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2020年上半年全球二氧化碳排放量较2019年同期减少8.8% 快报文章
气候变化快报,2020年第21期
作者:  董利苹
Microsoft Word(13Kb)  |  收藏  |  浏览/下载:397/0  |  提交时间:2020/11/05
Global CO2 Emissions  Near-real-time Monitoring  Effects of the COVID-19 Pandemic  
国际研究探讨COVID-19大流行对全球碳排放预测的影响 快报文章
气候变化快报,2020年第18期
作者:  曾静静
Microsoft Word(18Kb)  |  收藏  |  浏览/下载:406/0  |  提交时间:2020/09/20
COVID-19  Pandemic  Global Emission Projections  Impact Assessment  
国际研究首次定量评估COVID-19的社会经济环境影响 快报文章
气候变化快报,2020年第15期
作者:  曾静静
Microsoft Word(14Kb)  |  收藏  |  浏览/下载:335/0  |  提交时间:2020/08/05
Socio-economic losses  Environmental gains  Coronavirus pandemic  MRIO  
Identifying airborne transmission as the dominant route for the spread of COVID-19 期刊论文
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (26) : 14857-14863
作者:  Zhang, Renyi;  Li, Yixin;  Zhang, Annie L.;  Wang, Yuan;  Molina, Mario J.
收藏  |  浏览/下载:12/0  |  提交时间:2020/06/16
COVID-19  virus  aerosol  public health  pandemic  
Tackle coronavirus in vulnerable communities 期刊论文
NATURE, 2020, 581 (7808) : 239-240
作者:  Callaway, Ewen
收藏  |  浏览/下载:9/0  |  提交时间:2020/07/03

The pandemic has hit care homes, prisons and low-income communities hardest. Researchers are ready to help, but need data to be collected and shared.


The pandemic has hit care homes, prisons and low-income communities hardest. Researchers are ready to help, but need data to be collected and shared.


  
CORONAVIRUS PIECE BY PIECE 期刊论文
NATURE, 2020, 581 (7808) : 252-255
作者:  Maitra, Anirban
收藏  |  浏览/下载:11/0  |  提交时间:2020/07/03

Stopping the pandemic could rely on breakneck efforts to visualize SARS-CoV-2 proteins and use them to design drugs and vaccines.


Stopping the pandemic could rely on breakneck efforts to visualize SARS-CoV-2 proteins and use them to design drugs and vaccines.


  
Massively multiplexed nucleic acid detection with Cas13 期刊论文
NATURE, 2020, 582 (7811) : 277-+
作者:  Mahato, Biraj;  Kaya, Koray Dogan;  Fan, Yan;  Sumien, Nathalie;  Shetty, Ritu A.;  Zhang, Wei;  Davis, Delaney;  Mock, Thomas;  Batabyal, Subrata;  Ni, Aiguo;  Mohanty, Samarendra;  Han, Zongchao;  Farjo, Rafal;  Forster, Michael J.;  Swaroop, Anand;  Chavala, Sai H.
收藏  |  浏览/下载:62/0  |  提交时间:2020/07/03

CRISPR-based nucleic acid detection is used in a platform that can simultaneously detect 169 human-associated viruses in multiple samples, providing scalable, multiplexed pathogen detection aimed at routine surveillance for public health.


The great majority of globally circulating pathogens go undetected, undermining patient care and hindering outbreak preparedness and response. To enable routine surveillance and comprehensive diagnostic applications, there is a need for detection technologies that can scale to test many samples(1-3)while simultaneously testing for many pathogens(4-6). Here, we develop Combinatorial Arrayed Reactions for Multiplexed Evaluation of Nucleic acids (CARMEN), a platform for scalable, multiplexed pathogen detection. In the CARMEN platform, nanolitre droplets containing CRISPR-based nucleic acid detection reagents(7)self-organize in a microwell array(8)to pair with droplets of amplified samples, testing each sample against each CRISPR RNA (crRNA) in replicate. The combination of CARMEN and Cas13 detection (CARMEN-Cas13) enables robust testing of more than 4,500 crRNA-target pairs on a single array. Using CARMEN-Cas13, we developed a multiplexed assay that simultaneously differentiates all 169 human-associated viruses with at least 10 published genome sequences and rapidly incorporated an additional crRNA to detect the causative agent of the 2020 COVID-19 pandemic. CARMEN-Cas13 further enables comprehensive subtyping of influenza A strains and multiplexed identification of dozens of HIV drug-resistance mutations. The intrinsic multiplexing and throughput capabilities of CARMEN make it practical to scale, as miniaturization decreases reagent cost per test by more than 300-fold. Scalable, highly multiplexed CRISPR-based nucleic acid detection shifts diagnostic and surveillance efforts from targeted testing of high-priority samples to comprehensive testing of large sample sets, greatly benefiting patients and public health(9-11).


  
What China's coronavirus response can teach the rest of the world 期刊论文
NATURE, 2020, 579 (7800) : 479-480
作者:  Woolston, Chris;  Verdugo, Maria Josefa
收藏  |  浏览/下载:5/0  |  提交时间:2020/07/03

Researchers are studying the effects of China'  s lockdowns to glean insights about controlling the viral pandemic.


Researchers are studying the effects of China'  s lockdowns to glean insights about controlling the viral pandemic.


  
Coronavirus drugs trials need scale and collaboration 期刊论文
NATURE, 2020, 581 (7807) : 120-120
作者:  Armitage, Catherine
收藏  |  浏览/下载:3/0  |  提交时间:2020/07/03

The pandemic has given rise to too many small and uncontrolled clinical trials.


The pandemic has given rise to too many small and uncontrolled clinical trials.


  
Rapid reconstruction of SARS-CoV-2 using a synthetic genomics platform 期刊论文
NATURE, 2020
作者:  Touat, Mehdi;  Li, Yvonne Y.;  Boynton, Adam N.;  Spurr, Liam F.;  Iorgulescu, J. Bryan;  Bohrson, Craig L.;  Cortes-Ciriano, Isidro;  Birzu, Cristina;  Geduldig, Jack E.;  Pelton, Kristine;  Lim-Fat, Mary Jane;  Pal, Sangita;  Ferrer-Luna, Ruben;  Ramkissoon, Shakti H.;  Dubois, Frank;  Bellamy, Charlotte;  Currimjee, Naomi;  Bonardi, Juliana;  Qian Kenin;  Ho, Patricia;  Malinowski, Seth;  Taquet, Leon;  Jones, Robert E.;  Shetty, Aniket;  Chow, Kin-Hoe;  Sharaf, Radwa;  Pavlick, Dean;  Albacker, Lee A.;  Younan, Nadia;  Baldini, Capucine;  Verreault, Maite;  Giry, Marine;  Guillerm, Erell;  Ammari, Samy;  Beuvon, Frederic;  Mokhtari, Karima;  Alentorn, Agusti;  Dehais, Caroline;  Houillier, Caroline;  Laigle-Donadey, Florence;  Psimaras, Dimitri;  Lee, Eudocia Q.;  Nayak, Lakshmi;  McFaline-Figueroa, J. Ricardo;  Carpentier, Alexandre;  Cornu, Philippe;  Capelle, Laurent;  Mathon, Bertrand;  Barnholtz-Sloan, Jill S.;  Chakravarti, Arnab;  Bi, Wenya Linda;  Chiocca, E. Antonio;  Fehnel, Katie Pricola;  Alexandrescu, Sanda;  Chi, Susan N.;  Haas-Kogan, Daphne;  Batchelor, Tracy T.;  Frampton, Garrett M.;  Alexander, Brian M.;  Huang, Raymond Y.;  Ligon, Azra H.;  Coulet, Florence;  Delattre, Jean-Yves;  Hoang-Xuan, Khe;  Meredith, David M.;  Santagata, Sandro;  Duval, Alex;  Sanson, Marc;  Cherniack, Andrew D.;  Wen, Patrick Y.;  Reardon, David A.;  Marabelle, Aurelien;  Park, Peter J.;  Idbaih, Ahmed;  Beroukhim, Rameen;  Bandopadhayay, Pratiti;  Bielle, Franck;  Ligon, Keith L.
收藏  |  浏览/下载:11/0  |  提交时间:2020/07/03

Reverse genetics has been an indispensable tool to gain insights into viral pathogenesis and vaccine development. The genomes of large RNA viruses, such as those from coronaviruses, are cumbersome to clone and manipulate inEscherichia coliowing to the size and occasional instability of the genome(1-3). Therefore, an alternative rapid and robust reverse-genetics platform for RNA viruses would benefit the research community. Here we show the full functionality of a yeast-based synthetic genomics platform to genetically reconstruct diverse RNA viruses, including members of theCoronaviridae,FlaviviridaeandPneumoviridaefamilies. Viral subgenomic fragments were generated using viral isolates, cloned viral DNA, clinical samples or synthetic DNA, and these fragments were then reassembled in one step inSaccharomyces cerevisiaeusing transformation-associated recombination cloning to maintain the genome as a yeast artificial chromosome. T7 RNA polymerase was then used to generate infectious RNA to rescue viable virus. Using this platform, we were able to engineer and generate chemically synthesized clones of the virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)(4), which has caused the recent pandemic of coronavirus disease (COVID-19), in only a week after receipt of the synthetic DNA fragments. The technical advance that we describe here facilitates rapid responses to emerging viruses as it enables the real-time generation and functional characterization of evolving RNA virus variants during an outbreak.


A yeast-based synthetic genomics platform is used to reconstruct and characterize large RNA viruses from synthetic DNA fragments  this technique will facilitate the rapid analysis of RNA viruses, such as SARS-CoV-2, during an outbreak.