Deciphering the cell-state transitions underlying immune adaptation across time is
fundamental for advancing biology. Empirical in vivo genomic technologies that capture …

The application of single-cell molecular profiling coupled with spatial technologies has
enabled charting of cellular heterogeneity in reference tissues and in disease. This new …

Spatially resolved gene expression profiling provides insight into tissue organization and
cell–cell crosstalk; however, sequencing-based spatial transcriptomics (ST) lacks single-cell …

Biomedical single-cell atlases describe disease at the cellular level. However, analysis of
this data commonly focuses on cell-type-centric pairwise cross-condition comparisons …

Instantial variation (IV) refers to variation that is due not to population differences or errors,
but rather to within-subject variation, that is the intrinsic and characteristic patterns of …

Background Computational cell type deconvolution enables the estimation of cell type
abundance from bulk tissues and is important for understanding tissue microenviroment …

The immune system comprises multiple cell lineages and heterogeneous subsets found in
blood and tissues throughout the body. While human immune responses differ between …

Mechanistic models of dynamic, interacting cell populations have yielded many insights into
the growth and resolution of immune responses. Historically these models have described …

Spatially-resolved gene expression profiling provides valuable insight into tissue
organization and cell-cell crosstalk; however, spatial transcriptomics (ST) lacks single-cell …

Single cell genomics is a powerful tool to distinguish altered cell states in disease tissue
samples, through joint analysis with healthy reference datasets. Collections of data from …