Nirmal Kumar Sampathkumar

This study identifies sex-specific aging-related changes in mouse peritoneal macrophages, driven by both hormone-dependent and -independent mechanisms.

The paper identifies sex-dimorphic gene expression patterns in mouse macrophages across niches, finding three consistently differentially expressed genes and female-biased pathways related to extracellular matrix components.

This study shows that using a robust statistical method to select reference genes from randomly chosen candidates is as effective as selecting stable genes from RNA-Seq data for qPCR normalization.

The paper presents a multi-omic analysis of mouse neutrophils, identifying age and sex-related differences in chromatin regulation and predicting increased neutrophil elastase release in males.

The paper evaluates four statistical methods for validating reference gene stability in longitudinal studies and proposes a combined workflow for improved accuracy.