Velina Kozareva

The paper shows that an IGF1-derived peptide reduces IGFBP2 in RTT astrocytes, improving synaptogenesis and mitochondrial function in neurons.

The paper identifies TDP-43-dependent molecular cascades in ALS/FTD by integrating multiomic data from iPSC-derived neurons and validates key genes through experimental assays.

The paper identifies transcriptomic changes in oligodendrocytes and precursor cells linked to Parkinson's disease outcomes and shows their predictive value for cognitive and depressive symptoms.

The paper analyzes ATAC-seq data from iPSC-derived motor neurons of ALS patients and controls to identify disease-specific chromatin accessibility changes and their predictive power for disease progression.

The paper shows enzymatic dissociation causes gene expression changes in microglia and proposes a protocol to reduce these artifacts in scRNA-seq.

The paper identifies candelabrum cells as abundant, GABAergic interneurons in the cerebellar cortex with distinct molecular properties and a unique role in circuit function.

The paper provides a protocol for using LIGER to jointly define cell types from multiple single-cell datasets, including RNA-seq and ATAC-seq data.

This study creates a transcriptomic atlas of the mouse cerebellum, identifying regional specializations and novel cell types, including two distinct molecular layer interneuron subtypes.

The paper introduces LIGER, an algorithm for integrating single-cell genomic data to analyze cell-type similarities and differences across species and contexts.