Rajanikanth Vadigepalli

This study develops a computational model of the HNSCC tumor microenvironment to identify subtype-specific resistance mechanisms and predict therapeutic targets for immunotherapy.

This paper develops a systems-theoretic formalism to analyze tumor microenvironment (TME) dynamics and predict immune checkpoint inhibitor (ICI) response by identifying attractor transitions and subtype-specific therapies.

The paper investigates RA network robustness during embryogenesis, finding direction-dependent trade-offs in feedback responses that affect developmental outcomes.

The paper creates a spatially-tracked single-cell transcriptomics map of the right atrial ganglionic plexus, revealing multipotential neuronal phenotypes and a combinatorial neuromodulatory network.

The paper creates a 3D single-cell anatomical map of the rat intrinsic cardiac nervous system, showing sex-dependent differences in neuron count and density while maintaining consistent spatial organization.

The paper creates a comprehensive neuroanatomic atlas of the RAGP-SAN complex in porcine and human hearts, showing how intrinsic cardiac neurons control SAN automaticity and cardiac function.

The paper uses single-cell transcriptomics to analyze DMV neuronal states under homeostasis and after cardiac ischemic injury, revealing shifts in input-output signal processing and regulatory microRNAs.

This paper creates the first comprehensive 3D anatomical and molecular atlas of the rodent intrinsic cardiac nervous system at single-cell resolution.

Blocking two microRNAs in the brainstem prevents hypertension in SHR rats by modulating gene regulatory networks.

This study examines how chronic cardiac ischemia alters the transcriptional phenotype of neurons in the dorsal motor nucleus of the vagus in rats, showing a shift towards a neurosecretory phenotype.