Sven Rottenberg

The paper identifies Aurora kinase A as a synthetic lethal target in FANCA-deficient cancers and shows AURKA inhibition induces chromosomal instability and G2/M arrest in these cells.

This study maps the spatiotemporal organization of minimal residual disease in BRCA1-deficient mouse and human breast tumors, identifying a drug-tolerant EMT-like cell population linked to poor clinical outcomes.

This study identifies nucleophagy as the mechanism by which trapped PARP1 is cleared, showing that inhibiting this process re-sensitizes PARPi-resistant cells to PARPi.

This study uses spatial transcriptomics and single-nucleus RNA sequencing to analyze rAAV2 and rAAV9 vector effects in mouse livers, revealing sex-specific transcriptomic changes and novel transgene co-expression factors.

This study shows that targeting the minor spliceosome, specifically U6atac snRNA, disrupts DNA repair and overcomes therapy resistance in prostate and breast cancers.

This study identifies TAOK1 as a regulator of replication fork stability in BRCA1/2-deficient tumors, showing it enhances sensitivity to PARPi and IR through PCNA and ISG15 interactions.

This study identifies the PIN1-p38-CtIP signaling pathway as essential for protecting stalled replication forks from degradation, independent of its role in homologous recombination.

X-Pression reconstructs 3D expression signatures from volumetric microcomputed tomography data, demonstrating its utility in analyzing vaccine efficacy and viral replication in mouse lungs.

Chrysalis identifies tissue compartments in spatial transcriptomics using archetypal analysis and spatially variable gene detection without external references.

The paper identifies host metabolic pathways essential for malaria and related hemoparasites by combining a metabolic model and CRISPR screen.

This paper introduces TRACE, a deep learning model for automated liver histopathology assessment in preclinical drug safety, achieving higher concordance than pathologists in lesion scoring and dose-response analysis.

This study uses TurboID proximity labeling to identify secreted effector proteins from Theileria annulata, revealing nine nuclear and four cytosolic candidates, eight of which are intrinsically disordered proteins absent in non-transforming species.

This study identifies MDC1's role in replication fork restart and shows its loss leads to chemoresistance in BRCA1/2-deficient mammary tumors.