Matthew D. Young

The paper examines the transcriptional evolution of myeloid leukaemia in Down syndrome by analyzing single-cell RNA sequencing data from patient samples and fetal tissues.

The paper identifies second somatic NF1 mutations in normal tissues of neurofibromatosis type 1 patients through whole genome and exome sequencing, showing positive selection of truncating mutations in these tissues.

The paper introduces a high-accuracy sequencing method to detect somatic mutations in tissues, revealing extensive selection and driver mutations in oral epithelium and blood samples.

This study creates a cell atlas of human adrenal cortex development using multi-omics approaches, revealing key developmental processes and potential therapeutic implications.

The paper introduces a method to determine X-inactivation states in single-cell transcriptomes and uses it to infer cellular phylogenies in human females.

The paper identifies cancer cells from single cell transcriptomes by using allelic imbalances to accurately separate cancer from non-cancer cells.

The paper identifies a distinct developmental state in KMT2A-rearranged infant B-cell acute lymphoblastic leukemia using single-cell transcriptome analysis.

A multi-regional single-cell study of kidney tumours reveals clonotypic heterogeneity, immune cell exhaustion, and potential therapeutic targets through transcriptomic and exomic analysis.

This study uses whole genome sequencing of placental biopsies to show that human placentas exhibit clonal expansions, copy number changes, and developmental bottlenecks similar to childhood cancer.

This study creates a single-cell RNA sequencing atlas of the early intra-mammalian stage of Schistosoma mansoni, identifying gene expression profiles and validating cell markers.

SoupX removes ambient RNA contamination from droplet-based single-cell RNA sequencing data, improving biological interpretation and quality control.

BBKNN integrates multiple mouse single cell RNA-Seq datasets into a unified landscape by efficiently removing batch effects and revealing cell type and organ-specific markers.

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

This study identifies two molecular subgroups of anaplastic meningioma with distinct survival outcomes and links them to specific genetic mutations.