Profiling cell identity and tissue architecture with single-cell and spatial transcriptomics
Single-cell transcriptomics has broadened our understanding of cellular diversity and gene
expression dynamics in healthy and diseased tissues. Recently, spatial transcriptomics has …
expression dynamics in healthy and diseased tissues. Recently, spatial transcriptomics has …
Spatial transcriptomics: technical aspects of recent developments and their applications in neuroscience and cancer research
Spatial transcriptomics is a newly emerging field that enables high‐throughput investigation
of the spatial localization of transcripts and related analyses in various applications for …
of the spatial localization of transcripts and related analyses in various applications for …
Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope
The rapid emergence of spatial transcriptomics (ST) technologies is revolutionizing our
understanding of tissue spatial architecture and biology. Although current ST methods …
understanding of tissue spatial architecture and biology. Although current ST methods …
High-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq
JK Benotmane, J Kueckelhaus, P Will, J Zhang… - Nature …, 2023 - nature.com
Spatial resolution of the T cell repertoire is essential for deciphering cancer-associated
immune dysfunction. Current spatially resolved transcriptomic technologies are unable to …
immune dysfunction. Current spatially resolved transcriptomic technologies are unable to …
Spatial transcriptomics deconvolution at single-cell resolution using Redeconve
Computational deconvolution with single-cell RNA sequencing data as reference is pivotal
to interpreting spatial transcriptomics data, but the current methods are limited to cell-type …
to interpreting spatial transcriptomics data, but the current methods are limited to cell-type …
Leveraging spatial transcriptomics data to recover cell locations in single-cell RNA-seq with CeLEry
Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cellular
heterogeneity in health and disease. However, the lack of physical relationships among …
heterogeneity in health and disease. However, the lack of physical relationships among …
A prognostic neural epigenetic signature in high-grade glioma
Neural–tumor interactions drive glioma growth as evidenced in preclinical models, but
clinical validation is limited. We present an epigenetically defined neural signature of …
clinical validation is limited. We present an epigenetically defined neural signature of …
STellaris: a web server for accurate spatial mapping of single cells based on spatial transcriptomics data
X Li, C Xiao, J Qi, W Xue, X Xu, Z Mu… - Nucleic acids …, 2023 - academic.oup.com
Single-cell RNA sequencing (scRNA-seq) provides insights into gene expression
heterogeneities in diverse cell types underlying homeostasis, development and pathological …
heterogeneities in diverse cell types underlying homeostasis, development and pathological …
Principled and interpretable alignability testing and integration of single-cell data
Single-cell data integration can provide a comprehensive molecular view of cells, and many
algorithms have been developed to remove unwanted technical or biological variations and …
algorithms have been developed to remove unwanted technical or biological variations and …
Spatial transcriptomics in development and disease
The proper functioning of diverse biological systems depends on the spatial organization of
their cells, a critical factor for biological processes like shaping intricate tissue functions and …
their cells, a critical factor for biological processes like shaping intricate tissue functions and …