciphered. However, a careful consideration of the experimental design and data-analysis is needed to produce useful data for deriving meaningful insights from them. In the present paper, the individual steps and challenges involved in a time-lapse experiment are discussed, and a rigorous framework for designing, performing, and extracting single-cell gene expression dynamics data from such experiments is outlined.
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Affiliation(s)
- Georgeos Hardo
- Department of Engineering, University of Cambridge, Cambridge, United Kingdom
| | - Somenath Bakshi
- Department of Engineering, University of Cambridge, Cambridge, United Kingdom
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4
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Aissaoui N, Lai-Kee-Him J, Mills A, Declerck N, Morichaud Z, Brodolin K, Baconnais S, Le Cam E, Charbonnier JB, Sounier R, Granier S, Ropars V, Bron P, Bellot G. Modular Imaging Scaffold for Single-Particle Electron Microscopy. ACS NANO 2021; 15:4186-4196. [PMID: 33586425 DOI: 10.1021/acsnano.0c05113] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Technological breakthroughs in electron microscopy (EM) have made it possible to solve structures of biological macromolecular complexes and to raise novel challenges, specifically related to sample preparation and heterogeneous macromolecular assemblies such as DNA-protein, protein-protein, and membrane protein assemblies. Here, we built a V-shaped DNA origami as a scaffolding molecular system to template proteins at user-defined positions in space. This template positions macromolecular assemblies of various sizes, juxtaposes combinations of biomolecules into complex arrangements, isolates biomolecules in their active state, and stabilizes membrane proteins in solution. In addition, the design can be engineered to tune DNA mechanical properties by exerting a controlled piconewton (pN) force on the molecular system and thus adapted to characterize mechanosensitive proteins. The binding site can also be specifically customized to accommodate the protein of interest, either interacting spontaneously with DNA or through directed chemical conjugation, increasing the range of potential targets for single-particle EM investigation. We assessed the applicability for five different proteins. Finally, as a proof of principle, we used RNAP protein to validate the approach and to explore the compatibility of the template with cryo-EM sample preparation.
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Affiliation(s)
- Nesrine Aissaoui
- Centre de Biochimie Structurale, CNRS UMR 5048, INSERM U1054, F-34000 Montpellier, France
- Université de Montpellier, F-34000 Montpellier, France
| | - Josephine Lai-Kee-Him
- Centre de Biochimie Structurale, CNRS UMR 5048, INSERM U1054, F-34000 Montpellier, France
- Université de Montpellier, F-34000 Montpellier, France
| | - Allan Mills
- Centre de Biochimie Structurale, CNRS UMR 5048, INSERM U1054, F-34000 Montpellier, France
- Université de Montpellier, F-34000 Montpellier, France
| | - Nathalie Declerck
- Centre de Biochimie Structurale, CNRS UMR 5048, INSERM U1054, F-34000 Montpellier, France
- Université de Montpellier, F-34000 Montpellier, France
- Departement MICA, INRA, 78352 Jouy-en-Josas, France
| | - Zakia Morichaud
- Université de Montpellier, F-34000 Montpellier, France
- IRIM, CNRS, Université Montpellier, 1919 Route de Mende, 34293 Montpellier, France
| | - Konstantin Brodolin
- Université de Montpellier, F-34000 Montpellier, France
- IRIM, CNRS, Université Montpellier, 1919 Route de Mende, 34293 Montpellier, France
| | - Sonia Baconnais
- Signalisations, Noyaux et Innovations en Cancérologie, UMR 8126, CNRS, Université Paris-Sud, Gustave Roussy, Université Paris-Saclay, 94800 Villejuif, France
| | - Eric Le Cam
- Signalisations, Noyaux et Innovations en Cancérologie, UMR 8126, CNRS, Université Paris-Sud, Gustave Roussy, Université Paris-Saclay, 94800 Villejuif, France
| | - Jean Baptiste Charbonnier
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198 Gif-sur-Yvette, France
| | - Rémy Sounier
- Université de Montpellier, F-34000 Montpellier, France
- Institut de Génomique Fonctionnelle, CNRS UMR 5203, INSERM U1191, F-34000 Montpellier, France
| | - Sébastien Granier
- Université de Montpellier, F-34000 Montpellier, France
- Institut de Génomique Fonctionnelle, CNRS UMR 5203, INSERM U1191, F-34000 Montpellier, France
| | - Virginie Ropars
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198 Gif-sur-Yvette, France
| | - Patrick Bron
- Centre de Biochimie Structurale, CNRS UMR 5048, INSERM U1054, F-34000 Montpellier, France
- Université de Montpellier, F-34000 Montpellier, France
| | - Gaetan Bellot
- Centre de Biochimie Structurale, CNRS UMR 5048, INSERM U1054, F-34000 Montpellier, France
- Université de Montpellier, F-34000 Montpellier, France
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Kędzierska B, Potrykus K, Szalewska-Pałasz A, Wodzikowska B. Insights into Transcriptional Repression of the Homologous Toxin-Antitoxin Cassettes yefM-yoeB and axe-txe. Int J Mol Sci 2020; 21:ijms21239062. [PMID: 33260607 PMCID: PMC7730913 DOI: 10.3390/ijms21239062] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 11/26/2020] [Accepted: 11/27/2020] [Indexed: 11/16/2022] Open
Abstract
Transcriptional repression is a mechanism which enables effective gene expression switch off. The activity of most of type II toxin-antitoxin (TA) cassettes is controlled in this way. These cassettes undergo negative autoregulation by the TA protein complex which binds to the promoter/operator sequence and blocks transcription initiation of the TA operon. Precise and tight control of this process is vital to avoid uncontrolled expression of the toxin component. Here, we employed a series of in vivo and in vitro experiments to establish the molecular basis for previously observed differences in transcriptional activity and repression levels of the pyy and pat promoters which control expression of two homologous TA systems, YefM-YoeB and Axe-Txe, respectively. Transcriptional fusions of promoters with a lux reporter, together with in vitro transcription, EMSA and footprinting assays revealed that: (1) the different sequence composition of the -35 promoter element is responsible for substantial divergence in strengths of the promoters; (2) variations in repression result from the TA repressor complex acting at different steps in the transcription initiation process; (3) transcription from an additional promoter upstream of pat also contributes to the observed inefficient repression of axe-txe module. This study provides evidence that even closely related TA cassettes with high sequence similarity in the promoter/operator region may employ diverse mechanisms for transcriptional regulation of their genes.
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Abstract
To date, single molecule studies have been reliant on tethering or confinement to achieve long duration and high temporal resolution measurements. Here, we present a 3D single-molecule active real-time tracking method (3D-SMART) which is capable of locking on to single fluorophores in solution for minutes at a time with photon limited temporal resolution. As a demonstration, 3D-SMART is applied to actively track single Atto 647 N fluorophores in 90% glycerol solution with an average duration of ~16 s at count rates of ~10 kHz. Active feedback tracking is further applied to single proteins and nucleic acids, directly measuring the diffusion of various lengths (99 to 1385 bp) of single DNA molecules at rates up to 10 µm2/s. In addition, 3D-SMART is able to quantify the occupancy of single Spinach2 RNA aptamers and capture active transcription on single freely diffusing DNA. 3D-SMART represents a critical step towards the untethering of single molecule spectroscopy. Single molecule observation has been limited to tethered molecules to ensure that the target remains in the field of view (FOV). Here, the authors develop a real-time tracking method that locks onto rapidly diffusing targets and tracks them in a 3D volume, enabling single molecules to remain in the FOV for minutes at a time.
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7
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Zhang Q, Wen F, Zhang S, Jin J, Bi L, Lu Y, Li M, Xi XG, Huang X, Shen B, Sun B. The post-PAM interaction of RNA-guided spCas9 with DNA dictates its target binding and dissociation. SCIENCE ADVANCES 2019; 5:eaaw9807. [PMID: 31763447 PMCID: PMC6853773 DOI: 10.1126/sciadv.aaw9807] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 09/17/2019] [Indexed: 05/19/2023]
Abstract
Cas9 is an RNA-guided endonuclease that targets complementary DNA for cleavage and has been repurposed for many biological usages. Cas9 activities are governed by its direct interactions with DNA. However, information about this interplay and the mechanism involved in its direction of Cas9 activity remain obscure. Using a single-molecule approach, we probed Cas9/sgRNA/DNA interactions along the DNA sequence and found two stable interactions flanking the protospacer adjacent motif (PAM). Unexpectedly, one of them is located approximately 14 base pairs downstream of the PAM (post-PAM interaction), which is beyond the apparent footprint of Cas9 on DNA. Loss or occupation of this interaction site on DNA impairs Cas9 binding and cleavage. Consistently, a downstream helicase could readily displace DNA-bound Cas9 by disrupting this relatively weak post-PAM interaction. Our work identifies a critical interaction of Cas9 with DNA that dictates its binding and dissociation, which may suggest distinct strategies to modulate Cas9 activity.
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Affiliation(s)
- Qian Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
- Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fengcai Wen
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
- Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Siqi Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
- Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiachuan Jin
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - Lulu Bi
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Ying Lu
- University of Chinese Academy of Sciences, Beijing 100049, China
- Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
| | - Ming Li
- University of Chinese Academy of Sciences, Beijing 100049, China
- Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
| | - Xu-Guang Xi
- LBPA, IDA, ENS de Cachan, CNRS, Université Paris-Saclay, Cachan F-94235, France
| | - Xingxu Huang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Bin Shen
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - Bo Sun
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
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8
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Transition from stochastic events to deterministic ensemble average in electron transfer reactions revealed by single-molecule conductance measurement. Proc Natl Acad Sci U S A 2019; 116:3407-3412. [PMID: 30737288 DOI: 10.1073/pnas.1814825116] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Electron transfer reactions can now be followed at the single-molecule level, but the connection between the microscopic and macroscopic data remains to be understood. By monitoring the conductance of a single molecule, we show that the individual electron transfer reaction events are stochastic and manifested as large conductance fluctuations. The fluctuation probability follows first-order kinetics with potential dependent rate constants described by the Butler-Volmer relation. Ensemble averaging of many individual reaction events leads to a deterministic dependence of the conductance on the external electrochemical potential that follows the Nernst equation. This study discloses a systematic transition from stochastic kinetics of individual reaction events to deterministic thermodynamics of ensemble averages and provides insights into electron transfer processes of small systems, consisting of a single molecule or a small number of molecules.
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Zananiri R, Malik O, Rudnizky S, Gaydar V, Kreiserman R, Henn A, Kaplan A. Synergy between RecBCD subunits is essential for efficient DNA unwinding. eLife 2019; 8:e40836. [PMID: 30601118 PMCID: PMC6338465 DOI: 10.7554/elife.40836] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 01/01/2019] [Indexed: 12/12/2022] Open
Abstract
The subunits of the bacterial RecBCD act in coordination, rapidly and processively unwinding DNA at the site of a double strand break. RecBCD is able to displace DNA-binding proteins, suggesting that it generates high forces, but the specific role of each subunit in the force generation is unclear. Here, we present a novel optical tweezers assay that allows monitoring the activity of RecBCD's individual subunits, when they are part of an intact full complex. We show that RecBCD and its subunits are able to generate forces up to 25-40 pN without a significant effect on their velocity. Moreover, the isolated RecD translocates fast but is a weak helicase with limited processivity. Experiments at a broad range of [ATP] and forces suggest that RecD unwinds DNA as a Brownian ratchet, rectified by ATP binding, and that the presence of the other subunits shifts the ratchet equilibrium towards the post-translocation state.
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Affiliation(s)
- Rani Zananiri
- Faculty of BiologyTechnion – Israel Institute of TechnologyHaifaIsrael
| | - Omri Malik
- Faculty of BiologyTechnion – Israel Institute of TechnologyHaifaIsrael
- Russell Berrie Nanotechnology InstituteTechnion – Israel Institute of TechnologyHaifaIsrael
| | - Sergei Rudnizky
- Faculty of BiologyTechnion – Israel Institute of TechnologyHaifaIsrael
| | - Vera Gaydar
- Faculty of BiologyTechnion – Israel Institute of TechnologyHaifaIsrael
| | - Roman Kreiserman
- Faculty of BiologyTechnion – Israel Institute of TechnologyHaifaIsrael
- Faculty of PhysicsTechnion – Israel Institute of TechnologyHaifaIsrael
| | - Arnon Henn
- Faculty of BiologyTechnion – Israel Institute of TechnologyHaifaIsrael
| | - Ariel Kaplan
- Faculty of BiologyTechnion – Israel Institute of TechnologyHaifaIsrael
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