6篇
您的检索式：作者名="PENG Xinxia"
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| 1 | Unique signatures of long noncoding RNA expression in response to virus infection and altered in- nate immune signaling显示文摘 | Peng Xinxia Gralinski L Armour C D | 2010 | MBio2010，1，5： | 1 |
| 2 | Compression of next-generation sequencing reads aided by highly efficient de novo assembly 显示文摘 | DANIEL C J WALTER L R PENG Xinxia | 2012 | Nucleic Acids Research2012，40，22： | 1 |
| 3 | Lethal influenzavirus infection in macaques is associated with early dys-regulation of inflammatory related genes 显示文摘 | Cilloniz C Shinya K Peng Xinxia | 2009 | PLoSPathog2009，5，00： | 1 |
| 4 | Clinical Analysis of GPT Alteration of Constructors for Qinghai-Tibetan Railroad at Different Altitude Areas显示文摘Objective: To observe the effect of hypoxia on the liver function of constructors at high altitude. Method: Select 221 constructors aged 23~42 as subjects, who had worked for 3~6 months at 4500 m. Collect venous blood from fasting subjects and determine GPT by new Lai’s Method from “The Nationwide Clinical Inspection Operating Rules'. Results: The study indicated that the GPT of 45 subjects among Group 1 were abnormal, with the proportion of 20.3%. The peak of GPT appeared when subjects exposed to high altitude of 4500m for 1 month, and the mean value was 83.76±9.23.The GPT of workers were higher than that of administers at different altitude (p<0.05). And the GPT of subjects at 4500 m were higher than those at 3500 m (p<0.05). We can find a degrading tendency with the increasing of working time (p<0.05). There was significantly statistic difference between two groups. Conclusions: The study confirmed that hypoxia could cause the change of liver function mildly and moderately. And there was a positive correlation between the degree of hypoxia and liver function. But, the change began to become a decreasing trend when people went on working longer. We also found that the change of liver structure and function at high altitude correlated with several factors else, including labor, individual difference, methods and sensitivity to the test. However, the explanation of its key mechanism deserves further investigation. | Peng Quansheng Yuan Zhengcai Wang Zhengjiang Wu Zhiling Zhang Xinxia Ge Rili Jin Guoen Hu Ying | 2006 | 工程科学(英文版)2006，4，2： | 0 |
| 5 | A SARS-CoV-2 neutralizing antibody discovery by single cell sequencing and molecular modeling显示文摘Although vaccines have been developed,mutations of SARS-CoV-2,especially the dominant B.1.617.2(delta)and B.1.529(omicron)strains with more than 30 mutations on their spike protein,have caused a significant decline in prophylaxis,calling for the need for drug improvement.Antibodies are drugs preferentially used in infectious diseases and are easy to get from immunized organisms.The current study combined molecular modeling and single memory B cell sequencing to assess candidate sequences before experiments,providing a strategy for the fabrication of SARS-CoV-2 neutralizing antibodies.A total of 128 sequences were obtained after sequencing 196 memory B cells,and 42 sequences were left after merging extremely similar ones and discarding incomplete ones,followed by homology modeling of the antibody variable region.Thirteen candidate sequences were expressed,of which three were tested positive for receptor binding domain recognition but only one was confirmed as having broad neutralization against several SARS-CoV-2 variants.The current study successfully obtained a SARS-CoV-2 antibody with broad neutralizing abilities and provided a strategy for antibody development in emerging infectious diseases using single memory B cell BCR sequencing and computer assistance in antibody fabrication. | Zheyue Wang Qi Tang Bende Liu Wenqing Zhang Yufeng Chen Ningfei Ji Yan Peng Xiaohui Yang Daixun Cui Weiyu Kong Xiaojun Tang Tingting Yang Mingshun Zhang Xinxia Chang Jin Zhu Mao Huang Zhenqing Feng | 2023 | The Journal of Biomedical Research2023，37，3： | 0 |
| 6 | A SARS-CoV-2 neutralizing antibody discovery by single cell sequencing and molecular modeling显示文摘 | Zheyue Wang Qi Tang Bende Liu Wenqing Zhang Yufeng Chen Ningfei Ji Yan Peng Xiaohui Yang Daixun Cui Weiyu Kong Xiaojun Tang Tingting Yang Mingshun Zhang Xinxia Chang Jin Zhu Mao Huang Zhenqing Feng | 2023 | The Journal of Biomedical Research2023，37，3： | 0 |
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