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

Correction: Proteogenomic characterization of molecular and cellular targets for treatment‑resistant subtypes in locally advanced cervical cancers

更正:局部晚期宫颈癌治疗耐药亚型分子和细胞靶点的蛋白质基因组学表征

Hyeon, Do Young; Nam, Dowoon; Shin, Hye-Jin; Jeong, Juhee; Jung, Eunsoo; Cho, Soo Young; Shin, Dong Hoon; Ku, Ja-Lok; Baek, Hye Jung; Yoo, Chong Woo; Hong, Eun-Kyung; Lim, Myong Cheol; Lee, Sang-Jin; Bae, Young-Ki; Kim, Jong Kwang; Bae, Jingi; Choi, Wonyoung; Kim, Su-Jin; Back, Seunghoon; Kang, Chaewon; Madar, Inamul Hasan; Kim, Hokeun; Kim, Suhwan; Kim, Duk Ki; Kang, Jihyung; Park, Geon Woo; Park, Ki Seok; Shin, Yourae; Kim, Sang Soo; Jung, Keehoon; Hwang, Daehee; Lee, Sang-Won; Kim, Joo-Young

Proteogenomic characterization of molecular and cellular targets for treatment-resistant subtypes in locally advanced cervical cancers.

局部晚期宫颈癌耐药亚型分子和细胞靶点的蛋白质基因组学表征

Hyeon Do Young, Nam Dowoon, Shin Hye-Jin, Jeong Juhee, Jung Eunsoo, Cho Soo Young, Shin Dong Hoon, Ku Ja-Lok, Baek Hye Jung, Yoo Chong Woo, Hong Eun-Kyung, Lim Myong Cheol, Lee Sang-Jin, Bae Young-Ki, Kim Jong Kwang, Bae Jingi, Choi Wonyoung, Kim Su-Jin, Back Seunghoon, Kang Chaewon, Madar Inamul Hasan, Kim Hokeun, Kim Suhwan, Kim Duk Ki, Kang Jihyung, Park Geon Woo, Park Ki Seok, Shin Yourae, Kim Sang Soo, Jung Keehoon, Hwang Daehee, Lee Sang-Won, Kim Joo-Young

Identification of STN7-associated leaf senescence networks in thylakoid membranes of Arabidopsis

拟南芥类囊体膜中STN7相关叶片衰老网络的鉴定

Lee, Seongsin; Park, Jihwan; Back, Seunghoon; Poudyal, Roshan Sharma; Mun, Dong-Gi; Bae, Jingi; Gwak, Nayoung; Lee, Sang-Won; Hwang, Daehee; Kim, Yumi

Correction to: Comprehensive proteome and phosphoproteome profiling shows negligible influence of RNAlater on protein abundance and phosphorylation

更正:全面的蛋白质组和磷酸化蛋白质组分析表明,RNAlater 对蛋白质丰度和磷酸化的影响可以忽略不计

Bae, Jingi; Kim, Su-Jin; Lee, Seung-Eun; Kwon, Wooil; Kim, Hongbeom; Han, Youngmin; Jang, Jin-Young; Kim, Min-Sik; Lee, Sang-Won

Integrated analysis of global proteome, phosphoproteome, and glycoproteome enables complementary interpretation of disease-related protein networks

对全球蛋白质组、磷酸化蛋白质组和糖蛋白组的整合分析能够对疾病相关蛋白质网络进行互补性解释。

Park, Jong-Moon; Park, Ji-Hwan; Mun, Dong-Gi; Bae, Jingi; Jung, Jae Hun; Back, Seunghoon; Lee, Hangyeore; Kim, Hokeun; Jung, Hee-Jung; Kim, Hark Kyun; Lee, Hookeun; Kim, Kwang Pyo; Hwang, Daehee; Lee, Sang-Won