239 citations · 632 across the 15 of their papers we have counts for
15 papers
Stochastic modeling of phenotypic switching and chemoresistance in cancer cell populations
Niraj Kumar, Gwendolyn M. Cramer, Seyed Alireza Zamani Dahaj +3
Phenotypic heterogeneity in cancer cells is widely observed and is often linked to drug resistance. In several cases, such heterogeneity in drug sensitivity of tumors is driven by…
Transcriptional bursting in gene expression: analytical results for general stochastic models
Niraj Kumar, Abhyudai Singh, Rahul V. Kulkarni
Gene expression in individual cells is highly variable and sporadic, often resulting in the synthesis of mRNAs and proteins in bursts. Bursting in gene expression is known to impac…
Exact distributions for stochastic gene expression models with bursting and feedback
Niraj Kumar, Thierry Platini, Rahul V. Kulkarni
Stochasticity in gene expression can give rise to fluctuations in protein levels and lead to phenotypic variation across a population of genetically identical cells. Recent experim…
Moment Closure Approximations in a Genetic Negative Feedback Circuit
Mohammad Soltani, Cesar Vargas, Niraj Kumar +2
Auto-regulation, a process wherein a protein negatively regulates its own production, is a common motif in gene expression networks. Negative feedback in gene expression plays a cr…
Efficiency of isothermal molecular machines at maximum power
Christian Van den Broeck, Niraj Kumar, Katja Lindenberg
We derive upper and lower bounds for the efficiency of an isothermal molecular machine operating at maximum power. The upper bound is reached when the activated state is close to t…
Stochastically driven single level quantum dot: a nano-scale finite-time thermodynamic machine and its various operational modes
Massimiliano Esposito, Niraj Kumar, Katja Lindenberg +1
We describe a single-level quantum dot in contact with two leads as a nanoscale finite-time thermodynamic machine. The dot is driven by an external stochastic force that switches i…