Abhyudai Singh

TL;DR: It is shown that human melanoma cells can display profound transcriptional variability at the single-cell level that predicts which cells will ultimately resist drug treatment, and this work reveals the multistage nature of the acquisition of drug resistance and provides a framework for understanding resistance dynamics in single cells.

TL;DR: Time-lapse fluorescence microscopy is used to analyze 8,000 individual human genomic loci and finds that at virtually all loci, episodic bursting—as opposed to constitutive expression—is the predominant mode of expression.

TL;DR: It is shown that transcript abundance correlates with cellular volume at the single-cell level due to increased global transcription in larger cells, and a separate mechanism for gene dosage compensation after DNA replication that enables proper transcriptional output during early and late S phase is revealed.

TL;DR: In this paper, the authors quantified expression noise from the long terminal repeat (LTR) promoter at different HIV-1 integration sites across the human genome and found that the measured noise levels are inconsistent with constitutive gene expression models, and that each burst generates an average of 2-10 mRNA transcripts before the promoter returned to an inactive state.

TL;DR: Comparisons reveal that this moment closure technique based on derivative-matching provides more accurate estimates of the moment dynamics, especially when the population size is small, and it is shown that the accuracy of the proposed moment closure scheme can be arbitrarily increased by incurring additional computational effort.