Zobrazeno 1 - 10
of 190
pro vyhledávání: '"Wan Du"'
Autor:
Yong Tao, Veronica Lamas, Wan Du, Wenliang Zhu, Yiran Li, Madelynn N. Whittaker, John A. Zuris, David B. Thompson, Arun Prabhu Rameshbabu, Yilai Shu, Xue Gao, Johnny H. Hu, Charles Pei, Wei-Jia Kong, Xuezhong Liu, Hao Wu, Benjamin P. Kleinstiver, David R. Liu, Zheng-Yi Chen
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract Mutations in Atp2b2, an outer hair cell gene, cause dominant hearing loss in humans. Using a mouse model Atp2b2 Obl/+, with a dominant hearing loss mutation (Oblivion), we show that liposome-mediated in vivo delivery of CRISPR-Cas9 ribonucle
Externí odkaz:
https://doaj.org/article/a29936b8a683497cbbd1b953799336a4
Publikováno v:
Journal of Materials Research and Technology, Vol 24, Iss , Pp 4454-4467 (2023)
The physics-informed expression of interatomic potentials is critical to driving accurate molecular dynamics (MD) simulations while most alloy potentials neglect the electrostatic effects explicitly despite the existence of local charge non-neutralit
Externí odkaz:
https://doaj.org/article/ade729ac91614dc08eb4d92557e7141c
Autor:
Danfeng Sun, Weichao Wang, Fangfang Guo, Michael R. Pitter, Wan Du, Shuang Wei, Sara Grove, Linda Vatan, Yingxuan Chen, Ilona Kryczek, Eric R. Fearon, Jing-Yuan Fang, Weiping Zou
Publikováno v:
OncoImmunology, Vol 11, Iss 1 (2022)
Chronic inflammation and oncogenic pathway activation are key-contributing factors in colorectal cancer pathogenesis. However, colorectal intrinsic mechanisms linking these two factors in cancer development are poorly defined. Here, we show that inte
Externí odkaz:
https://doaj.org/article/b15ed1fa7f02475197f41ee424609607
Autor:
Shasha Li, Jiali Yu, Amanda Huber, Ilona Kryczek, Zhuwen Wang, Long Jiang, Xiong Li, Wan Du, Gaopeng Li, Shuang Wei, Linda Vatan, Wojciech Szeliga, Arul M. Chinnaiyan, Michael D. Green, Marcin Cieslik, Weiping Zou
Publikováno v:
Cell Reports, Vol 39, Iss 1, Pp 110609- (2022)
Summary: Tumor-associated macrophages (TAMs) are a major cellular component in the tumor microenvironment (TME). However, the relationship between the phenotype and metabolic pattern of TAMs remains poorly understood. We performed single-cell transcr
Externí odkaz:
https://doaj.org/article/cf19bac1b0044715a74b077d445979ea
Autor:
Wan Du, Ming-Kun Han, Da-Yong Wang, Bing Han, Liang Zong, Lan Lan, Ju Yang, Qi Shen, Lin-Yi Xie, Lan Yu, Jing Guan, Qiu-Ju Wang
Publikováno v:
Chinese Medical Journal, Vol 130, Iss 1, Pp 88-92 (2017)
Background: The molecular genetic research showed the association between X-linked hearing loss and mutations in POU3F4. This research aimed to identify a POU3F4 mutation in a nonsyndromic X-linked recessive hearing loss family. Methods: A series of
Externí odkaz:
https://doaj.org/article/4b05e8b75cba437f9ab42aa3b42811a2
Autor:
Shu-Liang Zhao, Jie Hong, Zuo-Quan Xie, Jie-Ting Tang, Wen-Yu Su, Wan Du, Ying-Xuan Chen, Rong Lu, Dan-Feng Sun, Jing-Yuan Fang
Publikováno v:
PLoS ONE, Vol 6, Iss 8, p e23262 (2011)
The trafficking protein particle complex 4 (TRAPPC4) is implicated in vesicle-mediated transport, but its association with disease has rarely been reported. We explored its potential interaction with ERK2, part of the ERK1/2 complex in the Extracellu
Externí odkaz:
https://doaj.org/article/7e49669becfd4dfbaa6941cf02d4837e
Publikováno v:
ACM Transactions on Sensor Networks. 19:1-22
This paper presents GeoDMA , which processes the GPS data from multiple vehicles to detect anomalous driving maneuvers, such as rapid acceleration, sudden braking, and rapid swerving. First, an unsupervised deep auto-encoder is designed to learn a se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28fcef19663ea08cb9d5ac1487681b0f
https://doi.org/10.1145/3563217
https://doi.org/10.1145/3563217
Publikováno v:
ACM Transactions on Sensor Networks. 19:1-24
Predicting the next application (app) a user will open is essential for improving the user experience, e.g., app pre-loading and app recommendation. Unlike previous solutions that only predict which app the user will open, this article predicts both
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68a1282b3a007088a5747a2c1022bcb9
https://doi.org/10.1145/3582555
https://doi.org/10.1145/3582555
Publikováno v:
SenSys
This paper aims to predict a set of apps a user will open on her mobile device in the next time slot. Such an information is essential for many smartphone operations, e.g., app pre-loading and content pre-caching, to improve user experience. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aef841d267657195e910057b258eca00
https://doi.org/10.1109/tmc.2021.3093619
https://doi.org/10.1109/tmc.2021.3093619
Publikováno v:
Knowledge and Information Systems. 65:1935-1962
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b443d05238ec93815886a6b7b045399
https://doi.org/10.1007/s10115-022-01812-3
https://doi.org/10.1007/s10115-022-01812-3