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

Fibroblasts are highly dynamic cells that play a central role in tissue repair and fibrosis.
However, the mechanisms by which they contribute to both physiologic and pathologic …

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer entity characterized by a
heterogeneous genetic landscape and an immunosuppressive tumor microenvironment …

The recent advancement in spatial transcriptomics technology has enabled multiplexed
profiling of cellular transcriptomes and spatial locations. As the capacity and efficiency of the …

In the past decade, single-cell technologies have proliferated and improved from their
technically challenging beginnings to become common laboratory methods capable of …

RNA velocity provides an approach for inferring cellular state transitions from single-cell
RNA sequencing (scRNA-seq) data. Conventional RNA velocity models infer universal …

Dimensionality reduction is standard practice for filtering noise and identifying relevant
features in large-scale data analyses. In biology, single-cell genomics studies typically begin …

The recent breakthrough of single-cell RNA velocity methods brings attractive promises to
reveal directed trajectory on cell differentiation, states transition and response to …

The field of single-cell omics is rapidly progressing. Although DNA and RNA sequencing-
based methods have dominated the field to date, global proteome profiling has also entered …

Recent advances in single-cell sequencing technologies have provided unprecedented
opportunities to measure the gene expression profile and RNA velocity of individual cells …