Data

Data

The data used in the main text of this work primarily come from four unique recent proteomic measurements. These publications are

  • Schmidt et al. 2016. The quantitative condition-dependent Escherichia coli proteome. Nature Biotechnology 34(1). DOI: 10.1038/nbt.3418
  • Peebo et al. 2015. Proteome reallocation in Escherichia coli with increasing specific growth rate. Molecular BioSystems 11. DOI: 10.1039/C4MB00721B
  • Li et al. 2014. Quantifying absolute protein synthesis rates reveals principles underlying allocation of cellular resources. Cell 157(3). DOI:10.1016/j.cell.2014.02.033
  • Valgepea et al. 2013. Escherichia coli achieves faster growth by increasing catalytic and translation rates of proteins. Molecular BioSystems 9. DOI: 10.1039/C3MB70119K

All of the code used in the processing of the raw data sets to make them directly comparable and comparable between growth rates can be found on the corresponding GitHub Repository. The result of this processing are three different files with measurements of the abundances of individual proteins, complexes, or classes of complexes. These (tidy) data sets, with headers describing the annotation, can be downloaded below: