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您的检索式：作者名="Shanwen Lin"
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| 1 | Tissue-specific transcription reprogramming promotes liver metastasis of colorectal cancer显示文摘Metastasis,the development of secondary malignant growths at a distance from a primary tumor,is the cause of death for 90%of cancer patients,but little is known about how metastatic cancer cells adapt to and colonize new tissue environments.Here,using clinical samples,patient-derived xenograft(PDX)samples,PDX cells,and primary/metastatic cell lines,we discovered that liver metastatic colorectal cancer(CRC)cells lose their colon-specific gene transcription program yet gain a liver-specific gene transcription program.We showed that this transcription reprogramming is driven by a reshaped epigenetic landscape of both typical enhancers and super-enhancers.Further,we identified that the liver-specific transcription factors FOXA2 and HNF1A can bind to the gained enhancers and activate the liver-specific gene transcription,thereby driving CRC liver metastasis.Importantly,similar transcription reprogramming can be observed in multiple cancer types.Our data suggest that reprogrammed tissue-specific transcription promotes metastasis and should be targeted therapeutically. | Shuaishuai Teng Yang Eric Li Ming Yang Rui Qi Yiming Huang Qianyu Wang Yanmei Zhang Shanwen Chen Shasha Li Kequan Lin Yang Cao Qunsheng Ji Qingyang Gu Yujing Cheng Zai Chang Wei Guo Pengyuan Wang Ivan Garcia-Bassets Zhi John Lu Dong Wang | 2020 | Cell Research2020，30，1： | 11 |
| 2 | Multi-platform omics analysis reveals molecular signature for COVID-19 pathogenesis,prognosis and drug target discovery显示文摘Disease progression prediction and therapeutic drug target discovery for Coronavirus disease 2019(COVID-19)are particularly important,as there is still no effective strategy for severe COVID-19 patient treatment.Herein,we performed multi-platform omics analysis of serial plasma and urine samples collected from patients during the course of COVID-19.Integrative analyses of these omics data revealed several potential therapeutic targets,such as ANXA1 and CLEC3B.Molecular changes in plasma indicated dysregulation of macrophage and suppression of T cell functions in severe patients compared to those in non-severe patients.Further,we chose 25 important molecular signatures as potential biomarkers for the prediction of disease severity.The prediction power was validated using corresponding urine samples and plasma samples from new COVID-19 patient cohort,with AUC reached to 0.904 and 0.988,respectively.In conclusion,our omics data proposed not only potential therapeutic targets,but also biomarkers for understanding the pathogenesis of severe COVID-19. | Yuming Li Guixue Hou Haibo Zhou Yanqun Wang Hein Min Tun Airu Zhu Jingxian Zhao Fei Xiao Shanwen Lin Dongdong Liu Dunrong Zhou Lang Mai Lu Zhang Zhaoyong Zhang Lijun Kuang Jiao Guan Qiushi Chen Liyan Wen Yanjun Zhang Jianfen Zhuo Fang Li Zhen Zhuang Zhao Chen Ling Luo Donglan Liu Chunke Chen Mian Gan Nanshan Zhong Jincun Zhao Yan Ren Yonghao Xu | 2021 | Signal Transduction and Targeted Therapy2021，6，5： | 1 |
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