Results 181 to 190 of about 1,007,015 (362)

Integrating Spatial and Single‐Nucleus Transcriptomic Data to Assess the Effects of Intrauterine Hyperglycemia on Fetal Pancreatic Development

Advanced Science, EarlyView.
Maternal pregestational diabetes mellitus (PGDM) induced metabolic stress in fetal mice pancreas, alongside significantly decreased insulin secretion, altered cell‐cell communication, and distinct changes in cellular niches. Abstract Maternal pregestational diabetes mellitus (PGDM) can lead to adverse fetal outcomes, including lasting impacts on ...
Yu Deng, Shuting Wan, Zan Yuan, Huixia Yang   +3 more
wiley   +1 more source

Age-related alterations in default mode network: Impact on working memory performance [PDF]

, 2008
Fabio Sambataro, Vishnu P. Murty, Joseph H. Callicott, Hao Yang Tan, Saumitra Das, Daniel R. Weinberger, Venkata S. Mattay   +6 more
openalex   +1 more source

DNA‐PKcs‐Driven YAP1 Phosphorylation and Nuclear Translocation: a Key Regulator of Ferroptosis in Hyperglycemia‐Induced Cardiac Dysfunction in Type 1 Diabetes

Advanced Science, EarlyView.
In the context of chronic hyperglycemia, a DDR is initiated, leading to the pathological activation of DNA‐PKcs in the diabetic heart. This activated DNA‐PKcs directly interacts with and phosphorylates YAP1 at Thr226, thereby increasing the nuclear expression of YAP1.
Junyan Wang, Xing Chang, Chun Li, Jing Gao, Zhijiang Guo, Haowen Zhuang, Lingjun Wang, Yusheng Huang, Wei Wang, Chao Li, Qingyong He   +10 more
wiley   +1 more source

Graph-based vulnerability assessment of resting-state functional brain networks in full-term neonates [PDF]

arXiv
Network disruption during early brain development can result in long-term cognitive impairments. In this study, we investigated rich-club organization in resting-state functional brain networks in full-term neonates using a multiscale connectivity analysis.
arxiv  

Non-existence of Markovian time dynamics for graphical models of correlated default [PDF]

arXiv, 2010
Filiz et al. (2008) proposed a model for the pattern of defaults seen among a group of firms at the end of a given time period. The ingredients in the model are a graph, where the vertices correspond to the firms and the edges describe the network of interdependencies between the firms, a parameter for each vertex that captures the individual ...
arxiv  

Brain network dynamics in schizophrenia: Reduced dynamism of the default mode network

Human Brain Mapping, 2019
Complex human behavior emerges from dynamic patterns of neural activity that transiently synchronize between distributed brain networks. This study aims to model the dynamics of neural activity in individuals with schizophrenia and to investigate whether
A. Kottaram, L. Johnston, L. Cocchi, Eleni P. Ganella, I. Everall, C. Pantelis, R. Kotagiri, A. Zalesky   +7 more
semanticscholar   +1 more source

KDM6A Deficiency Induces Myeloid Bias and Promotes CMML‐Like Disease Through JAK/STAT3 Activation by Repressing SOCS3

Advanced Science, EarlyView.
Lysine demethylase 6A (KDM6A), an epigenetic regulator expressed in hematopoietic stem and progenitor cells (HSPCs), plays a critical role in hematopoietic homeostasis. Deficiency of KDM6A induces myeloid lineage skewing and drives the development of a chronic myelomonocytic leukemia (CMML)‐like disease.
Huiqiao Chen, Shufen Wang, Ruoyu Dong, Pinghui Yu, Tianyu Li, Liangning Hu, Mowang Wang, Zijun Qian, Hongyu Zhou, Xiaoyan Yue, Limengmeng Wang, Haowen Xiao   +11 more
wiley   +1 more source

White Matter Hyperintensity Load Modulates Brain Morphometry and Brain Connectivity in Healthy Adults: A Neuroplastic Mechanism?

Neural Plasticity, 2017
White matter hyperintensities (WMHs) are acquired lesions that accumulate and disrupt neuron-to-neuron connectivity. We tested the associations between WMH load and (1) regional grey matter volumes and (2) functional connectivity of resting-state ...
Matteo De Marco, Riccardo Manca, Micaela Mitolo, Annalena Venneri   +3 more
doaj   +1 more source

Resting in peace or noise: Scanner background noise suppresses default‐mode network [PDF]

, 2008
Nadine Gaab, John D. E. Gabrieli, Gary H. Glover   +2 more
openalex   +1 more source

Exploring the Latent Information in Spatial Transcriptomics Data via Multi‐View Graph Convolutional Network Based on Implicit Contrastive Learning

Advanced Science, EarlyView.
STMIGCL is an implicit contrastive learning‐based multi‐view graph convolutional network framework designed for downstream tasks such as spatial domain recognition, trajectory inference, and spatially variable gene identification. By combining multi‐view learning with contrastive learning and employing contrastive learning methods that enhance contrast
Sheng Ren, Xingyu Liao, Farong Liu, Jie Li, Xin Gao, Bin Yu   +5 more
wiley   +1 more source