Kerstin B. Meyer

The paper identifies a novel asthma-associated epithelial differentiation trajectory involving KRT14+ basal cells and hillock-like cells that contributes to airway inflammation and remodelling in childhood-onset asthma.

Human Developmental Cell Atlas integrates ~4.6 million cells/nuclei from 4-22 post-conception weeks into 454 refined cell types and maps 114 spatial niches across 6PCW whole-embryo sections.

The paper creates a regulon atlas mapping TF activity across human cell types and uses it to link disease signatures to cell types and TFs, improving disease risk locus analysis.

inVAE improves cell state identification by disentangling biological and technical variation in single-cell data, outperforming existing methods across multiple human tissues.

The paper integrates single-cell RNA-seq datasets across the GI tract to identify epithelial metaplasia in inflammatory diseases, showing its role in inflammation through immune cell interactions.

Genes2Genes aligns single-cell trajectories using a Bayesian DP framework, revealing gene-level mismatches and highlighting differences in T cell differentiation between in vitro and in vivo states.

This study constructs a multiomic atlas of human early skeletal development using single-nuclei transcriptomics, epigenomics, and spatial transcriptomics to uncover regulatory mechanisms and cell states involved in bone and joint formation.

This study investigates how scRNA-seq data can predict the clinical success of drug targets by analyzing cell type and disease-specific expression patterns.

CellHint harmonizes cell types across Human Cell Atlas datasets, revealing new cell states and providing a cross-tissue database with 3.7 million cells.

FastCAR corrects ambient RNA contamination in scRNA-Seq data, improving the accuracy of differential gene expression analysis by reducing false positives.

RNA sequencing in bronchial biopsies from wheezing infants and children < 2 years shows evidence for an airway epithelial hillock-to-squamous differentiation pathway that marks the development of asthma.

The paper develops GASPACHO to identify dynamic eQTLs in antiviral responses using single-cell RNA-seq, uncovering thousands of eQTLs and linking them to disease risk loci.

The paper constructs a human fetal lung cell atlas from 5-22 post conception weeks, identifying new cell states and regulators of epithelial fates.

The paper maps the multi-organ functions of the human yolk sac during early development, revealing its roles in hematopoiesis, nutrition, and oxygen regulation.

This study creates a single-cell and single-nucleus transcriptomic atlas of human skeletal muscle ageing, revealing mechanisms in muscle stem cells, myofibers, and the microenvironment.

The paper uses a CRISPRi screen in human fetal lung organoids to identify SOX9 as a key regulator of progenitor self-renewal, showing it primes cells to receive WNT and RTK signals.

The paper identifies persistent smoking-related immune alterations in airway tissues and links them to genetic risk factors and lung cancer risk using transcriptomic data and GWAS integration.

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 single-cell RNA-sequencing to analyze fetal bone marrow development and identifies disruptions in hematopoiesis in Down syndrome.

This study identifies a human fetal lung progenitor cell population with alveolar fate potential and develops an organoid system to study alveolar development mechanisms.

The paper introduces an interactive scRNA-Seq analysis environment based on Galaxy, integrating ~70 functions for scalable and accessible single-cell data analysis.

This study evaluates the impact of cold storage on scRNAseq data quality for lung, spleen, and oesophagus tissues, finding minimal effects within 24 hours but increased stress markers at 72 hours.

The paper introduces LandSCENT, a computational method to identify bipotent-like cells in mammary epithelium, which are associated with breast cancer risk.

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.

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