Andrew McDavid

This study identifies granzyme K as a driver of a novel complement activation pathway independent of classical, lectin, or alternative pathways.

The paper develops SCENT, a method to create cell-type-specific enhancer-gene maps from single-cell multimodal data, identifying causal variants and genes for diseases.

The paper applies a flow cytometry analysis tool to CITE-seq data to identify protein-based cell phenotypes linked to critical COVID-19 severity.

The paper uses single-cell RNA sequencing to create a molecular map of newborn human lung cells and identifies cell type-specific developmental states and biomarkers.

The paper maps cell-type-specific eQTLs for HLA genes across multiple tissues and identifies dynamic regulation of HLA-DQ genes in immune cells.

The paper deconstructs RA synovium using single-cell data to identify six cell type abundance phenotypes associated with distinct inflammatory states.

This study shows that neonatal hyperoxia inhibits atrial cardiomyocyte proliferation by suppressing fatty acid synthesis genes, leading to diastolic heart failure.

The paper examines co-occurrence patterns of gut and respiratory microbiota in pre- and full-term infants over the first year, identifying three patterns of CST manifestation related to infant maturity.

The paper introduces a statistical framework to analyze single-cell RNA-seq data by modeling bimodality and characterizing transcriptional changes and heterogeneity.

The paper models bi-modality in single-cell gene expression to improve characterization of cell cycle effects and finds the cell cycle explains 5%-17% of expression variability.