| 1 | Eosinophil-derived CCL-6 impairs hematopoietic stem cell homeostasis显示文摘嗜曙红血球(曙光女神) 长在层次造血的系统被看作了结束阶段受动器房间。证据的众多的线建议了那个曙光女神是关于各种各样的煽动性或有免疫力的反应的开始,繁殖和规定的多功能的白血球,特别在过敏疾病。最近的研究证明了那个曙光女神也为骨头髓血浆房间的维护和 B 房间的区别被要求。然而,曙光女神是否贡献造血的干细胞(HSC ) 的规定,仍然保持不清楚动态平衡。这里,我们证明曙光女神由在野类型的老鼠损害 HSC 静止和体质能力破坏 HSC 动态平衡后面的 ovalbumin (卵) 挑战并且甚至由引起骨头髓 HSC 在 Cd3-Il-5 转基因的老鼠的失败和疲劳。HSC 的损害维护和功能与导致曙光女神的氧化还原作用不平衡(增加的氧化 phosphorylation 和减少的抗氧化剂层次) 被联系。用集体 spectrometry,更重要地,我们决定 CCL-6 在嗜曙红血球过多下面在高水平被表示。我们证明 CCL-6 为损害 HSC 动态平衡导出曙光女神、负责。有趣地,有特定的抵销抗体的 CCL-6 的阻塞,当在质问卵的老鼠加重嗜曙红血球过多航线发炎时,恢复了 HSC 的体质能力。因此,我们的学习在 HSC 动态平衡揭示 Eos/CCL-6 的意外功能。 | Chao Zhang, Fei Li, Xufei Du, Man Luo, Wen Hua, Wen Li, Zhihua Chen, Songmin Ying, Huahao Shen Weiwei Yi, Hu Wang, Zhenyu Ju Hu Wang, Zhenyu Ju Ping Wu, Chao Peng, Catherine CL Wong James J Lee Songmin Ying Songmin Ying Huahao Shen | 2018 | Cell Research2018，28，3： | 6 |
| 2 | Biomarkers of aging显示文摘Aging biomarkers are a combination of biological parameters to(i)assess age-related changes,(ii)track the physiological aging process,and(iii)predict the transition into a pathological status.Although a broad spectrum of aging biomarkers has been developed,their potential uses and limitations remain poorly characterized.An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research:How old are we?Why do we get old?And how can we age slower?This review aims to address this need.Here,we summarize our current knowledge of biomarkers developed for cellular,organ,and organismal levels of aging,comprising six pillars:physiological characteristics,medical imaging,histological features,cellular alterations,molecular changes,and secretory factors.To fulfill all these requisites,we propose that aging biomarkers should qualify for being specific,systemic,and clinically relevant. | Aging Biomarker Consortium Hainan Bao Jiani Cao Mengting Chen Min Chen Wei Chen Xiao Chen Yanhao Chen Yu Chen Yutian Chen Zhiyang Chen Jagadish K Chhetri Yingjie Ding Junlin Feng Jun Guo Mengmeng Guo Chuting He Yujuan Jia Haiping Jiang Ying Jing Dingfeng Li Jiaming Li Jingyi Li Qinhao Liang Rui Liang Feng Liu Xiaoqian Liu Zuojun Liu Oscar Junhong Luo Jianwei Lv Jingyi Ma Kehang Mao Jiawei Nie Xinhua Qiao Xinpei Sun Xiaoqiang Tang Jianfang Wang Qiaoran Wang Siyuan Wang Xuan Wang Yaning Wang Yuhan Wang Rimo Wu Kai Xia Fu-Hui Xiao Lingyan Xu Yingying Xu Haoteng Yan Liang Yang Ruici Yang Yuanxin Yang Yilin Ying Le Zhang Weiwei Zhang Wenwan Zhang Xing Zhang Zhuo Zhang Min Zhou Rui Zhou Qingchen Zhu Zhengmao Zhu Feng Cao Zhongwei Cao Piu Chan Chang Chen Guobing Chen Hou-Zao Chen Jun Chen Weimin Ci Bi-Sen Ding Qiurong Ding Feng Gao Jing-Dong JHan Kai Huang Zhenyu Ju Qing-Peng Kong Ji Li Jian Li Xin Li Baohua Liu Feng Liu Lin Liu Qiang Liu Qiang Liu Xingguo Liu Yong Liu Xianghang Luo Shuai Ma Xinran Ma Zhiyong Mao Jing Nie Yaojin Peng Jing Qu Jie Ren Ruibao Ren Moshi Song Zhou Songyang Yi Eve Sun Yu Sun Mei Tian Shusen Wang Si Wang Xia Wang Xiaoning Wang Yan-Jiang Wang Yunfang Wang Catherine CL Wong Andy Peng Xiang Yichuan Xiao Zhengwei Xie Daichao Xu Jing Ye Rui Yue Cuntai Zhang Hongbo Zhang Liang Zhang Weiqi Zhang Yong Zhang Yun-Wu Zhang Zhuohua Zhang Tongbiao Zhao Yuzheng Zhao Dahai Zhu Weiguo Zou Gang Pei Guang-Hui Liu | 2023 | Science China(Life Sciences)2023，66，5： | 2 |
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