An explosion in single-cell technologies has revealed a previously underappreciated
heterogeneity of cell types and novel cell-state associations with sex, disease, development …

Single-cell measurements of cellular characteristics have been instrumental in
understanding the heterogeneous pathways that drive differentiation, cellular responses to …

Cellular heterogeneity is prevalent in all cell populations. Single-cell analysis (SCA) could
unveil the heterogeneity and thus gain unique insights into complex biological processes …

The increasing availability of large-scale single-cell atlases has enabled the detailed
description of cell states. In parallel, advances in deep learning allow rapid analysis of newly …

Follicle-stimulating hormone (FSH) is involved in mammalian reproduction via binding to
FSH receptor (FSHR). However, several studies have found that FSH and FSHR play …

Although multiple pancreatic islet single-cell RNA-sequencing (scRNA-seq) datasets have
been generated, a consensus on pancreatic cell states in development, homeostasis and …

Islet dysfunction is central in type 2 diabetes and full-blown type 2 diabetes develops first
when the beta cells lose their ability to secrete adequate amounts of insulin in response to …

Background Human pancreatic islets are a central focus of research in metabolic studies.
Transcriptomics is frequently used to interrogate alterations in cultured human islet cells …

Abstract Machine learning (ML) algorithms are increasingly being used to help implement
clinical decision support systems. In this new field, we define as “translational machine …

Type 2 diabetes mellitus (T2DM) is a chronic disease that has become a global public health
problem. Studies on T2DM prevention and treatment mostly focus on discovering …