Brittany N. Lasseigne

The paper identifies therapeutic drugs and targets for SETBP1-HD by integrating regulatory analysis and signature reversion across transcriptomic datasets.

The paper evaluates changes in glia-neuron communication in 3xTg-AD mice hippocampus at 6 and 12 months, finding increased dysregulation and 23 AD-associated ligand-receptor pairs.

The paper identifies cell-type-specific alternative splicing changes in the cerebral cortex and kidney of Setbp1S858R mice, with implications for Schinzel-Giedion Syndrome.

The paper uses long-read RNA sequencing to analyze C57BL/6J mouse brain isoform expression and identifies region- and sex-specific alternative splicing patterns.

The paper identifies altered glia-neuron communication in Alzheimer's disease using snRNA-seq, revealing dysregulation of WNT, p53, and NFkB signaling in inhibitory neurons.

The paper identifies drug repurposing candidates for low-survival cancers by prioritizing drugs that reverse disease-associated gene signatures using three methods.

The paper analyzes SETBP1 gene expression and transcription factor activity across 31 human tissues using GTEx data, identifying tissue-specific patterns and providing a web tool for exploration.

CoSIA provides a framework for cross-species transcriptomic comparison of non-diseased RNA-seq data across multiple species.

The paper compares six copy number-based chromosomal instability (CIN) metrics across 33 TCGA cancer datasets to assess their correlation with tumor type, clinical characteristics, and patient sex.

The paper evaluates how well cancer cell lines and PDX models recapitulate human tumor and non-diseased tissue gene expression profiles using in silico analysis.

This study uses snRNA-seq to analyze gene expression and regulatory changes in atypical SGS mice, revealing cell-type-specific effects of SETBP1 variants in the cerebral cortex and kidney.

The paper identifies sex-biased adverse event drug targets and metabolism genes, showing their sex-specific gene expression and regulatory networks.

The paper identifies drug targets and repurposing candidates for ADPKD by analyzing gene expression signatures from mouse Pkd2 models using signature reversion.

The paper identifies rare variants in TET2 associated with early-onset Alzheimer's disease and frontotemporal dementia, highlighting both coding and non-coding variants as risk factors.

Genome sequencing for early-onset dementia identified genetic variants in 50% of patients, including pathogenic variants and moderate penetrance alleles, supporting an oligogenic model.

The paper applies two novel collapsing methods to ALS sequencing data to identify risk regions in known ALS genes and candidate genes.

The paper compares transcriptomes and metabolomes of postmortem brain samples from schizophrenia, bipolar disorder, major depressive disorder, and controls to identify molecular differences and potential therapeutic targets.

aRNApipe is a modular RNA-seq processing pipeline designed for HPC environments, offering efficient workflow management and customizable analysis modules.