The lab has been awarded an NSF grant (“Determine mechanisms of rewiring of the eukaryotic cell cycle by a virus without disrupting network function”) by the Developmental cluster within the Division of Integrated Organismal Systems (IOS). This builds upon and continues a multi-PI effort with Raluca Gordan, whose lab is adjacent to ours in the Duke Center for Genomic and Computational Biology.
Single-molecule RNA fluorescence in situ hybridization (smFISH) provides unparalleled resolution in the measurement of the abundance and localization of nascent and mature RNA transcripts in fixed, single cells. Mariana developed a computational pipeline (BayFish) to infer the kinetic parameters of gene expression from smFISH data at multiple time points after gene induction. Given an underlying model of gene expression, BayFish uses a Monte Carlo method to estimate the Bayesian posterior probability of the model parameters and quantify the parameter uncertainty given the observed smFISH data. This has been a fun and fruitful collaboration with the Anne West lab in Neuroscience at Duke!
Gomez-Schiavon M, Chen LF, West AE, Buchler NE. BayFish: Bayesian inference of transcription dynamics from population snapshots of single-molecule RNA FISH in single cells. Genome Biology 18: 164 (2017)
Congratulations to Edgar Medina for winning a Meredith Blackwell Award for best oral student presentation at the 2017 Annual Meeting of the MSA! Read more about Edgar’s research and the Blackwell Award.
He gave a talk on “Viral hijacking and evolution of the fungal cell cycle control network: the animal-fungal hybrid network of the zoosporic fungus Spizellomyces“.