Darren A. Cusanovich

The paper uses a multiplexed single-cell multiome approach to identify a molecular signature of insulin-driven asthma in adults with high early-life insulin levels.

The paper identifies early epigenetic programs in B cells that influence plasma cell survival and humoral immunity duration, showing that ZBTB20 deficiency affects antibody responses when disrupted early post-immunization.

This study uses high-throughput screens in human cells with authentic SARS-CoV-2 virus to identify neutralizing monoclonal antibodies and kinase inhibitors with minimal host toxicity.

The paper introduces txci-ATAC-seq, a high-throughput single-cell ATAC-seq method, and demonstrates its application across multiple tissues and genetic backgrounds.

The paper designs and optimizes a synthetic gene regulatory network using dCas12a, achieving higher reporter expression than dCas9-based systems.

This study profiles human aortic endothelial cells in vitro and atherosclerotic lesions ex vivo, revealing heterogeneous subtypes and their responses to perturbations.

The paper uses single-cell RNA-seq to profile airway cells from premature neonates, revealing a continuum of myeloid differentiation and identifying distinct developmental trajectories.

The paper presents the first single cell ATAC-seq study in C. elegans, identifying tissue-specific chromatin accessibility patterns aligned with existing RNA-seq data.

The paper uses single-cell ATAC-seq and deep learning to analyze pancreatic islet cells, revealing cell-specific regulatory signatures linked to type 2 diabetes.

The paper profiles chromatin accessibility in Drosophila embryos to uncover cis-regulatory programs and cell fate determinants during development.

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.

This paper introduces ScanDel, a CRISPR-based method to systematically delete non-coding regions of a gene locus, revealing that distal regulatory elements are not critical for HPRT1 function.

The paper introduces Cicero, a statistical method to link regulatory elements to target genes using single-cell chromatin accessibility data, and applies it to study myogenesis.