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

Substituent Effects of Fluorescein on Photoredox Initiating Performance under Visible Light

荧光素取代基对可见光下光氧化还原引发性能的影响

Choi, Won Oh; Jung, Young Jae; Kim, Minyoung; Kim, Hoyun; Li, Jingjing; Ko, Hyebin; Lee, Hong-In; Lee, Hye Jin; Lee, Jungkyu K

Nicotinamide (niacin) supplement increases lipid metabolism and ROS-induced energy disruption in triple-negative breast cancer: potential for drug repositioning as an anti-tumor agent

烟酰胺(烟酸)补充剂可增强三阴性乳腺癌细胞的脂质代谢并改善活性氧诱导的能量代谢紊乱:具有作为抗肿瘤药物的潜力

Minsun Jung ,Kyung-Min Lee ,Yebin Im ,Seung Hyeok Seok ,Hyewon Chung ,Da Young Kim ,Dohyun Han ,Cheng Hyun Lee ,Eun Hye Hwang ,Soo Young Park ,Jiwon Koh ,Bohyun Kim ,Ilias P Nikas ,Hyebin Lee ,Daehee Hwang ,Han Suk Ryu

Proteomic-Based Machine Learning Analysis Reveals PYGB as a Novel Immunohistochemical Biomarker to Distinguish Inverted Urothelial Papilloma From Low-Grade Papillary Urothelial Carcinoma With Inverted Growth

基于蛋白质组学的机器学习分析表明 PYGB 是一种新型免疫组织化学生物标志物,可用于区分倒置性尿路上皮乳头状瘤与倒置生长的低级别乳头状尿路上皮癌

Minsun Jung, Cheol Lee, Dohyun Han, Kwangsoo Kim, Sunah Yang, Ilias P Nikas, Kyung Chul Moon, Hyeyoon Kim, Min Ji Song, Bohyun Kim, Hyebin Lee, Han Suk Ryu

Dual Oxidase 2 (DUOX2) as a Proteomic Biomarker for Predicting Treatment Response to Chemoradiation Therapy for Locally Advanced Rectal Cancer: Using High-Throughput Proteomic Analysis and Machine Learning Algorithm

双氧化酶 2 (DUOX2) 作为预测局部晚期直肠癌放化疗治疗反应的蛋白质组生物标志物:使用高通量蛋白质组学分析和机器学习算法

Hyebin Lee, Han Suk Ryu, Hee Chul Park, Jeong Il Yu, Gyu Sang Yoo, Changhoon Choi, Heerim Nam, Jason Joon Bock Lee, In-Gu Do, Dohyun Han, Sang Yun Ha

Combined the SMAC mimetic and BCL2 inhibitor sensitizes neoadjuvant chemotherapy by targeting necrosome complexes in tyrosine aminoacyl-tRNA synthase-positive breast cancer

联合使用 SMAC 类似物和 BCL2 抑制剂,通过靶向酪氨酸氨酰-tRNA 合酶阳性乳腺癌中的坏死体复合物来增强新辅助化疗的敏感性

Kyung-Min Lee, Hyebin Lee, Dohyun Han, Woo Kyung Moon, Kwangsoo Kim, Hyeon Jeong Oh, Jinwoo Choi, Eun Hye Hwang, Seong Eun Kang, Seock-Ah Im, Kyung-Hun Lee, Han Suk Ryu

Quantitative Proteomic Analysis Identifies AHNAK (Neuroblast Differentiation-associated Protein AHNAK) as a Novel Candidate Biomarker for Bladder Urothelial Carcinoma Diagnosis by Liquid-based Cytology

定量蛋白质组学分析确定 AHNAK(神经母细胞分化相关蛋白 AHNAK)为液基细胞学诊断膀胱尿路上皮癌的新型候选生物标志物

Hyebin Lee, Kwangsoo Kim, Jongmin Woo, Joonho Park, Hyeyoon Kim, Kyung Eun Lee, Hyeyeon Kim, Youngsoo Kim, Kyung Chul Moon, Ji Young Kim, In Ae Park, Bo Bae Shim, Ji Hye Moon, Dohyun Han, Han Suk Ryu

Reconstruction of pathway modification induced by nicotinamide using multi-omic network analyses in triple negative breast cancer

使用多组学网络分析重建三阴性乳腺癌中烟酰胺诱导的通路修饰

Ji Young Kim, Hyebin Lee, Jongmin Woo, Wang Yue, Kwangsoo Kim, Seongmin Choi, Ja-June Jang, Youngsoo Kim, In Ae Park, Dohyun Han, Han Suk Ryu