S. Bandyopadhyay

This study uses computational drug repositioning to identify agents that can sensitize drug-resistant breast tumors, finding fulvestrant effective across multiple treatment and receptor subtypes.

This study identifies how HBV alters PP2A complexes to drive liver cancer signaling, revealing potential therapeutic targets.

This study identifies a FAK-YAP signaling axis that drives drug-tolerant persister cells and residual disease in lung cancer, showing that inhibiting this axis improves tumor response to targeted therapies.

This study demonstrates that a cell-penetrating peptide targeting the Cx26/NANOG/FAK complex inhibits tumor growth and alters NANOG activity in triple-negative breast cancer.

This study tracks long-term persistence of CD4+ CAR T-cells in CLL patients, showing their role in sustained remission and clonal stability over 10 years.

This paper introduces a deep learning method to improve high-content screening for Alzheimer's disease therapeutics by generating predicted fluorescent signals from alternative markers.

This study identifies UGP2 as essential for pancreatic cancer growth by regulating glycogen and N-glycosylation, with potential therapeutic implications.

This study examines the temporal changes in infant nasal microbiota relative to RSV infection and identifies taxa associated with infection and disease severity.

The paper constructs a tyrosine kinase protein interaction map, revealing EGFR network oncogenesis in 19% of EGFR wild-type lung cancers, which is targetable with EGFR inhibitors.

The paper identifies that prenatal antibiotics or infection disrupt T cell and microbiota development, increasing respiratory morbidity risk in infants.

The paper identifies non-affine displacements as key to resolving the free energy landscape of macromolecules using time-structured independent component analysis and Markov state models.

This paper develops a low-cost, paper-based microfluidic device for anemia detection with high correlation and accuracy compared to standard tests.

This paper creates a quantitative chemical-genetic interaction map in human cells to identify factors affecting chemotherapy response and resistance.

The paper identifies AURKA as a barrier to PI3K/mTOR inhibitor efficacy in breast cancer by mapping kinome dynamics and showing that AURKA inhibition synergizes with these drugs to induce apoptosis and tumor regression.