日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

TEDD: a comprehensive database for translation efficiency dynamics

TEDD:翻译效率动态综合数据库

Lei, Wenyan; Li, Cuidan; Zhou, Hengyu; Nie, Zhi; Wang, Anke; Li, Pan; Fan, Zhuojing; Zhu, Rongxi; Cheng, Haoyu; Guo, Yuxian; Yue, Liya; Jiang, Xiaoyuan; Gao, Renjun; Sheng, Yongjie; Niu, Haitao; Bahetibieke, Tuohetaerbaike; Zhang, Wenbao; Zhao, Wenming; Xiao, Jingfa; Chen, Fei

Integrative analysis of Poly(A)-seq and RNA-seq reveals transcriptional regulation of poly(A) tail length in tuberculosis

Poly(A)-seq 和 RNA-seq 的整合分析揭示了结核病中 poly(A) 尾长度的转录调控

Tuohetaerbaike, Bahetibieke; Wang, Jie; Li, Ying; Yue, Liya; Wang, Peihan; Li, Cuidan; Wen, Hao; Zhang, Wenbao; Wang, Jing; Chen, Fei; Hu, Xin

Proteomic analyses of smear-positive/negative tuberculosis patients uncover differential antigen-presenting cell activation and lipid metabolism

涂片阳性/阴性结核病患者的蛋白质组学分析揭示了差异抗原呈递细胞活化和脂质代谢

Yingjiao Ju, Chengji Jin, Shan Chen, Jie Wang, Cuidan Li, Xiaotong Wang, Peihan Wang, Liya Yue, Xiaoyuan Jiang, Bahetibieke Tuohetaerbaike, Ying Li, Yongjie Sheng, Wushou'er Qimanguli, Jing Wang, Fei Chen

A bla (SIM-1) and mcr-9.2 harboring Klebsiella michiganensis strain reported and genomic characteristics of Klebsiella michiganensis

报道了一种携带 bla (SIM-1) 和 mcr-9.2 基因的克雷伯氏菌(Klebsiella michiganensis)菌株及其基因组特征。

Li, Shuangshuang; Jiang, Xiaoyuan; Li, Cuidan; Ju, Yingjiao; Yue, Liya; Chen, Fangzhou; Hu, Lingfei; Wang, Jing; Hu, Xin; Tuohetaerbaike, Bahetibieke; Wen, Hao; Zhang, Wenbao; Zhou, Dongsheng; Yin, Zhe; Chen, Fei

Serum Proteomic Analysis for New Types of Long-Term Persistent COVID-19 Patients in Wuhan

武汉市新型长期持续性新冠肺炎患者血清蛋白质组学分析

Cuidan Li #, Liya Yue #, Yingjiao Ju #, Jie Wang, Mengfan Chen, Hao Lu, Sitong Liu, Tao Liu, Jing Wang, Xin Hu, Bahetibieke Tuohetaerbaike, Hao Wen, Wenbao Zhang, Sihong Xu, Chunlai Jiang, Fei Chen

Combining metabolome and clinical indicators with machine learning provides some promising diagnostic markers to precisely detect smear-positive/negative pulmonary tuberculosis

将代谢组学和临床指标与机器学习相结合,可以提供一些有前景的诊断标志物,用于精确检测涂片阳性/阴性肺结核。

Hu, Xin; Wang, Jie; Ju, Yingjiao; Zhang, Xiuli; Qimanguli, Wushou'er; Li, Cuidan; Yue, Liya; Tuohetaerbaike, Bahetibieke; Li, Ying; Wen, Hao; Zhang, Wenbao; Chen, Changbin; Yang, Yefeng; Wang, Jing; Chen, Fei

Bioinformation Analysis Reveals IFIT1 as Potential Biomarkers in Central Nervous System Tuberculosis

生物信息学分析揭示IFIT1是中枢神经系统结核病的潜在生物标志物

Qiao, Wenbin; Fan, Jiahui; Shang, Xiaoqian; Wang, Liang; Tuohetaerbaike, Bahetibieke; Li, Ying; Zhang, Li; Huo, YiShan; Wang, Jing; Ma, Xiumin