图6. 空间转录组测序技术的原理 该论文的通讯作者Joakim Lundeberg也是瑞典Spatial Transcriptomics公司的联合创始人之一,2018年底10X Genomics宣布收购Spatial Transcriptomics,并于2019年发布Visium空间基因表达解决方案(Visium Spatial Gene Expression Solution)
Spatial transcriptomics combines high-plex quantification with the spatial resolution of immunohistochemistry. This technology classifies tissue based on total mRNA within the morphological context of FFPE or frozen tissues. Spatial expression mapping is a powerful tool for examining cellular interactions, tiss...
molecule spatial transcriptomics in intact slices, thereby providing a rich spatial map of a memory engram. The spatial data enabled us to determine that this neuronal subpopulation interacts with adjacent astrocytes, and functional experiments show that neurons require interactions with astrocytes to encod...
空间转录组技术(spatial transcriptomics)则需要利用常规的原位技术和组学技术两方面的优势。 图3. 单细胞测序技术解决了通量和分辨率的问题 现有的空间转录组技术主要分为两类:一类是基于杂交和成像的方法,例如smFISH,Branched FISH;另一类是基于测序的方法,包括TIVA,ISS,FISSEQ等。smFISH,Branched FISH等靶向方法在...
Genomics: Spatial transcriptomicsTranscriptionGene expression profilingRNA sequencingGenomic and transcriptomic resources available for chelicerates.doi:10.1038/nmeth.3985RuskNicoleNature MethodsRusk,N. (2016) Genomics: spatial transcriptomics. Nat. Methods, 13, 710-711....
Michaud M, et al. Early injury landscape in vein harvest by single-cell and spatial transcriptomics. Circ Res 135: 110–134 (2024). doi: 10.1161/CIRCRESAHA.123.323939 立即阅读 Visium和Xenium 双空间平台强强联合 Visium HD分析 高清晰度的全转录组空间发现。
The power of spatial transcriptomics Discover what's possible with spatial transcriptomics, including the additional depth it can add to single cell research projects, through these high-impact publications. Human liver cancer; Visium Spatial Zhang S, et al. Spatial transcriptomics analysis of neoadjuvan...
空间转录组(Spatial Transcriptomics,ST)基于10x Visium平台,是以高空间分辨率解析RNA-seq数据的技术,实现解析单个组织切片中的所有mRNA,从而能够定位和区分功能基因在特定组织区域内的活跃表达信息,对于癌症、免疫、肿瘤免疫相互作用,组织微环境,神经和发育等领域,有着令人期待的应用前景。获取...
探索空间信息单细胞空间转录组学(Spatial Transcriptomics)实战共计7条视频,包括:1、2、3等,UP主更多精彩视频,请关注UP账号。
10X Visium HD平台发布,高精度且配套loupe软件。空间通讯分析要兼顾配受体对与空间邻近性,形成空间模式。目前检测CCC的方法有限,需借助AI模型发现重复模式以提高检测置信度。