NobleBlocks

Ministry of Science and Technology of the People's Republic of China

governmentBeijing, Beijing, China

Research output, citation impact, and the most-cited recent papers from Ministry of Science and Technology of the People's Republic of China (China). Aggregated across the NobleBlocks index of 300M+ scholarly works.

Total works
1.3K
Citations
60.3K
h-index
83
i10-index
682
Also known as
Ministry of Science and Technology of the People's Republic of ChinaState Science and Technology Commission中华人民共和国科学技术部

Top-cited papers from Ministry of Science and Technology of the People's Republic of China

The complex jujube genome provides insights into fruit tree biology
Mengjun Liu, Jin Zhao, Qing-Le Cai, Guocheng Liu +4 more
2014· Nature Communications373doi:10.1038/ncomms6315

The jujube (Ziziphus jujuba Mill.), a member of family Rhamnaceae, is a major dry fruit and a traditional herbal medicine for more than one billion people. Here we present a high-quality sequence for the complex jujube genome, the first genome sequence of Rhamnaceae, using an integrated strategy. The final assembly spans 437.65 Mb (98.6% of the estimated) with 321.45 Mb anchored to the 12 pseudo-chromosomes and contains 32,808 genes. The jujube genome has undergone frequent inter-chromosome fusions and segmental duplications, but no recent whole-genome duplication. Further analyses of the jujube-specific genes and transcriptome data from 15 tissues reveal the molecular mechanisms underlying some specific properties of the jujube. Its high vitamin C content can be attributed to a unique high level expression of genes involved in both biosynthesis and regeneration. Our study provides insights into jujube-specific biology and valuable genomic resources for the improvement of Rhamnaceae plants and other fruit trees. The jujube is a major dry fruit crop in China and is commonly used for medicinal purposes. Here the authors sequence the genome and transcriptome of the most widely cultivated jujube cultivar, Dongzao, and highlight the genetic and molecular basis of agronomically important jujube traits, such as vitamin C content.

Abnormal neural activity in children with attention deficit hyperactivity disorder: a resting-state functional magnetic resonance imaging study
Qingjiu Cao, Yu‐Feng Zang, Li Sun, Manqiu Sui +3 more
2006· Neuroreport274doi:10.1097/01.wnr.0000224769.92454.5d

In this study, a newly reported regional homogeneity approach was used to analyze blood oxygen level-dependent functional magnetic resonance imaging data on resting state in boys with attention deficit hyperactivity disorder. Boys with attention deficit hyperactivity disorder showed decreased regional homogeneity in the frontal-striatal-cerebellar circuits, but increased regional homogeneity mainly in the occipital cortex. Our findings are consistent with the hypothesis of abnormal frontal-striatal-cerebellar circuits in attention deficit hyperactivity disorder. The regional homogeneity approach may be a potentially useful method in exploring the pathophysiology of attention deficit hyperactivity disorder.

Sequencing and Comparative Analysis of the Straw Mushroom (Volvariella volvacea) Genome
Dapeng Bao, Ming Gong, Huajun Zheng, Mingjie Chen +4 more
2013· PLoS ONE181doi:10.1371/journal.pone.0058294

Volvariella volvacea, the edible straw mushroom, is a highly nutritious food source that is widely cultivated on a commercial scale in many parts of Asia using agricultural wastes (rice straw, cotton wastes) as growth substrates. However, developments in V. volvacea cultivation have been limited due to a low biological efficiency (i.e. conversion of growth substrate to mushroom fruit bodies), sensitivity to low temperatures, and an unclear sexuality pattern that has restricted the breeding of improved strains. We have now sequenced the genome of V. volvacea and assembled it into 62 scaffolds with a total genome size of 35.7 megabases (Mb), containing 11,084 predicted gene models. Comparative analyses were performed with the model species in basidiomycete on mating type system, carbohydrate active enzymes, and fungal oxidative lignin enzymes. We also studied transcriptional regulation of the response to low temperature (4°C). We found that the genome of V. volvacea has many genes that code for enzymes, which are involved in the degradation of cellulose, hemicellulose, and pectin. The molecular genetics of the mating type system in V. volvacea was also found to be similar to the bipolar system in basidiomycetes, suggesting that it is secondary homothallism. Sensitivity to low temperatures could be due to the lack of the initiation of the biosynthesis of unsaturated fatty acids, trehalose and glycogen biosyntheses in this mushroom. Genome sequencing of V. volvacea has improved our understanding of the biological characteristics related to the degradation of the cultivating compost consisting of agricultural waste, the sexual reproduction mechanism, and the sensitivity to low temperatures at the molecular level which in turn will enable us to increase the industrial production of this mushroom.

An NLRP3 inflammasome-triggered cytokine storm contributes to Streptococcal toxic shock-like syndrome (STSLS)
Lan Lin, Lei Xu, Weihua Lv, Li Han +4 more
2019· PLoS Pathogens129doi:10.1371/journal.ppat.1007795

Infection with the Streptococcus suis (S. suis) epidemic strain can cause Streptococcal toxic shock-like syndrome (STSLS), which is characterized by a cytokine storm, dysfunction of multiple organs and a high incidence of mortality despite adequate treatment. Despite some progress concerning the contribution of the inflammatory response to STSLS, the precise mechanism underlying STSLS development remains elusive. Here, we use a murine model to demonstrate that caspase-1 activity is critical for STSLS development. Furthermore, we show that inflammasome activation by S. suis is mainly dependent on NLRP3 but not on NLRP1, AIM2 or NLRC4. The important role of NLRP3 activation in STSLS is further confirmed in vivo with the NLRP3 inhibitor MCC950 and nlrp3-knockout mice. By comparison of WT strain with isogenic strains with mutation of various virulence genes for inflammasome activation, Suilysin is essential for inflammasome activation, which is dependent on the membrane perforation activity to cause cytosolic K+ efflux. Moreover, the mutant strain msly (P353L) expressing mutagenic SLY without hemolytic activity was unable to activate the inflammasome and does not cause STSLS. In summary, we demonstrate that the high membrane perforation activity of the epidemic strain induces a high level of NLRP3 inflammasome activation, which is essential for the development of the cytokine storm and multi-organ dysfunction in STSLS and suggests NLRP3 inflammasome as an attractive target for the treatment of STSLS.

Hypoxia-inducible factor-1 in tumour angiogenesis
Yonghong Shi, Wei‐gang Fang
2004· World Journal of Gastroenterology108doi:10.3748/wjg.v10.i8.1082

Hypoxia-inducible factor-1 (HIF-1), composed of HIF-alpha and HIF-beta subunits, is a heterodimeric transcriptional activator. In response to hypoxia, stimulation of growth factors, and activation of oncogenes as well as carcinogens, HIF-1alpha is overexpressed and/or activated and targets those genes which are required for angiogenesis, metabolic adaptation to low oxygen and promotes survival. HIF-1 is critical for both physiological and pathological processes. Several dozens of putative direct HIF-1 target genes have been identified on the basis of one or more cis-acting hypoxia-response elements that contain an HIF-1 binding site. A variety of regulators including growth factors, genetic alterations, stress activators, and some carcinogens have been documented for regulation of HIF-1 in which several signaling pathways are involved depending on the stimuli and cell types. Activation of HIF-1 in combination with activated signaling pathways and regulators is implicated in tumour progression and prognosis. This review presents a summary of the structure and function of HIF-1alpha, and correlation among specific regulators and their signaling pathways.

Quantum Private Comparison Protocol Based on Bell Entangled States
Wen Liu, Yongbin Wang, Wei Cui
2012· Communications in Theoretical Physics98doi:10.1088/0253-6102/57/4/11

In this paper, a quantum private comparison protocol is proposed based on bell entangled states. In our protocol, two parties can compare the equality of their information with the help of a semi-honest third party. The correctness and security of our protocol are discussed. One party cannot learn the other's private information and the third party also cannot learn any information about the private information.

HKGB: An Inclusive, Extensible, Intelligent, Semi-auto-constructed Knowledge Graph Framework for Healthcare with Clinicians’ Expertise Incorporated
Yong Zhang, Ming Sheng, Rui Zhou, Ye Wang +4 more
2020· Information Processing & Management96doi:10.1016/j.ipm.2020.102324

Health knowledge graph provides an ideal technical means to integrate heterogeneous data resources and enhance knowledge-based services. There are many challenges for the construction of health knowledge graph such as complex concepts and relationships, various medical standards, heterogeneous data structures, poor data quality, highly accurate and interpretable services, etc. In this paper, firstly, we propose Health Knowledge Graph Builder (HKGB), an end-to-end platform which could be used to construct disease-specific and extensible health knowledge graphs from multiple sources. Secondly, we analyze the capabilities and requirements of clinicians, design the tasks to involve the clinicians and implement a clinician-in-the-loop toolset to integrate the clinicians prior knowledge into the construction of health knowledge graphs. Thirdly, we design an extensible mechanism to add new diseases to an existing knowledge graph. Fourthly, we present a quantitative effort estimation algorithm to quantitatively evaluate the effort of clinicians during the construction, and use it to calculate the workloads such as 44.27 person days for knee osteoarthritis domain. Finally, we have developed several knowledge graph based tools to facilitate real applications.

In situ growth of spinel CoFe<sub>2</sub>O<sub>4</sub> nanoparticles on rod-like ordered mesoporous carbon for bifunctional electrocatalysis of both oxygen reduction and oxygen evolution
Pengxi Li, Ruguang Ma, Yao Zhou, Yongfang Chen +4 more
2015· Journal of Materials Chemistry A94doi:10.1039/c5ta02625c

A bifunctional electrocatalyst for both oxygen reduction and oxygen evolution was prepared by <italic>in situ</italic> growth of CoFe<sub>2</sub>O<sub>4</sub> nanoparticles on rod-like ordered mesoporous carbon.

IP-10 Promotes Blood–Brain Barrier Damage by Inducing Tumor Necrosis Factor Alpha Production in Japanese Encephalitis
Ke Wang, Haili Wang, Wenjuan Lou, Longhuan Ma +4 more
2018· Frontiers in Immunology94doi:10.3389/fimmu.2018.01148

Japanese encephalitis is a neuropathological disorder caused by Japanese encephalitis virus (JEV), which is characterized by severe pathological neuroinflammation and damage to the blood-brain barrier (BBB). Inflammatory cytokines/chemokines can regulate the expression of tight junction (TJ) proteins and are believed to be a leading cause of BBB disruption, but the specific mechanisms remain unclear. IP-10 is the most abundant chemokine produced in the early stage of JEV infection, but its role in BBB disruption is unknown. The administration of IP-10-neutralizing antibody ameliorated the decrease in TJ proteins and restored BBB integrity in JEV-infected mice. In vitro study showed IP-10 and JEV treatment did not directly alter the permeability of the monolayers of endothelial cells. However, IP-10 treatment promoted TNF-α production and IP-10-neutralizing antibody significantly reduced the production of TNF-α. Thus, TNF-α could be a downstream cytokine of IP-10, which decreased TJ proteins and damaged BBB integrity. Further study indicated that JEV infection can stimulate upregulation of the IP-10 receptor CXCR3 on glial cells, resulting in TNF-α production through the JNK-c-Jun signaling pathway. Consequently, TNF-α affected the expression and cellular distribution of TJs in brain microvascular endothelial cells and led to BBB damage during JEV infection. Regarding regulation of the BBB, the IP-10/TNF-α cytokine axis could be considered a potential target for the development of novel therapeutics in BBB-related neurological diseases.

Effect of ultrasound treatment on the wet heating Maillard reaction between mung bean [<i>Vigna radiate</i> (L.)] protein isolates and glucose and on structural and physico‐chemical properties of conjugates
Zhongjiang Wang, Feifei Han, Xiaonan Sui, Baokun Qi +4 more
2015· Journal of the Science of Food and Agriculture91doi:10.1002/jsfa.7255

BACKGROUND: The objective of this study was to determine the effect of ultrasound treatment on the wet heating Maillard reaction between mung bean protein isolates (MBPIs) and glucose, and on structural and physico-chemical properties of the conjugates. RESULTS: The degree of glycosylation of MBPI-glucose conjugates treated by ultrasound treatment and wet heating (MBPI-GUH) was higher than that of MBPI-glucose conjugates only treated by wet heating (MBPI-GH). Solubility, emulsification activity, emulsification stability and surface hydrophobicity of MBPI-GUH were higher than that of MBPI-GH. Grafted MBPIs had a lower content of α-helix and unordered coil, but a higher content of β-sheet and β-turn structure than MBPIs. No significant structural changes were observed in β-turn and random coil structure of MBPI-GUH, while α-helix content increased with ultrasonic time, and decreased at 300 W ultrasonic power with the increase of β-sheet. MBPI-GUH had a less compact tertiary structure compared to MBPI-GH and MBPI. Grafting MBPIs with glucose formed conjugates of higher molecular weight, while no significant changes were observed in electrophoresis profiles of MBPI-GUH. CONCLUSION: Ultrasound-assisted wet heating Maillard reaction between MBPIs and glucose could be a promising way to improve functional properties of MBPIs.

Anionic metal–organic frameworks lead the way to eco-friendly high-energy-density materials
Yongan Feng, Yan‐Gang Bi, Wenyuan Zhao, Tonglai Zhang
2016· Journal of Materials Chemistry A87doi:10.1039/c6ta02340a

Eco-friendly high-energy-density materials with remarkably high nitrogen contents and heats of detonation are achieved based on an anionic MOF strategy. Meanwhile, their stabilities and insensitivities are well improved by hydrogen bonds.

Identifying Major Factors Affecting Groundwater Change in the North China Plain with Grey Relational Analysis
Xue Li, Guomin Li, Yuan Zhang
2014· Water82doi:10.3390/w6061581

The North China Plain (NCP) is facing a water crisis under the dual impact of natural and anthropogenic factors. Groundwater levels have declined continuously since 1960, causing a series of environmental problems that have restricted sustainable development in the region. In the present study, we first utilized a previously developed 3D groundwater model to determine changes in groundwater level in the region over the past 50 years (1961–2010). We then applied grey relational analysis (GRA) to identify and ordinate major factors that have contributed to these changes. The results show an overall decreasing trend in groundwater levels in this region over the past 50 years and an increase in the water table depth at a rate of approximately 0.36 m/a. Groundwater exploitation showed the most significant correlation with the groundwater table decline, when compared with other factors including precipitation and river leakage. Therefore, human activities should be considered the primary force driving the groundwater level down. The results of this study have implications for developing criteria that consider changes in both climate and socio-economics. Furthermore, since the NCP is one of the most water-scarce and densely populated regions in the world, the analytical approach used in and the insights gained from this study are of international interest.

Synergetic roadmap of carbon neutrality and clean air for China
Qiang Zhang, Zhicong Yin, Xi Lu, Jicheng Gong +4 more
2023· Environmental Science and Ecotechnology79doi:10.1016/j.ese.2023.100280

It is well recognized that carbon dioxide and air pollutants share similar emission sources so that synergetic policies on climate change mitigation and air pollution control can lead to remarkable co-benefits on greenhouse gas reduction, air quality improvement, and improved health. In the context of carbon peak, carbon neutrality, and clean air policies, this perspective tracks and analyzes the process of the synergetic governance of air pollution and climate change in China by developing and monitoring 18 indicators. The 18 indicators cover the following five aspects: air pollution and associated weather-climate conditions, progress in structural transition, sources, inks, and mitigation pathway of atmospheric composition, health impacts and benefits of coordinated control, and synergetic governance system and practices. By tracking the progress in each indicator, this perspective presents the major accomplishment of coordinated control, identifies the emerging challenges toward the synergetic governance, and provides policy recommendations for designing a synergetic roadmap of Carbon Neutrality and Clean Air for China.

Blood–Brain Barrier Integrity Damage in Bacterial Meningitis: The Underlying Link, Mechanisms, and Therapeutic Targets
Ruicheng Yang, Jundan Wang, Fen Wang, Huipeng Zhang +3 more
2023· International Journal of Molecular Sciences79doi:10.3390/ijms24032852

Despite advances in supportive care and antimicrobial treatment, bacterial meningitis remains the most serious infection of the central nervous system (CNS) that poses a serious risk to life. This clinical dilemma is largely due to our insufficient knowledge of the pathology behind this disease. By controlling the entry of molecules into the CNS microenvironment, the blood-brain barrier (BBB), a highly selective cellular monolayer that is specific to the CNS's microvasculature, regulates communication between the CNS and the rest of the body. A defining feature of the pathogenesis of bacterial meningitis is the increase in BBB permeability. So far, several contributing factors for BBB disruption have been reported, including direct cellular damage brought on by bacterial virulence factors, as well as host-specific proteins or inflammatory pathways being activated. Recent studies have demonstrated that targeting pathological factors contributing to enhanced BBB permeability is an effective therapeutic complement to antimicrobial therapy for treating bacterial meningitis. Hence, understanding how these meningitis-causing pathogens affect the BBB permeability will provide novel perspectives for investigating bacterial meningitis's pathogenesis, prevention, and therapies. Here, we summarized the recent research progress on meningitis-causing pathogens disrupting the barrier function of BBB. This review provides handy information on BBB disruption by meningitis-causing pathogens, and helps design future research as well as develop potential combination therapies.

Spinel nickel ferrite nanoparticles strongly cross-linked with multiwalled carbon nanotubes as a bi-efficient electrocatalyst for oxygen reduction and oxygen evolution
Pengxi Li, Ruguang Ma, Yao Zhou, Yongfang Chen +4 more
2015· RSC Advances73doi:10.1039/c5ra14713a

NiFe<sub>2</sub>O<sub>4</sub> nanoparticles successfully cross-linked with the outer walls of MWCNTs demonstrate excellent catalytic activities and stabilities for both the ORR and OER compared to commercial Pt/C, owing to the strong coupling and synergistic effects.

Bifunctional up-converting lanthanide nanoparticles for selective in vitro imaging and inhibition of cyclin D as anti-cancer agents
Chi‐Fai Chan, Ming‐Kiu Tsang, Hongguang Li, Rongfeng Lan +4 more
2013· Journal of Materials Chemistry B72doi:10.1039/c3tb21034k

Inhibition of the CDK4/cyclin D complex through the substrate recruitment site on the cyclin positive regulatory subunit is recognised as being a promising anti-cancer target. Specific peptide sequences can be used to selectively disrupt this target, but the development of peptides as anti-tumor agents in vitro/in vivo presents several obstacles. Poor cell internalization, low sensitivity towards enzymatic degradation in vivo, and ineffectiveness in monitoring via indirect screening are all issues which must be overcome. Herein, we describe the surface functionalization of lanthanide nanoparticles with cyclin D-specific peptides to prepare novel nanomaterials (UCNPs–P1) which can target the CDK4/cyclin D complex. The nanomaterials prepared (UCNPs–P1) are cell permeable and they display parallel emission spectra in vitro and in an aqueous biological environment. They can also be used in low dose concentrations under harmless NIR excitation and emission via upconversion. Uniquely, in addition to acting as a bioimaging probe, UCNPs–P1 also exhibits promising cytotoxicity towards cancer cells. In light of the aforementioned properties, the prepared functionalized nanomaterials (UCNPs–P1) offer the first real dual acting system for cyclin D imaging and simultaneous inhibition of cancer cell division.

A support vector machine with the tabu search algorithm for freeway incident detection
Baozhen Yao, Ping Hu, Mingheng Zhang, Maoqing Jin
2014· International Journal of Applied Mathematics and Computer Science70doi:10.2478/amcs-2014-0030

Abstract Automated Incident Detection (AID) is an important part of Advanced Traffic Management and Information Systems (ATMISs). An automated incident detection system can effectively provide information on an incident, which can help initiate the required measure to reduce the influence of the incident. To accurately detect incidents in expressways, a Support Vector Machine (SVM) is used in this paper. Since the selection of optimal parameters for the SVM can improve prediction accuracy, the tabu search algorithm is employed to optimize the SVM parameters. The proposed model is evaluated with data for two freeways in China. The results show that the tabu search algorithm can effectively provide better parameter values for the SVM, and SVM models outperform Artificial Neural Networks (ANNs) in freeway incident detection.

Immobilization of Polyoxometalate in the Metal-Organic Framework rht-MOF-1: Towards a Highly Effective Heterogeneous Catalyst and Dye Scavenger
Jing‐Wen Sun, Peng‐Fei Yan, Guanghui An, Jing‐Quan Sha +2 more
2016· Scientific Reports64doi:10.1038/srep25595

A series of three remarkable complexes [PMo12O40]@[Cu6O(TZI)3(H2O)9]4·OH·31H2O (H3TZI = 5-tetrazolylisophthalic acid; denoted as HLJU-1, HLJU = Heilongjiang University), [SiMo12O40]@[Cu6O(TZI)3(H2O)9]4·32H2O (denoted as HLJU-2), and [PW12O40]@[Cu6O(TZI)3(H2O)6]4·OH·31H2O (denoted as HLJU-3) have been isolated by using simple one-step solvothermal reaction of copper chloride, 5-tetrazolylisophthalic acid (H3TZI), and various Keggin-type polyoxometalates (POMs), respectively. Crystal analysis of HLJU 1-3 reveals that Keggin-type polyoxoanions have been fitted snuggly in the cages of rht-MOF-1 (MOF: metal-organic framework) with large cell volume in a range of 87968-88800 Å(3) and large pore volume of about 68%. HLJU 1-3 exhibit unique catalytic selectivity and reactivity in the oxidation of alkylbenzene with environmental benign oxidant under mild condition in aqueous phase as well as the uptake capacity towards organic pollutants in aqueous solution.

Urinary nucleosides as biological markers for patients with colorectal cancer
Yufang Zheng
2005· World Journal of Gastroenterology64doi:10.3748/wjg.v11.i25.3871

AIM: Fourteen urinary nucleosides, primary degradation products of tRNA, were evaluated to know the potential as biological markers for patients with colorectal cancer. METHODS: The concentrations of 14 kinds of urinary nucleosides from 52 patients with colorectal cancer, 10 patients with intestinal villous adenoma and 60 healthy adults were determined by column switching high performance liquid chromatography method. RESULTS: The mean levels of 12 kinds of urinary nucleosides (except uridine and guanosine) in the patients with colorectal cancer were significantly higher than those in patients with intestinal villous adenoma or the healthy adults. Using the levels of 14 kinds of urinary nucleosides as the data vectors for principal component analysis, 71% (37/52) patients with colorectal cancer were correctly classified from healthy adults, in which the identification rate was much higher than that of CEA method (29%). Only 10% (1/10) of patients with intestinal villous adenoma were indistinguishable from patients with colorectal cancer. The levels of m1G, Pseu and m1A were positively related with tumor size and Duke's stages of colorectal cancer. When monitoring the changes in urinary nucleoside concentrations of patients with colorectal cancer associated with surgery, it was found that the overall correlations with clinical assessment were 84% (27/32) and 91% (10/11) in response group and progressive group, respectively. CONCLUSION: These findings indicate that urinary nucleosides determined by column switching high performance liquid chromatography method may be useful as biological markers for colorectal cancer.

High Sensitive Detection of Cry1Ab Protein Using a Quantum Dot-Based Fluorescence-Linked Immunosorbent Assay
Xiaolei Zhu, Lili Chen, Ping Shen, Junwei Jia +2 more
2011· Journal of Agricultural and Food Chemistry64doi:10.1021/jf104140t

Protein-based detection methods, enzyme-linked immunosorbent assay (ELISA) and lateral flow strip, have been widely used for rapid, spot, and sensitive detection of genetically modified organisms (GMOs). Herein, one novel quantum dot-based fluorescence-linked immunosorbent assay (QD-FLISA) was developed employing quantum dots (QDs) as the fluorescent marker for the detection of the Cry1Ab protein in MON810 maize. The end-point fluorescent detection system was carried out using QDs conjugated with goat anti-rabbit secondary antibody. The newly developed Cry1Ab QD-FLISA assay was highly specific to the Cry1Ab protein and had no cross-reactivity with other target proteins, such as Cry2Ab, Cry1F, and Cry3Bb. The quantified linearity was achieved in the value range of 0.05-5% (w/w). The limits of detection (LOD) and quantification (LOQ) of the QD-FLISA were 2.956 and 9.854 pg/mL, respectively, which were more sensitive than the conventional sandwich ELISA method. All of the results indicated that QD-FLISA was a highly specific and sensitive method for the monitoring of Cry1Ab in GMOs.