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Liming Fei, Gengyun Sun, Juan Sun & Dong Wu. (2022) The effect of N6-methyladenosine (m6A) factors on the development of acute respiratory distress syndrome in the mouse model. Bioengineered 13:3, pages 7622-7634.
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Changyong Luo, Yan Li, Xu Liang, Yifan Chen, Qiao Zou, Yurong Kong, Zhengguang Guo, Wei Sun & Xin Wang. (2021) Special electromagnetic field-treated water and far-infrared radiation alleviates lipopolysaccharide-induced acute respiratory distress syndrome in rats by regulating haptoglobin. Bioengineered 12:1, pages 6808-6820.
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Yinhui Yao, Jingyi Zhao, Xiaohui Zhou, Junhui Hu & Ying Wang. (2021) Potential role of a three-gene signature in predicting diagnosis in patients with myocardial infarction. Bioengineered 12:1, pages 2734-2749.
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Snehal Nirgude, Natali S. Sobel Naveh, Sanam L. Kavari, Emily M. Traxler & Jennifer M. Kalish. (2023) Cancer predisposition signaling in Beckwith-Wiedemann Syndrome drives Wilms tumor development. British Journal of Cancer 130:4, pages 638-650.
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Seckin Ozkanlar, Nergis Ulas, Ozgur Kaynar & Emine Satici. (2023) P2X7 receptor antagonist A-438079 alleviates oxidative stress of lung in LPS-induced septic rats. Purinergic Signalling 19:4, pages 699-707.
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Yongqi Su, Ling Guo & Pan Fan. (2022) Prediction of breast cancer aggression-related genetic markers based on weighted gene co-expression network analysis. Prediction of breast cancer aggression-related genetic markers based on weighted gene co-expression network analysis.
Shangxun Zhou, Wei Zhao, Junjie Li, Yang Huang, Jing Yang, Qianmei Wang, Yunyun Xu, Chujun Duan, Yutong Wang & Wen Yin. (2022) Bioinformatics Analysis Identifies TNFRSF1A as a Biomarker of Liver Injury in Sepsis TNFRSF1A is a Biomarker for Septic Liver Injury. Genetics Research 2022, pages 1-10.
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Lulu Sheng, Yiqing Tong, Yi Zhang & Qiming Feng. (2022) Identification of Hub Genes With Differential Correlations in Sepsis. Frontiers in Genetics 13.
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Keping Chai, Xiaolin Zhang, Huitao Tang, Huaqian Gu, Weiping Ye, Gangqiang Wang, Shufang Chen, Feng Wan, Jiawei Liang & Daojiang Shen. (2022) The Application of Consensus Weighted Gene Co-expression Network Analysis to Comparative Transcriptome Meta-Datasets of Multiple Sclerosis in Gray and White Matter. Frontiers in Neurology 13.
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