Juan C. Irwin

Simvastatin and Primaquine Identified as Potential Endometriosis Therapeutics via a Novel Epithelial-Stromal Assembloid Drug Screening Assay

The paper identifies simvastatin and primaquine as potential endometriosis treatments using human assembloids, showing significant reversal of disease-related gene expression pathways.

Predicting Endometriosis Status and Menstrual Cycle Phase Using DNA Methylation

This study uses DNA methylation data to predict endometriosis status and menstrual cycle phase, finding strong performance for cycle phase and moderate performance for endometriosis.

A Transcriptomics-Based Computational Drug Repurposing Pipeline Identifies Simvastatin And Primaquine As Therapeutics For Endometriosis

This study identifies simvastatin and primaquine as potential therapeutics for endometriosis through computational drug repositioning, showing reduced pain and gene expression changes in animal models and lower disease risk in EMR data.

Benchmarking Cell Type and Gene Set Annotation by Large Language Models with AnnDictionary

The paper benchmarks large language models for cell-type and gene set annotation using AnnDictionary, finding high accuracy in cell-type annotation and strong functional gene set recovery.

Anticlustering for Sample Allocation To Minimize Batch Effects

The paper introduces anticlustering to balance batches and minimize batch effects in high-throughput sequencing, showing improved balance compared to existing methods.

Single-Cell Profiling Reveals Altered Endometrial Cellular Features Across the Menstrual Cycle in Endometriosis Patients

The paper uses single-cell transcriptomics to analyze endometrial cells from endometriosis patients, revealing altered cellular features and immune communication networks across the menstrual cycle.

Global Endometrial DNA Multi-omics Analysis Reveals Insights into mQTL Regulation and Associated Endometriosis Disease Risk

The paper analyzes endometrial DNA methylation and genetic variants to identify mQTLs and their association with endometriosis risk and menstrual cycle phases.

The Tabula Sapiens: a multiple organ single cell transcriptomic atlas of humans

Nearly 500,000 cells from 24 human tissues, many from one donor, characterize over 400 cell types and enable within-donor study of T-cell clones, B-cell mutation rates and splicing.

Whole-tissue deconvolution and scRNAseq analysis identify altered endometrial cellular compositions and functionality associated with endometriosis