Akhilesh B. Reddy

The paper identifies HSF1-mediated proteostasis decline as a link between aging and sleep disruption through multi-omics analysis across human and mouse tissues.

The paper uses deep learning to show estradiol binds androgen receptors more strongly than testosterone, revealing evolutionary conservation and potential therapeutic implications.

This study shows that sleep loss triggers hepatic inflammation through a sympathetic-metabolic-immune axis by increasing uric acid synthesis and neutrophil recruitment.

This study uses optogenetic stimulation to show that sustained neuronal excitation in human SH-SY5Y cells generates staged, wake-like transcriptional progression through distinct temporal gene modules.

The paper identifies intrinsic circadian clocks in spinal dorsal horn and dorsal root ganglia, revealing temporally structured molecular programs and circadian modulation of pain-related genes.

This study investigates how sleep deprivation affects gene expression and nuclear protein abundance in neurons and astrocytes using integrated transcriptomics and proteomics.

This study identifies complement and coagulation pathway activation as a mechanism by which chronic sleep restriction accelerates brain aging in mice.

This study shows HSF1 regulates sleep-wake cycles in mice and Drosophila by affecting synaptic organization and sleep-related gene expression.

SlumberNet is a deep learning model that classifies sleep stages in mice with high accuracy and speed, showing potential for adaptation to human sleep analysis.

The paper uses single-cell RNA sequencing and cell-type specific proteomics to study sleep's molecular effects, finding cell-specific transcriptional, translational, and post-translational responses to sleep need.

The paper shows Drosophila S2 cells exhibit daily gene and metabolic oscillations without canonical circadian regulators.