Dvir Aran

The paper maps treatment-associated changes in the tumor immune microenvironment using single-cell RNA sequencing and identifies transition patterns that predict response to checkpoint inhibitor therapy.

The paper shows CYTOR and MORRBID lncRNAs share a conserved trans-acting function in MEK-ERK signaling, despite transcriptional divergence.

This paper identifies a 50-gene transcriptomic signature that predicts immunotherapy response specifically in patients who receive chemotherapy first, showing treatment-context specificity not seen in existing biomarkers.

CellMentor improves dimensionality reduction for scRNA-seq by preserving cell-type-specific signals and reducing batch effects across datasets.

xCell 2.0 improves cell type proportion estimation from bulk RNA-seq data and predicts immune checkpoint blockade response more accurately than existing methods.

The paper shows that gap junctions between breast cancer cells and adipocytes transfer cAMP, activating lipolysis in the tumor microenvironment to support tumor growth.

SLAYER identifies synthetic lethal interactions by integrating cancer genomic data and CRISPR screens, finding 142 high-confidence candidates with 15-fold enrichment over random pairs.

This study identifies altered monocyte subsets and suppressed interferon signaling in T2DM mice, contributing to worsened stroke outcomes through immunosuppression and inflammation.

The paper develops a machine learning model to identify functional lncRNAs and validates SNHG6's role in hematopoietic differentiation and leukemia.

The paper identifies molecular and structural changes in aging human lungs that contribute to fibrosis and impair lung function.

The paper evaluates cell lines as models of primary tumors across 22 types using transcriptomic data, finding cell-cycle pathways are consistently upregulated in cell lines.

xCell infers 64 immune and stroma cell types from transcriptomes using gene-signature-based methods and outperforms existing approaches in in silico analyses.