For the past century, insulin injections have saved millions of lives, but glycemic instability is
still a persistent challenge for people with diabetes, leading to tremendous morbidity and …

Large single-cell atlases are now routinely generated to serve as references for analysis of
smaller-scale studies. Yet learning from reference data is complicated by batch effects …

The exponential increase of patients with diabetes mellitus urges for novel therapeutic
strategies to reduce the socioeconomic burden of this disease. The loss or dysfunction of …

Computational trajectory inference enables the reconstruction of cell state dynamics from
single-cell RNA sequencing experiments. However, trajectory inference requires that the …

Consistent annotation transfer from reference dataset to query dataset is fundamental to the
development and reproducibility of single-cell research. Compared with traditional …

RNA velocity has opened up new ways of studying cellular differentiation in single-cell RNA-
sequencing data. It describes the rate of gene expression change for an individual gene at a …

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

Uncertainty exists as to whether the glucose-dependent insulinotropic polypeptide receptor
(GIPR) should be activated or inhibited for the treatment of obesity. Gipr was recently …

Understanding pancreas development can provide clues for better treatments of pancreatic
diseases. However, the molecular heterogeneity and developmental trajectory of the early …

Single-cell genomic technologies enable the multimodal profiling of millions of cells across
temporal and spatial dimensions. However, experimental limitations hinder the …