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| 1 | Transcriptome dynamics of hippocampal neurogenesis in macaques across the lifespan and aged humans显示文摘Whether adult hippocampal neurogenesis(AHN)persists in adult and aged humans continues to be extensively debated.A major question is whether the markers identified in rodents are reliable enough to reveal new neurons and the neurogenic trajectory in primates.Here,to provide a better understanding of AHN in primates and to reveal more novel markers for distinct cell types,droplet-based single-nucleus RNA sequencing(snRNA-seq)is used to investigate the cellular heterogeneity and molecular characteristics of the hippocampi in macaques across the lifespan and in aged humans.All of the major cell types in the hippocampus and their expression profiles were identified.The dynamics of the neurogenic lineage was revealed and the diversity of astrocytes and microglia was delineated.In the neurogenic lineage,the regulatory continuum from adult neural stem cells(NSCs)to immature and mature granule cells was investigated.A group of primate-specific markers were identified.We validated ETNPPL as a primate-specific NSC marker and verified STMN1 and STMN2 as immature neuron markers in primates.Furthermore,we illustrate a cluster of active astrocytes and microglia exhibiting proinflammatory responses in aged samples.The interaction analysis and the comparative investigation on published datasets and ours imply that astrocytes provide signals inducing the proliferation,quiescence and inflammation of adult NSCs at different stages and that the proinflammatory status of astrocytes probably contributes to the decrease and variability of AHN in adults and elderly individuals. | Wei Wang Mengdi Wang Meng Yang Bo Zeng Wenying Qiu Qiang Ma Xiaoxi Jing Qianqian Zhang Bosong Wang Chonghai Yin Jiyao Zhang Yuxin Ge Yufeng Lu Weizhi Ji Qian Wu Chao Ma Xiaoqun Wang | 2022 | Cell Research2022，32，8： | 2 |
| 2 | Biomass Catalytic Pyrolysis with Ni Based Catalyst to Produce Hydrogen Rich Gas显示文摘Hydrogen rich gas was produced using rice husk as biomass material on the continuous biomass pyrolysis apparatus which consisted of continuous pyrolysis reactor and secondary catalytic cracking reactor. Ni based catalysts of different Ni/Al mass ratio and calcined temperature were prepared by impregnating method. The catalysts were characterized by X-ray diffraction (XRD), scan electron microscope (SEM) and FT-IR Spectrometer (FT-IR). Ni based catalyst showed good selectivity for H2 production from biomass. Catalysts prepared under different conditions had little influence on the yields of three states products when used at the same cracking temperature. Ni/Al mass ratio played an important role in products selectivity. However, the content of NiO increased further when Ni/Al mass ratio values reached 0.7 : 10, and the yield of H2 slightly increased. Hydrogen yield was greatly impacted by calcined temperature. Catalyst calcined at 550℃ performed best. When the catalyst was calcined at high temperature, NiO in the catalyst transformed into NiAl2O4, and the acid site also changed, which caused the deactivation of the catalyst. The hydrogen yield increased with the cracking temperature. The highest stable yield of hydrogen was about 30% without increasing with the cracking temperature. | WANG Mingfeng LIU Min XU Xiwei LI Bosong ZHANG Qiang JIAN Enchen | 2010 | Journal of Northeast Agricultural University(English Edition)2010，17，4： | 1 |
| 3 | Hip arthroplasty for failed internal fixation of intertrochanteric fractures 显示文摘 | Bosong Zhang kiD Kwong - yuen Chiu Manyi Wang MD | 2004 | The Journal of Arthroplasty2004，19，3： | 1 |
| 4 | Decoding the spatiotemporal regulation of transcription factors during human spinal cord development显示文摘The spinal cord is a crucial component of the central nervous system that facilitates sensory processing and motor performance.Despite its importance,the spatiotemporal codes underlying human spinal cord development have remained elusive.In this study,we have introduced an image-based single-cell transcription factor(TF)expression decoding spatial transcriptome method(TF-seqFISH)to investigate the spatial expression and regulation of TFs during human spinal cord development.By combining spatial transcriptomic data from TF-seqFISH and single-cell RNA-sequencing data,we uncovered the spatial distribution of neural progenitor cells characterized by combinatorial TFs along the dorsoventral axis,as well as the molecular and spatial features governing neuronal generation,migration,and differentiation along the mediolateral axis.Notably,we observed a sandwich-like organization of excitatory and inhibitory interneurons transiently appearing in the dorsal horns of the developing human spinal cord.In addition,we integrated data from 10×Visium to identify early and late waves of neurogenesis in the dorsal horn,revealing the formation of laminas in the dorsal horns.Our study also illuminated the spatial differences and molecular cues underlying motor neuron(MN)diversification,and the enrichment of Amyotrophic Lateral Sclerosis(ALS)risk genes in MNs and microglia.Interestingly,we detected disease-associated microglia(DAM)-like microglia groups in the developing human spinal cord,which are predicted to be vulnerable to ALS and engaged in the TYROBP causal network and response to unfolded proteins.These findings provide spatiotemporal transcriptomic resources on the developing human spinal cord and potential strategies for spinal cord injury repair and ALS treatment. | Yingchao Shi Luwei Huang Hao Dong Meng Yang Wenyu Ding Xiang Zhou Tian Lu Zeyuan Liu Xin Zhou Mengdi Wang Bo Zeng Yinuo Sun Suijuan Zhong Bosong Wang Wei Wang Chonghai Yin Xiaoqun Wang Qian Wu | 2024 | Cell Research2024，34，3： | 0 |
| 5 | End-cloud collaboration method enables accurate state of health and remaining useful life online estimation in lithium-ion batteries显示文摘Though the lithium-ion battery is universally applied,the reliability of lithium-ion batteries remains a challenge due to various physicochemical reactions,electrode material degradation,and even thermal runaway.Accurate estimation and prediction of battery health conditions are crucial for battery safety management.In this paper,an end-cloud collaboration method is proposed to approach the track of battery degradation process,integrating end-side empirical model with cloud-side data-driven model.Based on ensemble learning methods,the data-driven model is constructed by three base models to obtain cloud-side highly accurate results.The double exponential decay model is utilized as an empirical model to output highly real-time prediction results.With Kalman filter,the prediction results of end-side empirical model can be periodically updated by highly accurate results of cloud-side data-driven model to obtain highly accurate and real-time results.Subsequently,the whole framework can give an accurate prediction and tracking of battery degradation,with the mean absolute error maintained below 2%.And the execution time on the end side can reach 261μs.The proposed end-cloud collaboration method has the potential to approach highly accurate and highly real-time estimation for battery health conditions during battery full life cycle in architecture of cyber hierarchy and interactional network. | Bin Ma Lisheng Zhang Hanqing Yu Bosong Zou Wentao Wang Cheng Zhang Shichun Yang Xinhua Liu | 2023 | Journal of Energy Chemistry2023，，7： | 0 |
| 6 | Reaction cross section studies of ^(12)C using the modified Glauber model in conjunction with nonlinear relativistic mean-field theory显示文摘We studied the structure of 12 C through the modified Glauber model using the density distributions calculated by the relativistic mean field theory. The experimental reaction cross sections of 12 C + 12 C were analyzed within the MOL by a χ 2 -fitting procedure. The effects of the nuclear deformation on the reaction cross sections are studied. The reliable structure of 12 C is deduced. The studies show that the conjunction of these two models will be a more effective tool to study the properties of nuclei. | FUKUDA Mitsunori FAN Guangwei AN Zhendong CAI Xiaolu FAN Gongtao HUANG Bosong LI Yongjiang XU Benji YAN Zhe XU Wang | 2012 | Nuclear Science and Techniques2012，23，5： | 0 |
| 7 | Single-nucleus transcriptomic profiling of multiple organs in a rhesus macaque model of SARS-CoV-2 infection显示文摘Infection with severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) causes diverse clinical manifestations and tissue injuries in multiple organs.However, cellular and molecular understanding of SARS-CoV-2 infection-associated pathology and immune defense features in different organs remains incomplete. Here, we profiled approximately 77 000single-nucleus transcriptomes of the lung, liver,kidney, and cerebral cortex in rhesus macaques(Macaca mulatta) infected with SARS-CoV-2 and healthy controls. Integrated analysis of the multiorgan dataset suggested that the liver harbored the strongest global transcriptional alterations. We observed prominent impairment in lung epithelial cells, especially in AT2 and ciliated cells, and evident signs of fibrosis in fibroblasts. These lung injury characteristics are similar to those reported in patients with coronavirus disease 2019(COVID-19).Furthermore, we found suppressed MHC class I/II molecular activity in the lung, inflammatory response in the liver, and activation of the kynurenine pathway,which induced the development of an immunosuppressive microenvironment. Analysis of the kidney dataset highlighted tropism of tubule cells to SARS-CoV-2, and we found membranous nephropathy(an autoimmune disease) caused by podocyte dysregulation. In addition, we identified the pathological states of astrocytes and oligodendrocytes in the cerebral cortex, providing molecular insights into COVID-19-related neurological implications. Overall, our multi-organ single-nucleus transcriptomic survey of SARS-CoV-2-infected rhesus macaques broadens our understanding of disease features and antiviral immune defects caused by SARS-CoV-2 infection,which may facilitate the development of therapeutic interventions for COVID-19. | Qiang Ma Wenji Ma Tian-Zhang Song Zhaobo Wu Zeyuan Liu Zhenxiang Hu Jian-Bao Han Ling Xu Bo Zeng Bosong Wang Yinuo Sun Dan-Dan Yu Qian Wu Yong-Gang Yao Yong-Tang Zheng Xiaoqun Wang | 2022 | Zoological Research2022，43，6： | 0 |
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