Matthew A. Lalli

The paper optimizes Perturb-seq and uses structural topic modeling to identify shared impacts of ASD genes on neural development, revealing effects on cell fate and differentiation.

This paper introduces barcoded self-reporting transposon calling cards to efficiently measure transcription factor binding and gene expression in bulk populations, demonstrating their use in vitro and in vivo.

The paper quantifies RNA editing in human brain cell types, identifies cell-specific editing sites, and discovers cis-editing quantitative trait loci linked to genetic regulation.

This paper uses single-cell profiling to functionally analyze ASD genes, identifying two convergent modules affecting neuronal differentiation and predicting shared clinical phenotypes.

This paper introduces self-reporting transposons (SRTs) and the scCC assay to simultaneously capture gene expression and TF binding in single cells, demonstrating their use in cultured cells and mouse cortex.