[HTML][HTML] Encoding method of single-cell spatial transcriptomics sequencing
Y Zhou, E Jia, M Pan, X Zhao, Q Ge - International journal of …, 2020 - ncbi.nlm.nih.gov
Despite significant advances in parallel single-cell RNA sequencing revealing astonishing
cellular heterogeneity in many tissue types, the spatial information in the tissue context …
cellular heterogeneity in many tissue types, the spatial information in the tissue context …
Principles of spatial transcriptomics analysis: a practical walk-through in kidney tissue
Spatial transcriptomic technologies capture genome-wide readouts across biological tissue
space. Moreover, recent advances in this technology, including Slide-seqV2, have achieved …
space. Moreover, recent advances in this technology, including Slide-seqV2, have achieved …
Characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomic data with nonuniform cellular densities
BF Miller, D Bambah-Mukku, C Dulac… - Genome …, 2021 - genome.cshlp.org
Recent technological advances have enabled spatially resolved measurements of
expression profiles for hundreds to thousands of genes in fixed tissues at single-cell …
expression profiles for hundreds to thousands of genes in fixed tissues at single-cell …
Cell composition inference and identification of layer-specific spatial transcriptional profiles with POLARIS
Spatial transcriptomics (ST) technology, providing spatially resolved transcriptional profiles,
facilitates advanced understanding of key biological processes related to health and …
facilitates advanced understanding of key biological processes related to health and …
Bento: a toolkit for subcellular analysis of spatial transcriptomics data
The spatial organization of molecules in a cell is essential for their functions. While current
methods focus on discerning tissue architecture, cell–cell interactions, and spatial …
methods focus on discerning tissue architecture, cell–cell interactions, and spatial …
Spatial-ATAC-seq: spatially resolved chromatin accessibility profiling of tissues at genome scale and cellular level
Cellular function in tissue is dependent upon the local environment, requiring new methods
for spatial mapping of biomolecules and cells in the tissue context. The emergence of spatial …
for spatial mapping of biomolecules and cells in the tissue context. The emergence of spatial …
WebAtlas pipeline for integrated single cell and spatial transcriptomic data
Single cell and spatial transcriptomics illuminate complementary features of tissues.
However, online dissemination and exploration of integrated datasets is challenging due to …
However, online dissemination and exploration of integrated datasets is challenging due to …
Robust decomposition of cell type mixtures in spatial transcriptomics
A limitation of spatial transcriptomics technologies is that individual measurements may
contain contributions from multiple cells, hindering the discovery of cell-type-specific spatial …
contain contributions from multiple cells, hindering the discovery of cell-type-specific spatial …
scmap-A tool for unsupervised projection of single cell RNA-seq data
Single-cell RNA-seq (scRNA-seq) is widely used to investigate the composition of complex
tissues–since the technology allows researchers to define cell-types using unsupervised …
tissues–since the technology allows researchers to define cell-types using unsupervised …
ScRNA-seq and ST-seq in liver research
J He, C Deng, L Krall, Z Shan - Cell Regeneration, 2023 - Springer
Spatial transcriptomics, which combine gene expression data with spatial information, has
quickly expanded in recent years. With application of this method in liver research, our …
quickly expanded in recent years. With application of this method in liver research, our …