Riddhiman Dhar

The paper shows that ribosome demand linked to high translational efficiency correlates with protein noise, specifically in genes with bursty transcription.

This study identifies central transcription factors in lung adenocarcinoma progression by analyzing gene regulatory network transitions and reveals their role in intratumor heterogeneity.

This study shows that mtDNA copy number increases with mutational load in cancer and influences disease progression and therapy response across multiple cancer types.

This study shows that yeast populations in predictable environments lose adaptive potential, with adaptation to stress driven by de novo mutations rather than pre-existing cryptic variations.

The paper identifies transcription factor (TF) binding dynamics as the main driver of gene expression noise in yeast, showing that cooperation and competition among TFs increase noise.

The paper shows that changes in gene expression alter the strength and direction of genetic interactions between mutations in many genes.

The paper investigates cell-to-cell variation in yeast by analyzing the impact of gene deletions on mitochondrial state and its effects on proliferation, drug resistance, and mutation outcomes.