Recent advances in single-cell technologies have enabled high-throughput molecular
profiling of cells across modalities and locations. Single-cell transcriptomics data can now …

The completion of the Human Genome Project has provided a foundational blueprint for
understanding human life. Nonetheless, understanding the intricate mechanisms through …

Single-cell transcriptomics provides researchers with a powerful tool to resolve the
transcriptome heterogeneity of individual cells. However, this method falls short in revealing …

Background Heterogeneity in single-cell RNA-seq (scRNA-seq) data is driven by multiple
sources, including biological variation in cellular state as well as technical variation …

Pathogenic variants in genes that cause dilated cardiomyopathy (DCM) and arrhythmogenic
cardiomyopathy (ACM) convey high risks for the development of heart failure through …

Aging is characterized by a global decline in physiological function. However, by
constructing a complete single-cell gene expression atlas, we find that Caenorhabditis …

Most mammalian genes have multiple polyA sites, representing a substantial source of
transcript diversity regulated by the cleavage and polyadenylation (CPA) machinery. To …

The count table, a numeric matrix of genes× cells, is the basic input data structure in the
analysis of single-cell RNA-sequencing data. A common preprocessing step is to adjust the …

Multimodal single-cell profiling methods that measure protein expression with oligo-
conjugated antibodies hold promise for comprehensive dissection of cellular heterogeneity …

In situ transcriptomic techniques promise a holistic view of tissue organization and cell-cell
interactions. There has been a surge of multiplexed RNA in situ map** techniques but …