Results 191 to 200 of about 70,807 (316)

A general strategy for generating expert-guided, simplified views of ontologies. [PDF]

Sci Data
Caron AR, Puig-Barbe A, Quardokus EM, Balhoff JP, Belfiore J, Chipampe NJ, Hardi J, Herr BW, Kir H, Roncaglia P, Musen MA, Parkinson H, McLaughlin JA, Börner K, Osumi-Sutherland D.   +14 more
europepmc   +1 more source

ROS Activated NETosis of Bone Marrow CD55+ Intermediate Mature Neutrophils Through HIF1α‐PADI4 Pathway to Initiate Bone Aging

Advanced Science, EarlyView.
In this study, we find CD55+ neutrophils show activated NETosis within bone marrow, induce BMSC senescence and osteogenesis inhibition, finally leading to bone aging initiation. Mechanistically, ROS synergizes with the CD55‐driven HIF1α‐PADI4 pathway to promote NETosis.
Yutong Guo, Shengjie Cui, Xi Wen, Yidi Wang, Ben Wu, Yixiang Wang, Yan Gu   +6 more
wiley   +1 more source

A comparative study of capacitation-mediated changes in whole mouse sperm proteome. [PDF]

Anim Cells Syst (Seoul)
Hwang JY.
europepmc   +1 more source

Gene enrichment analysis (Gene ontology-Biological process) of the 81 identified proteins (Cool LED lighting versus Control).

Alessio Di Luca (3181494), Andrea Ianni (14164778), Francesca Bennato (485395), Camillo Martino (12330023), Michael Henry (517140), Paula Meleady (419259), Giuseppe Martino (6029960)   +6 more
openalex   +1 more source

Biological process gene ontology (GO) Slim of differentially abundant proteins of <i>Edwardsiella ictaluri</i> grown in <i>in vitro</i> iron restriction condition.

, 2015
Pradeep R. Dumpala, Brian C. Peterson, Mark L. Lawrence, Attila Karsi   +3 more
openalex   +2 more sources

BiNGO: a Cytoscape plugin to assess overrepresentation of Gene Ontology categories in Biological Networks [PDF]

, 2005
Steven Maere, K. Heymans, Martin Kuiper
openalex   +1 more source

Ontology-Powered Boosting for Improved Recognition of Ontology Concepts from Biological Literature

, 2023
Pratik Devkota, Somya D. Mohanty, Prashanti Manda   +2 more
openalex   +1 more source

Genome‐Wide by Lifetime Environment Interaction Studies of Brain Imaging Phenotypes

Advanced Science, EarlyView.
This study explores genome‐wide by lifetime environment interactions on brain imaging phenotypes. Gene‐environment interactions explain more phenotypic variance than main effects, pinpoint regulatory variants, and reveal exposure‐specific biological pathways.
Sijia Wang, Meiyun Wang, Peng Zhang, Jingliang Cheng, Longjiang Zhang, Wenzhen Zhu, Shijun Qiu, Zuojun Geng, Guangbin Cui, Yongqiang Yu, Weihua Liao, Xi‐Nian Zuo, Hui Zhang, Bo Gao, Xiaojun Xu, Tong Han, Zhenwei Yao, Quan Zhang, Feng Liu, Qiang Xu, Jiayuan Xu, Jilian Fu, Nana Liu, Yuan Ji, Jie Tang, Lining Guo, Mengge Liu, Xiaoxiao Xiao, Xiaoxuan Liu, Wei Li, Caihong Wang, Wei Wei, Dapeng Shi, Su Lui, Zhihan Yan, Feng Chen, Jing Zhang, Wen Shen, Yanwei Miao, Dawei Wang, Jia‐Hong Gao, Yunjun Yang, Kai Xu, Junfang Xian, Bing Zhang, Xiaochu Zhang, Zhaoxiang Ye, Le Yu, Wen Qin, Meng Liang, Chunshui Yu, the CHIMGEN Consortium   +51 more
wiley   +1 more source

Endocrine Disruption in Freshwater Cladocerans: Transcriptomic Network Perspectives on TBOEP and PFECHS Impacts in <i>Daphnia magna</i>. [PDF]

Int J Mol Sci
Kim HW, Yun SG, Park JY, Lee J, Han JP, Shin DY, Lee JH, Cho EM, Seo YR.   +8 more
europepmc   +1 more source

Ontology Alignment using Biologically-inspired Optimisation Algorithms

, 2012
Jürgen Bock
openalex   +2 more sources