Results 121 to 130 of about 418,439 (212)

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

Advanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu, Rui Qiao, Ying Li, Junhong Li, Nuoya Yue, Jing Ge, Jiao Wang, Luonan Chen, Peiluan Li   +8 more
wiley   +1 more source

A conditional multi-signal validation framework for cancer immunotherapy: the adaptive anti-error biological system. [PDF]

Front Immunol
Kalondero EM.
europepmc   +1 more source

Phase‐Resolved Defect Transport Mechanisms Governing Asynchronous Ordering in a Eutectic High‐Entropy Alloy

Advanced Science, EarlyView.
Phase‐resolved experiments and atomistic simulations reveal asynchronous ordering behaviors in a eutectic high‐entropy alloy during isothermal annealing. Distinct defect transport mechanisms are identified in coexisting B2 and BCC phases, showing that vacancy and interstitial mediated diffusion governs phase‐dependent thermal stability.
Huiwen Yao, Qingshuang Ma, Jie Xiong, Jing Bai, Huijun Li, Qiuzhi Gao   +5 more
wiley   +1 more source

Causal effect estimation from trans-regulatory single-cell CRISPR screens. [PDF]

Cell Genom
Christensen OP, Markham A, Kang H, Gabriel E, Pers TH.   +4 more
europepmc   +1 more source

CK2α Deficiency Drives Myocardial Fibrosis via Desmin‐Induced Mitochondrial Dysfunction

Advanced Science, EarlyView.
CK2α preserves mitochondrial homeostasis by phosphorylating Desmin to recruit Cryab, ensuring proper filament assembly. CK2α deficiency disrupts this interaction, causing mitochondrial dysfunction, metabolic shifts, bioenergetic failure, and oxidative stress—ultimately establishing a pro‐fibrotic environment that drives cardiac fibrosis.
Canjie Ma, Jiali Jia, Juncong Lan, Jing Wang, Dan Rao, Lanlan Rao, Weibin Zhang, Dongpeng Wu, Jie Zhang, Gang Wang, Baohua Liu, Ying Ao, Zimei Wang   +12 more
wiley   +1 more source

Integrated Ultrasonic Platform for Bioelectronic Control through Biological Barriers Based on Metasurface

Advanced Science, EarlyView.
A metasurface‐enabled ultrasonic platform achieves precise multi‐focal control through biological barriers, real‐time physiology‐driven modulation, and simultaneous wireless power and data transmission. By unifying wavefront engineering, closed‐loop feedback, and acoustic communication, this work establishes key enabling technologies toward scalable ...
Chuanxin Zhang, Hanjie Xiao, Xue Jiang, Dean Ta   +3 more
wiley   +1 more source

Synthetic Expansion of Blood Dielectric Spectra at Microwave Frequencies Using Data-Driven Methods. [PDF]

Sensors (Basel)
Alhummada I, Bialkowski A, Guo L, Villena Gonzales W, Deriche M, Abbosh A.   +5 more
europepmc   +1 more source

G6PC Downregulation Promotes Renal Calcium Oxalate Stone Formation via Lactate‐Induced SNAIL1 K206 Lactylation and Epithelial‐Mesenchymal Transition

Advanced Science, EarlyView.
In renal calcium oxalate stone formation, G6PC downregulation leads to lactate accumulation. This lactate mediates CBP/p300‐dependent lactylation of SNAIL1 at K206, promoting its nuclear translocation. Nuclear SNAIL1 activates the TGF‐β/SMAD3 pathway, driving epithelial‐mesenchymal transition and fibrosis, which ultimately facilitates crystal ...
Kai Liu, Boming Zhang, Ruixin Fan, Chen Duan, Yangjun Zhang, Huahui Wu, Xiangyang Yao, Xiongmin Mao, Bo Li, Youmiao Zeng, Zhenzhen Xu, Yang Wang, Mengcheng Luo, Xinyu Xu, Ninghan Feng, Heng Li, Hua Xu   +16 more
wiley   +1 more source

Beyond traditional survival estimates: conditional survival and individualized prognosis in primary breast lymphoma. [PDF]

Transl Cancer Res
Zhang H, Wu G, Liao C.
europepmc   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source