Scott N. Furlan

This study shows that CENP-A, a centromere-specific histone variant, is dynamically regulated by synaptic activity in neurons and is required for activity-dependent gene expression and hippocampus-dependent learning and memory.

The paper quantifies maternal microchimerism in the human brain using snRNA-seq and identifies diverse cell types across age groups.

Owl quantifies microsatellite instability from long-read data, identifying MSI-high genomes and motif-specific patterns in cancer samples.

Cellector detects rare foreign genotype cells in scRNAseq data, showing accuracy down to 0.05% microchimeric cells.

This study shows that overexpressing c-Jun in CAR-T cells enhances their ability to maintain PD-1+Tcf1+ stem-like cells in tumors and improves response to PD-L1 blockade.

This paper introduces scrHLA-typing, a method to quantify HLA transcripts in single cells using long-read sequencing, showing its ability to detect allele-specific expression in post-transplant relapse samples.

The paper identifies distinct transcriptional programs in Ewing sarcoma driven by EWS::FLI1 fusions and shows their variability across tumors and cell lines.

The paper introduces sciPlex-ATAC-seq for high-capacity multiplexing of single-cell chromatin accessibility, demonstrating its use in chemical epigenomics and immune stimulation studies.

This paper develops scCUT&Tag to profile H3K27me3 in single cells, distinguishing cell types in blood and identifying PcG activity changes in brain tumors before and after treatment.

This paper introduces sci-RNA-seq, a combinatorial indexing method for single-cell RNA sequencing, and applies it to profile 42,035 C. elegans cells, identifying 27 cell types and their specific genes.