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  • Journal article
    Yuan Y, Stan G-B, Shi L, Barahona M, Goncalves Jet al., 2013,

    Decentralised minimum-time consensus

    , AUTOMATICA, Vol: 49, Pages: 1227-1235, ISSN: 0005-1098
  • Journal article
    Dominguez-Huettinger E, Ono M, Barahona M, Tanaka RJet al., 2013,

    Risk factor-dependent dynamics of atopic dermatitis: modelling multi-scale regulation of epithelium homeostasis

    , INTERFACE FOCUS, Vol: 3, ISSN: 2042-8898
  • Journal article
    Beguerisse-Diaz M, Vangelov B, Barahona M, 2013,

    Finding role communities in directed networks using Role-Based Similarity, Markov Stability and the Relaxed Minimum Spanning Tree

    , 2013 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP), Pages: 937-940, ISSN: 2376-4066
  • Journal article
    Beguerisse-Diaz M, Hernandez-Gomez M, Lizzul A, Barahona M, Desikan Ret al., 2012,

    Compound stress responses in stomatal closure: a systems model of ABA and ethylene interactions in guard cells

    , Bmc Systems Biology, Vol: 6
  • Journal article
    Thomas P, Grima R, Straube AV, 2012,

    Rigorous elimination of fast stochastic variables from the linear noise approximation using projection operators

    , PHYSICAL REVIEW E, Vol: 86, ISSN: 2470-0045
  • Journal article
    Kaloriti D, Tillmann A, Cook E, Jacobsen M, You T, Lenardon M, Ames L, Barahona M, Chandrasekaran K, Coghill G, Goodman D, Gow NAR, Grebogi C, Ho H-L, Ingram P, McDonagh A, de Moura APS, Pang W, Puttnam M, Radmaneshfar E, Romano MC, Silk D, Stark J, Stumpf M, Thiel M, Thorne T, Usher J, Yin Z, Haynes K, Brown AJPet al., 2012,

    Combinatorial stresses kill pathogenic Candida species

    , MEDICAL MYCOLOGY, Vol: 50, Pages: 699-709, ISSN: 1369-3786
  • Journal article
    Phoka E, Wildie M, Schultz SR, Barahona Met al., 2012,

    Sensory experience modifies spontaneous state dynamics in a large-scale barrel cortical model

    , JOURNAL OF COMPUTATIONAL NEUROSCIENCE, Vol: 33, Pages: 323-339, ISSN: 0929-5313
  • Conference paper
    Dominguez-Huttinger E, Ono M, Barahona M, Tanaka RJet al., 2012,

    System-level investigation of risk factors for atopic dermatitis by mathematical modelling and analysis

    , 42nd Annual Meeting of the European-Society-for-Dermatological-Research (ESDR), Publisher: NATURE PUBLISHING GROUP, Pages: S25-S25, ISSN: 0022-202X
  • Conference paper
    Huettinger ED, Ono M, Barahona M, Tanaka RJet al., 2012,

    Mathematical model of the development of Atopic dermatitis

    , 22nd IUBMB Congress/37th FEBS Congress, Publisher: WILEY-BLACKWELL, Pages: 523-523, ISSN: 1742-464X
  • Journal article
    Wang B, Barahona M, Buck M, 2012,

    A modular cell-based biosensor using engineered genetic logic circuits to detect and integrate multiple environmental signals

    , Biosensors and Bioelectronics, Vol: 40, Pages: 368-376, ISSN: 0956-5663

    Cells perceive a wide variety of cellular and environmental signals, which are often processed combinatorially to generate particular phenotypic responses. Here, we employ both single and mixed cell type populations, pre-programmed with engineered modular cell signalling and sensing circuits, as processing units to detect and integrate multiple environmental signals. Based on an engineered modular genetic AND logic gate, we report the construction of a set of scalable synthetic microbe-based biosensors comprising exchangeable sensory, signal processing and actuation modules. These cellular biosensors were engineered using distinct signalling sensory modules to precisely identify various chemical signals, and combinations thereof, with a quantitative fluorescent output. The genetic logic gate used can function as a biological filter and an amplifier to enhance the sensing selectivity and sensitivity of cell-based biosensors. In particular, an Escherichia coli consortium-based biosensor has been constructed that can detect and integrate three environmental signals (arsenic, mercury and copper ion levels) via either its native two-component signal transduction pathways or synthetic signalling sensors derived from other bacteria in combination with a cell-cell communication module. We demonstrate how a modular cell-based biosensor can be engineered predictably using exchangeable synthetic gene circuit modules to sense and integrate multiple-input signals. This study illustrates some of the key practical design principles required for the future application of these biosensors in broad environmental and healthcare areas.

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