Project description:We combined RNA metabolic labeling and alkylation with droplet-based sequencing to detect newly synthesized mRNAs in single cells. With the classification of labeled and unlabeled precursor and mature mRNAs, we modeled and analyzed the time-dependent RNA kinetic rates associated with the cell cycle. We found both transcription and degradation rates are highly dynamic over the cell cycle and different kinetic regulation types were observed for cycling genes.
Project description:This dataset contains global label-free proteomics data from Saccharomyces cerevisiae cultivated under carbon-limited chemostat conditions. Samples were collected under aerobic and anaerobic steady-state conditions and after establishment of a dynamic steady state induced by repetitive glucose pulses. Proteomic analysis was performed to investigate oxygen-dependent metabolic adaptation and long-term proteome reprogramming in response to transient carbon excess under nutrient-limited conditions. Raw mass spectrometry files and processed identification and quantification results are provided.
Project description:T cell receptor(TCR) engagement in the absence of costimulation leads to a state of T cell tolerance known as anergy. Anergy induction requires new protein synthesis since it is inhibited by cycloheximide. In this experiment, we tried to figure out kinetic properties of the gene expression in anergy induction phase and the subsequent anergy maintenance phase.
Project description:The rates at which domains fold and codons are translated are important factors in determining whether a nascent protein will co-translationally fold and function or misfold and malfunction. In this study, we develop a chemical kinetic model that calculates a protein domain’s co-translational folding curve using only the domain’s bulk folding and unfolding rates and codon translation rates. We show that this model accurately predicts the course of co-translational folding measured in vivo for four different protein molecules. As part of our chemical kinetic model, we assume that there is steady-state translation kinetics through the time-course of the experiment. To prove that this assumption is valid, we performed Ribo-Seq experiments on two biological replicates of yeast cells to compare their ribosome profiles. For genes with sufficient coverage across the open reading frames in both the replicates, we compare the ribosome profiles from both replicates and see a strong correlation. This implies there is a steady-state and our assumption is valid.