Estimation of rates of translation and turnover from proteomics datasets

SynthSys is the University of Edinburgh's research organisation in interdisciplinary, Synthetic and Systems Biology, founded in 2012 as the successor to the Centre for Systems Biology at Edinburgh (CSBE).

Andrew Millar's research group, University of Edinburgh

EU FP7 collaborative project TiMet, award number 245143. Funded 2010-2015. "TiMet assembles world leaders in experimental and theoretical plant systems biology to advance understanding of the regulatory interactions between the circadian clock and plant metabolism, and their emergent effects on whole-plant growth and productivity."

Click on Snapshot 2 to download data, models and analysis for Daniel Seaton et al. biorXiv 2017 https://doi.org/10.1101/182071 and Molecular Systems Biology, accepted Jan 2018, https://doi.org/10.15252/msb.20177962. Note that the published paper cannot be fully linked into this record as the DOI above was not live when we made the Research Object from this Investigation on FAIRDOMHub.

Literature data and associated scripts analysed in the Seaton et al. 2017 study; data processing by Daniel Seaton.

Proteomics data for N15 incorporation into protein in Ostreococcus grown in 12L:12D light:dark cycles.

Quantitative proteomic analysis of Cyanothece ATCC51142 grown in 12L:12D light:dark cycles, using partial metabolic labeling and LC-MS analysis.

Python scripts to run the analysis estimating rates of protein synthesis in the light and dark, and overall rates of protein turnover, in Cyanothece and Ostrecoccus tauri.