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RNA sequencing and spatial transcriptomics were combined to benchmark leading platforms, helping researchers compare how accurately each maps gene activity within complex tissues.....
RNA sequencing combined with tissue expansion enabled ultra-high-resolution spatial transcriptomics, allowing researchers to map gene activity within individual cells with...
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...
Spatial biology has transformed the way researchers view tissues, revealing that cells are defined not only by their molecular identities but also by their precise locations and in...
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...
Spatial RNA sequencing maps RNA synthesis and degradation across the mouse brain, revealing how different regions rapidly adjust gene expression in response to stimulation...
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...
Image-based spatial transcriptomics was applied to longitudinal human endomyocardial biopsy samples from 62 adult and pediatric heart transplant recipients during and after histolo...
RNA sequencing benchmark compares long-read bioinformatics tools for single-cell and spatial transcriptomics, helping researchers improve isoform detection and gene...
Atlases like this one can provide the labeled, cell-type-resolved training data that artificial intelligence models need to make accurate predictions—a bottleneck that has historic...
by Shuzhen Ding, Zhou Yu, Jingsi Ming The rapid advancement of spatial transcriptomics has substantially improved our understanding of the spatial architecture and gene expression...
RNA sequencing combined with spatial genotyping mapped where neoantigen-specific T cells interact with tumor cells, revealing organized immune niches that may guide personalized ca...
A new single-cell technology is giving researchers an unusually complete view of how individual cells establish and change their identities. Called OneCell CUT&Tag, the method...
by Jiaxing Bai, Feng Zhou, Chongyang Tan, Yichun Gao, Yushuang He, Xiaobing Huang, Ying Wang The rapid expansion of single-cell RNA sequencing (scRNA-seq) datasets poses analytica...
DeepDETAILS combines artificial intelligence with RNA sequencing and chromatin data to reconstruct cell-specific gene regulation from bulk tissue sequencing experiments...
Tidesurf improves RNA sequencing analysis by accurately quantifying spliced and unspliced transcripts across 3' and 5' protocols for more reliable RNA velocity estimates...
Live-cell RNA sequencing uses engineered virus-like particles to repeatedly sample transcriptomes without destroying cells, enabling researchers to track gene expression changes ov...
Cancer’s genetic chaos may soon be readable in the ordinary stained images pathologists already examine under a microscope. A new study published in Nature Biomedical Engineering i...
RNA sequencing and spatial transcriptomics mapped developing human kidneys, revealing how neighboring-cell signals and IGF2 guide cell fate and sustain nephron progenitor cells...
The team integrated high-resolution spatial transcriptomics, single-cell RNA sequencing, and chromatin-accessibility profiling across nine sequential stages of lung colonization in...
STGBench generates realistic paired DNA and RNA sequencing datasets with known genetic alterations, enabling accurate benchmarking of spatial genomics and transcriptomics analysis....
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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