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

Multi-omic profiling converges on proteasome subunits PSMA7/PSMB2 as targets of the sepsis-protective agent Handelin.

多组学分析表明,蛋白酶体亚基 PSMA7/PSMB2 是脓毒症保护剂 Handelin 的靶点。

Chen Dexiu, Zhang Qian, Wu Yuanxin, Hu Yingchun, Chen Muhu

Gas-bearing characteristics and its main controlling factors in low-rank coal seams of the Wujianfang Basin, North China

华北武尖房盆地低阶煤层含气特征及其主要控制因素

Hu, Yingchun; Cai, Yidong; Chen, Jiamin; Zhang, Yunji; Zhao, Kejian; Chen, Wei; Gu, Meishan

A tri-omics and machine learning framework identifies prognostic biomarkers and metabolic signatures in sepsis

结合三组学和机器学习的框架可识别脓毒症的预后生物标志物和代谢特征

Li, Xiang; Ke, Gege; Hu, Yingchun; Chen, Muhu

Epididymal epithelial cells facilitate NEU1 loading to modulate sperm α-2,6 sialylation, enhance maturation and motility.

附睾上皮细胞促进 NEU1 的加载,从而调节精子 α-2,6 唾液酸化,增强成熟度和运动能力。

Yi Shiqi, Wang Ruohan, Hu Yingchun, Wang Shukai, Zhang Linyu, Sun Xinrui, Yuan Xin, Li Jiajie, Zou Shuangling, Wang Hongxiang, Ma Fang

Identification and validation of core biomarkers for sepsis: a comprehensive analysis using bioinformatics and machine learning

利用生物信息学和机器学习对脓毒症核心生物标志物进行识别和验证:一项综合分析

Li, Haili; Jiang, Sishi; Chen, Zhibin; Yao, Yandong; Chen, Muhu; Hu, Yingchun

Exploring Core Genes Associated with Sepsis and Systemic Inflammatory Response Syndrome Using Single-Cell Sequencing Technology

利用单细胞测序技术探索与脓毒症和全身炎症反应综合征相关的核心基因

Shen, YuZhou; Leng, LingHan; Hu, YingChun

Identification of prognostic biomarkers of sepsis and construction of ceRNA regulatory networks

脓毒症预后生物标志物的鉴定及ceRNA调控网络的构建

Chen, Guihong; Zhang, Wen; Wang, Chenglin; Chen, Muhu; Hu, Yingchun; Wang, Zheng

Combining machine learning and single-cell sequencing to identify key immune genes in sepsis

结合机器学习和单细胞测序技术识别脓毒症中的关键免疫基因

Wang, Hao; Len, Linghan; Hu, Li; Hu, Yingchun

Mechanism of sepsis regulation by ELANE via macrophage polarization

ELANE通过巨噬细胞极化调控脓毒症的机制

Leng, Linghan; Yang, Ying; Zhang, Hongye; Peng, Wensheng; Xiang, Xueli; Hu, Yingchun; Ma, Chunmao

Network toxicology combined with molecular docking technology to explore the molecular mechanism of amatoxin causing liver injury

结合网络毒理学和分子对接技术,探索鹅膏毒素引起肝损伤的分子机制

Wang, Chenglin; Wang, Xin; Deng, Yaxing; Hu, Yingchun; Hu, Li