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Last glacial atmospheric CO(2)decline due to widespread Pacific deep-water expansion 期刊论文
NATURE GEOSCIENCE, 2020
作者:  Yu, J.;  Menviel, L.;  Jin, Z. D.;  Anderson, R. F.;  Jian, Z.;  Piotrowski, A. M.;  Ma, X.;  Rohling, E. J.;  Zhang, F.;  Marino, G.;  McManus, J. F.
收藏  |  浏览/下载:16/0  |  提交时间:2020/08/09
A seawater-sulfate origin for early Earth's volcanic sulfur 期刊论文
NATURE GEOSCIENCE, 2020
作者:  Ohmoto, Hiroshi
收藏  |  浏览/下载:6/0  |  提交时间:2020/08/09
Patterns of population displacement during mega-fires in California detected using Facebook Disaster Maps 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (7)
作者:  Jia, Shenyue;  Kim, Seung Hee;  Nghiem, Son, V;  Doherty, Paul;  Kafatos, Menas C.
收藏  |  浏览/下载:14/0  |  提交时间:2020/08/18
Facebook disaster maps  crowdsourced data  social media  Mann-Kendall trend  anomaly analysis  wildfires  California  
The age distribution of global soil carbon inferred from radiocarbon measurements 期刊论文
NATURE GEOSCIENCE, 2020
作者:  Shi, Zheng;  Allison, Steven D.;  He, Yujie;  Levine, Paul A.;  Hoyt, Alison M.;  Beem-Miller, Jeffrey;  Zhu, Qing;  Wieder, William R.;  Trumbore, Susan;  Randerson, James T.
收藏  |  浏览/下载:19/0  |  提交时间:2020/07/06
Facebook needs to share more with researchers 期刊论文
NATURE, 2020, 579 (7800) : 473-473
作者:  Viglione, Giuliana
收藏  |  浏览/下载:2/0  |  提交时间:2020/07/03

Private companies get free access to data that are more informative than what researchers are forced to compete for.


Private companies get free access to data that are more informative than what researchers are forced to compete for.


  
Sparse Ambient Resonance Measurements Reveal Dynamic Properties of Freestanding Rock Arches 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (9)
作者:  Geimer, Paul R.;  Finnegan, Riley;  Moore, Jeffrey R.
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/02
modal analysis  natural arch  structural health monitoring  ambient vibration  environmental seismology  
What users of global risk indicators should know 期刊论文
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2020, 62
作者:  Visser, H.;  de Bruin, S.;  Martens, A.;  Knoop, J.;  Ligtvoet, W.
收藏  |  浏览/下载:10/0  |  提交时间:2020/07/02
Campbell'  s law  Composite indicators  Global data sets  Metadata  Uncertainty and sensitivity analysis  
Population flow drives spatio-temporal distribution of COVID-19 in China 期刊论文
NATURE, 2020
作者:  Fernandez, Diego Carlos;  Komal, Ruchi;  Langel, Jennifer;  Ma, Jun;  Duy, Phan Q.;  Penzo, Mario A.;  Zhao, Haiqing;  Hattar, Samer
收藏  |  浏览/下载:70/0  |  提交时间:2020/07/03

Sudden, large-scale and diffuse human migration can amplify localized outbreaks of disease into widespread epidemics(1-4). Rapid and accurate tracking of aggregate population flows may therefore be epidemiologically informative. Here we use 11,478,484 counts of mobile phone data from individuals leaving or transiting through the prefecture of Wuhan between 1 January and 24 January 2020 as they moved to 296 prefectures throughout mainland China. First, we document the efficacy of quarantine in ceasing movement. Second, we show that the distribution of population outflow from Wuhan accurately predicts the relative frequency and geographical distribution of infections with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) until 19 February 2020, across mainland China. Third, we develop a spatio-temporal '  risk source'  model that leverages population flow data (which operationalize the risk that emanates from epidemic epicentres) not only to forecast the distribution of confirmed cases, but also to identify regions that have a high risk of transmission at an early stage. Fourth, we use this risk source model to statistically derive the geographical spread of COVID-19 and the growth pattern based on the population outflow from Wuhan  the model yields a benchmark trend and an index for assessing the risk of community transmission of COVID-19 over time for different locations. This approach can be used by policy-makers in any nation with available data to make rapid and accurate risk assessments and to plan the allocation of limited resources ahead of ongoing outbreaks.


Modelling of population flows in China enables the forecasting of the distribution of confirmed cases of COVID-19 and the identification of areas at high risk of SARS-CoV-2 transmission at an early stage.


  
A metabolic pathway for bile acid dehydroxylation by the gut microbiome 期刊论文
NATURE, 2020
作者:  Zhong, Miao;  Tran, Kevin;  Min, Yimeng;  Wang, Chuanhao;  Wang, Ziyun;  Dinh, Cao-Thang;  De Luna, Phil;  Yu, Zongqian;  Rasouli, Armin Sedighian;  Brodersen, Peter;  Sun, Song;  Voznyy, Oleksandr;  Tan, Chih-Shan;  Askerka, Mikhail;  Che, Fanglin;  Liu, Min;  Seifitokaldani, Ali;  Pang, Yuanjie;  Lo, Shen-Chuan;  Ip, Alexander;  Ulissi, Zachary;  Sargent, Edward H.
收藏  |  浏览/下载:15/0  |  提交时间:2020/07/03

The biosynthetic pathway that produces the secondary bile acids DCA and LCA in human gut microbes has been fully characterized, engineered into another bacterial host, and used to confer DCA production in germ-free mice-an important proof-of-principle for the engineering of gut microbial pathways.


The gut microbiota synthesize hundreds of molecules, many of which influence host physiology. Among the most abundant metabolites are the secondary bile acids deoxycholic acid (DCA) and lithocholic acid (LCA), which accumulate at concentrations of around 500 mu M and are known to block the growth ofClostridium difficile(1), promote hepatocellular carcinoma(2)and modulate host metabolism via the G-protein-coupled receptor TGR5 (ref.(3)). More broadly, DCA, LCA and their derivatives are major components of the recirculating pool of bile acids(4)  the size and composition of this pool are a target of therapies for primary biliary cholangitis and nonalcoholic steatohepatitis. Nonetheless, despite the clear impact of DCA and LCA on host physiology, an incomplete knowledge of their biosynthetic genes and a lack of genetic tools to enable modification of their native microbial producers limit our ability to modulate secondary bile acid levels in the host. Here we complete the pathway to DCA and LCA by assigning and characterizing enzymes for each of the steps in its reductive arm, revealing a strategy in which the A-B rings of the steroid core are transiently converted into an electron acceptor for two reductive steps carried out by Fe-S flavoenzymes. Using anaerobic in vitro reconstitution, we establish that a set of six enzymes is necessary and sufficient for the eight-step conversion of cholic acid to DCA. We then engineer the pathway intoClostridium sporogenes, conferring production of DCA and LCA on a nonproducing commensal and demonstrating that a microbiome-derived pathway can be expressed and controlled heterologously. These data establish a complete pathway to two central components of the bile acid pool.


  
Molecular basis of beta-arrestin coupling to formoterol-bound beta(1)-adrenoceptor 期刊论文
NATURE, 2020
作者:  Pulliainen, Jouni;  Luojus, Kari;  Derksen, Chris;  Mudryk, Lawrence;  Lemmetyinen, Juha;  Salminen, Miia;  Ikonen, Jaakko;  Takala, Matias;  Cohen, Juval;  Smolander, Tuomo;  Norberg, Johannes
收藏  |  浏览/下载:29/0  |  提交时间:2020/07/03

The beta(1)-adrenoceptor (beta(1)AR) is a G-protein-coupled receptor (GPCR) that couples(1)to the heterotrimeric G protein G(s). G-protein-mediated signalling is terminated by phosphorylation of the C terminus of the receptor by GPCR kinases (GRKs) and by coupling of beta-arrestin 1 (beta arr1, also known as arrestin 2), which displaces G(s)and induces signalling through the MAP kinase pathway(2). The ability of synthetic agonists to induce signalling preferentially through either G proteins or arrestins-known as biased agonism(3)-is important in drug development, because the therapeutic effect may arise from only one signalling cascade, whereas the other pathway may mediate undesirable side effects(4). To understand the molecular basis for arrestin coupling, here we determined the cryo-electron microscopy structure of the beta(1)AR-beta arr1 complex in lipid nanodiscs bound to the biased agonist formoterol(5), and the crystal structure of formoterol-bound beta(1)AR coupled to the G-protein-mimetic nanobody(6)Nb80. beta arr1 couples to beta(1)AR in a manner distinct to that(7)of G(s)coupling to beta(2)AR-the finger loop of beta arr1 occupies a narrower cleft on the intracellular surface, and is closer to transmembrane helix H7 of the receptor when compared with the C-terminal alpha 5 helix of G(s). The conformation of the finger loop in beta arr1 is different from that adopted by the finger loop of visual arrestin when it couples to rhodopsin(8). beta(1)AR coupled to beta arr1 shows considerable differences in structure compared with beta(1)AR coupled to Nb80, including an inward movement of extracellular loop 3 and the cytoplasmic ends of H5 and H6. We observe weakened interactions between formoterol and two serine residues in H5 at the orthosteric binding site of beta(1)AR, and find that formoterol has a lower affinity for the beta(1)AR-beta arr1 complex than for the beta(1)AR-G(s)complex. The structural differences between these complexes of beta(1)AR provide a foundation for the design of small molecules that could bias signalling in the beta-adrenoceptors.


A cryo-electron microscopy structure of the beta 1-adrenoceptor coupled to beta-arrestin 1 and activated by the biased agonist formoterol, as well as the crystal structure of a related formoterol-bound adrenoreceptor, provide insights into biased signalling in these systems.