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A developmental landscape of 3D-cultured human pre-gastrulation embryos 期刊论文
NATURE, 2020, 577 (7791) : 537-+
作者:  Xiang, Lifeng;  Yin, Yu;  Zheng, Yun;  Ma, Yanping;  Li, Yonggang;  Zhao, Zhigang;  Guo, Junqiang;  Ai, Zongyong;  Niu, Yuyu;  Duan, Kui;  He, Jingjing;  Ren, Shuchao;  Wu, Dan;  Bai, Yun;  Shang, Zhouchun;  Dai, Xi;  Ji, Weizhi;  Li, Tianqing
收藏  |  浏览/下载:12/0  |  提交时间:2020/07/03

Our understanding of how human embryos develop before gastrulation, including spatial self-organization and cell type ontogeny, remains limited by available two-dimensional technological platforms(1,2) that do not recapitulate the in vivo conditions(3-5). Here we report a three-dimensional (3D) blastocyst-culture system that enables human blastocyst development up to the primitive streak anlage stage. These 3D embryos mimic developmental landmarks and 3D architectures in vivo, including the embryonic disc, amnion, basement membrane, primary and primate unique secondary yolk sac, formation of anterior-posterior polarity and primitive streak anlage. Using single-cell transcriptome profiling, we delineate ontology and regulatory networks that underlie the segregation of epiblast, primitive endoderm and trophoblast. Compared with epiblasts, the amniotic epithelium shows unique and characteristic phenotypes. After implantation, specific pathways and transcription factors trigger the differentiation of cytotrophoblasts, extravillous cytotrophoblasts and syncytiotrophoblasts. Epiblasts undergo a transition to pluripotency upon implantation, and the transcriptome of these cells is maintained until the generation of the primitive streak anlage. These developmental processes are driven by different pluripotency factors. Together, findings from our 3D-culture approach help to determine the molecular and morphogenetic developmental landscape that occurs during human embryogenesis.


A 3D culture system to model human embryonic development, together with single-cell transcriptome profiling, provides insights into the molecular developmental landscape during human post-implantation embryogenesis.


  
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).


  
Targeting of temperate phages drives loss of type I CRISPR-Cas systems 期刊论文
NATURE, 2020, 578 (7793) : 149-+
作者:  Xiang, Lifeng;  Yin, Yu;  Zheng, Yun;  Ma, Yanping;  Li, Yonggang;  Zhao, Zhigang;  Guo, Junqiang;  Ai, Zongyong;  Niu, Yuyu;  Duan, Kui;  He, Jingjing;  Ren, Shuchao;  Wu, Dan;  Bai, Yun;  Shang, Zhouchun;  Dai, Xi;  Ji, Weizhi;  Li, Tianqing
收藏  |  浏览/下载:27/0  |  提交时间:2020/07/03

On infection of their host, temperate viruses that infect bacteria (bacteriophages  hereafter referred to as phages) enter either a lytic or a lysogenic cycle. The former results in lysis of bacterial cells and phage release (resulting in horizontal transmission), whereas lysogeny is characterized by the integration of the phage into the host genome, and dormancy (resulting in vertical transmission)(1). Previous co-culture experiments using bacteria and mutants of temperate phages that are locked in the lytic cycle have shown that CRISPR-Cas systems can efficiently eliminate the invading phages(2,3). Here we show that, when challenged with wild-type temperate phages (which can become lysogenic), type I CRISPR-Cas immune systems cannot eliminate the phages from the bacterial population. Furthermore, our data suggest that, in this context, CRISPR-Cas immune systems are maladaptive to the host, owing to the severe immunopathological effects that are brought about by imperfect matching of spacers to the integrated phage sequences (prophages). These fitness costs drive the loss of CRISPR-Cas from bacterial populations, unless the phage carries anti-CRISPR (acr) genes that suppress the immune system of the host. Using bioinformatics, we show that this imperfect targeting is likely to occur frequently in nature. These findings help to explain the patchy distribution of CRISPR-Cas immune systems within and between bacterial species, and highlight the strong selective benefits of phage-encoded acr genes for both the phage and the host under these circumstances.


CRISPR-Cas systems cannot eliminate temperate bacteriophages from bacterial populations and-in this context-the systems impose immunopathological costs on the host, creating selective pressures that may explain their patchy distribution in bacteria.


  
Ground-to-satellite quantum teleportation 期刊论文
NATURE, 2017, 549 (7670) : 70-+
作者:  Ren, Ji-Gang;  Xu, Ping;  Yong, Hai-Lin;  Zhang, Liang;  Liao, Sheng-Kai;  Yin, Juan;  Liu, Wei-Yue;  Cai, Wen-Qi;  Yang, Meng;  Li, Li;  Yang, Kui-Xing;  Han, Xuan;  Yao, Yong-Qiang;  Li, Ji;  Wu, Hai-Yan;  Wan, Song;  Liu, Lei;  Liu, Ding-Quan;  Kuang, Yao-Wu;  He, Zhi-Ping;  Shang, Peng;  Guo, Cheng;  Zheng, Ru-Hua;  Tian, Kai;  Zhu, Zhen-Cai;  Liu, Nai-Le;  Lu, Chao-Yang;  Shu, Rong;  Chen, Yu-Ao;  Peng, Cheng-Zhi;  Wang, Jian-Yu;  Pan, Jian-Wei
收藏  |  浏览/下载:13/0  |  提交时间:2019/11/27