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RISS 인기검색어
- 검색키워드
- 저자 : Kaixiang Xu (검색결과 3 건)
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Xu Zhiyang,Zhou Kaixiang,Wang Zhenni,Liu Yang,Wang Xingguo,Gao Tian,Xie Fanfan,Yuan Qing,Gu Xiwen,Liu Shujuan,Xing Jinliang 생화학분자생물학회 2023 Experimental and molecular medicine Vol.55 No.-
Ovarian cancer (OC) is the most lethal gynecologic tumor and is characterized by a high rate of metastasis. Challenges in accurately delineating the metastatic pattern have greatly restricted the improvement of treatment in OC patients. An increasing number of studies have leveraged mitochondrial DNA (mtDNA) mutations as efficient lineage-tracing markers of tumor clonality. We applied multiregional sampling and high-depth mtDNA sequencing to determine the metastatic patterns in advanced-stage OC patients. Somatic mtDNA mutations were profiled from a total of 195 primary and 200 metastatic tumor tissue samples from 35 OC patients. Our results revealed remarkable sample-level and patient-level heterogeneity. In addition, distinct mtDNA mutational patterns were observed between primary and metastatic OC tissues. Further analysis identified the different mutational spectra between shared and private mutations among primary and metastatic OC tissues. Analysis of the clonality index calculated based on mtDNA mutations supported a monoclonal tumor origin in 14 of 16 patients with bilateral ovarian cancers. Notably, mtDNA-based spatial phylogenetic analysis revealed distinct patterns of OC metastasis, in which a linear metastatic pattern exhibited a low degree of mtDNA mutation heterogeneity and a short evolutionary distance, whereas a parallel metastatic pattern showed the opposite trend. Moreover, a mtDNA-based tumor evolutionary score (MTEs) related to different metastatic patterns was defined. Our data showed that patients with different MTESs responded differently to combined debulking surgery and chemotherapy. Finally, we observed that tumor-derived mtDNA mutations were more likely to be detected in ascitic fluid than in plasma samples. Our study presents an explicit view of the OC metastatic pattern, which sheds light on efficient treatment for OC patients.
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Jingjing Gao,Xu Yang,Jian Huang,Kaixiang Peng 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.1
Stimulated by the enhancing requirements for system safety as well as process reliability in industrial processes, this paper investigates a subspace aided fault-tolerant control scheme for distributed homogeneous systems with symmetric interconnection pattern. To this end, a decomposition approach is first addressed to show how to convert and decompose the original distributed homogeneous system into a set of independent subsystems. Then, for the independent subsystems, offline subspace predictive controllers and recursive fault-tolerant subspace predictive controllers are designed respectively in a decentralized way. Finally, the controllers designed for the independent subsystems are converted back to the original distributed homogeneous system to achieve its faulttolerant control goal. The effectiveness of the proposed scheme is demonstrated by a case study on a multi-area interconnected power system.
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Differences in the starvation-induced autophagy response in MDA-MB-231 and MCF-7 breast cancer cells
Wanyun Zhu,Hong-Jiang Wei,Hong-Ye Zhao,Hao Qu,Kaixiang Xu,Baoyu Jia,Haifeng Li,Yimin Du,Guangming Liu 한국통합생물학회 2017 Animal cells and systems Vol.21 No.3
Breast cancer is a heterogeneous disease with distinct subtypes that have made targeted therapy of breast cancer challenging. Previous studies have demonstrated that an altered autophagy capacity can influence the development of breast cancer. However, the molecular differences in starvationinduced autophagic responses in MDA-MB-231 and MCF-7 cells have not been fully elucidated. In this study, we found that an increase of LC3B-II protein expression level and a decrease of the p62 protein expression level in both cells treated by Earle’s balanced salt solution. Meanwhile, we observed an increase of autophagosome using transmission electron microscopy and an enhancement in the green fluorescence intensity of LC3B protein by confocal microscopy. Furthermore, we detected the expression of 13 autophagy-related (ATG) genes and 11 autophagy signaling pathway-related genes using qPCR. Among 13 ATG genes, we found that 6 genes were up-regulated in treated MDA-MB-231 cells, while 4 genes were up-regulated and 1 gene was down-regulated in treated MCF-7 cells. In addition, among 11 autophagy signaling pathway-related genes, 7 genes were up-regulated in treated MDA-MB-231 cells, while 5 genes were up-regulated and 1 gene was down-regulated in treated MCF-7 cells. These findings suggest that the autophagic response to starvation was different in the two treated cell lines, which will contribute to further study on the molecular mechanism of starvation-induced autophagy and improve the targeted therapy of breast cancer.
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