An ensemble learning method combined with multiple feature representation strategies to predict lncRNA subcellular localizations.

Long non-coding RNAs (lncRNAs) are strongly associated with cellular physiological mechanisms and implicated in the numerous diseases. By exploring the subcellular localizations of lncRNAs, we can not only gain crucial insights into the molecular mechanisms of lncRNA-related biological processes but also make valuable contributions towards the diagnosis, prevention, and treatment of various human diseases. However, conventional experimental techniques tend to be laborious and time-intensive.

Acid-responsive CST@NPs enhanced diabetic wound healing through rescuing mitochondrial dysfunction.

Diabetic ulcers (DUs) are persistent and challenging complications of diabetes. The consequences of DUs include a decline in functional status, increased risk of infection, hospitalization, and even death. Our study revealed a significant decrease in the levels of cortistatin (CST) in the skin tissue of patients with DUs and diabetic rats.