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by Nagomi Kurogi, Koki Shimbara, Tatsuya Koreeda, Koki Tsuyuzaki Spatial transcriptomics (ST) enables genome-wide gene expression profiling while retaining spatial context within...
by Dee Velazquez, Caleb Hallinan, Roujin An, Kalen Clifton, Jean Fan Imaging-based spatially resolved transcriptomics (imSRT) technologies provide high-throughput molecular-resolu...
A new spatial transcriptomics framework compares tumor “floor plans." In a study of 262 solid tumors, the team identified recurring spatial groups that may connect spatial structur...
RNA sequencing combined with Cell2space reconstructs spatial domains and cell neighborhoods, helping researchers recover tissue organization lost during single-cell sample preparat...
RNA sequencing references combined with CellART help identify individual cells and cell types within high-resolution spatial transcriptomics data across multiple...
by Jia Song, Qunhua Li Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues, enabling detailed characterization of tissue organiza...
SPIDER uses single-cell RNA sequencing references to reduce noise in spatial transcriptomics, improving gene expression patterns, tissue structure identification...
by Zi Huai Huang, Ziyang Xu, Pingzhao Hu Spatial transcriptomics (ST) enhances single-cell RNA sequencing by revealing transcript distribution, offering critical insights into het...
HeartBeat.bio and Cubase Bio are combining cardiac organoids with 3D spatial transcriptomics and RNA sequencing to study...
ResolVI improves spatial RNA sequencing analysis by correcting RNA assignment errors and technical variation, helping researchers distinguish cell states and detect subtle gene exp...
ARCADIA integrates single-cell RNA sequencing with spatial proteomics to reveal how tissue neighborhoods influence B-cell maturation, T-cell activation, and other transcriptional p...
Spatial RNA sequencing maps RNA synthesis and degradation across the mouse brain, revealing how different regions rapidly adjust gene expression in response to stimulation...
by Jinxia Wang, Yuying Huo, Rui Zhao, Yan Pan, Jianqiang Wu, Han Wang, Xiangyu Li Recent advances in spatial multi-omics technologies have opened new avenues for characterizing ti...
by Samuel Gunz, Helena L. Crowell, Mark D. Robinson Spatial omics technologies enable high-resolution, large-scale quantification of molecular features while preserving the spatia...
Scientists have unveiled a new computational framework that brings together two of the most powerful technologies in modern biology—single-cell RNA sequencing and spatial transcrip...
by Xiong Li, Dongding Wu, Yuejin Zhang, Min Chen, Chong Liu Cell-cell communication is essential for tissue homeostasis and disease-associated microenvironment remodeling. Spatial...
RNA Variant Imaging is attracting attention because it addresses a persistent blind spot in cancer diagnostics: many clinically relevant RNA isoforms, splice events, and fusion tra...
RNA sequencing data provide a real-world framework for comparing differential transcript usage methods across bulk, single-cell, spatial, long-read, and short-read transcriptomics....
RNA sequencing combined with new AI models helps researchers analyze cellular relationships and biological patterns across scales, improving interpretation of complex single-cell a...
by Tianyu Wu, Marie-Christin Spindler, Abner T. Apsley, Emmy Earnest, Zane R. Thornburg, Julia Mahamid, Zaida Luthey-Schulten Eukaryotic cells are spatially organized into functio...
by Jiayu Zhang, Yiran Tao, Yun Zhao, Miaomiao Lei, Yucheng Shen, Qicong Li, Chenxu Liu, Jiuyuan Bai Visualizing the spatiotemporal dynamics of native RNA molecules with single-tra...
Live-cell RNA sequencing uses engineered virus-like particles to repeatedly sample transcriptomes without destroying cells, enabling researchers to track gene expression changes ov...
by Amanda A. G. Ferreira, Sergio Córdoba, Raghuvanshi Rajesh, Ben Jiwon Choi, Claude Desplan Glial cells are essential for proper nervous system development and function. To under...
by Xiang Chen, Zihan Yang, Xiaoyu Liu, Zhiyi Xie, Wenlu Guo Paired single-cell multi-omics technologies provide direct within-cell correspondence across molecular layers and offer...
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