打卡最近的一篇单细胞空间组学的文章,题目是:Embryo-scale, single-cell spatial transcriptomics,更大的scale和单细胞分辨率的方法:sci-Space。 这篇文章的最后的一个作者是Monocle的作者,human fetal gene …
Single-cell transcriptomicsSpatial transcriptomicsDiffuse large B-cell lymphomaMetabolismGlycolysisBackground: Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous malignancy characterized by varied responses to treatment and prognoses. Understanding the metabolic characteristics driving DLBCL progression is ...
Recent studies have emphasized the importance of single-cell spatial biology, yet available assays for spatial transcriptomics have limited gene recovery or low spatial resolution. Here we introduce CytoSPACE, an optimization method for mapping individua
However, no method currently provides as complete a scope of the transcriptome as does scRNA-seq, underscoring the need for approaches to integrate single-cell and spatial data. Here, we review efforts to integrate scRNA-seq with spatial transcriptomics, including emerging integrative computational ...
Abstract The field of spatial transcriptomics is rapidly expanding, and with it the repertoire of available technologies. However, several of the transcriptome-wide spatial assays do not operate on a single cell level, but rather produce data comprised of contributions from a – potentially heterogeneo...
The development of single-cell technologies yields large datasets of information as diverse and multimodal as transcriptomes, immunophenotypes, and spatial position from tissue sections in the so-called ’spatial transcriptomics’. Currently however, user-friendly, powerful, and free algorithmic tools for...
However, no method currently provides as complete a scope of the transcriptome as does scRNA-seq, underscoring the need for approaches to integrate single-cell and spatial data. Here, we review efforts to integrate scRNA-seq with spatial transcriptomics, including emerging integrative computational ...
Cancer-associated fibroblasts (CAFs) are a heterogeneous cell population that plays a crucial role in remodeling the tumor microenvironment (TME). Here, through the integrated analysis of spatial and single-cell transcriptomics data across six common cancer types, we identified four distinct functional ...
You do not need to segment cells in your histology for mapping on spatial transcriptomics data (including Visium and Slide-seq). You need, however, cell segmentation if you wish to deconvolve the data (ie deterministically assign a single cell profile to each cell within a spatial voxel). I...
Abstract The single-cell transcriptome is the set of messenger RNA (mRNA) molecules expressed in one cell, and it can vary due to external environmental conditions and cellular stage. The transcriptome defines a cell’s function and makes it different from other cells, giving rise to biological ...