Best practices for single-cell analysis across modalities
Recent advances in single-cell technologies have enabled high-throughput molecular
profiling of cells across modalities and locations. Single-cell transcriptomics data can now …
profiling of cells across modalities and locations. Single-cell transcriptomics data can now …
Spatial components of molecular tissue biology
Methods for profiling RNA and protein expression in a spatially resolved manner are rapidly
evolving, making it possible to comprehensively characterize cells and tissues in health and …
evolving, making it possible to comprehensively characterize cells and tissues in health and …
Museum of spatial transcriptomics
The function of many biological systems, such as embryos, liver lobules, intestinal villi, and
tumors, depends on the spatial organization of their cells. In the past decade, high …
tumors, depends on the spatial organization of their cells. In the past decade, high …
Spatial omics and multiplexed imaging to explore cancer biology
Understanding intratumoral heterogeneity—the molecular variation among cells within a
tumor—promises to address outstanding questions in cancer biology and improve the …
tumor—promises to address outstanding questions in cancer biology and improve the …
Squidpy: a scalable framework for spatial omics analysis
Spatial omics data are advancing the study of tissue organization and cellular
communication at an unprecedented scale. Flexible tools are required to store, integrate and …
communication at an unprecedented scale. Flexible tools are required to store, integrate and …
Advances in spatial transcriptomic data analysis
Spatial transcriptomics is a rapidly growing field that promises to comprehensively
characterize tissue organization and architecture at the single-cell or subcellular resolution …
characterize tissue organization and architecture at the single-cell or subcellular resolution …
SpatialData: an open and universal data framework for spatial omics
Spatially resolved omics technologies are transforming our understanding of biological
tissues. However, the handling of uni-and multimodal spatial omics datasets remains a …
tissues. However, the handling of uni-and multimodal spatial omics datasets remains a …
An end-to-end workflow for multiplexed image processing and analysis
Multiplexed imaging enables the simultaneous spatial profiling of dozens of biological
molecules in tissues at single-cell resolution. Extracting biologically relevant information …
molecules in tissues at single-cell resolution. Extracting biologically relevant information …
Differentiation of IL-26+ TH17 intermediates into IL-17A producers via epithelial crosstalk in psoriasis
A Fries, F Saidoune, F Kuonen, I Dupanloup… - Nature …, 2023 - nature.com
Abstract Interleukin (IL)-26 is a TH17 cytokine with known antimicrobial and pro-
inflammatory functions. However, the precise role of IL-26 in the context of pathogenic TH17 …
inflammatory functions. However, the precise role of IL-26 in the context of pathogenic TH17 …
Spatial analysis with SPIAT and spaSim to characterize and simulate tissue microenvironments
Y Feng, T Yang, J Zhu, M Li, M Doyle… - Nature …, 2023 - nature.com
Spatial proteomics technologies have revealed an underappreciated link between the
location of cells in tissue microenvironments and the underlying biology and clinical …
location of cells in tissue microenvironments and the underlying biology and clinical …