Christine Anne Wells

GenomeProt integrates genomics, transcriptomics, and proteomics to characterise proteoforms, discovering novel proteins and variant-containing peptides in human brain and melanoma samples.

The paper identifies new gene products and transcript isoforms in macrophage differentiation and activation, revealing how alternative promoters influence innate immune functions.

The paper identifies seven macrophage subtypes in the human inner ear across development and adulthood using scRNA-seq data, linking them to specific developmental stages and gene expression profiles.

This paper develops an in vitro protocol to generate human dendritic cells from iPSC with a feeder-free expansion step, resulting in DC1-like cells that show functional characteristics similar to monocyte-derived DCs.

This study examines Australian researchers' perceptions of stem cell registration, finding that registration is seen as a publication hurdle and often incomplete, undermining registry goals.

This study uses human kidney organoids to model hypoxic injury and maladaptive repair, identifying molecular and metabolic changes associated with AKI and CKD progression.

The paper describes the Stemformatics data portal, which curates and integrates gene expression datasets for stem cell research, enabling cross-dataset comparisons and benchmarking of cell types.

The paper identifies a new class of NRG1 isoforms, NRG1-VII, expressed in myeloid cells and suggests it may be the most common NRG1 class in adult tissues outside the brain.

This study compares proliferation and tolerance in tissue-resident and recruited macrophages using single-cell RNA sequencing, finding that proliferative capacity differs between cell types.

The paper analyzes RNA-seq data from whole blood of Indonesians to identify pathogens, finding Flaviviridae and Plasmodium as predominant, with distinct microbiome profiles compared to Mali and UK cohorts.

This study compares transcriptomic responses to Plasmodium falciparum and P. vivax infections in Indonesian patients to African and South American studies, finding shared and unique pathways.

constclust identifies robust cell clusters in scRNA-seq data by reconciling clustering results across parameter variations, improving accuracy and reproducibility with lower computational cost.

The paper integrates hundreds of transcriptome datasets from multiple platforms to create a cross-platform blood cell atlas, enabling robust cell type clustering without batch correction.

The paper analyzes myeloid cells from various sources to identify gaps in in vitro models compared to in vivo biology.

The paper uses RNA-sequencing to study immune responses in retinal inflammation, identifying Factor B's role in macrophage infiltration and inflammation.

The paper identifies shared expression patterns of genetic variants across tissues and cell types, enabling fine mapping of disease-associated variants and revealing key cell types involved in disease pathogenesis.