Results 171 to 180 of about 64,018 (290)

Integrating Spatial Proteogenomics in Cancer Research

Advanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang, Yang Wu, Feng Zhang, Parthiban Periasamy, Haiyue You, Denise Goh, Rachel Elizabeth Ann Fincham, Xin Ning, Danping Wu, Lu Liu, Ying Jiang, Zhiwen Qian, Joe Yeong, Yan Zhang   +13 more
wiley   +1 more source

Self-supervised pretraining with NuSPIRe unlocks nuclear morphology-driven insights in spatial omics. [PDF]

Genome Biol
Hua Y, Li S, Zhang Y.
europepmc   +1 more source

A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

Advanced Science, EarlyView.
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu, Weize Xu, Da Lin, Leqiang Sun, Jinxia Dai, Gang Cao   +5 more
wiley   +1 more source

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

Advanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao, Gaiqin Liu, Jingyi Xia, Runle Chen, Tong Wang, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui   +11 more
wiley   +1 more source

From Histology to High-Resolution Mapping: The Rise of Spatial Omics in Immunology. [PDF]

Eur J Immunol
De Giovanni M, Inverso D, Iannacone M.
europepmc   +1 more source

3D integrated spatial OMICS data

Spatial OMICS data sets integrated in 3D models of whole developmental ...
openaire   +1 more source

Dysregulation of the PATZ1/CTCF Balance Silences ZBTB20 to Drive Melanoma Progression

Advanced Science, EarlyView.
This study uncovers a new oncogenic mechanism in melanoma. The transcription factor PATZ1 competes with the architectural protein CTCF for DNA binding, thereby disrupting a specific chromatin loop and silencing the tumor suppressor ZBTB20. This event unleashes the pro‐tumorigenic PMEPA1‐p38‐STAT1 signaling axis, promoting cancer progression.
Chaowei Deng, Shuang Cai, Chen Guo, Shaker Khan, Lefan Liu, Qiong Tian, Zhiyuan Ma, Jian Zhang, Lingyu Zhao   +8 more
wiley   +1 more source

InSituPy: a framework for histology-guided, multi-sample analysis of single-cell spatial omics data. [PDF]

Bioinformatics
Wirth J, Chernysheva A, Lemke B, Giray I, Steiger K.   +4 more
europepmc   +1 more source

Multi‐Scale Mapping of Gene Expression from Whole‐slide Images for Identifying Phenotype‐Associated Subpopulations

Advanced Science, EarlyView.
BiSCALE: A pathology‐driven deep learning framework for multi‐scale gene expression prediction from whole‐slide images. It accurately infers bulk and near‐cellular spot‐level expression, links predictions to clinical phenotypes, identifies disease‐associated niches, and enables applications in risk stratification and cell‐identity annotation, providing
Hailong Zheng, Jiajing Xie, Luqi Wang, Hailong Xie, Tong Zhi, Yujia Guo, Bofeng Zhu, Dong Wang, Yu Chen   +8 more
wiley   +1 more source

Advances in the pathophysiological study of brain development: application of cerebral organoid combined with Spatial omics technology. [PDF]

Stem Cell Res Ther
Wang J, Sun Z, Zhou Y, Wang L, Liu J.
europepmc   +1 more source