No cell lives in a vacuum, and the molecular interactions between cells define most
phenotypes. Transcriptomics provides rich information to infer cell–cell interactions and …

The immune system comprises diverse specialized cell types that cooperate to defend the
host against a wide range of pathogenic threats. Recent advancements in single-cell and …

Mineralocorticoid excess commonly leads to hypertension (HTN) and kidney disease. In our
study, we used single-cell expression and chromatin accessibility tools to characterize the …

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 …

From single-cell RNA-sequencing (scRNA-seq) and spatial transcriptomics (ST), one can
extract high-dimensional gene expression patterns that can be described by intercellular …

The growing availability of single-cell and spatially-resolved transcriptomics has led to the
rapidly growing popularity of methods to infer cell-cell communication. Many approaches …

The field of single-cell genomics is now observing a marked increase in the prevalence of
cohort-level studies that include hundreds of samples and feature complex designs. These …

Cells execute biological functions to support phenotypes such as growth, migration, and
secretion. Complementarily, each function of a cell has resource costs that constrain …

Diabetic kidney disease (DKD) is the most common cause of renal failure. Therapeutics
development is hampered by our incomplete understanding of animal models on a cellular …

The lack of understanding of the cellular and molecular basis of clinical and genetic
heterogeneity in progressive multiple sclerosis (MS) has hindered the search for new …