Marc Sultan

This study uses spatial transcriptomics and single-nucleus RNA sequencing to analyze rAAV2 and rAAV9 vector effects in mouse livers, revealing sex-specific transcriptomic changes and novel transgene co-expression factors.

The paper develops an optimized droplet digital PCR assay to precisely quantify allele-specific HTT mRNA expression in HD patient cell lines, enabling reliable monitoring of allele-selective knockdown.

This study compares single-cell RNA-seq methods for neutrophil transcriptome profiling in clinical samples, finding all methods produce high-quality data with 10X FLEX showing strong concordance with flow cytometry.

The paper presents whole-genome and whole-exome sequencing datasets from a multi-center, cross-platform study to benchmark NGS technologies and bioinformatics pipelines in cancer genomics.

The paper establishes reference samples with high-coverage whole-genome sequencing to create truth sets for somatic mutation and germline variant detection using NGS technologies.

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

This study compares the epigenomes of neutrophils and monocytes to identify regulatory elements and chromatin states, revealing differences in enhancer activity and DNA methylation.