Brittany A. Goods

This study identifies PCSK5A and GDF9 as key regulators of cumulus-oocyte-complex matrix integrity and cumulus cell migration during late ovulation, with implications for fertility therapeutics.

An engineered EGFR-targeting DARPin selectively inhibits ovulation through extracellular receptor blockade and establishes a versatile platform for investigating ovarian signaling and reproductive disorders.

The paper benchmarks sketching methods on spatial transcriptomics data, showing that spatially aware methods outperform others in preserving tissue structure and capturing rare cell states.

This paper presents a streamlined protocol for generating and multi-omic analyzing human macrophages from frozen PBMCs, showing their phenotypic stability and compatibility with snRNA-seq.

RASP is a fast dimensionality reduction method for spatial transcriptomics data that improves computational efficiency while maintaining accuracy in spatial domain detection.

The paper shows polyamines alter G. vaginalis-induced epithelial dysfunction by changing transcriptomic profiles and inflammatory responses.

This study benchmarks three imaging spatial transcriptomics platforms on FFPE tissues, finding 10x Xenium has higher transcript counts without sacrificing specificity, while all platforms align with RNA-seq data but vary in performance metrics.

The paper identifies gene expression patterns and regulatory elements associated with HMO biosynthesis in lactocytes using scRNA-seq and HMO concentration data.

This study maps the spatiotemporal profile of ovulation in mice using single-cell RNA-seq and spatial transcriptomics, identifying cell state markers and interactions involved in the process.

The paper presents MenoMap, a single-cell atlas of 2 million cells from 13 tissues including the ovary, analyzing gene expression changes across pre- and post-menopausal donors.

This study shows that MOS signaling is essential for meiotic cell cycle regulation and maintaining the egg transcriptome required for developmental competence.

This study uses single follicle RNA-seq to identify transcriptional signatures of ovarian follicles in mice, revealing stage-specific gene pathways involved in folliculogenesis.

This study uses scRNA-seq to analyze human breast milk cells over lactation, identifying cell type shifts and functional changes linked to time and maternal factors.