Bertrand Z. Yeung

The paper introduces inCITE-seq, a method for simultaneous measurement of intranuclear proteins and gene expression in single cells, and demonstrates its application in analyzing neuronal activity in mouse brain tissue.

SCITO-seq enables cost-effective profiling of over 10^5 cells using combinatorial indexing with dsc-seq, demonstrating feasibility in mixed cell lines and human lymphocytes.

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 paper introduces ASAP-seq, a method to simultaneously profile chromatin accessibility, protein levels, and mtDNA in single cells, demonstrating its application in hematopoietic differentiation and T cell perturbations.

The paper introduces a method to multiplex single-nucleus RNA-seq using barcoded antibodies, reducing costs and enabling large-scale studies.

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.