Trupti Joshi

This study identifies RAP2.3 as essential for MYB51 and SIGMA3 expression during Arabidopsis thaliana's response to multifactorial stress combinations, revealing a regulatory pathway critical for survival under combined stress conditions.

The paper shows that bHLH35 in Arabidopsis thaliana is specifically required for survival under combined salinity, excess light, and heat stress, but not individual or other combinations.

The paper investigates how multifactorial stress combinations affect Chlamydomonas reinhardtii, showing enhanced aggregation in an rbo1 mutant under stress.

The paper shows that physically touching plants exchange electric and H2O2 signals, enhancing their resilience to excess light stress.

This study investigates how Arabidopsis responds to combined stressors of water deficit, heat, and elevated CO2, identifying OST1 and SLAH3 as key regulators of stomatal closure under these conditions.

This study examines transcriptomic and physiological responses of soybean plants to water deficit, heat stress, and their combination in field conditions, finding distinct responses compared to controlled environments.

This study shows that an anti-EGFR aptamer reduces viability of NSCLC cells with EGFR L858R mutations and tumor burden in a mouse model, with cell line-dependent mechanisms.

G2PDeep-v2 is a web-based deep learning platform for phenotype prediction and biomarker discovery using multi-omics data across organisms, offering model training and visualization tools.

This paper introduces GRGNN, a graph neural network for gene regulatory network inference using supervised and semi-supervised learning, achieving state-of-the-art performance on DREAM5 benchmarks.