If you use cell2location please cite our paper: Kleshchevnikov, V., Shmatko, A., Dann, E. et al. Cell2location maps fine-grained cell types in spatial transcriptomics ...

A new study generated one of the most comprehensive spatially resolved transcriptomic maps of cellular communication between ...

Plant immunity research has undergone a transformative shift with the advent of spatial and single-cell technologies, ...

High-resolution spatial transcriptomics and imaging-based technologies are now generating large-scale, multi-dimensional datasets that are beginning to reshape how we understand tissue organisation, ...

We developed a statistical method for Integrative and Reference-Informed Spatial Domain Detection for Spatial Transcriptomics. IRIS is a reference-informed integrative method for detecting spatial ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

The transition of healthy arteries and cardiac valves into dense, cell-rich, calcified, and fibrotic tissues is driven by a complex interplay of both cellular and molecular mechanisms. Specific cell ...

Technological advances in characterizing molecular heterogeneity at the single cell level have ushered in a deeper understanding of the biological diversity of cells present in tissues including ...

2.1 Single-nucleus transcriptomics identifies Pbx transcription factors in intermediate progenitor cell regulation To investigate transcriptional heterogeneity and regulatory programs in cortical ...