Charles Wang

This study maps DNA methylation changes in 12 organs/tissues of spaceflight mice, showing tissue-specific and reversible epigenetic modifications linked to metabolic and immune dysregulation.

This study shows prenatal e-cigarette exposure causes region- and cell type-specific metabolic and developmental changes in neonatal rat brains, linked to neurodevelopmental disease risk.

This study shows that prenatal THC exposure disrupts mitochondrial gene programs and medium spiny neuron maturation in the nucleus accumbens using snRNA-seq and snATAC-seq in a rat model.

This study shows that astrocytic D1 dopamine receptors in the nucleus accumbens shell regulate synaptic remodeling and cocaine seeking behavior in mice.

The paper examines how NAc neurons shift their activity patterns during cocaine self-administration training, finding expansion and refinement dynamics in neuronal ensembles.

This paper identifies G9a's role in SARS-CoV-2-induced pathogenesis by regulating translation of viral and host proteins, showing that G9a inhibitors can reverse disease-related proteomic changes.

This study benchmarks five scCNV inference methods across multiple scRNA-seq platforms and mixed samples, finding variations in performance based on data characteristics and batch effects.

This study uses spatial transcriptomics on FFPE kidney biopsy tissues to identify distinct transcriptomic signatures for different types of kidney transplant rejections.

The paper provides comprehensive reference materials with genomic, epigenomic, transcriptomic, scRNA-seq, and proteomic characterizations of two cell lines for benchmarking and validation.

This study develops a patient-derived model of cisplatin resistance in ovarian cancer stem-like cells and identifies molecular and functional changes associated with resistance.

This study identifies G9a's noncanonical role in promoting translation of genes involved in hyperinflammation and lymphopenia in COVID-19, revealing therapeutic targets that counteract viral effects.

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 benchmarks seven SARS-CoV-2 whole-genome sequencing protocols using patient samples, finding performance differences based on viral input and sequencing parameters.

This study shows spaceflight alters the DNA methylome and transcriptome in mouse retinas, slowing the epigenetic clock and affecting disease-related pathways.

This study compares somatic mutation detection accuracy using personalized genome assembly versus standard reference in cancer samples, showing improved results with personalized assemblies.

This study evaluates somatic CNV callers using NGS data from 91 samples with varying factors, finding that caller choice and tumor purity significantly impact call quality.

The paper presents a multi-center cross-platform scRNA-seq reference dataset for benchmarking bioinformatics methods across different platforms and centers.

This study benchmarks scRNA-seq reproducibility across platforms and pipelines, finding that batch correction methods significantly affect results.

The paper evaluates epigenetic methods using reference materials, finding high concordance between assays and differences in performance across platforms.