Tarun Mahajan

The paper shows that single-cell heterogeneity in IFN induction potential is heritable and driven by baseline variation in JNK and AP-1 signaling states.

The paper develops a model to predict serial dilution dynamics in a synthetic human gut microbiome using metabolomics data and validates it with high correlation.

The paper identifies intrinsic OASL expression as a determinant of IFN induction potential in influenza A virus-infected cells using scRNA-seq analysis.

noSpliceVelo infers gene expression dynamics without requiring unspliced and spliced transcript separation, performing comparably or better than scVelo on multiple datasets.

The paper shows that the relative stability of mRNA and protein limits gene network inference from single-cell RNA data, using synthetic and real yeast data.

The paper analyzes how gene regulatory network topology influences noise propagation, identifying conditions for noise reduction in ring networks and proposing a framework using graph theory and stochastic processes.

The paper investigates the connectivity between transcriptional regulatory and protein-protein interaction networks across five eukaryotic species, revealing conserved design principles and their impact on network robustness.