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  • Cell growth is an omniphenotype
    Tim Peterson
    bioRxiv 487157; doi: https://doi.org/10.1101/487157 New Results
  • Proteome-wide solubility and thermal stability profiling reveals distinct regulatory roles for ATP
    Sindhuja Sridharan, Nils Kurzawa, Thilo Werner, Ina Guenthner, Dominic Helm, Wolfgang Huber, Marcus Bantscheff, Mikhail M Savitski
    bioRxiv 488163; doi: https://doi.org/10.1101/488163 New Results
  • Boundary conditions for early life converge to an organo-sulfur metabolism
    Joshua E. Goldford, Hyman Hartman, Robert Marsland III, Daniel Segre
    bioRxiv 487660; doi: https://doi.org/10.1101/487660 New Results
  • Exponential trajectories, cell size fluctuations and the adder property in bacteria follow from simple chemical dynamics and division control
    Parth Pratim Pandey, Harshant Singh, Sanjay Jain
    bioRxiv 487504; doi: https://doi.org/10.1101/487504 New Results
  • Biomass segregation between biofilm and flocs improves the control of nitrite-oxidizing bacteria in mainstream partial nitritation and anammox processes
    Michele Laureni, David G. Weissbrodt, Kris Villez, Orlane Robin, Nadieh de Jonge, Alex Rosenthal, George Wells, Jeppe Lund Nielsen, Eberhard Morgenroth, Adriano Joss
    bioRxiv 480780; doi: https://doi.org/10.1101/480780 New Results
  • Plant-Necrotroph Co-transcriptome Networks Illuminate a Metabolic Battlefield
    WEI Zhang, Jason A. Corwin, Daniel Copeland, Julie Feusier, Robert Eshbaugh, David E Cook, Susana Atwell, Daniel J. Kliebenstein
    bioRxiv 485235; doi: https://doi.org/10.1101/485235 New Results
  • Metabolic Control Analysis of Exponential Growth and Product Formation
    David Andrew Fell
    bioRxiv 485680; doi: https://doi.org/10.1101/485680 New Results
  • Signatures of cell death and proliferation in perturbation transcriptomics data - from confounding factor to effective prediction
    Bence Szalai, Vigneshwari Subramanian, Robert Alfoldi, Laszlo G Puskas, Julio Saez-Rodriguez
    bioRxiv 454348; doi: https://doi.org/10.1101/454348 New Results
  • The y-ome defines the thirty-four percent of Escherichia coli genes that lack experimental evidence of function
    Sankha Ghatak, Zachary Andrew King, Anand Sastry, Bernhard O. Palsson
    bioRxiv 328591; doi: https://doi.org/10.1101/328591 New Results
  • Metabolic reprogramming dynamics in tumor spheroids: Insights from a multicellular, multiscale model
    Mahua Roy, Stacey D Finley
    bioRxiv 485201; doi: https://doi.org/10.1101/485201 New Results

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