Understanding kidney disease relies on defining the complexity of cell types and states, their
associated molecular profiles and interactions within tissue neighbourhoods. Here we …

The integration of single cell transcriptome and chromatin accessibility datasets enables a
deeper understanding of cell heterogeneity. We performed single nucleus ATAC (snATAC …

The field of single-cell genomics and spatial technologies is rapidly evolving and has
already provided unprecedented insights into complex tissues. Major advances have been …

Chronic kidney disease affects 10% of the population with notable differences in ethnic and
sex-related susceptibility to kidney injury and disease. Kidney dysfunction leads to …

A revolution in cellular measurement technology is underway. Whereas prior studies have
been able to analyze only the averaged outputs from renal tissue, we now can accurately …

Single-cell sequencing studies have characterized the transcriptomic signature of cell types
within the kidney. However, the spatial distribution of acute kidney injury (AKI) is regional …

Background Single-cell sequencing technologies have advanced our understanding of
kidney biology and disease, but the loss of spatial information in these datasets hinders our …

Kidney Precision Medicine Project (KPMP) is building a spatially specified human kidney
tissue atlas in health and disease with single-cell resolution. Here, we describe the …

Our understanding of kidney disease pathogenesis is limited by an incomplete molecular
characterization of the cell types responsible for the organ's multiple homeostatic functions …

Background Little is known about the roles of myeloid cell subsets in kidney injury and in the
limited ability of the organ to repair itself. Characterizing these cells based only on surface …