Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Kailong Ma"'
Autor:
Alvaro Martinez Barrio, Sangeet Lamichhaney, Guangyi Fan, Nima Rafati, Mats Pettersson, He Zhang, Jacques Dainat, Diana Ekman, Marc Höppner, Patric Jern, Marcel Martin, Björn Nystedt, Xin Liu, Wenbin Chen, Xinming Liang, Chengcheng Shi, Yuanyuan Fu, Kailong Ma, Xiao Zhan, Chungang Feng, Ulla Gustafson, Carl-Johan Rubin, Markus Sällman Almén, Martina Blass, Michele Casini, Arild Folkvord, Linda Laikre, Nils Ryman, Simon Ming-Yuen Lee, Xun Xu, Leif Andersson
Publikováno v:
eLife, Vol 5 (2016)
Ecological adaptation is of major relevance to speciation and sustainable population management, but the underlying genetic factors are typically hard to study in natural populations due to genetic differentiation caused by natural selection being co
Externí odkaz:
https://doaj.org/article/6a1c8f44e277485c8ccd4757a747192d
Autor:
Changwei Shao, Shuai Sun, Kaiqiang Liu, Jiahao Wang, Shuo Li, Qun Liu, Bruce E. Deagle, Inge Seim, Alberto Biscontin, Qian Wang, Xin Liu, So Kawaguchi, Yalin Liu, Simon Jarman, Yue Wang, Hong-Yan Wang, Guodong Huang, Jiang Hu, Bo Feng, Cristiano De Pittà, Shanshan Liu, Rui Wang, Kailong Ma, Yiping Ying, Gabrielle Sales, Tao Sun, Xinliang Wang, Yaolei Zhang, Yunxia Zhao, Shanshan Pan, Xiancai Hao, Yang Wang, Jiakun Xu, Bowen Yue, Yanxu Sun, He Zhang, Mengyang Xu, Yuyan Liu, Xiaodong Jia, Jiancheng Zhu, Shufang Liu, Jue Ruan, Guojie Zhang, Huanming Yang, Xun Xu, Jun Wang, Xianyong Zhao, Bettina Meyer, Guangyi Fan
Publikováno v:
EPIC3Cell, Elsevier BV, 186(6), pp. 1279-1294.e19, ISSN: 0092-8674
Shao, C, Sun, S, Liu, K, Wang, J, Li, S, Liu, Q, Deagle, B E, Seim, I, Biscontin, A, Wang, Q, Liu, X, Kawaguchi, S, Liu, Y, Jarman, S, Wang, Y, Wang, H Y, Huang, G, Hu, J, Feng, B, De Pittà, C, Liu, S, Wang, R, Ma, K, Ying, Y, Sales, G, Sun, T, Wang, X, Zhang, Y, Zhao, Y, Pan, S, Hao, X, Wang, Y, Xu, J, Yue, B, Sun, Y, Zhang, H, Xu, M, Liu, Y, Jia, X, Zhu, J, Liu, S, Ruan, J, Zhang, G, Yang, H, Xu, X, Wang, J, Zhao, X, Meyer, B & Fan, G 2023, ' The enormous repetitive Antarctic krill genome reveals environmental adaptations and population insights ', Cell, vol. 186, no. 6, pp. 1279-1294.e19 . https://doi.org/10.1016/j.cell.2023.02.005
Shao, C, Sun, S, Liu, K, Wang, J, Li, S, Liu, Q, Deagle, B E, Seim, I, Biscontin, A, Wang, Q, Liu, X, Kawaguchi, S, Liu, Y, Jarman, S, Wang, Y, Wang, H Y, Huang, G, Hu, J, Feng, B, De Pittà, C, Liu, S, Wang, R, Ma, K, Ying, Y, Sales, G, Sun, T, Wang, X, Zhang, Y, Zhao, Y, Pan, S, Hao, X, Wang, Y, Xu, J, Yue, B, Sun, Y, Zhang, H, Xu, M, Liu, Y, Jia, X, Zhu, J, Liu, S, Ruan, J, Zhang, G, Yang, H, Xu, X, Wang, J, Zhao, X, Meyer, B & Fan, G 2023, ' The enormous repetitive Antarctic krill genome reveals environmental adaptations and population insights ', Cell, vol. 186, no. 6, pp. 1279-1294.e19 . https://doi.org/10.1016/j.cell.2023.02.005
Antarctic krill (Euphausia superba) is Earth’s most abundant wild animal, and its enormous biomass is vital to the Southern Ocean ecosystem. Here, we report a 48.01-Gb chromosome-level Antarctic krill genome, whose large genome size appears to have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c002048933e85d6e4f9763745a765cc1
https://hdl.handle.net/10013/epic.8a3a83f9-faad-43e3-a2f2-72fac929600c
https://hdl.handle.net/10013/epic.8a3a83f9-faad-43e3-a2f2-72fac929600c
Autor:
Xiaoyu Wei, Sulei Fu, Hanbo Li, Yang Liu, Shuai Wang, Weimin Feng, Yunzhi Yang, Xiawei Liu, Yan-Yun Zeng, Mengnan Cheng, Yiwei Lai, Xiaojie Qiu, Liang Wu, Nannan Zhang, Yujia Jiang, Jiangshan Xu, Xiaoshan Su, Cheng Peng, Lei Han, Wilson Pak-Kin Lou, Chuanyu Liu, Yue Yuan, Kailong Ma, Tao Yang, Xiangyu Pan, Shang Gao, Ao Chen, Miguel A. Esteban, Huanming Yang, Jian Wang, Guangyi Fan, Longqi Liu, Liang Chen, Xun Xu, Ji-Feng Fei, Ying Gu
Publikováno v:
Science. 377
The molecular mechanism underlying brain regeneration in vertebrates remains elusive. We performed spatial enhanced resolution omics sequencing (Stereo-seq) to capture spatially resolved single-cell transcriptomes of axolotl telencephalon sections du
Autor:
Ao Chen, Yidi Sun, Ying Lei, Chao Li, Sha Liao, Zhifeng Liang, Feng Lin, Nini Yuan, Mei Li, Kexin Wang, Meisong Yang, Shuzhen Zhang, Zhenkun Zhuang, Juan Meng, Qiong Song, Yong Zhang, Yuanfang Xu, Luman Cui, Lei Han, Hao Yang, Xing Sun, Tianyi Fei, Bichao Chen, Wenjiao Li, Baoqian Huangfu, Kailong Ma, Zhao Li, Yikun Lin, Zhen Liu, He Wang, Yanqing Zhong, Huifang Zhang, Qian Yu, Yaqian Wang, Zhiyong Zhu, Xing Liu, Jian Peng, Chuanyu Liu, Wei Chen, Yingjie An, Shihui Xia, Yanbing Lu, Mingli Wang, Xinxiang Song, Shuai Liu, Zhifeng Wang, Chun Gong, Xin Huang, Yue Yuan, Yun Zhao, Zhenhui Luo, Xing Tan, Jianfeng Liu, Mingyuan Zheng, Shengkang Li, Yaling Huang, Yan Hong, Zirui Huang, Min Li, Ruiyi Zhang, Mengmeng Jin, Yan Li, Hui Zhang, Suhong Sun, Yinqi Bai, Mengnan Cheng, Guohai Hu, Shiping Liu, Bo Wang, Bin Xiang, Shuting Li, Huanhuan Li, Mengni Chen, Shiwen Wang, Qi Zhang, Weibin Liu, Xin Liu, Qian Zhao, Michael Lisby, Jing Wang, Jiao Fang, Zhiyue Lu, Yun Lin, Qing Xie, Jie He, Huatai Xu, Wei Huang, Wu Wei, Huanming Yang, Yangang Sun, Muming Poo, Jian Wang, Yuxiang Li, Zhiming Shen, Longqi Liu, Zhiyong Liu, Xun Xu, Chengyu Li
Global profile of gene expression at single-cell resolution remains to be determined for primates. Using a recently developed technology (“Stereo-seq”), we have obtained a comprehensive single-cell spatial transcriptome map at the whole-brain lev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91696bcb5917788d7802c32e8cf6eebc
https://doi.org/10.1101/2022.03.23.485448
https://doi.org/10.1101/2022.03.23.485448
Publikováno v:
Pattern Recognition and Artificial Intelligence ISBN: 9783031090363
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1450e602aca4cc4a6211bd492c13509e
https://doi.org/10.1007/978-3-031-09037-0_12
https://doi.org/10.1007/978-3-031-09037-0_12
Autor:
Chang Liu, Rui Li, Young Li, Xiumei Lin, Kaichen Zhao, Qun Liu, Shuowen Wang, Xueqian Yang, Xuyang Shi, Yuting Ma, Chenyu Pei, Hui Wang, Wendai Bao, Junhou Hui, Tao Yang, Zhicheng Xu, Tingting Lai, Michael Arman Berberoglu, Sunil Kumar Sahu, Miguel A. Esteban, Kailong Ma, Guangyi Fan, Yuxiang Li, Shiping Liu, Ao Chen, Xun Xu, Zhiqiang Dong, Longqi Liu
Publikováno v:
Liu, C, Li, R, Li, Y, Lin, X, Zhao, K, Liu, Q, Wang, S, Yang, X, Shi, X, Ma, Y, Pei, C, Wang, H, Bao, W, Hui, J, Yang, T, Xu, Z, Lai, T, Berberoglu, M A, Sahu, S K, Esteban, M A, Ma, K, Fan, G, Li, Y, Liu, S, Chen, A, Xu, X, Dong, Z & Liu, L 2022, ' Spatiotemporal mapping of gene expression landscapes and developmental trajectories during zebrafish embryogenesis ', Developmental Cell, vol. 57, no. 10, pp. 1284-1298.e5 . https://doi.org/10.1016/j.devcel.2022.04.009
A major challenge in understanding vertebrate embryogenesis is the lack of topographical transcriptomic information that can help correlate microenvironmental cues within the hierarchy of cell-fate decisions. Here, we employed Stereo-seq to profile 9
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cbed7f2f3e2cee862545dfe47a3b38e
https://curis.ku.dk/portal/da/publications/spatiotemporal-mapping-of-gene-expression-landscapes-and-developmental-trajectories-during-zebrafish-embryogenesis(f032e4ac-9899-4cdf-9ba5-a35175dd3b5f).html
https://curis.ku.dk/portal/da/publications/spatiotemporal-mapping-of-gene-expression-landscapes-and-developmental-trajectories-during-zebrafish-embryogenesis(f032e4ac-9899-4cdf-9ba5-a35175dd3b5f).html
Autor:
Ao Chen, Sha Liao, Mengnan Cheng, Kailong Ma, Liang Wu, Yiwei Lai, Xiaojie Qiu, Jin Yang, Jiangshan Xu, Shijie Hao, Xin Wang, Huifang Lu, Xi Chen, Xing Liu, Xin Huang, Zhao Li, Yan Hong, Yujia Jiang, Jian Peng, Shuai Liu, Mengzhe Shen, Chuanyu Liu, Quanshui Li, Yue Yuan, Xiaoyu Wei, Huiwen Zheng, Weimin Feng, Zhifeng Wang, Yang Liu, Zhaohui Wang, Yunzhi Yang, Haitao Xiang, Lei Han, Baoming Qin, Pengcheng Guo, Guangyao Lai, Pura Muñoz-Cánoves, Patrick H. Maxwell, Jean Paul Thiery, Qing-Feng Wu, Fuxiang Zhao, Bichao Chen, Mei Li, Xi Dai, Shuai Wang, Haoyan Kuang, Junhou Hui, Liqun Wang, Ji-Feng Fei, Ou Wang, Xiaofeng Wei, Haorong Lu, Bo Wang, Shiping Liu, Ying Gu, Ming Ni, Wenwei Zhang, Feng Mu, Ye Yin, Huanming Yang, Michael Lisby, Richard J. Cornall, Jan Mulder, Mathias Uhlén, Miguel A. Esteban, Yuxiang Li, Longqi Liu, Xun Xu, Jian Wang
Publikováno v:
Chen, A, Liao, S, Cheng, M, Ma, K, Wu, L, Lai, Y, Qiu, X, Yang, J, Xu, J, Hao, S, Wang, X, Lu, H, Chen, X, Liu, X, Huang, X, Li, Z, Hong, Y, Jiang, Y, Peng, J, Liu, S, Shen, M, Liu, C, Li, Q, Yuan, Y, Wei, X, Zheng, H, Feng, W, Wang, Z, Liu, Y, Wang, Z, Yang, Y, Xiang, H, Han, L, Qin, B, Guo, P, Lai, G, Muñoz-Cánoves, P, Maxwell, P H, Thiery, J P, Wu, Q-F, Zhao, F, Chen, B, Li, M, Dai, X, Wang, S, Kuang, H, Hui, J, Wang, L, Fei, J-F, Wang, O, Wei, X, Lu, H, Wang, B, Liu, S, Gu, Y, Ni, M, Zhang, W, Mu, F, Yin, Y, Yang, H, Lisby, M, Cornall, R J, Mulder, J, Uhlén, M, Esteban, M A, Li, Y, Liu, L, Xu, X & Wang, J 2022, ' Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays ', Cell, vol. 185, no. 10, pp. 1777-1792.e21 . https://doi.org/10.1016/j.cell.2022.04.003
Spatially resolved transcriptomic technologies are promising tools to study complex biological processes such as mammalian embryogenesis. However, the imbalance between resolution, gene capture, and field of view of current methodologies precludes th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fabc9798c1368f1bac28825cf4ea3d4b
https://curis.ku.dk/portal/da/publications/spatiotemporal-transcriptomic-atlas-of-mouse-organogenesis-using-dna-nanoballpatterned-arrays(dd123904-163c-4267-bf46-c612c3bc3492).html
https://curis.ku.dk/portal/da/publications/spatiotemporal-transcriptomic-atlas-of-mouse-organogenesis-using-dna-nanoballpatterned-arrays(dd123904-163c-4267-bf46-c612c3bc3492).html
Observing the spatial characteristics of gene expression by image-based spatial transcriptomics technology allows studying gene activities across different cells and intracellular structures. We introduce a probabilistic approach for the registration
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25daeb5d918357ec5cd1de3e279aa6f2
https://doi.org/10.1101/2021.10.05.463196
https://doi.org/10.1101/2021.10.05.463196
Autor:
Chuanyu Liu, Yiwei Lai, Haitao Xiang, Zhaohui Wang, Zhifeng Wang, Longqi Liu, Fuxiang Zhao, Yuxiang Li, Quanshui Li, Pura Muñoz Cánoves, Ou Wang, Michael Lisby, Shuai Liu, Huanming Yang, Bo Wang, Shiping Liu, Shijie Hao, Jian Peng, Yujia Jiang, Jan Mulder, Baoming Qin, Wenjiao Li, Huifang Lu, Sha Liao, Jin Yang, Mathias Uhlén, Miguel A. Esteban, Wenwei Zhang, Yue Yuan, Jian Wang, Mengnan Cheng, Xi Chen, Haorong Lu, Jean Paul Thiery, Xin Wang, Pengcheng Guo, Mengzhe Shen, Lei Han, Haoyan Kuang, Ye Yin, Kailong Ma, Yan Hong, Liang Wu, Zhao Li, Ming Ni, Xun Xu, Jiangshan Xu, Richard J. Cornall, Ao Chen, Xiaojie Qiu, Mei Li, Xin Huang, Feng Lin, Defeng Fu, Feng Mu, Xing Liu, Qing-Feng Wu, Huiwen Zheng, Junhou Hui
SUMMARYSpatially resolved transcriptomic technologies are promising tools to study cell fate decisions in a physical microenvironment, which is fundamental for enhancing our knowledge of mammalian development. However, the imbalance between resolutio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::431ba5dd2616907c1acb148e5a4bb7d5
https://doi.org/10.1101/2021.01.17.427004
https://doi.org/10.1101/2021.01.17.427004
Autor:
Jiandong Li, Tao Jin, Huijue Jia, Kailong Ma, Xun Xu, Shisong Fang, Xin Liu, Jinmin Ma, Lei Li, Wei Su, Rongrong Zou, Na Pei, Qi Gao, Liqiang Li, Xinfa Wang, Fei Li, Yang Zhou, Guangyi Fan, Renli Zhang, Chentao Yang, Yanwei Qi, Jingkai Ji, Hui Wang, Jianming Li, Jianying Yuan, Wenjie Ouyang, Yong Deng, Hui Jiang, Yingxia Liu, Huanming Yang, Dechun Lin, Jing Yuan
The H7 subtype avian influenza viruses (AIV) have a much longer history and their adaptation through evolution pose continuous threat to humans 1. Since 2013 March, the novel reasserted H7N9 subtype have transmitted to humans through their repeated a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e94be30f179641085d11a10359f31bc
https://doi.org/10.1101/2020.12.30.424890
https://doi.org/10.1101/2020.12.30.424890