Results 151 to 160 of about 636,375 (263)

Overcoming Artificial Structures in Resolution‐Enhanced Hi‐C Data by Signal Decomposition and Multi‐Scale Attention

Advanced Science, EarlyView.
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li, Kelly Yichen Li, Chiara Nicoletti, Stephen Kwok‐Wing Tsui, Pier Lorenzo Puri, Qin Cao, Kevin Y. Yip   +6 more
wiley   +1 more source

Single‐Cell Dissection of Microglial Dysfunction in Diabetes‐Associated Neurodegenerative Vulnerability

Advanced Science, EarlyView.
Using single‐cell transcriptomic and epigenomic profiling, researchers mapped microglial dysfunction across the lifespan of db/db mice. The authors uncovered a nonlinear microglial remodeling featuring early inflammatory priming, a mid‐stage transcriptional inflection, and late dysfunction.
Jizhou Zhang, Tsz Kwan Yau, Joyce Tse, Tsz Ho Li, Dongjie Hu, Yong Juan Zhao, Ting‐Fung Chan   +6 more
wiley   +1 more source

SMCHD1 loss rewires MYOD1 enhancer nexuses and chromatin accessibility landscapes in muscle cells. [PDF]

Sci Adv
Huang Z, Cui W, Klaiss A, Pfeifer GP.
europepmc   +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

On the physics of chromatin molecular complex: from phase-separation to membrane adsorption. [PDF]

Front Mol Biosci
Fontana A, Chiariello AM.
europepmc   +1 more source

PDS5A and TOP2B cooperate for chromatin recruitment via CTCF. [PDF]

Sci Adv
Gonzalez-Buendia E, Ortabozkoyun H, Reinberg D.   +2 more
europepmc   +1 more source

A Rare De Novo Missense Mutation in IFT122 Confers a Genetic Susceptibility Factor of Idiopathic Pediatric Uveitis Via Trio‐based Whole‐Exome Sequencing

Advanced Science, EarlyView.
A rare de novo IFT122‐A773E variant is identified in idiopathic pediatric uveitis and shown to exacerbate retinal inflammation and barrier dysfunction. Mechanistically, the variant enhances IFT43 interaction, elevates calcium signaling, and activates the MEK/ERK/FRA1 axis, revealing a previously unrecognized cilia‐associated pathway that may increase ...
Qian Zhou, Jiaxing Huang, Yilin Wang, Xingran Li, Xianyang Liu, Lingyu Dai, Hongshun Li, Qingfeng Wang, Jiangyi Liu, Guannan Su, Wanyun Zhang, Yang Deng, Qingfeng Cao, Yujie Lai, Xiang Luo, Changwei Huang, Ling Chen, Shengping Hou, Peizeng Yang   +18 more
wiley   +1 more source

Decoding chromatin-associated RNA (caRNA) interaction networks: from genome-wide dynamic capture to epigenetic mechanisms in plants and animals. [PDF]

Epigenetics
Liu C, Li W, Lv Q, Su R.
europepmc   +1 more source

Transcription Factor HOXC11 Drives Colorectal Cancer Progression and Metastasis via CAMK2A‐Dependent CXCL5 Upregulation

Advanced Science, EarlyView.
HOXC11 drives colorectal cancer progression by transcriptionally activating CAMK2A, which triggers NF‐κB–dependent CXCL5 upregulation. CXCL5–CXCR2 signaling further reinforces HOXC11 expression through the ERK1/2–SP1 axis, forming a prometastatic positive feedback loop that is effectively disrupted by combined CAMK2A and CXCR2 inhibition.
Qingyang Sun, Hengjie Xu, Sheng Yang, Jiahui Zhou, Chuanxin Tian, Hongxu Nie, Chi Jin, Tuo Wang, Zhihao Chen, Junwei Tang, Yifei Feng, Xiaowei Wang, Yueming Sun   +12 more
wiley   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source