Michael J. T. Stubbington

This paper introduces an instrument-free method for single-cell transcriptional profiling using kinetic confinement and bifunctional indexing reagents, enabling rapid and scalable analysis.

scHLAcount computes allele-specific HLA expression from single-cell RNA-seq data, revealing cell-type and tumor-normal differences in allelic patterns.

The paper uses single-cell transcriptomics to map hematopoiesis in human fetal liver, identifying cell differentiation trajectories and shifts in hematopoietic composition during development.

The paper profiles single-cell transcriptomes from the human first trimester fetal-maternal interface, revealing cellular composition and interactions critical for placentation.

BraCeR reconstructs B-cell receptor sequences and infers clonality from scRNA-seq data without needing additional Rep-seq.

The paper proposes the Human Cell Atlas project to catalog all human cell types through molecular profiling and connects this data with classical cellular descriptions.