Results 261 to 270 of about 1,073,692 (309)
Microbiome Single Cell Atlases Generated with a Commercial Instrument
Advanced Science, EarlyView.Single cell sequencing is valuable for dissecting complex systems and uncovering unique features in individual cell types. However, tools for single cell microbial analysis are limited. Easily Accessible Single microbe sequencing (EASi‐seq), which adapts a commercially available single cell platform for efficient sequencing of single microbial genomes ...Xiangpeng Li, Linfeng Xu, Benjamin Demaree, Cecilia Noecker, Jordan E. Bisanz, Daniel W. Weisgerber, Cyrus Modavi, Peter J. Turnbaugh, Adam R. Abate +8 morewiley +1 more sourceThe Personal Genome Project Canada: findings from whole genome sequences of the inaugural 56 participants. [PDF]
CMAJ, 2018 Reuter MS, Walker S, Thiruvahindrapuram B, Whitney J, Cohn I, Sondheimer N, Yuen RKC, Trost B, Paton TA, Pereira SL, Herbrick JA, Wintle RF, Merico D, Howe J, MacDonald JR, Lu C, Nalpathamkalam T, Sung WWL, Wang Z, Patel RV, Pellecchia G, Wei J, Strug LJ, Bell S, Kellam B, Mahtani MM, Bassett AS, Bombard Y, Weksberg R, Shuman C, Cohn RD, Stavropoulos DJ, Bowdin S, Hildebrandt MR, Wei W, Romm A, Pasceri P, Ellis J, Ray P, Meyn MS, Monfared N, Hosseini SM, Joseph-George AM, Keeley FW, Cook RA, Fiume M, Lee HC, Marshall CR, Davies J, Hazell A, Buchanan JA, Szego MJ, Scherer SW. +52 moreeuropepmc +1 more sourceMuscle‐Derived Small Extracellular Vesicles Mediate Exercise‐Induced Cognitive Protection in Chronic Cerebral Hypoperfusion
Advanced Science, EarlyView.sEVs have a critical role in orchestrating interorgan crosstalk and mediating exercise‐induced therapeutic effects. Lin et al. demonstrates that sEVs miR‐17/20a‐5p mediates the muscle‐brain crosstalk and emphasizes the central role of mTOR signaling in executing molecular programs that can protect brain health in response to exercise. Abstract
Physical Huawei Lin, Lianhua Yin, Weilin Liu, Rui Li, Tao Jiang, Minguang Yang, Yajun Cao, Sinuo Wang, Yan Yu, Cong Chen, Xiaoqin Guo, Wenju Wang, Huanhuan Liu, Yaling Dai, Jiamin Yan, Yanting Lin, Yanyi Ding, Chendong Ruan, Lei Yang, Tiecheng Wu, Jing Tao, Lidian Chen +21 morewiley +1 more sourceParamecium genome survey: a pilot project
, 2001 Philippe Dessen, Marek Zagulski, Robert Gromadka, Helmut Plattner, Roland Kissmehl, Éric Meyer, Mireille Bétermier, Joachim E. Schultz, Jürgen U. Linder, Ronald E. Pearlman, Ching Kung, Jim Forney, Birgit H. Satir, Judith L. Van Houten, Anne‐Marie Keller, Marine Froissard, Linda Sperling, Jean Cohen +17 moreopenalex +2 more sourcesMETTL14‐Mediated M6A Modification of LINC01094 Induces Glucose Metabolic Reprogramming in Breast Cancer by Recruiting the PKM2/JMJD5 Complex
Advanced Science, EarlyView.METTL14/IGF2BP2‐mediated m6A modification drives LINC01094 upregulation in BC. Then, LINC01094 interacts with PKM2 monomers to promote their dimerization, while serving as a flexible scaffold to facilitate the assembly of the PKM2/JMJD5 complex, synergistically stabilizing PKM2 dimers and enhancing their nuclear translocation.Mengqi Wang, Zhaoxin Gao, Ruinan Zhao, Pan Zhou, Jingxi Chen, Hui Zhang, Yawen Wang, Wenjie Zhu, Peng Gao +8 morewiley +1 more sourcePresbycusis: Pathology, Signal Pathways, and Therapeutic Strategy
Advanced Science, EarlyView.In ARHL, the stria vascularis, acting as a cochlear battery, gradually loses its ability to maintain the endocochlear potential, leading to impaired hair cell function and progressive hearing loss. Single‐cell sequencing reveals age‐related cellular changes in the cochlea, providing insights into the underlying mechanisms of aging and potential ...Xiaoxu Zhao, Tian Shen, Shengda Cao, Ziyi Liu, Wendu Pang, Meixuan Li, Jingjing Liu, Wen Li, Yunhao Wu, Chengcheng Liu, Ming Xia, Xiaolong Fu, Cheng Cheng +12 morewiley +1 more sourceThe epilepsy phenome/genome project. [PDF]
Clin Trials, 2013 EPGP Collaborative, Abou-Khalil B, Alldredge B, Bautista J, Berkovic S, Bluvstein J, Boro A, Cascino G, Consalvo D, Cristofaro S, Crumrine P, Devinsky O, Dlugos D, Epstein M, Fahlstrom R, Fiol M, Fountain N, Fox K, French J, Freyer Karn C, Friedman D, Geller E, Glauser T, Glynn S, Haas K, Haut S, Hayward J, Helmers S, Joshi S, Kanner A, Kirsch H, Knowlton R, Kossoff E, Kuperman R, Kuzniecky R, Lowenstein D, McGuire S, Motika P, Nesbitt G, Novotny E, Ottman R, Paolicchi J, Parent J, Park K, Poduri A, Risch N, Sadleir L, Scheffer I, Shellhaas R, Sherr E, Shih JJ, Shinnar S, Singh R, Sirven J, Smith M, Sullivan J, Thio LL, Venkat A, Vining E, von Allmen G, Weisenberg J, Widdess-Walsh P, Winawer M. +62 moreeuropepmc +1 more sourceDevelopment and Validation of Machine Learning‐Based Marker for Early Detection and Prognosis Stratification of Nonalcoholic Fatty Liver Disease
Advanced Science, EarlyView.This study constructs a stacked multimodal machine learning model for nonalcoholic fattly liver disease (NAFLD) by integrating genetic and clinical features, and synthesize an in‐silico quantitative marker (ISNLD) that enables personalized risk stratification for intrahepatic and extrahepatic outcomes of high‐risk individuals of NAFLD.Lushan Xiao, Lin Zeng, Jiaren Wang, Chang Hong, Ziyong Zhang, Chengkai Wu, Hao Cui, Yan Li, Ruining Li, Shengxing Liang, Qijie Deng, Wenyuan Li, Xuejing Zou, Pengcheng Ma, Li Liu +14 morewiley +1 more source