Parisa Shooshtari

This paper identifies placental transcriptomic changes associated with maternal BMI through a meta-analysis of RNA-seq data, finding significant genes and pathways linked to inflammation and metabolism.

The paper investigates phagocytic capacities of B cell subsets and their ability to present antigens to T cells, finding that only peritoneal cavity B1 cells can uptake non-cognate antigens but fail to activate T cells.

This study identifies transcription factors and cell types involved in gene dysregulation of nine autoimmune diseases using integrative analysis of genetic and chromatin data.

TMExplorer provides a database and R tool for accessing and analyzing TME scRNA-seq data from 12 cancer types.

CReSCENT provides a web-based toolkit for analyzing scRNA-seq data in cancer research, offering preconfigured pipelines and user-editable workflows for non-experts.

The paper reports a detailed genetic and genomic map of multiple sclerosis, identifying susceptibility genes in peripheral immune cells and brain-resident microglia.

The paper creates a quality-checked database of open chromatin regions from 828 DNase-I hypersensitive sequencing samples across 194 human cell types.