Sara Nolbrant

ANTIPODE integrates single-cell data across species to identify homologous cell types and reveal gene regulatory divergence in developing mammalian brains.

The paper presents a minimal gene regulatory model for rostrocaudal neural tube patterning and integrates it with a dorsoventral model to predict 3D patterning and sensitivity to morphogen levels.

The paper introduces BRAVE, a method for rational AAV vector evolution that maps peptide binding motifs in vivo using barcoding and clustering.

The paper uses scRNA-seq to analyze graft composition in a Parkinson’s disease cell therapy model, revealing differences between human stem cell-derived and fetal tissue grafts.

The paper compares protein and RNA expression levels in human and chimpanzee forebrain progenitor cells, finding that protein expression differences are more common and less correlated with RNA levels.