Brian N. Papas

This study shows that N6-methyladenosine (m6A) is abundant on IAV mRNAs but rare on genomic RNA, and m6A promotes mRNA stability and viral replication.

The paper identifies a transitional stage in breast cancer metastasis characterized by malignant epithelial diversification and inflammatory neutrophil remodeling, linking these to poor clinical outcomes.

TLR5 deficiency is linked to pulmonary fibrosis due to its role in preventing microbial dysbiosis following lung injury.

This study shows that TENT5C regulates Odf1 poly(A) tail length, affecting sperm morphology and fertility by controlling ODF1 protein localization.

This study investigates how PFOA exposure disrupts neuro-muscular development in zebrafish embryos, revealing molecular perturbations linked to behavioral changes.

The paper identifies a transcriptional regulatory network in murine gonadal supporting cells that underlies sex differentiation, revealing how chromatin changes and gene expression drive Sertoli and granulosa cell fates.

This study uses Nanopore DRS to show m6A modification on HBV RNA enhances stability by protecting long poly(A) tails, supporting m6A as an antiviral target.

The paper shows that calcium signals at fertilization alter metabolic substrates, affecting epigenetic marks H3K27ac and H3K18la, which impact embryo development and offspring health.

This study identifies a hypothalamic circuit involving ARCAgRP and MPOABRS3 neurons that modulates the prioritization of feeding and parenting behaviors during lactation.

The paper investigates how developmental exposure to diethylstilbestrol (DES) disrupts uterine differentiation and leads to adenocarcinoma through Wnt/β-catenin and PI3K/AKT signaling.

This study evaluates reproducibility and accuracy of cancer mutation detection using whole-genome and whole-exome sequencing across multiple sequencing centers and bioinformatics pipelines.

SALSA is a method that identifies transcriptional profiles from minimal scRNA-seq data, achieving reproducible results with reduced computational and experimental costs.