317 results on '"Jiye, Shi"'
Search Results
2. High-entropy alloy nanopatterns by prescribed metallization of DNA origami templates
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Mo Xie, Weina Fang, Zhibei Qu, Yang Hu, Yichi Zhang, Jie Chao, Jiye Shi, Lihua Wang, Lianhui Wang, Yang Tian, Chunhai Fan, and Huajie Liu
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Science - Abstract
Morphology, composition, and uniformity of highly entropic nanoalloys are critical to their properties and applications. Here, the authors develop a DNA origami-based metallization reaction concept for the precise synthesis of multimetallic nanopatterns.
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- 2023
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3. Habitat Suitability and Determinants for Anatidae in Multi-Watershed Composite Wetlands in Anhui, China
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Jiye Shi, Lei Meng, Shanshan Xia, Song Liu, and Lizhi Zhou
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habitat suitability ,MaxEnt ,Anatidae ,wildlife ,epidemic sources ,Anhui Province ,Veterinary medicine ,SF600-1100 ,Zoology ,QL1-991 - Abstract
Habitat suitability analysis is essential in habitat and species conservation. Anatidae are known for their migratory behaviour, high population density, and wide distribution range. Understanding their habitat utilzation and influencing factors is crucial in targeted conservation and management. In this study, we collected Anatidae diversity data, including the number of species, through field surveys from October 2021 to March 2022 and thirty habitat variables through an online database in Anhui Province, China. By using MaxEnt, we simulated the habitat suitability of twenty-one Anatidae species, revealing potential distribution sites in Anhui Province. Generalized linear mixed models (GLMM) were employed to identify factors affecting the distribution of geese and ducks. The results showed that high-suitability habitats were predominantly located in the large lakes of the Yangtze River floodplain. The GLMM analysis showed significant correlations between Anatidae richness and altitude, distribution of farmland, and human footprint. In addition, ducks were more sensitive to the human interference factor than geese. In summary, the lakes in the Yangtze River floodplain emerged as the most important Anatidae habitats in Anhui Province due to their abundant wetland resources, flat terrain, and high distribution of farmlands. These findings provide a scientific basis for the development of relevant conservation strategies and measures, aiding in wildlife epidemic monitoring, prevention, and control.
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- 2024
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4. Reconstructing Soma–Soma Synapse-like Vesicular Exocytosis with DNA Origami
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Jiangbo Liu, Min Li, Fan Li, Zhilei Ge, Qian Li, Mengmeng Liu, Jiye Shi, Lihua Wang, Xiaolei Zuo, Chunhai Fan, and Xiuhai Mao
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Chemistry ,QD1-999 - Published
- 2021
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5. Programming bulk enzyme heterojunctions for biosensor development with tetrahedral DNA framework
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Ping Song, Juwen Shen, Dekai Ye, Baijun Dong, Fei Wang, Hao Pei, Jianbang Wang, Jiye Shi, Lihua Wang, Wei Xue, Yiran Huang, Gang Huang, Xiaolei Zuo, and Chunhai Fan
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Science - Abstract
Tetrahedral DNA framework-enabled bulk enzyme heterojunctions have been used to program biosensor interfaces. Here, the authors use DNA tetrahedrons to tether enzymes of an enzymatic cascade to gold electrodes, hence raising them over the bulk solution, which led to improved kinetics and sensitivity.
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- 2020
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6. Implementing digital computing with DNA-based switching circuits
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Fei Wang, Hui Lv, Qian Li, Jiang Li, Xueli Zhang, Jiye Shi, Lihua Wang, and Chunhai Fan
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Science - Abstract
DNA strand displacement reactions can be difficult to scale up for computational tasks. Here the authors develop DNA switching circuits that achieve high-speed computing with fewer molecules.
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- 2020
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7. Conformation of the Macrocyclic Drug Lorlatinib in Polar and Nonpolar Environments: A MD Simulation and NMR Study
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Cheng Peng, Yoseph Atilaw, Jinan Wang, Zhijian Xu, Vasanthanathan Poongavanam, Jiye Shi, Jan Kihlberg, Weiliang Zhu, and Máté Erdélyi
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Chemistry ,QD1-999 - Published
- 2019
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8. Nanomechanical Induction of Autophagy‐Related Fluorescence in Single Cells with Atomic Force Microscopy
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Bin Li, Yuhui Wei, Qian Li, Nan Chen, Jiang Li, Lin Liu, Jinjin Zhang, Ying Wang, Yanhong Sun, Jiye Shi, Lihua Wang, Zhifeng Shao, Jun Hu, and Chunhai Fan
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atomic force microscopy ,autophagy ,fluorescence ,intercellular transmission ,nanoacupuncture ,Science - Abstract
Abstract Mechanistic understanding of how living systems sense, transduce, and respond to mechanical cues has important implications in development, physiology, and therapy. Here, the authors use an integrated atomic force microscope (AFM) and brightfield/epifluorescent microscope platform to precisely simulate living single cells or groups of cells under physiological conditions, in real time, concomitantly measuring the single‐cell autophagic response and its transmission to neighboring cells. Dual‐color fluorescence monitoring of the cellular autophagic response reveals the dynamics of autophagosome formation, degradation, and induction in neighboring contacting and noncontacting cells. Autophagosome formation is dependent on both the applied force and contact area of the AFM tip. More importantly, the enhancement of the autophagic responses in neighboring cells via a gap junction‐dependent mechanism is observed. This AFM‐based nanoacupuncture platform can serve as a tool for elucidating the primary mechanism underlying mechanical stimulation of living systems and other biomechanical therapeutics.
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- 2021
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9. Programming crystallization kinetics of self-assembled DNA crystals with 5-methylcytosine modification.
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Jielin Chen, Zheze Dai, Hui Lv, Zhongchao Jin, Yuqing Tang, Xiaodong Xie, Jiye Shi, Fei Wang, Qian Li, Xiaoguo Liu, and Chunhai Fan
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CRYSTALLIZATION kinetics ,METHYLCYTOSINE ,NUCLEIC acid hybridization ,DNA structure ,DNA ,SELF-publishing - Abstract
Self-assembled DNA crystals offer a precise chemical platform at the ångström-scale for DNA nanotechnology, holding enormous potential in material separation, catalysis, and DNA data storage. However, accurately controlling the crystallization kinetics of such DNA crystals remains challenging. Herein, we found that atomic-level 5-methylcytosine (5mC) modification can regulate the crystallization kinetics of DNA crystal by tuning the hybridization rates of DNA motifs. We discovered that by manipulating the axial and combination of 5mC modification on the sticky ends of DNA tensegrity triangle motifs, we can obtain a series of DNA crystals with controllable morphological features. Through DNA-PAINT and FRET-labeled DNA strand displacement experiments, we elucidate that atomic-level 5mC modification enhances the affinity constant of DNA hybridization at both the single-molecule and macroscopic scales. This enhancement can be harnessed for kinetic-driven control of the preferential growth direction of DNA crystals. The 5mC modification strategy can overcome the limitations of DNA sequence design imposed by limited nucleobase numbers in various DNA hybridization reactions. This strategy provides a new avenue for the manipulation of DNA crystal structure, valuable for the advancement of DNA and biomacromolecular crystallography. [ABSTRACT FROM AUTHOR]
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- 2024
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10. DNA origami cryptography for secure communication
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Yinan Zhang, Fei Wang, Jie Chao, Mo Xie, Huajie Liu, Muchen Pan, Enzo Kopperger, Xiaoguo Liu, Qian Li, Jiye Shi, Lihua Wang, Jun Hu, Lianhui Wang, Friedrich C. Simmel, and Chunhai Fan
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Science - Abstract
Biomolecular cyptography that exploits specific interactions could be used for data encryption. Here the authors use the folding of M13 DNA to encrypt information for secure communication.
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- 2019
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11. Programming chain-growth copolymerization of DNA hairpin tiles for in-vitro hierarchical supramolecular organization
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Honglu Zhang, Yu Wang, Huan Zhang, Xiaoguo Liu, Antony Lee, Qiuling Huang, Fei Wang, Jie Chao, Huajie Liu, Jiang Li, Jiye Shi, Xiaolei Zuo, Lihua Wang, Lianhui Wang, Xiaoyu Cao, Carlos Bustamante, Zhongqun Tian, and Chunhai Fan
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Science - Abstract
Formation of biological filaments via intracellular supramolecular polymerization of proteins occurs under programmable and spatiotemporal control to maintain integrity. Here the authors devise a bioinspired isothermal chain-growth approach to programmably copolymerize DNA hairpin tiles into 1D nanofilaments.
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- 2019
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12. Modulating Target Protein Biology Through the Re-mapping of Conformational Distributions Using Small Molecules
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Alastair D. G. Lawson, Malcolm MacCoss, Dominique L. Baeten, Alex Macpherson, Jiye Shi, and Alistair J. Henry
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protein-protein interactions ,conformational sampling ,conformational distributions ,conformer ,allosteric ,small molecule ,Chemistry ,QD1-999 - Abstract
Over the last 10 years considerable progress has been made in the application of small molecules to modulating protein-protein interactions (PPIs), and the navigation from “undruggable” to a host of candidate molecules in clinical trials has been well-charted in recent, comprehensive reviews. Structure-based design has played an important role in this scientific journey, with three dimensional structures guiding medicinal chemistry efforts. However, the importance of two additional dimensions: movement and time is only now being realised, as increasing computing power, closely aligned with wet lab validation, is applied to the challenge. Protein dynamics are fundamental to biology and disease, and application to PPI drug discovery has massively widened the scope for new chemical entities to influence function from allosteric, and previously unreported, sites. In this forward-looking perspective we highlight exciting, new opportunities for small molecules to modulate disease biology, by adjusting the frequency profile of natural conformational sampling, through the stabilisation of clinically desired conformers of target proteins.
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- 2021
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13. The Promise of AI for DILI Prediction
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Andreu Vall, Yogesh Sabnis, Jiye Shi, Reiner Class, Sepp Hochreiter, and Günter Klambauer
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artificial intelligence ,machine learning ,neural networks ,deep learning ,drug-induced liver injury ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
Drug-induced liver injury (DILI) is a common reason for the withdrawal of a drug from the market. Early assessment of DILI risk is an essential part of drug development, but it is rendered challenging prior to clinical trials by the complex factors that give rise to liver damage. Artificial intelligence (AI) approaches, particularly those building on machine learning, range from random forests to more recent techniques such as deep learning, and provide tools that can analyze chemical compounds and accurately predict some of their properties based purely on their structure. This article reviews existing AI approaches to predicting DILI and elaborates on the challenges that arise from the as yet limited availability of data. Future directions are discussed focusing on rich data modalities, such as 3D spheroids, and the slow but steady increase in drugs annotated with DILI risk labels.
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- 2021
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14. Public Baseline and shared response structures support the theory of antibody repertoire functional commonality.
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Matthew I J Raybould, Claire Marks, Aleksandr Kovaltsuk, Alan P Lewis, Jiye Shi, and Charlotte M Deane
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Biology (General) ,QH301-705.5 - Abstract
The naïve antibody/B-cell receptor (BCR) repertoires of different individuals ought to exhibit significant functional commonality, given that most pathogens trigger an effective antibody response to immunodominant epitopes. Sequence-based repertoire analysis has so far offered little evidence for this phenomenon. For example, a recent study estimated the number of shared ('public') antibody clonotypes in circulating baseline repertoires to be around 0.02% across ten unrelated individuals. However, to engage the same epitope, antibodies only require a similar binding site structure and the presence of key paratope interactions, which can occur even when their sequences are dissimilar. Here, we search for evidence of geometric similarity/convergence across human antibody repertoires. We first structurally profile naïve ('baseline') antibody diversity using snapshots from 41 unrelated individuals, predicting all modellable distinct structures within each repertoire. This analysis uncovers a high (much greater than random) degree of structural commonality. For instance, around 3% of distinct structures are common to the ten most diverse individual samples ('Public Baseline' structures). Our approach is the first computational method to find levels of BCR commonality commensurate with epitope immunodominance and could therefore be harnessed to find more genetically distant antibodies with same-epitope complementarity. We then apply the same structural profiling approach to repertoire snapshots from three individuals before and after flu vaccination, detecting a convergent structural drift indicative of recognising similar epitopes ('Public Response' structures). We show that Antibody Model Libraries derived from Public Baseline and Public Response structures represent a powerful geometric basis set of low-immunogenicity candidates exploitable for general or target-focused therapeutic antibody screening.
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- 2021
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15. Ab-Ligity: identifying sequence-dissimilar antibodies that bind to the same epitope
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Wing Ki Wong, Sarah A. Robinson, Alexander Bujotzek, Guy Georges, Alan P. Lewis, Jiye Shi, James Snowden, Bruck Taddese, and Charlotte M. Deane
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Antibody ,paratope ,structure ,comparison ,Therapeutics. Pharmacology ,RM1-950 ,Immunologic diseases. Allergy ,RC581-607 - Abstract
Solving the structure of an antibody-antigen complex gives atomic level information of the interactions between an antibody and its antigen, but such structures are expensive and hard to obtain. Alternative experimental sources include epitope mapping and binning experiments, which can be used as a surrogate to identify key interacting residues. However, their resolution is usually not sufficient to identify if two antibodies have identical interactions. Computational approaches to this problem have so far been based on the premise that antibodies with similar sequences behave similarly. Such approaches will fail to identify sequence-distant antibodies that target the same epitope. Here, we present Ab-Ligity, a structure-based similarity measure tailored to antibody-antigen interfaces. Using predicted paratopes on model antibody structures, we assessed its ability to identify those antibodies that target highly similar epitopes. Most antibodies adopting similar binding modes can be identified from sequence similarity alone, using methods such as clonotyping. In the challenging subset of antibodies whose sequences differ significantly, Ab-Ligity is still able to predict antibodies that would bind to highly similar epitopes (precision of 0.95 and recall of 0.69). We compared Ab-Ligity’s performance to an existing tool for comparing general protein interfaces, InterComp, and showed improved performance on antibody cases achieved in a substantially reduced time. These results suggest that Ab-Ligity will allow the identification of diverse (sequence-dissimilar) antibodies that bind to the same epitopes from large datasets such as immune repertoires. The tool is available at http://opig.stats.ox.ac.uk/resources.
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- 2021
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16. Author Correction: Programming bulk enzyme heterojunctions for biosensor development with tetrahedral DNA framework
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Ping Song, Juwen Shen, Dekai Ye, Baijun Dong, Fei Wang, Hao Pei, Jianbang Wang, Jiye Shi, Lihua Wang, Wei Xue, Yiran Huang, Gang Huang, Xiaolei Zuo, and Chunhai Fan
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Science - Published
- 2022
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17. Nanodiamond autophagy inhibitor allosterically improves the arsenical-based therapy of solid tumors
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Zhifen Cui, Yu Zhang, Kai Xia, Qinglong Yan, Huating Kong, Jichao Zhang, Xiaolei Zuo, Jiye Shi, Lihua Wang, Ying Zhu, and Chunhai Fan
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Science - Abstract
Arsenic trioxide (ATO) based therapy in solid cancers is limited. Here they repurpose nanodiamonds (NDs) as a safe and potent autophagic inhibitor to improve the efficacy of ATO-based treatment in solid tumors and show the combination therapy to work better in orthotopic liver cancer model.
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- 2018
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18. The Cloudlet Accelerator: Bringing Mobile-Cloud Face Recognition into Real-Time.
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Nathaniel Powers, Alexander Alling, Kiara Osolinsky, Tolga Soyata, Meng Zhu, Haoliang Wang, He Ba, Wendi B. Heinzelman, Jiye Shi, and Minseok Kwon
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- 2015
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19. Real-time visualization of clustering and intracellular transport of gold nanoparticles by correlative imaging
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Mengmeng Liu, Qian Li, Le Liang, Jiang Li, Kun Wang, Jiajun Li, Min Lv, Nan Chen, Haiyun Song, Joon Lee, Jiye Shi, Lihua Wang, Ratnesh Lal, and Chunhai Fan
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Science - Abstract
The interaction of nanoparticles intracellularly has been investigated widely but the mechanisms of such interactions are not fully understood. Here, the authors utilize a semi-quantitative technique to assess the intracellular transportation and clustering potential of nanoparticles in real-time.
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- 2017
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20. A multi-crystal method for extracting obscured crystallographic states from conventionally uninterpretable electron density
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Nicholas M. Pearce, Tobias Krojer, Anthony R. Bradley, Patrick Collins, Radosław P. Nowak, Romain Talon, Brian D. Marsden, Sebastian Kelm, Jiye Shi, Charlotte M. Deane, and Frank von Delft
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Science - Abstract
Building a ligand into a weak region of an electron density map of a protein is a subjective process. Here, the authors present a new method to obtain a clear electron density for a bound ligand based on multi-crystal experiments and 3D background correction.
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- 2017
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21. DNA-framework-based multidimensional molecular classifiers for cancer diagnosis
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Fangfei Yin, Haipei Zhao, Shasha Lu, Juwen Shen, Min Li, Xiuhai Mao, Fan Li, Jiye Shi, Jiang Li, Baijun Dong, Wei Xue, Xiaolei Zuo, Xiurong Yang, and Chunhai Fan
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Biomedical Engineering ,General Materials Science ,Bioengineering ,Electrical and Electronic Engineering ,Condensed Matter Physics ,Atomic and Molecular Physics, and Optics - Published
- 2023
22. Use of Network Latency Profiling and Redundancy for Cloud Server Selection.
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Minseok Kwon, Zuochao Dou, Wendi B. Heinzelman, Tolga Soyata, He Ba, and Jiye Shi
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- 2014
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23. Phase transferring luminescent gold nanoclusters via single-stranded DNA
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Yu Li, Hui Lu, Zhibei Qu, Mingqiang Li, Haoran Zheng, Peilin Gu, Jiye Shi, Jiang Li, Qian Li, Lihua Wang, Jing Chen, Chunhai Fan, and Jianlei Shen
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General Chemistry - Published
- 2022
24. Investigating the potential for a limited quantum speedup on protein lattice problems
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Carlos Outeiral, Garrett M Morris, Jiye Shi, Martin Strahm, Simon C Benjamin, and Charlotte M Deane
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quantum annealing ,protein folding ,quantum optimisation ,biophysics ,NISQ ,Science ,Physics ,QC1-999 - Abstract
Protein folding is a central challenge in computational biology, with important applications in molecular biology, drug discovery and catalyst design. As a hard combinatorial optimisation problem, it has been studied as a potential target problem for quantum annealing. Although several experimental implementations have been discussed in the literature, the computational scaling of these approaches has not been elucidated. In this article, we present a numerical study of quantum annealing applied to a large number of small peptide folding problems, aiming to infer useful insights for near-term applications. We present two conclusions: that even naïve quantum annealing, when applied to protein lattice folding, has the potential to outperform classical approaches, and that careful engineering of the Hamiltonians and schedules involved can deliver notable relative improvements for this problem. Overall, our results suggest that quantum algorithms may well offer improvements for problems in the protein folding and structure prediction realm.
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- 2021
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25. Chemical Flocculation-Based Green Algae Materials for Photobiological Hydrogen Production
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Jie Chen, Yujie Li, Mingrui Li, Jiye Shi, Lihua Wang, Shihua Luo, and Huajie Liu
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Biomaterials ,Biochemistry (medical) ,Biomedical Engineering ,Flocculation ,Chlorella ,General Chemistry ,Photosynthesis ,Photobiology ,Hydrogen - Abstract
Photobiological hydrogen production is among the most promising ways toward the mass production of hydrogen energy. The use of green algal aggregates to produce photobiological hydrogen has attracted much attention because it overcomes the limitations of sulfur deprivation and oxygen scavengers. However, the current preparation of green algal aggregates that are capable of hydrogen production is time-consuming and laborious, leading to a difficulty in large-scale applications. Here, we demonstrated that the chemical flocculation of green algae is able to generate aggregates for photobiological hydrogen production. We find that
- Published
- 2022
26. Benzyl-rich ligand engineering of the photostability of atomically precise gold nanoclusters
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Hui Lu, Bin Chen, Yu Li, Jiye Shi, Jiang Li, Lihua Wang, Shihua Luo, Chunhai Fan, Jianlei Shen, and Jing Chen
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Materials Chemistry ,Metals and Alloys ,Ceramics and Composites ,General Chemistry ,Catalysis ,Surfaces, Coatings and Films ,Electronic, Optical and Magnetic Materials - Abstract
The stability of Au8 nanoclusters is enhanced after modification by benzyl-rich ligands, which have better performance as cell imaging agents.
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- 2022
27. Mechano-fluorescence actuation in single synaptic vesicles with a DNA framework nanomachine
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Jiangbo Liu, Xinxin Jing, Mengmeng Liu, Fan Li, Min Li, Qian Li, Jiye Shi, Jiang Li, Lihua Wang, Xiuhai Mao, Xiaolei Zuo, and Chunhai Fan
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Control and Optimization ,Artificial Intelligence ,Mechanical Engineering ,Computer Science Applications - Abstract
Biomimetic machines that can convert mechanical actuation to adaptive coloration in a manner analogous to cephalopods have found widespread applications at various length scales. At the nanoscale, a transmutable nanomachine with adaptive colors that can sense and mediate cellular or intracellular interactions is highly desirable. Here, we report the design of a DNA framework nanomachine (DFN) that can autonomously change shape in response to pH variations in single synaptic vesicles, which, in turn, displays adaptive fluorescent colors with a mechano-fluorescence actuation mechanism. To construct a DFN, we used a tetrahedral DNA nanostructure as the framework to incorporate an embedded pH-responsive, i-motif sequence tagged with a Förster resonance energy transfer pair and an affinity cholesterol moiety targeting vesicular membranes. We found that endocytosed DFNs are individually trapped in single endocytic vesicles in living synaptic cells due to the size-exclusion effect. The adaptive fluorescence coloration of DFNs enabled single-vesicle quantification of resting pH values in a processive manner, allowing long-term tracking of the exocytosis and fusion dynamics in intracellular processes and cell-cell communications.
- Published
- 2022
28. Mobile computing - A green computing resource.
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He Ba, Wendi Rabiner Heinzelman, Charles-Antoine Janssen, and Jiye Shi
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- 2013
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29. Structurally Mapping Antibody Repertoires
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Konrad Krawczyk, Sebastian Kelm, Aleksandr Kovaltsuk, Jacob D. Galson, Dominic Kelly, Johannes Trück, Cristian Regep, Jinwoo Leem, Wing K. Wong, Jaroslaw Nowak, James Snowden, Michael Wright, Laura Starkie, Anthony Scott-Tucker, Jiye Shi, and Charlotte M. Deane
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antibody specificity ,B-cell receptor ,next-generation sequencing ,structural homology ,protein ,bioinformatics tools ,Immunologic diseases. Allergy ,RC581-607 - Abstract
Every human possesses millions of distinct antibodies. It is now possible to analyze this diversity via next-generation sequencing of immunoglobulin genes (Ig-seq). This technique produces large volume sequence snapshots of B-cell receptors that are indicative of the antibody repertoire. In this paper, we enrich these large-scale sequence datasets with structural information. Enriching a sequence with its structural data allows better approximation of many vital features, such as its binding site and specificity. Here, we describe the structural annotation of antibodies pipeline that maps the outputs of large Ig-seq experiments to known antibody structures. We demonstrate the viability of our protocol on five separate Ig-seq datasets covering ca. 35 m unique amino acid sequences from ca. 600 individuals. Despite the great theoretical diversity of antibodies, we find that the majority of sequences coming from such studies can be reliably mapped to an existing structure.
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- 2018
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30. DNA‐Encoded Gold‐Gold Wettability for Programmable Plasmonic Engineering
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Tingting Zhai, Haoran Zheng, Weina Fang, Zhaoshuai Gao, Shiping Song, Xiaolei Zuo, Qian Li, Lihua Wang, Jiang Li, Jiye Shi, Xiaoguo Liu, Yang Tian, Jianlei Shen, and Chunhai Fan
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Wettability ,Nanoparticles ,Metal Nanoparticles ,Gold ,DNA ,General Chemistry ,General Medicine ,Catalysis ,Nanostructures - Abstract
Controlling the deposition and diffusion of adsorbed atoms (adatoms) on the surface of a solid material is vital for engineering the shape and function of nanocrystals. Here, we report the use of single-stranded DNA (oligo-adenine, oligo-A) to encode the wettability of gold seeds by homogeneous gold adatoms to synthesize highly tunable plasmonic nanostructures. We find that the oligo-A attachment transforms the nanocrystal growth mode from the classical Frank-van der Merwe to the Volmer-Weber island growth. Finely tuning the oligo-A density can continuously change the gold-gold contact angle (θ) from 35.1±3.6° to 125.3±8.0°. We further demonstrate the versatility of this strategy for engineering nanoparticles with different curvature and dimensions. With this unconventional growth mode, we synthesize a sub-nanometer plasmonic cavity with a geometrical singularity when θ90°. Superfocusing of light in this nanocavity produces a near-infrared intraparticle plasmonic coupling, which paves the way to surface engineering of single-particle plasmonic devices.
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- 2022
31. Encoding Fluorescence Anisotropic Barcodes with DNA Frameworks
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Qian Li, Bin Chen, Xiaolei Zuo, Jia-Jun Li, Chunhai Fan, Lei Liu, Qiuling Huang, Lihua Wang, Jianlei Shen, Jiye Shi, and Jiang Li
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chemistry.chemical_classification ,Biomolecule ,Optical Imaging ,Fluorescence Polarization ,DNA ,General Chemistry ,Biochemistry ,Environmental variation ,Fluorescence ,Catalysis ,Mice ,chemistry.chemical_compound ,Colloid and Surface Chemistry ,chemistry ,Encoding (memory) ,Tumor Cells, Cultured ,Nucleic acid ,Biophysics ,Animals ,Anisotropy ,Fluorescence anisotropy ,Fluorescent Dyes - Abstract
Fluorescence anisotropy (FA) holds great potential for multiplexed analysis and imaging of biomolecules since it can effectively discriminate fluorophores with overlapping emission spectra. Nevertheless, its susceptibility to environmental variation hampers its widespread applications in biology and biotechnology. In this study, we design FA DNA frameworks (FAFs) by scaffolding fluorophores in a fluorescent protein-like microenvironment. We find that the FA stability of the fluorophores is remarkably improved due to the sequestration effects of FAFs. The FA level of the fluorophores can be finely tuned when placed at different locations on an FAF, analogous to spectral shifts of protein-bound fluorophores. The high programmability of FAFs further enables the design of a spectrum of encoded FA barcodes for multiplexed sensing of nucleic acids and multiplexed labeling of live cells. This FAF system thus establishes a new paradigm for designing multiplexing FA probes for cellular imaging and other biological applications.
- Published
- 2021
32. Reconstructing Soma–Soma Synapse-like Vesicular Exocytosis with DNA Origami
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Jiye Shi, Mengmeng Liu, Zhilei Ge, Qian Li, Xiaolei Zuo, Chunhai Fan, Lihua Wang, Fan Li, Min Li, Xiuhai Mao, and Jiangbo Liu
- Subjects
Chemistry ,General Chemical Engineering ,General Chemistry ,Exocytosis ,Synapse ,medicine.anatomical_structure ,Biophysics ,medicine ,DNA origami ,Membrane vesicle ,Soma ,QD1-999 ,Research Article - Abstract
Cell–cell communications exhibit distinct physiological functions in immune responses and neurotransmitter signaling. Nevertheless, the ability to reconstruct a soma–soma synapse-like junction for probing intercellular communications remains difficult. In this work, we develop a DNA origami nanostructure-based method for establishing cell conjugation, which consequently facilitates the reconstruction of a soma–soma synapse-like junction. We demonstrate that intercellular communications including small molecule and membrane vesicle exchange between cells are maintained in the artificially designed synapse-like junction. By inserting the carbon fiber nanometric electrodes into the soma–soma synapse-like junction, we accomplish the real-time monitoring of individual vesicular exocytotic events and obtain the information on vesicular exocytosis kinetics via analyzing the parameters of current spikes. This strategy provides a versatile platform to study synaptic communications., A soma−soma synapse-like junction was constructed via DNA origami nanostructures. A carbon fiber nanoelectrode was inserted into the junction for vesicular exocytotic monitoring.
- Published
- 2021
33. Probing Heterogeneous Folding Pathways of DNA Origami Self-Assembly at the Molecular Level with Atomic Force Microscopy
- Author
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Jianhua Wang, Yuhui Wei, Ping Zhang, Yue Wang, Qinglin Xia, Xiaoguo Liu, Shihua Luo, Jiye Shi, Jun Hu, Chunhai Fan, Bin Li, Lihua Wang, Xingfei Zhou, and Jiang Li
- Subjects
Mechanical Engineering ,Nanotechnology ,Nucleic Acid Conformation ,General Materials Science ,Bioengineering ,General Chemistry ,DNA ,Condensed Matter Physics ,Microscopy, Atomic Force ,Nanostructures - Abstract
A myriad of DNA origami nanostructures have been demonstrated in various intriguing applications. In pursuit of facile yet high-yield synthesis, the mechanisms underlying DNA origami folding need to be resolved. Here, we visualize the folding processes of several multidomain DNA origami structures under ambient annealing conditions in solution using atomic force microscopy with submolecular resolution. We reveal the coexistence of diverse transitional structures that might result in the same prescribed products. Based on the experimental observations and the simulation of the energy landscapes, we propose the heterogeneity of the folding pathways of multidomain DNA origami structures. Our findings may contribute to understanding the high-yield folding mechanism of DNA origami.
- Published
- 2022
34. DNA Origami‐Based Single‐Molecule CRISPR Machines for Spatially Resolved Searching
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Yaya Hao, Mingqiang Li, Qian Zhang, Jiye Shi, Jiang Li, Qian Li, Chunhai Fan, and Fei Wang
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Nanotechnology ,General Chemistry ,DNA ,General Medicine ,CRISPR-Cas Systems ,DNA Cleavage ,Endonucleases ,Catalysis ,RNA, Guide, Kinetoplastida - Abstract
Repurposing the RNA-guided endonuclease Cas9 to develop artificial CRISPR molecular machines represents a new direction toward synthetic molecular information processing. The operation of CRISPR-Cas9-based machines, nevertheless, relies on the molecular recognition of freely diffused sgRNA/Cas9, making it practically challenging to perform spatially regulated localized searching or navigation. Here, we develop a DNA origami-based single-molecule CRISPR machine that can perform spatially resolved DNA cleavage via either free or localized searching modes. When triggered at a specific site on the DNA origami with nanoscale accuracy, the free searching mode leads to searching activity that gradually decays with the distance, whereas the localized mode generates spatially-confined searching activity. Our work expands the function of CRISPR molecular machines and lays foundations to develop integrated molecular circuits and high-throughput nucleic acid detection.
- Published
- 2022
35. Multichannel Immunosensor Platform for the Rapid Detection of SARS-CoV-2 and Influenza A(H1N1) Virus
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Shiping Song, Hao Rongzhang, Rongtao Zhao, Rui Lin, Hongbin Song, Yi Yang, Jianyong Li, Lihua Wang, Yi Zhou, and Jiye Shi
- Subjects
Materials science ,medicine.drug_class ,Point-of-care testing ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Hemagglutinin (influenza) ,Biosensing Techniques ,Monoclonal antibody ,Sensitivity and Specificity ,Horseradish peroxidase ,Virus ,03 medical and health sciences ,Influenza A Virus, H1N1 Subtype ,0302 clinical medicine ,multichannel ,Antigen ,differential diagnosis ,Influenza, Human ,medicine ,Humans ,General Materials Science ,030212 general & internal medicine ,030304 developmental biology ,immunosensor ,Immunoassay ,0303 health sciences ,biology ,SARS-CoV-2 ,COVID-19 ,virus diseases ,Electrochemical Techniques ,Virology ,Point-of-Care Testing ,biology.protein ,Antibody ,Research Article ,influenza A(H1N1) virus - Abstract
The coronavirus disease 2019 (COVID-19) can present a similar syndrome to an influenza infection, which may complicate diagnosis and clinical management of these two important respiratory infectious diseases, especially during the peak season of influenza. A rapid and convenient point-of-care test (POCT) for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and influenza virus is of great importance for prompt and efficient control of these respiratory epidemics. Herein, a multichannel electrochemical immunoassay (MEIA) platform was developed based on a disposable screen-printed carbon electrode (SPCE) array for the on-site detection of SARS-CoV-2 and A(H1N1). The developed MEIA was constructed with eight channels and allowed rapid detection on a single array. On the SPCE surface, monoclonal antibodies against influenza A(H1N1) hemagglutinin (HA) protein or SARS-CoV-2 spike protein were coated to capture the target antigens, which then interacted with a horseradish peroxidase (HRP)-labeled detection antibody to form an immuno-sandwich complex. The results showed that the MEIA exhibited a broader linear range than ELISA and comparable sensitivity for A(H1N1) HA and SARS-CoV-2 spike protein. The detection results on 79 clinical samples for A(H1N1) suggested that the proposed MEIA platform showed comparable results with ELISA in sensitivity (with a positive rate of 100% for positive samples) but higher specificity, with a false-positive rate of 5.4% for negative samples versus that of 40.5% with ELISA. Thus, it offers great potential for the on-the-spot differential diagnosis of infected patients, which would significantly benefit the efficient control and prevent the spread of these infectious diseases in communities or resource-limited regions in the future.
- Published
- 2021
36. Probing Transient DNA Conformation Changes with an Intercalative Fluorescent Excimer
- Author
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Jianlei Shen, Qiuling Huang, Xiaolei Zuo, Chunhai Fan, Jiye Shi, Bin Chen, Lihua Wang, Jiang Li, Qian Li, Cong Li, and Zhibei Qu
- Subjects
Models, Molecular ,010405 organic chemistry ,Intercalation (chemistry) ,General Medicine ,DNA ,General Chemistry ,010402 general chemistry ,Excimer ,01 natural sciences ,Fluorescence ,Catalysis ,0104 chemical sciences ,chemistry.chemical_compound ,Monomer ,Plasmid ,Microscopy, Fluorescence ,chemistry ,Fluorescence microscope ,Biophysics ,Nucleic Acid Conformation ,A-DNA ,Fluorescent Dyes ,Plasmids - Abstract
Variation of DNA conformation is important in regulating gene expression and mediating drug-DNA interactions. However, directly probing transient DNA conformation changes is challenging owing to the dynamic nature of this process. We show a label-free fluorescence method to monitor transient DNA conformation changes in DNA structures with various lengths and shapes using a DNA intercalator, K21. K21 can form transient excimers on the surface of DNA; the ratiometric emission of monomer and excimer correlate to DNA transient conformation stability in numerous DNA structures, including i-motifs, G-quadruplex structures, and single nucleotide mutation at random position. We analyzed the conformation dynamics of a single plasmid before and after enzyme digestion with confocal fluorescence microscopy. This method provides a label-free fluorescence strategy to probe transient conformation changes of DNA structures and has potential in uncovering transient genomic processes in living cells.
- Published
- 2021
37. Scaling Up Multi-bit DNA Full Adder Circuits with Minimal Strand Displacement Reactions
- Author
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Nuli Xie, Mingqiang Li, Yue Wang, Hui Lv, Jiye Shi, Jiang Li, Qian Li, Fei Wang, and Chunhai Fan
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Computers, Molecular ,Colloid and Surface Chemistry ,Logic ,General Chemistry ,DNA ,Electronics ,Biochemistry ,Catalysis ,Algorithms - Abstract
DNA logic circuits are based on DNA molecular programming that implements specific algorithms using dynamic reaction networks. Particularly, DNA adder circuits are key building blocks for performing digital computation. Nevertheless, existing circuit architectures are limited by scalability for implementing multi-bit adder due to the number of required gates and strands. Here, we develop a compact-yet-efficient architecture using cooperative strand displacement reactions (cSDRs) to construct DNA full adder. By exploiting a parity-check algorithm, double-logic XOR-AND gates are constructed with a single set of double-stranded molecule. One-bit full adder is implemented with three gates containing 13 strands, with up to 90% reduction in strand complexity compared to conventional circuit designs. Using this architecture and a transmitter on magnetic beads, we demonstrate DNA implementation of 6-bit adder on a scale comparable to that of a classic electronic full adder chip, providing the potential for application-specific circuit customization for scalable digital computing with minimal reactions.
- Published
- 2022
38. Directing Multivalent Aptamer‐Receptor Binding on the Cell Surface with Programmable Atom‐Like Nanoparticles
- Author
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Linjie Guo, Yueyue Zhang, Yue Wang, Mo Xie, Jiangbing Dai, Zhibei Qu, Mo Zhou, Shuting Cao, Jiye Shi, Lihua Wang, Xiaolei Zuo, Chunhai Fan, and Jiang Li
- Subjects
Cell Membrane ,Nanoparticles ,General Medicine ,General Chemistry ,Aptamers, Nucleotide ,Ligands ,Catalysis - Abstract
Multivalent interactions of biomolecules play pivotal roles in physiological and pathological settings. Whereas the directionality of the interactions is crucial, the state-of-the-art synthetic multivalent ligand-receptor systems generally lack programmable approaches for orthogonal directionality. Here, we report the design of programmable atom-like nanoparticles (aptPANs) to direct multivalent aptamer-receptor binding on the cell interface. The positions of the aptamer motifs can be prescribed on tetrahedral DNA frameworks to realize atom-like orthogonal valence and direction, enabling the construction of multivalent molecules with fixed aptamer copy numbers but different directionality. These directional-yet-flexible aptPAN molecules exhibit the adaptability to the receptor distribution on cell surfaces. We demonstrate the high-affinity tumor cell binding with a linear aptPAN oligomer (≈13-fold improved compared to free aptamers), which leads to ≈50 % suppression of cell growth.
- Published
- 2022
39. Examining the Conservation of Kinks in Alpha Helices.
- Author
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Eleanor C Law, Henry R Wilman, Sebastian Kelm, Jiye Shi, and Charlotte M Deane
- Subjects
Medicine ,Science - Abstract
Kinks are a structural feature of alpha-helices and many are known to have functional roles. Kinks have previously tended to be defined in a binary fashion. In this paper we have deliberately moved towards defining them on a continuum, which given the unimodal distribution of kink angles is a better description. From this perspective, we examine the conservation of kinks in proteins. We find that kink angles are not generally a conserved property of homologs, pointing either to their not being functionally critical or to their function being related to conformational flexibility. In the latter case, the different structures of homologs are providing snapshots of different conformations. Sequence identity between homologous helices is informative in terms of kink conservation, but almost equally so is the sequence identity of residues in spatial proximity to the kink. In the specific case of proline, which is known to be prevalent in kinked helices, loss of a proline from a kinked helix often also results in the loss of a kink or reduction in its kink angle. We carried out a study of the seven transmembrane helices in the GPCR family and found that changes in kinks could be related both to subfamilies of GPCRs and also, in a particular subfamily, to the binding of agonists or antagonists. These results suggest conformational change upon receptor activation within the GPCR family. We also found correlation between kink angles in different helices, and the possibility of concerted motion could be investigated further by applying our method to molecular dynamics simulations. These observations reinforce the belief that helix kinks are key, functional, flexible points in structures.
- Published
- 2016
- Full Text
- View/download PDF
40. Programmable Live‐Cell CRISPR Imaging with Toehold‐Switch‐Mediated Strand Displacement
- Author
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Fei Wang, Jiang Li, Luhao Zhang, Qian Li, Jiye Shi, Xueli Zhang, Chunhai Fan, Ali Aldalbahi, Lihua Wang, and Yaya Hao
- Subjects
Computer science ,Computational biology ,010402 general chemistry ,01 natural sciences ,Genome ,Catalysis ,Genome engineering ,chemistry.chemical_compound ,DNA nanotechnology ,Humans ,CRISPR ,Guide RNA ,Subgenomic mRNA ,Gene Editing ,Genome, Human ,010405 organic chemistry ,Cas9 ,General Medicine ,General Chemistry ,Single Molecule Imaging ,0104 chemical sciences ,Kinetics ,chemistry ,Nucleic Acid Conformation ,CRISPR-Cas Systems ,DNA ,RNA, Guide, Kinetoplastida - Abstract
The widespread application of CRISPR-Cas9 has transformed genome engineering. Nevertheless, the precision to control the targeting activity of Cas9 requires further improvement. We report a toehold-switch-based approach to engineer the conformation of single guide RNA (sgRNA) for programmable activation of Cas9. This activation circuit is responsive to multiple inputs and can regulate the conformation of the sgRNA through toehold-switch-mediated strand displacement. We demonstrate the orthogonal suppression and activation of Cas9 with orthogonal DNA inputs. Combination of toehold switches leads to a variety of intracellular Cas9 activation programs with simultaneous and orthogonal responses, through which multiple genome loci are displayed in different colors in a controllable manner. This approach provides a new route for programing CRISPR in living cells for genome imaging and engineering.
- Published
- 2020
41. Encapsulation and release of living tumor cells using hydrogels with the hybridization chain reaction
- Author
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Xueli Zhang, Dekai Ye, Min Li, Qian Li, Fei Wang, Jiye Shi, Xiuhai Mao, Hua Wang, Ping Song, Tingting Zhai, Lihua Wang, Xiaolei Zuo, Chunhai Fan, Zhilei Ge, and Lu Song
- Subjects
0303 health sciences ,Chemistry ,Epithelial cell adhesion molecule ,medicine.disease ,General Biochemistry, Genetics and Molecular Biology ,03 medical and health sciences ,Nucleic acid thermodynamics ,chemistry.chemical_compound ,0302 clinical medicine ,Circulating tumor cell ,Cell culture ,Self-healing hydrogels ,Biophysics ,medicine ,Liquid biopsy ,Cell damage ,030217 neurology & neurosurgery ,DNA ,030304 developmental biology - Abstract
Circulating tumor cells (CTCs) enable noninvasive liquid biopsy and identification of cancer. Various approaches exist for the capture and release of CTCs, including microfluidic methods and those involving magnetic beads or nanostructured solid interfaces. However, the concomitant cell damage and fragmentation that often occur during capture make it difficult to extensively characterize and analyze living CTCs. Here, we describe an aptamer-trigger-clamped hybridization chain reaction (atcHCR) method for the capture of CTCs by porous 3D DNA hydrogels. The 3D environment of the DNA networks minimizes cell damage, and the CTCs can subsequently be released for live-cell analysis. In this protocol, initiator DNAs with aptamer-toehold biblocks specifically bind to the epithelial cell adhesion molecule (EpCAM) on the surface of CTCs, which triggers the atcHCR and the formation of a DNA hydrogel. The DNA hydrogel cloaks the CTCs, facilitating quantification with minimal cell damage. This method can be used to quantitively identify as few as 10 MCF-7 cells in a 2-µL blood sample. Decloaking of tumor cells via gentle chemical stimulus (ATP) is used to release living tumor cells for subsequent cell culture and live-cell analysis. We also describe how to use the protocol to encapsulate and release cells of cancer cell lines, which can be used in preliminary experiments to model CTCs. The whole protocol takes ~2.5 d to complete, including downstream cell culture and analysis.
- Published
- 2020
42. Exploring Conformational Change of Adenylate Kinase by Replica Exchange Molecular Dynamic Simulation
- Author
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Jinan Wang, Jiye Shi, Weiliang Zhu, Cai Tingting, Cheng Peng, Yuqu Yu, Zhaoqiang Chen, Qiang Shao, and Zhijian Xu
- Subjects
0303 health sciences ,Conformational change ,Chemistry ,Replica ,Acceptance rate ,Adenylate Kinase ,Temperature ,Biophysics ,Proteins ,Adenylate kinase ,Articles ,Molecular Dynamics Simulation ,03 medical and health sciences ,Molecular dynamics ,0302 clinical medicine ,Solvents ,Biological system ,030217 neurology & neurosurgery ,030304 developmental biology - Abstract
Replica exchange molecular dynamics (REMD) simulation is a popular enhanced sampling method that is widely used for exploring the atomic mechanism of protein conformational change. However, the requirement of huge computational resources for REMD, especially with the explicit solvent model, largely limits its application. In this study, the availability and efficiency of a variant of velocity-scaling REMD (vsREMD) was assessed with adenylate kinase as an example. Although vsREMD achieved results consistent with those from conventional REMD and experimental studies, the number of replicas required for vsREMD (30) was much less than that for conventional REMD (80) to achieve a similar acceptance rate (∼0.2), demonstrating high efficiency of vsREMD to characterize the protein conformational change and associated free-energy profile. Thus, vsREMD is a highly efficient approach for studying the large-scale conformational change of protein systems.
- Published
- 2020
43. Implementing digital computing with DNA-based switching circuits
- Author
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Lihua Wang, Hui Lv, Xueli Zhang, Chunhai Fan, Jiang Li, Jiye Shi, Qian Li, and Fei Wang
- Subjects
Computer science ,Computation ,Science ,General Physics and Astronomy ,02 engineering and technology ,Information technology ,010402 general chemistry ,01 natural sciences ,General Biochemistry, Genetics and Molecular Biology ,Article ,Set (abstract data type) ,Computers, Molecular ,Electricity ,Computer Simulation ,Boolean function ,lcsh:Science ,Design paradigm ,Synthetic biology ,Electronic circuit ,Multidisciplinary ,Computers ,food and beverages ,General Chemistry ,DNA ,021001 nanoscience & nanotechnology ,Expression (mathematics) ,0104 chemical sciences ,DNA computing ,Computer architecture ,Logic gate ,lcsh:Q ,Routing (electronic design automation) ,0210 nano-technology ,Algorithms - Abstract
DNA strand displacement reactions (SDRs) provide a set of intelligent toolboxes for developing molecular computation. Whereas SDR-based logic gate circuits have achieved a high level of complexity, the scale-up for practical achievable computational tasks remains a hurdle. Switching circuits that were originally proposed by Shannon in 1938 and nowadays widely used in telecommunication represent an alternative and efficient means to realize fast-speed and high-bandwidth communication. Here we develop SDR-based DNA switching circuits (DSCs) for implementing digital computing. Using a routing strategy on a programmable DNA switch canvas, we show that arbitrary Boolean functions can be represented by DSCs and implemented with molecular switches with high computing speed. We further demonstrate the implementation of full-adder and square-rooting functions using DSCs, which only uses down to 1/4 DNA strands as compared with a dual-rail logic expression-based design. We expect that DSCs provide a design paradigm for digital computation with biomolecules., DNA strand displacement reactions can be difficult to scale up for computational tasks. Here the authors develop DNA switching circuits that achieve high-speed computing with fewer molecules.
- Published
- 2020
44. Frontispiece: Water‐Dispersible Gold Nanoclusters: Synthesis Strategies, Optical Properties, and Biological Applications
- Author
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Yu Li, Tingting Zhai, Jing Chen, Jiye Shi, Lihua Wang, Jianlei Shen, and Xiaoguo Liu
- Subjects
Organic Chemistry ,General Chemistry ,Catalysis - Published
- 2022
45. Impact of Graphene Exposure on Microbial Activity and Community Ecosystem in Saliva
- Author
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Wenjun Xia, Chunhai Fan, Lihua Wang, Chenglie Lin, Zisheng Tang, Liping Wang, Yuting Shi, Sheng-Zhong Duan, Yan Zou, Yi Zhou, Zhengnan Qi, Jiye Shi, Min Lv, Jingyang Guo, and Shima Liu
- Subjects
Biomaterials ,stomatognathic diseases ,Saliva ,Microbial population biology ,Chemistry ,Graphene ,law ,Environmental chemistry ,Biochemistry (medical) ,Biomedical Engineering ,Ecosystem ,General Chemistry ,law.invention - Abstract
Graphene-based nanomaterials (GMs) are served as great promising agents for the prevention and therapy of infectious diseases. However, their dental applications remain to be evaluated, especially under the context of the oral microbial community. Here, we examined the exposure-response of salivary bacterial community to two types of GMs, that is, graphene oxide (GO) and GO-silver nanoparticles (AgNPs). Both GO and GO-AgNPs showed lethal effect against salivary bacteria in a concentration-dependent manner, and the antibacterial capacity of GO-AgNPs is superior to GO. Interestingly, the salivary bacterial community enhanced the tolerance to GMs as compared to homogeneous bacteria. High-throughput sequencing revealed that both 80 μg/mL GO and 20 μg/mL GO-AgNPs significantly altered the biodiversity of salivary bacterial community. Especially, they increased the relative abundance of Gram-positive bacteria compared to the untreated sample, notably
- Published
- 2022
46. Conformation of the Macrocyclic Drug Lorlatinib in Polar and Nonpolar Environments: A MD Simulation and NMR Study
- Author
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Jan Kihlberg, Weiliang Zhu, Zhijian Xu, Máté Erdélyi, Jinan Wang, Jiye Shi, Vasanthanathan Poongavanam, Cheng Peng, and Yoseph Atilaw
- Subjects
Organisk kemi ,Aqueous solution ,Chloroform ,Chemistry ,Hydrogen bond ,General Chemical Engineering ,Organic Chemistry ,General Chemistry ,Lorlatinib ,Article ,chemistry.chemical_compound ,Molecular dynamics ,Membrane ,Computational chemistry ,Polar ,QD1-999 ,Conformational isomerism - Abstract
The replica exchange molecular dynamics (REMD) simulation is demonstrated to readily predict the conformations of the macrocyclic drug lorlatinib, as validated by solution NMR studies. In aqueous solution, lorlatinib adopts a conformer identical to its target bound structure. This conformer is stabilized by an extensive hydrogen bond network to the solvents. In chloroform, lorlatinib populates two conformers with the second one being less polar, which may contribute to lorlatinib’s ability to cross cell membranes. De 2 första författarna delar förstaförfattarskapet
- Published
- 2019
47. Driving DNA Origami Assembly with a Terahertz Wave
- Author
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Chao Zhang, Yifang Yuan, Kaijie Wu, Yue Wang, Shitai Zhu, Jiye Shi, Lihua Wang, Qian Li, Xiaolei Zuo, Chunhai Fan, Chao Chang, and Jiang Li
- Subjects
Mechanical Engineering ,General Materials Science ,Bioengineering ,Hydrogen Bonding ,General Chemistry ,DNA ,Condensed Matter Physics ,Vibration - Abstract
Terahertz (THz) waves show nontrivial interactions with living systems, but the underlying molecular mechanisms have yet to be explored. Here, we employ DNA origami as a model system to study the interactions between THz waves and DNA structures. We find that a 3-min THz illumination (35.2 THz) can drive the unwinding of DNA duplexes at ∼10 °C below their melting point. Computational study reveals that the THz wave can resonate with the vibration of DNA bases, provoking the hydrogen bond breaking. The cooperation of thermal and nonthermal effects allows the unfolding of undesired secondary structures and the THz illumination can generate diverse DNA origami assemblies with the yield (80%) ∼ 4-fold higher than that by the contact heating at similar temperatures. We also demonstrate the in situ assembly of DNA origami in cell lysate. This method enables remotely controllable assembly of intact biomacromolecules, providing new insight into the bioeffects of THz waves.
- Published
- 2021
48. Recent Advances in Prescribing Chiral Plasmonics with DNA Frameworks
- Author
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Xiaoling Hou, Yinan Zhang, Jiye Shi, Lihua Wang, and Huajie Liu
- Subjects
Biomaterials ,Renewable Energy, Sustainability and the Environment ,Materials Chemistry ,Energy Engineering and Power Technology - Published
- 2021
49. Water‐Dispersible Gold Nanoclusters: Synthesis Strategies, Optical Properties, and Biological Applications
- Author
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Jiye Shi, Tingting Zhai, Chen Jing, Xiaoguo Liu, Yu Li, Lihua Wang, and Jianlei Shen
- Subjects
Water dispersible ,Aqueous solution ,Chemistry ,business.industry ,Organic Chemistry ,Metal Nanoparticles ,Water ,Nanotechnology ,General Chemistry ,Fluorescence ,Catalysis ,Nanostructures ,Nanomaterials ,Nanoclusters ,Template ,Photovoltaics ,Gold ,business ,Electronic energy ,Biosensor - Abstract
Atomically precise gold nanoclusters (AuNCs) are an emerging class of quantum-sized nanomaterials. Intrinsic discrete electronic energy levels have endowed them with fascinating electronic and optical properties. They have been widely applied in the fields of optoelectronics, photovoltaics, catalysis, biochemical sensing, bio-imaging, and therapeutics. Nevertheless, most AuNCs are synthesized in organic solvents and do not disperse in aqueous solutions; this restricts their biological applications. In this review, we focus on the recent progress in the preparation of water-dispersible AuNCs and their biological applications. We first review different methods of synthesis, including direct synthesis from hydrophilic templates and indirect phase transfer of hydrophobic AuNCs. We then discuss their photophysical properties, such as emission enhancement and fluorescence lifetimes. Next, we summarize their latest applications in the fields of biosensing, biolabeling, and bioimaging. Finally, we outline the challenges and potential for the future development of these AuNCs.
- Published
- 2021
50. Building a better fragment library for de novo protein structure prediction.
- Author
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Saulo H P de Oliveira, Jiye Shi, and Charlotte M Deane
- Subjects
Medicine ,Science - Abstract
Fragment-based approaches are the current standard for de novo protein structure prediction. These approaches rely on accurate and reliable fragment libraries to generate good structural models. In this work, we describe a novel method for structure fragment library generation and its application in fragment-based de novo protein structure prediction. The importance of correct testing procedures in assessing the quality of fragment libraries is demonstrated. In particular, the exclusion of homologs to the target from the libraries to correctly simulate a de novo protein structure prediction scenario, something which surprisingly is not always done. We demonstrate that fragments presenting different predominant predicted secondary structures should be treated differently during the fragment library generation step and that exhaustive and random search strategies should both be used. This information was used to develop a novel method, Flib. On a validation set of 41 structurally diverse proteins, Flib libraries presents both a higher precision and coverage than two of the state-of-the-art methods, NNMake and HHFrag. Flib also achieves better precision and coverage on the set of 275 protein domains used in the two previous experiments of the the Critical Assessment of Structure Prediction (CASP9 and CASP10). We compared Flib libraries against NNMake libraries in a structure prediction context. Of the 13 cases in which a correct answer was generated, Flib models were more accurate than NNMake models for 10. "Flib is available for download at: http://www.stats.ox.ac.uk/research/proteins/resources".
- Published
- 2015
- Full Text
- View/download PDF
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