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| 1 | Herbal decoctosome is a novel form of medicine显示文摘Traditionally, herbal medicine is consumed by drinking decoctions produced by boiling herbs with water. The functional components of the decoction are heat stable. Small RNAs(sRNAs) were reported as a new class of functional components in decoctions. However, the mechanisms by which sRNAs survive heat treatment of the decoction and enter cells are unclear.Previous studies showed that plant-derived exosome-like nanoparticles(ELNs), which we call botanosomes, could deliver therapeutic reagents in vivo. Here, we report that heat-stable decoctosomes(ELNs) from decoctions have more therapeutic effects than the decoctions in vitro and demonstrate therapeutic efficacy in vivo. Furthermore, sRNAs, such as HJT-sRNA-m7 and PGY-sRNA-6, in the decoctosome exhibit potent anti-fibrosis and anti-inflammatory effects, respectively. Decoctosome is comprised of lipids, chemical compounds, proteins, and s RNAs. A medical decoctosome mimic is called bencaosome. A single lipid sphinganine(d22:0) identified in the decoctosome was mixed and heated with the synthesized sRNAs to form the simplest bencaosome. This simple bencaosome structure was identified by critical micelle concentration(cmc) assay that sRNAs coassembled with sphinganine(d22:0) to form the lipid layers of vesicles. The heating process facilitates co-assembly of sRNAs and sphinganine(d22:0) until a steady state is reached. The artificially produced sphinganine-HJT-sRNA-m7 and sphinganinePGY-sRNA-6 bencaosomes could ameliorate bleomycin-induced lung fibrosis and poly(I:C)-induced lung inflammation, respectively, following oral administration in mice. Our study not only demonstrates that the herbal decoctosome may represent a combinatory remedy in precision medicine but also provides an effective oral delivery route for nucleic acid therapy. | Xiaoyun Li Zhu Liang Jianchao Du Zhiqing Wang Song Mei Zhiqing Li Yan Zhao DANDan Zhao Yiming Ma Jun Ye Jiantao Xu Yu Zhao Jiahui Chang Yuhao Qin Lanlan Yu Chenxuan Wang Chengyu Jiang | 2019 | Science China(Life Sciences)2019，62，3： | 26 |
| 2 | Genome-scale detection of hypermethylated CpG islands in circulating cell-free DNA of hepatocellular carcinoma patients显示文摘 | Lu Wen Jingyi Li Huahu Guo Xiaomeng Liu Shengmin Zheng Dafang Zhang Weihua Zhu Jianhui Qu Limin Guo Dexiao Du Xiao Jin Yuhao Zhang Yun Gao Jie Shen Hao Ge Fuchou Tang Yanyi Huang Jirun Peng | 2015 | Cell Research2015，25，11： | 19 |
| 3 | Large-scale analysis of small RNAs derived from traditional Chinese herbs in human tissues显示文摘Plant-derived microRNAs have recently been reported to function in human blood and tissues. Controversy was immediately raised due to possible contamination and the lack of large sample sizes. Here, we report thousands of unique small RNAs derived from traditional Chinese medicine(TCM) herbs found in human blood cells and mouse lung tissues using a large-scale analysis.We extracted small RNAs from decoctions of 10 TCM plants(Ban Zhi Lian, Chai Hu, Chuan Xin Lian, Di Ding Zi Jin, Huang Qin, Jin Yin Hua, Lian Qiao, Pu Gong Ying, Xia Ku Cao, and Yu Xing Cao) and obtained millions of RNA sequences from each herb. We also obtained RNA-Seq data from the blood cells of humans who consumed herbal decoctions and from the lung tissues of mice administered RNAs from herbal decoctions via oral gavage. We identified thousands of unique small RNA sequences in human blood cells and mouse lung tissues. Some of these identified small RNAs from Chuan Xin Lian and Hong Jing Tian could be mapped to the genomes of the herbs, confirming their TCM plant origin. Small RNAs derived from herbs regulate mammalian gene expression in a sequence-specific manner, and thus are a superior novel class of herbal drug components that hold great potential as oral gene-targeted therapeutics, highlighting the important role of herbgenomics in their development. | Fengming Huang Jianchao Du Zhu Liang Zhichao Xu Jiantao Xu Yan Zhao Yexuan Lin Song Mei Quan He Jindong Zhu Qiang Liu Yanxu Zhang Yuhao Qin Wei Sun Jingyuan Song Shilin Chen Chengyu Jiang | 2019 | Science China(Life Sciences)2019，62，3： | 14 |
| 4 | A comprehensive analysis of the Bencao(herbal)small RNA Atlas reveals novel RNA therapeutics for treating human diseases显示文摘Cross-kingdom herbal mi RNA was first reported in 2012.Using a modified herbal extraction protocol,we obtained 73,677,287sequences by RNA-seq from 245 traditional Chinese Medicine(TCM),of which 20,758,257 were unique sequences.We constructed a Bencao(herbal)small RNA(s RNA)Atlas(http://gffzz4a3adbfa122d4a47h99vxoppcbuqn6oq6.ffgz.tsg.suse.edu.cn),annotated the sequences by sequence-based clustering,and created a nomenclature system for Bencao s RNAs.The profiles of 21,757 mi RNAs in the Atlas were highly consistent with those of plant mi RNAs in mi RBase.Using software tools,our results demonstrated that all human genes might be regulated by s RNAs from the Bencao s RNA Atlas,part of the predicted human target genes were experimentally validated,suggesting that Bencao s RNAs might be one of the main bioactive components of herbal medicines.We established roadmaps for oligonucleotide drugs development and optimization of TCM prescriptions.Moreover,the decoctosome,a lipo-nano particle consisting of 0.5%–2.5%of the decoction,demonstrated potent medical effects.We propose a Bencao(herbal)Index,including small-molecule compounds(SM),protein peptides(P),nucleic acid(N),non-nucleic and non-proteinogenic large-molecule compounds(LM)and elements from Mendeleev's periodic table(E),to quantitatively measure the medical effects of botanic medicine.The Bencao s RNA Atlas is a resource for developing gene-targeting oligonucleotide drugs and optimizing botanical medicine,and may provide potential remedies for the theory and practice of one medicine. | Yinghao Cao Yexuan Lin Na Sun Xinyi Du Yixin Dong Song Mei Xingyu Deng Xiaobei Li Shaoting Guo Kegong Tang Jiaqi Liu Xiangyu Qiao Dandan Zhao Yuhao Qin Cong Zhang Tianyi Xin Xiaohu Shi Congzhao Zhou Tao Dong De-an Guo Benedikt MKessler Dong Xu Jingyuan Song Fengming Huang Xiaoyue Wang Chengyu Jiang | 2023 | Science China(Life Sciences)2023，66，10： | 2 |
| 5 | Erratum to:Herbal decoctosome is a novel form of medicine显示文摘Following the published article,we noticed an error duplication in Figure 5G“control”and“PGY-6”that was introduced during the revised process,with an attempt to replace it with higher-resolution images.Here we provide the original data in the first submitted manuscript(Figure 5G). | Xiaoyun Li Zhu Liang Jianchao Du Zhiqing Wang Song Mei Zhiqing Li Yan Zhao Dandan Zhao Yiming Ma Jun Ye Jiantao Xu Yu Zhao Jiahui Chang Yuhao Qin Lanlan Yu Chenxuan Wang Chengyu Jiang | 2020 | Science China(Life Sciences)2020，63，9： | 2 |
| 6 | Crimped nanofiber scaffold mimicking tendon-to-bone interface for fatty-infiltrated massive rotator cuff repair显示文摘Electrospun fibers,with proven ability to promote tissue regeneration,are widely being explored for rotator cuff repairing.However,without post treatment,the microstructure of the electrospun scaffold is vastly different from that of natural extracellular matrix(ECM).Moreover,during mechanical loading,the nanofibers slip that hampers the proliferation and differentiation of migrating stem cells.Here,electrospun nanofiber scaffolds,with crimped nanofibers and welded joints to biomimic the intricate natural microstructure of tendon-to-bone insertion,were prepared using poly(ester-urethane)urea and gelatin via electrospinning and double crosslinking by a multi-bonding network densification strategy.The crimped nanofiber scaffold(CNS)features bionic tensile stress and induces chondrogenic differentiation,laying credible basis for in vivo experimentation.After repairing a rabbit massive rotator cuff tear using a CNS for 3 months,the continuous translational tendon-to-bone interface was fully regenerated,and fatty infiltration was simultaneously inhibited.Instead of micro-CT,μCT was employed to visualize the integrity and intricateness of the three-dimensional microstructure of the CNS-induced-healed tendon-to-bone interface at an ultra-high resolution of less than 1μm.This study sheds light on the correlation between nanofiber post treatment and massive rotator cuff repair and provides a general strategy for crimped nanofiber preparation and tendon-to-bone interface imaging characterization. | Liren Wang Tonghe Zhu Yuhao Kang Jianguang Zhang Juan Du Haihan Gao Sihao Chen Jia Jiang Jinzhong Zhao | 2022 | Bioactive Materials2022，7，10： | 2 |
| 7 | Antiferromagnetic spintronics: An overview and outlook显示文摘Over the pas few decades,the diversified development of antiferomagnetic spintronics has made antiferomagnets(AFMs)interesting and very useful.After tough challenges,the applications of AFMs in electronic devices have transitioned from focusing on the interface coupling features to achieving the manipulation and detection of AFMs.As AFMs are internally magnetic,taking full use of AFMs for information storage has been the main target of research.In this paper,we provide a comprehensive description of AFM spintronics applications from the interface coupling,read-out operations,and writing manipulations perspective.We examine the early use of AFMs in magnetic recordings and conventional magnetoresistive random-access memory(MRAM),and review the latest mechanisms of the manipulation and detection of AFMs.Finally,based on exchange bias(EB)manipulation,a high-performance EB-MRAM is introduced as the next generation of AFM-based memories,which provides an effective method for read-out and writing of AFMs and opens a new era for AFM spintronics. | Danrong Xionga Yuhao Jiang Kewen Shi Ao Du Yuxuan Yao Zongxia Guo Daoqian Zhu Kaihua Cao Shouzhong Peng Wenlong Cai Dapeng Zhu Weisheng Zhao | 2022 | Fundamental Research2022，2，4： | 1 |
| 8 | Defects inducing anomalous exciton kinetics in monolayer WS_(2)显示文摘Two-dimensional(2D)transition metal dichalcogenide(TMD)has emerged as an effective optoelectronics material due to its novel optical properties.Understanding the role of defects in exciton kinetics is crucial for achieving high-efficiency TMD devices.Here,we observe defects induced anomalous power dependence exciton dynamics and spatial distribution in hexagonal heterogeneous WS_(2).With transient absorption microscopy study,we illustrate that these phenomena originate from the competition between radiative and defect-related non-radiative decays.To understand the physics behind this,a decay model is introduced with two defect-related channels,which demonstrates that more excitons decay through non-radiative channels in the dark region than the bright region.Our work reveals the mechanisms of anomalous exciton kinetics by defects and is instrumental for understanding and exploiting excitonic states in emerging 2D semiconductors. | Zhe Li Yan Zeng Zhenwei Ou Tianzhu Zhang Rongguang Du Ke Wu Quanbing Guo Wei Jiang Yuhao Xu Tao Li Tai Min Ti Wang Hongxing Xu | 2022 | Nano Research2022，15，2： | 0 |
| 9 | Acoustic characteristics analysis of slender cavity system with arbitrary impedance end conditions显示文摘A modeling method for the dynamic characteristics analysis of a slender acoustical cavity with impedance end conditions is established. In order to satisfy the continuity requirement at impedance ends for the first order differential of sound pressure, field function is constructed as the standard Fourier series supplemented by boundary smoothed auxiliary polynomials. System characteristic equation is derived by solving the governing differential equation and impedance acoustic boundary of slender acoustical cavity system simultaneously,relevant acoustical modal information is obtained via the state space solution procedure. In numerical simulation, various acoustic variables, such as acoustical modal frequency, sound pressure modal shape, sound pressure response and the particle velocity, are presented for the slender acoustical cavity system with different boundary conditions and compared with those results in the existing literature. The correctness and effectiveness of the proposed method are then fully validated. | XING Xue DU Jingtao ZHAO Yuhao LIU Zhigang | 2020 | Chinese Journal of Acoustics2020，39，2： | 0 |
| 10 | Longitudinal Vibration Analysis of Elastically Coupled Nanorods System with General Boundary Supports显示文摘In this paper,an accurate series solution for the longitudinal vibration analysis of elastically coupled nanorods system is established,in which artificial springs are introduced to simulate such general coupling and boundary conditions.Energy formulation is derived for the description of axial dynamics of multiple coupled nanorods based on Eringen nonlocal elasticity.For each nanorod component,its longitudinal vibration displacement function is invariantly assumed as the superposition of Fourier series and boundary smoothed supplementary polynomials,with the aim to make all the spatial differential sufficiently continuous across each rod.All the unknown coefficients are determined in conjunction with Rayleigh-Ritz procedure to solve a standard eigenvalue matrix.Numerical results are presented for the particular cases of twonanorod and three-nanorod systems to demonstrate the correctness and effectiveness of the proposed model.Excellent agreements can be repeatedly observed in comparison with those from other approaches available in literature.Based on the model established,influence of elastic boundary and coupling conditions on the longitudinal modal characteristics of multiple nanorods system is investigated and addressed.This work can provide an efficient energy-based modeling framework for longitudinal vibration analysis of elastically connected nanorod system with complicated boundary conditions. | Deshui Xu Jingtao Du Yuhao Zhao | 2019 | Sound & Vibration2019，53，2： | 0 |
| 11 | Visually Intracellular Detection of Telomerase Activity Based on DNA Strand Displacement Reaction and Gold Nanoparticle Labeling显示文摘Telomerase,which is regarded as a common biomarker for early cancer diagnostics and a potential target for clinical therapies,has attracted considerable interests concerning its detection and monitoring.Herein,we propose a sensitive method by designing a gold nanoparticle(AuNP)probe for visually intracellular detection of telomerase activity.The AuNPs were functionalized with a telomer-ase substrate primer(SH-prime).A 6-carboxy-fluorescein(FAM)modified strand(FAM-probe)was attached to the surface of AuNP through its complementary stand(SH-attach).In the absence of telomerase,the fluorescence resonance energy transfer(FRET)from FAM to AuNPs results in efficient fluorescence quenching.In the presence of telomerase,SH-primers on AuNPs were extended with the repeat units(TTAGGGG)n.The extension sequence triggered the strand displacement of FAM-probe to restore the fluorescence signals.It is worth mentioning that the proposed strategy does not need to design complex hairpin structure and allows the meas-urement of telomerase in crude cell extracts down to 0.5 HeLa cells/μL in 2 h.In addition,the present sensing platform can be ap-plied to the visually intracellular detection of telomerase activity in living cells. | Yajun Zhang Shen Yan Zhaoxin Chen Xin Jiang Shuang Rao Zhuoran Jiang Shanshan Qin Xiang Zhou Yuhao Du | 2022 | Chinese Journal of Chemistry2022，40，6： | 0 |
| 12 | Continuous-Time Channel Prediction Based on Tensor Neural Ordinary Differential Equation显示文摘Channel prediction is critical to address the channel aging issue in mobile scenarios.Existing channel prediction techniques are mainly designed for discrete channel prediction,which can only predict the future channel in a fixed time slot per frame,while the other intra-frame channels are usually recovered by interpolation.However,these approaches suffer from a serious interpolation loss,especially for mobile millimeter-wave communications.To solve this challenging problem,we propose a tensor neural ordinary differential equation(TN-ODE)based continuous-time channel prediction scheme to realize the direct prediction of intra-frame channels.Specifically,inspired by the recently developed continuous mapping model named neural ODE in the field of machine learning,we first utilize the neural ODE model to predict future continuous-time channels.To improve the channel prediction accuracy and reduce computational complexity,we then propose the TN-ODE scheme to learn the structural characteristics of the high-dimensional channel by low-dimensional learnable transform.Simulation results show that the proposed scheme is able to achieve higher intra-frame channel prediction accuracy than existing schemes. | Mingyao Cui Hao Jiang Yuhao Chen Yang Du Linglong Dai | 2024 | China Communications2024，21，1： | 0 |
| 13 | Molecular Scaffold Growth of Two-Dimensional, Strong Interlayer-Bonding-Layered Materials显示文摘Currently,most two-dimensional(2D)materials that are of interest to emergent applications have focused on van der Waals–layered materials(VLMs)because of the ease with which the layers can be separated(e.g.,graphene).Strong interlayer-bonding-layered materials(SLMs)in general have not been thoroughly explored,and one of the most critical present issues is the huge challenge of their preparation,although their physicochemical proper-ty transformation should be richer than VLMs and deserves greater attention.MAX phases are a classi-cal kind of SLM. | Mengqi Zeng Yunxu Chen Enze Zhang Jiaxu Li Rafael G.Mendes Xiahan Sang Shulin Luo Wenmei Ming Yuhao Fu Mao-Hua Du Lijun Zhang David S.Parker Raymond R.Unocic Kai Xiao Chenglai Wang Tao Zhang Yao Xiao Mark H,Rummeli Faxian Xiu Lei Fu | 2019 | CCS Chemistry2019，1，1： | 0 |
| 14 | RPS15 interacted with IGF2BP1 to promote esophageal squamous cell carcinoma development via recognizing m^(6)A modification显示文摘Increased rates of ribosome biogenesis have been recognized as hallmarks of many cancers and are associated with poor prognosis.Using a CRISPR synergistic activation mediator(SAM)system library targeting 89 ribosomal proteins(RPs)to screen for the most oncogenic functional RPs in human esophageal squamous cell carcinoma(ESCC),we found that high expression of RPS15 correlates with malignant phenotype and poor prognosis of ESCC. | Yahui Zhao Yang Li Rui Zhu Riyue Feng Heyang Cui Xiao Yu Furong Huang Ruixiang Zhang Xiankai Chen Lei Li Yinghui Chen Yuhao Liu Jinhua Wang Guanhua Du Zhihua Liu | 2023 | Signal Transduction and Targeted Therapy2023，8，7： | 0 |
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