Results 151 to 160 of about 6,189,888 (256)

Gm26550 Modulates Learning and Memory by Increasing IGF1 mRNA Expression and Stability in Nrf2−/− Mice

Advanced Science, EarlyView.
The present study shows that Nrf2 directly binds to the Gm26550 promoter, thereby activating Gm26550 transcription and increasing its expression. Mechanistically, Gm26550 promotes IGF1 expression by functionally antagonizing miR‐26a‐5p‐mediated repression and sequestering the RBP KHSRP, thereby enhancing hippocampal neuronal synaptic plasticity and ...
Hongfang Wang, Ziyao Wang, Dongyue Zuo, Zhaowen Su, Bowen Song, Jiamin Gao, Yizhou Zhang, Ruiting Zhao, Linjie Sun, Mengdi Li, Yirui Fan, Dandan Geng, Lei Wang   +12 more
wiley   +1 more source

Multitask Deep Learning Model for Predicting Lymph Node Metastasis and Disease‐Free Survival From Cytology Images in Bladder Cancer: A Multicenter Study With Pan‐Cytology Validation

Advanced Science, EarlyView.
Through self‐supervised pretraining and supervised fine‐tuning on large‐scale cytology image datasets, CytoNet predicts lymph node metastasis and survival. Across independent cohorts, this multitask framework demonstrates robust performance, improves risk stratification beyond radiological assessment, and provides interpretable evidence to support ...
Guibin Hong, Fan Jiang, Ye Xie, Xiaowei Huang, Runnan Shen, Yun Wang, Mengyi Zhu, Haoxuan Wang, Hongkun Yang, Yanxiao Nie, Zhen Lin, Rui Chen, Nengtai Ouyang, Tianxin Lin, Shaoxu Wu   +14 more
wiley   +1 more source

Magnetoelectric Nanoparticles Enable Modulation of Cortical Networks by Low‐Intensity Static Magnetic Fields In Vitro

Advanced Science, EarlyView.
Neuromodulation strategies are increasingly needed to stimulate, restore, or replace altered neuronal activity in disease. Cobalt ferrite‐barium titanate (CFO–BTO) magnetoelectric nanoparticles convert low‐intensity static magnetic fields into local electrical modulation of cortical networks.
Nathalia Cancino‐Fuentes, Alejandro Suarez‐Perez, Elric Zhang, Hao Ye, Marta Bonato, Joana Covelo, Vitaly Pustovalov, Anton Guimera‐Brunet, Xavi Illa, Valentin Gantenbein, Cagatay M. Oral, Marta Parazzini, Salvador Pané, Maria V. Sanchez‐Vives   +13 more
wiley   +1 more source

Systematic Multi‐Level Analyses Decode the Arthritis‐Neurodegeneration Axis With In Vivo Validation

Advanced Science, EarlyView.
Arthritis and neurodegeneration are usually studied as separate disorders, but this study connects them through population evidence, genetic inference, transcriptomic mapping, and mouse models. It highlights RNF40 as a context‐dependent joint‐brain candidate, induced in inflammatory joints yet functionally linked to dopamine‐neuron vulnerability ...
Jinwen Wang, Wenhui Xie, Lei Yang, Zhengrong Wang, Yi Huang, Peng Huang, Yuan Liu, Jun Hu   +7 more
wiley   +1 more source

Functional Sex Reversal in Adult Gonochoristic Teleosts is Mediated by Ovarian Germline Stem Cell Plasticity and Somatic Cell Transdifferentiation

Advanced Science, EarlyView.
Oocytes play crucial roles in maintaining ovarian fate in adult gonochoristic fish. Targeted oocyte ablation with aromatase inhibition triggers the activation of surviving germline stem cells and the transdifferentiation of somatic cells from granoulosa/theca to Sertoli/Leydig lineages, inducing a complete and functional female‐to‐male sex reversal ...
Yang Yang, Liechao Yu, Wanchang Zhang, Gary Wessel, Ruiyi Chen, Weihua Hu, Dongdong Xu   +6 more
wiley   +1 more source

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

Advanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao, Na Zhou, Ruotong Liu, Xiaofei Li, Jian Li, Fuzhong Xue, Qingzhen Hou   +6 more
wiley   +1 more source

Sex-biased gene expression shapes sex differences in gene essentiality

Abstract Sex differences in disease incidence and progression are well documented, yet their underlying molecular mechanisms remain poorly understood. Multiple models suggest that baseline gene expression levels shape the impact of gene disruption, raising the possibility that sex-biased expression itself contributes to sex differences ...
Clarissa Rocca, Alex R. DeCasien
openaire   +1 more source

Evolutionary history of recombination on sex chromosomes and of sex-biased gene expression [PDF]

, 2019
Males and females within a species are often under different selection pressures, which can affect both gene sequence and expression. Sex differences in selection are predicted to precipitate sex chromosome formation, and the rate of recombination on sex
Darolti, Iulia
core  

BraMARS: An Interpretable Histopathology‐Driven Deep Learning Model for Brain Metastasis Risk Stratification in Surgically Resected Limited‐Stage SCLC

Advanced Science, EarlyView.
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang, Taolue Wang, Shilong Liu, Zicheng Zhang, Yibo Zhang, Fan Yang, Bo Yu, Shuaishuai Gao, Yu Chen, Lin Yang, Meng Zhou   +10 more
wiley   +1 more source

The influence of sex on gene expression and protein evolution in Drosophila melanogaster [PDF]

, 2012
A long-standing question in evolutionary biology concerns the molecular causes underlying adaptive evolution. These can either stem from structural changes in proteins or from changes in the expression patterns of proteins or mature RNAs.
Müller, Lena
core