Systems analysis

  • Article
    | Open Access

    While we have abundant data for transcription factor (TF) binding sites and TF expression at the mRNA level, our knowledge of TFs at the protein level and their DNA-binding activities is sparser. Here, the authors address this by using the catTFRE approach to profile active TFs in 24 adult and 8 fetal mouse tissues, and presenting the TF networks in major mouse organs.

    • Quan Zhou
    • , Mingwei Liu
    •  & Jun Qin
  • Article
    | Open Access

    Crohn’s disease is associated with altered intestinal microbiota. Here, the authors show that the microbe Atopobium parvulumis associated with Crohn’s disease patients, triggers colitis in a mouse model, and that scavenging microbe-induced hydrogen sulfide improved symptoms in mice.

    • Walid Mottawea
    • , Cheng-Kang Chiang
    •  & Alain Stintzi
  • Article
    | Open Access

    Translating omics data sets into biological insight is one of the great challenges of our time. Here, the authors make headway by synchronising pairs of omics data types via invariants across conditions and by integrating datasets into a genome-scale model of E. coli metabolism and gene expression.

    • Ali Ebrahim
    • , Elizabeth Brunk
    •  & Bernhard O. Palsson
  • Article
    | Open Access

    Many drugs are small molecule inhibitors of cell signalling. Through single cell analysis and mathematical modelling here the authors show that cell-to-cell variability diversifies inhibition response into digital and analogue, and that the two translate into distinct long-term functional responses.

    • Robert M. Vogel
    • , Amir Erez
    •  & Grégoire Altan-Bonnet
  • Article
    | Open Access

    High-grade serous ovarian cancer is the most common and aggressive ovarian cancer, with uncertain cell of origin. Here, the authors undertake a mass spectrometric analysis of 26 cancer cell lines and identify a protein signature that classifies ovarian cancer tissues into epithelial and mesenchymal groups.

    • F. Coscia
    • , K. M. Watters
    •  & M. Mann
  • Article
    | Open Access

    Analysis of network structure is usually based on knowledge of connections alone, ignoring additional information such as gender or age of individuals in social networks. Here the authors devise an approach that incorporates such metadata and uses it to improve the detection of network communities.

    • M. E. J. Newman
    •  & Aaron Clauset