# Current trends in single‐cell RNA sequencing applications in diabetes mellitus

## TL;DR

This review discusses how single-cell RNA sequencing is helping researchers better understand diabetes and find new ways to diagnose and treat it.

## Contribution

The paper provides an updated overview of scRNA-seq applications in diabetes mellitus, highlighting recent advancements in understanding its cellular and molecular mechanisms.

## Key findings

- scRNA-seq has enabled detailed characterization of human islet and immune cells in diabetes.
- The technology aids in identifying novel diagnostic and therapeutic targets for diabetes and its complications.
- Recent studies using scRNA-seq have improved understanding of diabetes pathogenesis at single-cell resolution.

## Abstract

Diabetes mellitus (DM) is among the most prevalent metabolic diseases worldwide, associated with an increased risk of mortality. Although numerous studies have been conducted to uncover the cellular and molecular pathways associated with DM pathogenesis, reaching new diagnosis and treatment goals for DM requires further research. The progress in gene sequencing technologies, particularly in single‐cell RNA sequencing (scRNA‐seq), has yielded additional insights into the molecular pathways involved in the development and progression of DM. This review summarizes the latest advances and applications of RNA‐seq technologies in diabetes research, such as the characterization of single human islet and immune cells in DM, and the applications of scRNA‐seq in the treatment and early diagnosis of diabetes complications.

Single‐cell RNA sequencing is a powerful approach to decipher the cellular and molecular landscape at a single‐cell resolution. The rapid development of this technology has led to a wide range of applications, including the detection of cellular and molecular mechanisms and the identification and introduction of novel potential diagnostic and therapeutic targets for diabetes mellitus and its related complications.