Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Elise Shen"'
Autor:
Judith Mizrachi, Partha P. Mitra, Arun Narasimhan, Philip R. Nicovich, Sarojini M. Attili, Hideki Kondo, Pavel Osten, Muye Zhu, Brian Zingg, Anthony M. Zador, Stephan Fischer, William Galbavy, Uree Chon, Liya Ding, Stephanie Mok, Kwanghun Chung, Florence D’Orazi, Xu An, Shenqin Yao, Philip Lesnar, Wayne Wakemen, James C. Gee, Darrick Lo, Kathleen Kelly, Ian Bowman, Lydia Ng, Peng Xie, Quanxin Wang, Karla E. Hirokawa, X. William Yang, Julie A. Harris, Xiuli Kuang, Huizhong W. Tao, Samik Bannerjee, Elise Shen, Xu Li, Z. Josh Huang, Ali Cetin, Young Gyun Park, Lijuan Liu, Corey Elowsky, Xiangning Li, Lin Gou, Hong-Wei Dong, Laura Korobkova, Joshua T. Hatfield, Junxiang Jason Huang, Hui Gong, Yun Wang, Houri Hintiryan, Nicholas N. Foster, Peter A. Groblewski, Michael S. Bienkowski, Diek W. Wheeler, Xiaoyin Chen, Yu-Chi Sun, Anastasiia Bludova, Maitham Naeemi, Rodrigo Muñoz-Castañeda, Joel D. Hahn, Jing Yuan, Hanchuan Peng, Katherine Matho, Jason Palmer, Huiqing Zhan, Yimin Wang, Hongkui Zeng, Michael Hawrylycz, Chris Sin Park, Li I. Zhang, Rhonda Drewes, Ramesh Palaniswamy, Bing-Xing Huo, Anan Li, Yongsoo Kim, Jesse Gillis, Byung Kook Lim, Lei Gao, Giorgio A. Ascoli, Xiaoli Qi, Meng Kuan Lin, Yaoyao Li, Qingming Luo
Publikováno v:
Nature
An essential step toward understanding brain function is to establish a structural framework with cellular resolution on which multi-scale datasets spanning molecules, cells, circuits and systems can be integrated and interpreted1. Here, as part of t
Autor:
Jennifer D. Whitesell, Stephen McConoughey, Yaoyao Li, Yun Wang, Xiuli Kuang, Alex M. Henry, Ali Williford, Quanxin Wang, Amy Bernard, Karla E. Hirokawa, Stefan Mihalas, Robert Howard, Anh Ho, Wayne Wakeman, Maitham Naeemi, David Feng, Peter A. Groblewski, Seung Wook Oh, Leonard Kuan, Nile Graddis, Joseph E. Knox, Benjamin Ouellette, Andrew Cho, Jérôme Lecoq, Hongkui Zeng, Christof Koch, Jennifer Luviano, Hannah Choi, Marty Mortrud, Charles R. Gerfen, Julie A. Harris, Allan R. Jones, Phillip Bohn, Phil Lesnar, Linzy Casal, Shiella Caldejon, Staci A. Sorensen, Lydia Ng, John W. Phillips, Aaron Feiner, Nathalie Gaudreault, Elise Shen
Publikováno v:
Nature
The mammalian cortex is a laminar structure containing many areas and cell types that are densely interconnected in complex ways, and for which generalizable principles of organization remain mostly unknown. Here we describe a major expansion of the
Autor:
Susan M. Sunkin, Zizhen Yao, Qi Li, Tanya L. Daigle, Yun Wang, Michael Hawrylycz, Jia Yuan, Donghuan Lu, Bosiljka Tasic, Lulu Yin, Yuanyuan Song, Z. Josh Huang, Karla E. Hirokawa, Zheng Yefeng, Matthew B. Veldman, Lei Huang, Luke Esposito, Feng Xiong, Shaoqun Zeng, An Liu, Liya Ding, Guodong Hong, Jintao Pan, Yaoyao Li, Wei Xiong, Qiang Ouyang, Yang Yu, Thuc Nghi Nguyen, Qingming Luo, Yimin Wang, Xiangning Li, Mengya Chen, Tao Wang, Zhangcan Ding, Lei Qu, Lydia Ng, Min Ye, Hsien-Chi Kuo, Peng Xie, Yuanyuan Li, Rachael Larsen, Zhixi Yun, Chris Hill, Julie A. Harris, Peng Wang, Longfei Li, Elise Shen, Lijuan Liu, Wan Wan, Sujun Zhao, Hui Gong, Zhongze Gu, Zongcai Ruan, Jing Yuan, Christof Koch, Xiangdong Yang, Wenjie Xu, Hongkui Zeng, Aaron Feiner, Stephanie Mok, Yanjun Duan, Shichen Zhang, Chao Chen, Yaping Wang, Wayne Wakeman, Phil Lesnar, Sara Kebede, Ping He, Staci A. Sorensen, Zijun Zhao, Anan Li, Hanchuan Peng, Xiuli Kuang, Shengdian Jiang, Zhi Zhou, Quanxin Wang, Wei Xie
Ever since the seminal findings of Ramon y Cajal, dendritic and axonal morphology has been recognized as a defining feature of neuronal types. Yet our knowledge concerning the diversity of neuronal morphologies, in particular distal axonal projection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c8bc31d1722b04161041575c882b314
https://doi.org/10.21203/rs.3.rs-84255/v1
https://doi.org/10.21203/rs.3.rs-84255/v1
Autor:
Xu An, Xiangning Li, Corey Elowsky, Laura Korobkova, Lei Gao, Giorgio A. Ascoli, Judith Mizrachi, William Galbavy, Jesse Gillis, Byung Kook Lim, Hanchuan Peng, Katherine Matho, Jason Palmer, Liya Ding, Uree Chon, Michael Hawrylycz, Florence D’Orazi, Kathleen Kelly, James C. Gee, Anastasiia Bludova, Peter A. Groblewski, Xu Li, Z. Josh Huang, Wayne Wakemen, Yun Wang, Stephanie Mok, Xiuli Kuang, X. William Yang, Houri Hintiryan, Michael S. Bienkowski, Karla E. Hirokawa, Lydia Ng, Peng Xie, Diek W. Wheeler, Xiaoyin Chen, Jin Yuan, Julie A. Harris, Yaoyao Li, Ramesh Palaniswamy, Yongsoo Kim, Li I. Zhang, Qingming Luo, Darrick Lo, Samik Bannerjee, Huizhong Tao, Ian Bowman, Meng Kuan Lin, Yu-Chi Sun, Quanxin Wang, Elise Shen, Lijuan Liu, Joel D. Hahn, Joshua T. Hatfield, Anan Li, Maitham Naeemi, Hui Gong, Xiaoli Qi, Partha P. Mitra, Hideki Kondo, Philip R. Nicovich, Pavel Osten, Hongkui Zeng, Muye Zhu, Sarojini M. Attili, Brian Zingg, Anthony M. Zador, Stephan Fischer, Bing-Xing Huo, Shenqin Yao, Nicholas N. Foster, Philip Lesnar, Rodrigo Muñoz-Castañeda, Ali Cetin, Young Gyun Park, Arun Narasimhan, Kwanghun Chuang, Lin Gou, Hong-Wei Dong, Yimin Wang, Chris Sin Park, Rhonda Drewes, Jason Huang
An essential step toward understanding brain function is to establish a cellular-resolution structural framework upon which multi-scale and multi-modal information spanning molecules, cells, circuits and systems can be integrated and interpreted. Her
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f63495cf24bbabde156a9b0d8001649a
https://doi.org/10.1101/2020.10.02.323154
https://doi.org/10.1101/2020.10.02.323154
Autor:
Anan Li, Elise Shen, Lijuan Liu, Wan Wan, Hui Gong, Yanjun Duan, Rachel A. Dalley, Sujun Zhao, Luke Esposito, Zhixi Yun, Shaoqun Zeng, An Liu, Susan M. Sunkin, Zhi Zhou, Tanya L. Daigle, Jintao Pan, Liya Ding, Yaoyao Li, Chris Hill, Yimin Wang, Yefeng Zheng, Qingming Luo, Phil Lesnar, Karla E. Hirokawa, Zijun Zhao, Christof Koch, Qi Li, Ping He, Donghuan Lu, Staci A. Sorensen, Longfei Li, Zhongze Gu, Xiangning Li, Zhangcan Ding, Lei Qu, Jia Yuan, Hsien-Chi Kuo, Aaron Feiner, Stephanie Mok, Julie A. Harris, Jing Yuan, Yang Yu, Qiang Ouyang, Z. Josh Huang, X. William Yang, Guodong Hong, Thuc Nghi Nguyen, Rachael Larsen, Michael Hawrylycz, Wenjie Xu, Peng Wang, Chao Chen, Wei Xiong, Hongkui Zeng, Mengya Chen, Zongcai Ruan, Feng Xiong, Shichen Zhang, Lydia Ng, Min Ye, Wayne Wakeman, Peng Xie, Yaping Wang, Quanxin Wang, Yun Wang, Sara Kebede, Bosiljka Tasic, Lulu Yin, Yuanyuan Song, Tao Wang, Lei Huang, Wei Xie, Zizhen Yao, Matthew B. Veldman, Yuanyuan Li, Xiuli Kuang, Shengdian Jiang, Hanchuan Peng
Publikováno v:
Nature
Dendritic and axonal morphology reflects the input and output of neurons and is a defining feature of neuronal types1,2, yet our knowledge of its diversity remains limited. Here, to systematically examine complete single-neuron morphologies on a brai
Autor:
Z. Josh Huang, Matthew B. Veldman, Yang Yu, Sara Kebede, Philip Lesnar, Thuc Nghi Nguyen, Anan Li, Zhi Zhou, Chris Hill, Susan M. Sunkin, Hanchuan Peng, Shaoqun Zeng, Yaoyao Li, Qingming Luo, Li Xiangning, Lei Qu, Karla E. Hirokawa, Elise Shen, Lijuan Liu, Yimin Wang, X. William Yang, Michael Hawrylycz, Lydia Ng, Hui Gong, Peng Xie, Sujun Zhao, Xiuli Kuang, Tanya L. Daigle, Aaron Feiner, Zizhen Yao, Christof Koch, Shengdian Jiang, Stephanie Mok, Jing Yuan, Hongkui Zeng, Lulu Ying, Rachael Larsen, Staci A. Sorensen, Julie A. Harris, Luke Esposito, Yun Wang, Bosiljka Tasic, Yuanyuan Song, Quanxin Wang, Wayne Wakeman
Publikováno v:
SSRN Electronic Journal.
Dendritic and axonal morphology is a defining feature of neuronal types and their connectivity. Yet our knowledge concerning the diversity of neuronal morphology is extremely limited. To systematically obtain single neuron full morphology on a brain-
Publikováno v:
Journal of Neurophysiology. 111:208-216
Synapses are continuously formed and eliminated throughout life in the mammalian brain, and emerging evidence suggests that this structural plasticity underlies experience-dependent changes of brain functions such as learning and long-term memory for
Autor:
Patrick R. Hof, Thomas M. Hyde, Elise Shen, Chihchau L. Kuan, Joel E. Kleinman, Michael Hawrylycz, Rachel A. Dalley, Angela L. Guillozet-Bongaarts, Beryl Swanson, Hongkui Zeng, Joshua J. Royall, John G. Hohmann, Alex M. Henry, Allan R. Jones
Publikováno v:
Molecular Psychiatry
The underlying pathology of schizophrenia (SZ) is likely as heterogeneous as its symptomatology. A variety of cortical and subcortical regions, including the prefrontal cortex, have been implicated in its pathology, and a number of genes have been id