Jasmine Plummer

BiNVaST improves cell typing across spatial transcriptomic platforms by generating synthetic data that preserves niche boundaries and integrates molecular and spatial information.

This study identifies lesion-remote astrocytes (LRAs) that drive microglia-mediated white matter repair after spinal cord injury through Ccn1-dependent mechanisms.

This paper identifies NUAK2 as a therapeutic target in AR-indifferent prostate cancer, showing trilaciclib inhibits NUAK2 and suppresses tumor growth.

This paper identifies the EZH2-TTP-mTORC1 axis as a driver of phenotypic plasticity and therapeutic vulnerability in prostate cancer, showing that combined inhibition of EZH2 and PI3K/mTORC1 improves anti-tumor activity.

STAMP enables low-cost, high-throughput single-cell analysis by integrating transcriptomics and proteomics imaging, supporting both single and multimodal profiling of diverse cell types.

SAHA creates a multimodal, subcellular-resolution reference atlas of healthy human tissues, revealing spatial organization and disease-associated disruptions across multiple organ systems.

FixNCut is a reversible fixation and dissociation method that preserves RNA integrity and cellular composition in human and mouse tissues, enabling robust single-cell and spatial analyses.

Head-to-head on serial prostate adenocarcinoma sections: Xenium gave higher sensitivity, wider dynamic range and closer agreement with snRNA-seq; CosMx segmented cells better out of the box.

This study introduces a method to generate high-quality single-nucleus transcriptomic data from FFPE samples using recent single-cell genomic technology.

The paper applies a one-class logistic regression model to predict stemness in single-cell and spatial omics datasets without requiring cell annotation.

This study performs cis- and trans-eQTL TWAS on breast and ovarian cancer data to identify 101 and 8 risk-associated genes, respectively, with several driven by trans-eQTLs.

This study uses spatial transcriptomics to identify gene signatures in the human temporal cortex linked to Alzheimer's pathology.

STOmics-GenX improves gene detection in spatial transcriptomics by integrating CRISPRclean with Stereo-seq, enhancing cell type annotation and biomarker identification in hepatocellular carcinoma.

This study improves transcriptome-wide association studies by integrating pleiotropy-guided methods with GWAS data to identify new cancer susceptibility genes.

The paper analyzes SARS-CoV-2 genomes from Southern California to trace community transmission pathways during the early US pandemic, identifying genetic and geographic patterns of viral spread.

The paper identifies RCCD1 as a susceptibility gene for breast and ovarian cancer by fine-mapping a risk locus and showing its expression and interaction patterns are associated with cancer risk.

This study shows that DNA methylation and gene expression patterns are preserved in recurrent high grade serous ovarian cancers, with BRCA1/2 carriers showing more shared methylation changes and improved survival.