The natural history of cancers can be understood through the lens of evolution given that the
driving forces of cancer development are mutation and selection of fitter clones. Cancer …

Studies with temporal or spatial resolution are crucial to understand the molecular dynamics
and spatial dependencies underlying a biological process or system. With advances in high …

Spatial transcriptomics technologies are used to profile transcriptomes while preserving
spatial information, which enables high-resolution characterization of transcriptional patterns …

Pancreatic ductal adenocarcinoma (PDAC) is a lethal disease with high resistance to
therapies. Inflammatory and immunomodulatory signals co-exist in the pancreatic tumour …

Abstract Models of intercellular communication in tissues are based on molecular profiles of
dissociated cells, are limited to receptor–ligand signaling and ignore spatial proximity in situ …

To date, single-cell studies of human white adipose tissue (WAT) have been based on small
cohort sizes and no cellular consensus nomenclature exists. Herein, we performed a …

Spatial transcriptomics (ST) technologies are revolutionizing the way to explore the spatial
architecture of tissues. Currently, ST data analysis is often restricted to a single two …

Barrier epithelia depend upon resident stem cells for homeostasis, defense, and repair.
Epithelial stem cells of small and large intestines (ISCs) respond to their local …

Legumes form symbiosis with rhizobium leading to the development of nitrogen-fixing
nodules. By integrating single-nucleus and spatial transcriptomics, we established a cell …

Spatial transcriptomics (ST) technologies detect mRNA expression in single cells/spots
while preserving their two-dimensional (2D) spatial coordinates, allowing researchers to …