Michael V. Sofroniew

The paper identifies the cellular origins and functional changes of astrocytes forming protective borders around CNS injuries, showing their role in neuroprotection.

The paper introduces Vespucci, a machine-learning method for identifying perturbation-responsive regions and genes in spatial transcriptomics data, showing it outperforms existing methods.

The paper develops a toolbox of astrocyte-specific AAV vectors using miRNA targeting sequences to reduce off-target expression in neurons and endothelial cells.

The paper introduces the Tabulae Paralytica, a multimodal atlas of spinal cord injury, revealing biological principles and developing a gene therapy to restore walking in old mice.

This study shows that lesion environments direct transplanted neural progenitors to differentiate into neuroprotective astroglial cells in CNS injuries.

The paper identifies REST/NRSF as a suppressor of CNS axon regeneration using systems biology approaches and validates its role through genetic manipulations.

The paper uses CRISPRi screens and single-cell transcriptomics in human astrocytes to identify regulators of inflammatory reactive states and their relevance in disease.

This study examines how neuroinflammation affects astrocyte gene expression in the mouse medial prefrontal cortex and links these changes to anhedonia, finding shared pathways with human major depressive disorder and Alzheimer's disease.

This study investigates CNS foreign body responses (FBRs) and shows they mimic wound responses, altering biomaterial functions based on interface properties.