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A dominant autoinflammatory disease caused by non-cleavable variants of RIPK1 期刊论文
NATURE, 2020, 577 (7788) : 109-+
作者:  Tao, Panfeng;  Sun, Jinqiao;  Wu, Zheming;  Wang, Shihao;  Wang, Jun;  Li, Wanjin;  Pan, Heling;  Bai, Renkui;  Zhang, Jiahui;  Wang, Ying;  Lee, Pui Y.;  Ying, Wenjing;  Zhou, Qinhua;  Hou, Jia;  Wang, Wenjie;  Sun, Bijun;  Yang, Mi;  Liu, Danru;  Fang, Ran;  Han, Huan;  Yang, Zhaohui;  Huang, Xin;  Li, Haibo;  Deuitch, Natalie;  Zhang, Yuan;  Dissanayake, Dilan;  Haude, Katrina;  McWalter, Kirsty;  Roadhouse, Chelsea;  MacKenzie, Jennifer J.;  Laxer, Ronald M.;  Aksentijevich, Ivona;  Yu, Xiaomin;  Wang, Xiaochuan;  Yuan, Junying;  Zhou, Qing
收藏  |  浏览/下载:23/0  |  提交时间:2020/07/03

Activation of RIPK1 controls TNF-mediated apoptosis, necroptosis and inflammatory pathways(1). Cleavage of human and mouse RIPK1 after residues D324 and D325, respectively, by caspase-8 separates the RIPK1 kinase domain from the intermediate and death domains. The D325A mutation in mouse RIPK1 leads to embryonic lethality during mouse development(2,3). However, the functional importance of blocking caspase-8-mediated cleavage of RIPK1 on RIPK1 activation in humans is unknown. Here we identify two families with variants in RIPK1 (D324V and D324H) that lead to distinct symptoms of recurrent fevers and lymphadenopathy in an autosomaldominant manner. Impaired cleavage of RIPK1 D324 variants by caspase-8 sensitized patients'  peripheral blood mononuclear cells to RIPK1 activation, apoptosis and necroptosis induced by TNF. The patients showed strong RIPK1-dependent activation of inflammatory signalling pathways and overproduction of inflammatory cytokines and chemokines compared with unaffected controls. Furthermore, we show that expression of the RIPK1 mutants D325V or D325H in mouse embryonic fibroblasts confers not only increased sensitivity to RIPK1 activation-mediated apoptosis and necroptosis, but also induction of pro-inflammatory cytokines such as IL-6 and TNF. By contrast, patient-derived fibroblasts showed reduced expression of RIPK1 and downregulated production of reactive oxygen species, resulting in resistance to necroptosis and ferroptosis. Together, these data suggest that human non-cleavable RIPK1 variants promote activation of RIPK1, and lead to an autoinflammatory disease characterized by hypersensitivity to apoptosis and necroptosis and increased inflammatory response in peripheral blood mononuclear cells, as well as a compensatory mechanism to protect against several pro-death stimuli in fibroblasts.


  
A lower X-gate in TASK channels traps inhibitors within the vestibule 期刊论文
NATURE, 2020
作者:  Chen, Tao;  Nomura, Kinya;  Wang, Xiaolin;  Sohrabi, Reza;  Xu, Jin;  Yao, Lingya;  Paasch, Bradley C.;  Ma, Li;  Kremer, James;  Cheng, Yuti;  Zhang, Li;  Wang, Nian;  Wang, Ertao;  Xin, Xiu-Fang;  He, Sheng Yang
收藏  |  浏览/下载:32/0  |  提交时间:2020/07/03

TWIK-related acid-sensitive potassium (TASK) channels-members of the two pore domain potassium (K-2P) channel family-are found in neurons(1), cardiomyocytes(2-4) and vascular smooth muscle cells(5), where they are involved in the regulation of heart rate(6), pulmonary artery tone(5,7), sleep/wake cycles(8) and responses to volatile anaesthetics(8-11). K-2P channels regulate the resting membrane potential, providing background K+ currents controlled by numerous physiological stimuli(12-15). Unlike other K-2P channels, TASK channels are able to bind inhibitors with high affinity, exceptional selectivity and very slow compound washout rates. As such, these channels are attractive drug targets, and TASK-1 inhibitors are currently in clinical trials for obstructive sleep apnoea and atrial fibrillation(16). In general, potassium channels have an intramembrane vestibule with a selectivity filter situated above and a gate with four parallel helices located below  however, the K-2P channels studied so far all lack a lower gate. Here we present the X-ray crystal structure of TASK-1, and show that it contains a lower gate-which we designate as an '  X-gate'  -created by interaction of the two crossed C-terminal M4 transmembrane helices at the vestibule entrance. This structure is formed by six residues ((VLRFMT248)-V-243) that are essential for responses to volatile anaesthetics(10), neurotransmitters(13) and G-protein-coupled receptors(13). Mutations within the X-gate and the surrounding regions markedly affect both the channel-open probability and the activation of the channel by anaesthetics. Structures of TASK-1 bound to two high-affinity inhibitors show that both compounds bind below the selectivity filter and are trapped in the vestibule by the X-gate, which explains their exceptionally low washout rates. The presence of the X-gate in TASK channels explains many aspects of their physiological and pharmacological behaviour, which will be beneficial for the future development and optimization of TASK modulators for the treatment of heart, lung and sleep disorders.


The X-ray crystal structure of the potassium channel TASK-1 reveals the presence of an X-gate, which traps small-molecule inhibitors in the intramembrane vestibule and explains their low washout rates from the channel.


  
Nanoplasma-enabled picosecond switches for ultrafast electronics (vol 579, pg 534, 2020) 期刊论文
NATURE, 2020, 580 (7803) : E8-E8
作者:  Li, Jing;  Xu, Chuanliang;  Lee, Hyung Joo;  Ren, Shancheng;  Zi, Xiaoyuan;  Zhang, Zhiming;  Wang, Haifeng;  Yu, Yongwei;  Yang, Chenghua;  Gao, Xiaofeng;  Hou, Jianguo;  Wang, Linhui;  Yang, Bo;  Yang, Qing;  Ye, Huamao;  Zhou, Tie;  Lu, Xin;  Wang, Yan;  Qu, Min;  Yang, Qingsong;  Zhang, Wenhui;  Shah, Nakul M.;  Pehrsson, Erica C.;  Wang, Shuo;  Wang, Zengjun;  Jiang, Jun;  Zhu, Yan;  Chen, Rui;  Chen, Huan;  Zhu, Feng;  Lian, Bijun;  Li, Xiaoyun;  Zhang, Yun;  Wang, Chao;  Wang, Yue;  Xiao, Guangan;  Jiang, Junfeng;  Yang, Yue;  Liang, Chaozhao;  Hou, Jianquan;  Han, Conghui;  Chen, Ming;  Jiang, Ning;  Zhang, Dahong;  Wu, Song;  Yang, Jinjian;  Wang, Tao;  Chen, Yongliang;  Cai, Jiantong;  Yang, Wenzeng;  Xu, Jun;  Wang, Shaogang;  Gao, Xu;  Wang, Ting;  Sun, Yinghao
收藏  |  浏览/下载:18/0  |  提交时间:2020/07/03
Mutational signature in colorectal cancer caused by genotoxic pks(+)E. coli 期刊论文
NATURE, 2020, 580 (7802) : 269-+
作者:  Lin, Xi;  Li, Mingyue;  Wang, Niandong;  Wu, Yiran;  Luo, Zhipu;  Guo, Shimeng;  Han, Gye-Won;  Li, Shaobai;  Yue, Yang;  Wei, Xiaohu;  Xie, Xin;  Chen, Yong;  Zhao, Suwen;  Wu, Jian;  Lei, Ming;  Xu, Fei
收藏  |  浏览/下载:22/0  |  提交时间:2020/07/03

Various species of the intestinal microbiota have been associated with the development of colorectal cancer(1,2), but it has not been demonstrated that bacteria have a direct role in the occurrence of oncogenic mutations. Escherichia coli can carry the pathogenicity island pks, which encodes a set of enzymes that synthesize colibactin(3). This compound is believed to alkylate DNA on adenine residues(4,5) and induces double-strand breaks in cultured cells(3). Here we expose human intestinal organoids to genotoxic pks(+)E. coli by repeated luminal injection over five months. Whole-genome sequencing of clonal organoids before and after this exposure revealed a distinct mutational signature that was absent from organoids injected with isogenic pks-mutant bacteria. The same mutational signature was detected in a subset of 5,876 human cancer genomes from two independent cohorts, predominantly in colorectal cancer. Our study describes a distinct mutational signature in colorectal cancer and implies that the underlying mutational process results directly from past exposure to bacteria carrying the colibactin-producing pks pathogenicity island.


Organoids derived from human intestinal cells that are co-cultured with bacteria carrying the genotoxic pks(+) island develop a distinct mutational signature associated with colorectal cancer.


  
Improved protein structure prediction using potentials from deep learning 期刊论文
NATURE, 2020, 577 (7792) : 706-+
作者:  Ma, Runze;  Cao, Duanyun;  Zhu, Chongqin;  Tian, Ye;  Peng, Jinbo;  Guo, Jing;  Chen, Ji;  Li, Xin-Zheng;  Francisco, Joseph S.;  Zeng, Xiao Cheng;  Xu, Li-Mei;  Wang, En-Ge;  Jiang, Ying
收藏  |  浏览/下载:142/0  |  提交时间:2020/07/03

Protein structure prediction can be used to determine the three-dimensional shape of a protein from its amino acid sequence(1). This problem is of fundamental importance as the structure of a protein largely determines its function(2)  however, protein structures can be difficult to determine experimentally. Considerable progress has recently been made by leveraging genetic information. It is possible to infer which amino acid residues are in contact by analysing covariation in homologous sequences, which aids in the prediction of protein structures(3). Here we show that we can train a neural network to make accurate predictions of the distances between pairs of residues, which convey more information about the structure than contact predictions. Using this information, we construct a potential of mean force(4) that can accurately describe the shape of a protein. We find that the resulting potential can be optimized by a simple gradient descent algorithm to generate structures without complex sampling procedures. The resulting system, named AlphaFold, achieves high accuracy, even for sequences with fewer homologous sequences. In the recent Critical Assessment of Protein Structure Prediction(5) (CASP13)-a blind assessment of the state of the field-AlphaFold created high-accuracy structures (with template modelling (TM) scores(6) of 0.7 or higher) for 24 out of 43 free modelling domains, whereas the next best method, which used sampling and contact information, achieved such accuracy for only 14 out of 43 domains. AlphaFold represents a considerable advance in protein-structure prediction. We expect this increased accuracy to enable insights into the function and malfunction of proteins, especially in cases for which no structures for homologous proteins have been experimentally determined(7).


  
The evolutionary history of 2,658 cancers 期刊论文
NATURE, 2020, 578 (7793) : 122-+
作者:  Tao, Panfeng;  Sun, Jinqiao;  Wu, Zheming;  Wang, Shihao;  Wang, Jun;  Li, Wanjin;  Pan, Heling;  Bai, Renkui;  Zhang, Jiahui;  Wang, Ying;  Lee, Pui Y.;  Ying, Wenjing;  Zhou, Qinhua;  Hou, Jia;  Wang, Wenjie;  Sun, Bijun;  Yang, Mi;  Liu, Danru;  Fang, Ran;  Han, Huan;  Yang, Zhaohui;  Huang, Xin;  Li, Haibo;  Deuitch, Natalie;  Zhang, Yuan;  Dissanayake, Dilan;  Haude, Katrina;  McWalter, Kirsty;  Roadhouse, Chelsea;  MacKenzie, Jennifer J.;  Laxer, Ronald M.;  Aksentijevich, Ivona;  Yu, Xiaomin;  Wang, Xiaochuan;  Yuan, Junying;  Zhou, Qing
收藏  |  浏览/下载:33/0  |  提交时间:2020/07/03

Cancer develops through a process of somatic evolution(1,2). Sequencing data from a single biopsy represent a snapshot of this process that can reveal the timing of specific genomic aberrations and the changing influence of mutational processes(3). Here, by whole-genome sequencing analysis of 2,658 cancers as part of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA)(4), we reconstruct the life history and evolution of mutational processes and driver mutation sequences of 38 types of cancer. Early oncogenesis is characterized by mutations in a constrained set of driver genes, and specific copy number gains, such as trisomy 7 in glioblastoma and isochromosome 17q in medulloblastoma. The mutational spectrum changes significantly throughout tumour evolution in 40% of samples. A nearly fourfold diversification of driver genes and increased genomic instability are features of later stages. Copy number alterations often occur in mitotic crises, and lead to simultaneous gains of chromosomal segments. Timing analyses suggest that driver mutations often precede diagnosis by many years, if not decades. Together, these results determine the evolutionary trajectories of cancer, and highlight opportunities for early cancer detection.


  
High thermoelectric performance in low-cost SnS0.91Se0.09 crystals 期刊论文
SCIENCE, 2019, 365 (6460) : 1418-+
作者:  He, Wenke;  Wang, Dongyang;  Wu, Haijun;  Xiao, Yu;  Zhang, Yang;  He, Dongsheng;  Feng, Yue;  Hao, Yu-Jie;  Dong, Jin-Feng;  Chetty, Raju;  Hao, Lijie;  Chen, Dongfeng;  Qin, Jianfei;  Yang, Qiang;  Li, Xin;  Song, Jian-Ming;  Zhu, Yingcai;  Xu, Wei;  Niu, Changlei;  Li, Xin;  Wang, Guangtao;  Liu, Chang;  Ohta, Michibiro;  Pennycook, Stephen J.;  He, Jiaqing;  Li, Jing-Feng;  Zhao, Li-Dong
收藏  |  浏览/下载:22/0  |  提交时间:2019/11/27
Invest in a mphibians and reptiles 期刊论文
SCIENCE, 2019, 364 (6446) : 1144-1144
作者:  Liu, Huinian;  Li, Xin;  Zhang, Chang
收藏  |  浏览/下载:0/0  |  提交时间:2019/11/27
Pan-cancer genome and transcriptome analyses of 1,699 paediatric leukaemias and solid tumours 期刊论文
NATURE, 2018, 555 (7696) : 371-+
作者:  Ma, Xiaotu;  Liu, Yu;  Liu, Yanling;  Alexandrov, Ludmil B.;  Edmonson, Michael N.;  Gawad, Charles;  Zhou, Xin;  Li, Yongjin;  Rusch, Michael C.;  Easton, John;  Huether, Robert;  Gonzalez-Pena, Veronica;  Wilkinson, Mark R.;  Hermida, Leandro C.;  Davis, Sean;  Sioson, Edgar;  Pounds, Stanley;  Cao, Xueyuan;  Ries, Rhonda E.;  Wang, Zhaoming;  Chen, Xiang;  Dong, Li;  Diskin, Sharon J.;  Smith, Malcolm A.;  Auvil, Jaime M. Guidry;  Meltzer, Paul S.;  Lau, Ching C.;  Perlman, Elizabeth J.;  Maris, John M.;  Meshinchi, Soheil;  Hunger, Stephen P.;  Gerhard, Daniela S.;  Zhang, Jinghui
收藏  |  浏览/下载:15/0  |  提交时间:2019/11/27
Lunar farside to be explored by Chang'e-4 期刊论文
NATURE GEOSCIENCE, 2019, 12 (4) : 222-223
作者:  Wu, Weiren;  Li, Chunlai;  Zuo, Wei;  Zhang, Hongbo;  Liu, Jianjun;  Wen, Weibin;  Su, Yan;  Ren, Xin;  Yan, Jun;  Yu, Dengyun;  Dong, Guangliang;  Wang, Chi;  Sun, Zezhou;  Liu, Enhai;  Yang, Jianfeng;  Ouyang, Ziyuan
收藏  |  浏览/下载:8/0  |  提交时间:2019/11/26