Harshavardhan BV

This study identifies network structures that support multi-fate cellular decisions by analyzing gene regulatory networks using monotone Boolean models.

The paper identifies a HOXA10-TWIST2 antagonistic circuit that drives partial epithelial-to-mesenchymal transition in the endometrium, essential for embryo implantation.

The paper analyzes monotone Boolean network models of gene regulatory networks to identify common steady states and multistability patterns, showing epithelial and mesenchymal states are most common in the EMT network.

The paper identifies the TGFβ-ANGPT2-Tie2 axis in cancer-associated fibroblasts that reprograms oral cancer cells to an embryonic-like state, linked to poor prognosis.

This study investigates toggle-n networks to understand the dynamics of differentiation into multiple cell states, showing co-expression of transcription factors and the role of cytokine signaling and regulatory asymmetry.

The paper investigates lineage-specific coordination of X-chromosome inactivation and active-X upregulation in female cells across different developmental contexts and identifies UTF1 as a mediator of X-upregulation erasure in some lineages.

The paper analyzes phenotypic heterogeneity in glioblastoma by examining subtype antagonism in transcriptomic data, finding that the proneural-mesenchymal axis is the dominant antagonistic pair.