The underrepresentation of functional glial cells is a major challenge in brain organoid models. We developed an astroglia-enriched cortical organoid model that allows efficient generation of functional astrocytes and enables the formation of astroglial morphological subclasses with layer-specific gene expression profiles upon transplantation into the mouse brain.

The Iniquitate pipeline assessed the impacts of cell-type imbalance on single-cell RNA sequencing integration through perturbations to dataset balance. The results indicated that cell-type imbalance not only leads to loss of biological signal in the integrated space, but also can change the interpretation of downstream analyses after integration.

With six approved drugs, siRNA is now an established therapeutic modality poised for expansion.

We developed a deep learning-based method, EMRNA, to automatically model RNA structures from cryo-electron microscopy maps. Evaluation of EMRNA on diverse test sets of RNA maps shows that it builds RNA models with high accuracy and efficiency.