William M. Mauck

The paper introduces CaRPool-seq, a method using Cas13 for combinatorial RNA perturbations in single cells, and applies it to study myeloid differentiation regulators in AML.

Weighted-nearest neighbor (WNN) analysis in Seurat v4 learns per-cell modality weights to define cell states, enabling a 228-antibody human PBMC CITE-seq reference for RNA-only query mapping.

The paper uses multi-modal single-cell screens to identify regulators of PD-L1 expression and develops a computational framework to improve analysis of perturbation data.

This study uses single-cell genomics in Ciona to map cardiopharyngeal fate decisions, revealing FGF-MAPK signaling's role in maintaining multipotency and the Tbx1/10-Dach pathway's role in suppressing the first heart lineage program.

Seurat v3 finds scored mutual-nearest-neighbor anchors in canonical correlation space to integrate scRNA-seq batches and transfer labels, protein levels and transcriptome-wide expression across modalities.

The paper introduces cell hashing using barcoded antibodies to enable multiplexing and doublet detection in single-cell genomics, demonstrating its effectiveness with human PBMC samples.