Garry P. Nolan

The paper introduces a machine learning method that integrates immunological knowledge to improve predictive power from mass cytometry data.

The paper identifies TNFAIP3 variants in humans, Denisovans, and mice that modulate A20 phosphorylation, revealing a genetic mechanism for balancing immunity and microbial tolerance.

The paper introduces srIBI, a super-resolution imaging technique, to visualize subcellular localization of biomolecules and drugs at the nanometer scale.

This paper introduces ion beam tomography (IBT), a 3D subcellular imaging technique, and demonstrates its ability to visualize genomic regions, RNA transcripts, and protein factors with high resolution.

The paper uses CODEX multiplexed imaging to analyze mouse spleen architecture, revealing how cellular neighborhoods affect immune cell receptor expression and identifying altered cell interactions in lupus.

MetaCyto enables meta-analysis of flow and mass cytometry data, revealing racial differences in immune cell populations across 2926 samples.

The paper introduces a tool for visualizing differences between biological conditions in single-cell data using overlapping KNN groupings, improving upon traditional partition-based methods.

PAC-MAN enables scalable analysis of multi-sample CyTOF data by clustering and aligning subpopulations across samples to identify dataset-level cellular states.

The paper identifies hematopoietic stem cells and related lineages in Botryllus schlosseri, suggesting their evolutionary origin in a common ancestor of tunicates and vertebrates.