Results 81 to 90 of about 12,746,553 (278)

Persistently Increased Expression of PKMzeta and Unbiased Gene Expression Profiles Identify Hippocampal Molecular Traces of a Long‐Term Active Place Avoidance Memory and “Shadow” Proteins

Advanced Science, EarlyView.
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han, Alejandro Grau‐Perales, Rayna M. Harris, Edith Lesburguères, Hsin‐Yi Kao, Asit Pal, Juan Marcos Alarcon, Todd C. Sacktor, Stefano Martiniani, Hans A. Hofmann, André A. Fenton   +10 more
wiley   +1 more source

TrxR2 Lactylation Facilitates Mitochondrial Protection and Endothelial Ferroptosis Resistance in Diabetic Cardiomyopathy

Advanced Science, EarlyView.
TrxR2 deletion in diabetic mice suppresses TUFM‐AMPK‐FUNDC1‐dependent mitophagy in endothelial cells, resulting in SCP2 upregulation and mitochondrial translocation of ACSL4. Mitochondrial ACSL4 promotes mitochondrial eicosanoid biosynthesis and ferroptosis, thereby aggravating cardiac microvascular injury and diabetic cardiomyopathy.
Su Li, Muyin Liu, Chao Chen, Xinyan Li, Xiaopei Yan, Wentao Zhu, Wenyan Qiu, Qiyu Li, Xiangyu Sun, Chao Huang, Ming Yin, Zhangwei Chen, Yao Lu, Junbo Ge, Xiangqing Kong, Juying Qian, Yuqiong Chen   +16 more
wiley   +1 more source

Efficient Semiparametric Regression for Longitudinal Data with Regularized Estimation of Error Covariance Function. [PDF]

J Nonparametr Stat, 2019
Jia S, Zhang C, Wu H.
europepmc   +1 more source

Understanding Fabrication Variability in Core‐Shell Soft Biomaterials Using Stochastic Artificial Intelligence

Advanced Science, EarlyView.
Fabrication‐induced variability remains a fundamental limitation in the scalable design of soft biomaterials. In this work, a stochastic machine learning approach based on Gaussian processes modeling is employed to establish quantitative links between biofabrication parameters, material properties, and their intrinsic variability.
Maria Alexaki, Lília M. S. Dias, Raquel C. Gonçalves, Dinis O. Abranches, Albano N. Carneiro Neto, Rute A. S. Ferreira, Paulo S. B. André, João F. Mano, Mariana B. Oliveira   +8 more
wiley   +1 more source

Nonparametric Causal Inference with Functional Covariates

Journal of Business & Economic Statistics
Functional data and their analysis have become increasingly popular in various fields of data science. This article considers estimation and inference of the average treatment effect under unconfoundedness when the covariates involve a functional variable, and proposes the inverse probability weighting estimator, where the propensity score is estimated
Kurisu, Daisuke, Otsu, Taisuke, Xu, Mengshan   +2 more
openaire   +2 more sources

Cars2‐Mediated Cysteine Catabolism Drives Brown Fat Development and Thermogenesis Through Persulfidating EBF2

Advanced Science, EarlyView.
We demonstrate that Cars2, a cysteine catabolic enzyme in mouse iBAT, is critical for cold tolerance and brown adipocyte differentiation. Through its CPERS activity, Cars2 produces CysSSH/H2S to induce EBF2 persulfidation, promoting its interaction with PPARγ and BRG1 to enhance thermogenic gene expression.
Xin Peng, Hongyong Song, Yin Long, Kaimin Wu, Yinkun Fu, Wenkai Zhou, Wenyan Li, Zhe Shi, Xu‐Yun Zhao   +8 more
wiley   +1 more source

Design and Optimization of Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces Based on Conditional Multi‐Task Deep Learning

Advanced Science, EarlyView.
A conditional multi‐task deep learning framework is developed for designing and optimizing Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces (FHPEMs). This framework achieves joint spectro‐polarimetric learning and unified forward–inverse design.
Chenjie Gong, Haodong Shi, Qi Wang, Yingchao Li, Hongyu Sun, Jiayu Wang, Guanlin Li, Jian Zhang, Qiang Fu, Huilin Jiang   +9 more
wiley   +1 more source

A Rational Optimization Approach for the Development of a Multiplexed Lateral Flow Immunoassay: Detection of Nonepithelial Ovarian Cancer Markers in Human Serum

Advanced Science, EarlyView.
This study outlines the developmental pipeline of a multiplexed nanozyme‐based lateral flow immunoassay for the purpose of ovarian germ cell tumor detection. It demonstrates the application of a design of experiments optimization approach for nanozyme probe conjugate development.
Aida Abdelwahed, Carl E. Eskildsen, Luca Panariello, André Shamsabadi, Christy J. Sadler, Edmund H. Wilkes, Federico Galvanin, Yuxi Cheng, Sara Carvalho, Srdjan Saso, Molly M. Stevens   +10 more
wiley   +1 more source

Deciphering the Evolution Pattern of Structural Variations Overlapped With Repetitive Sequence During Cattle Evolution

Advanced Science, EarlyView.
The authors complement bovine pan‐SV with massive novel structural variations (SVs) identified through long‐read sequencing of 83 globally distributed cattle breeds. Repetitive sequence‐mediated SVs (rep‐SV) exhibit distinct dynamic patterns throughout cattle sub‐speciation and/or domestication processes, including uneven distribution between chr‐X and
Zhifan Guo, Jinxiu Li, Adeniyi C. Adeola, Xueyan Jiang, Juntao Ma, Jian Xiao, Dexiang Hu, Kaixing Qu, Haihong Wu, Junren Chen, Zhanxing He, Tingting Yin, Ali Esmailizadeh, Jing Luo, Olivier Hanotte, Ya‐Ping Zhang, Yan Li   +16 more
wiley   +1 more source

Gaussian likelihood inference on data from trans‐Gaussian random fields with Matérn covariance function

, 2018
Yuan Yan, M. Genton
semanticscholar   +1 more source