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Prof.dr. R.J. Bino

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  • The genetics of plant metabolism (2006)

    Authors:Keurentjes, J.J.B.; Fu, J.; Vos, de C.H.; Lommen, A.; Hall, R.D.; Bino, R.J.; Plas, van der L.H.W.; Jansen, R.C.; Vreugdenhil, D.; Koornneef, M.
    In:Nature Genetics, 38(7), 842 - 849. ISSN 1061-4036.

    Abstract:

    Variation for metabolite composition and content is often observed in plants. However, it is poorly understood to what extent this variation has a genetic basis. Here, we describe the genetic analysis of natural variation in the metabolite composition in Arabidopsis thaliana. Instead of focusing on

  • Alignment and statistical difference analysis of complex peptide data sets generated by multidimensional LC-MS (2006)

    Authors:America, A.H.P.; Cordewener, J.H.G.; Geffen, van M.H.A.; Lommen, A.; Vissers, J.P.C.; Bino, R.J.; Hall, R.D.
    In:Proteomics, 6(2), 641 - 653. ISSN 1615-9853.

    Abstract:

    A method for high-resolution proteomics analyses of complex protein mixtures is presented using multidimensional HPLC coupled to MS (MDLC-MS). The method was applied to identify proteins that are differentially expressed during fruit ripening of tomato. Protein extracts from red and green tomato fru

  • High pigment tomato mutants - more than just lycopene (a review) (2006)

    Authors:Levin, I.; Vos, de C.H.; Tadmor, Y.; Bovy, A.G.; Lieberman, M.; Oren-Shamir, M.; Segev, O.; Kolotilin, I.; Keller, M.; Ovadia, R.; Meir, A.; Bino, R.J.
    In:Israel Journal of Plant Sciences, 54, 179 - 190. ISSN 0792-9978.

    Abstract:

    Fruit constitutes a major component of our diet, providing fiber, vitamins, minerals, and many phytonutrients that promote good health. Fleshy fruits such as tomatoes already contain high levels of several of these ingredients. Nevertheless, efforts have been invested in increasing and diversifying

  • A liquid chromatography-mass spectrometry-based metabolome database for tomato (2006)

    Authors:Moco, S.I.A.; Bino, R.J.; Vorst, O.F.J.; Verhoeven, H.A.; Groot, de J.C.W.; Beek, van T.A.; Vervoort, J.J.M.; Vos, de C.H.
    In:Plant Physiology, 141(4), 1205 - 1218. ISSN 0032-0889.

    Abstract:

    For the description of the metabolome of an organism, the development of common metabolite databases is of utmost importance. Here we present the Metabolome Tomato Database (MoTo DB), a metabolite database dedicated to liquid chromatography-mass spectrometry (LC-MS)- based metabolomics of tomato fru

  • Gene expression programs during Brassica oleracea seed maturation, osmopriming and germination process and the stress tolerance level (2005)

    Authors:Soeda, Y.; Konings, M.C.J.M.; Vorst, O.F.J.; Houwelingen, van A.M.M.L.; Stoopen, G.M.; Maliepaard, C.A.; Kodde, J.; Bino, R.J.; Groot, S.P.C.; Geest, van der A.H.M.
    In:Plant Physiology, 137(1), 354 - 368. ISSN 0032-0889.

    Abstract:

    During seed maturation and germination, major changes in physiological status, gene expression, and metabolic events take place. Using chlorophyll sorting, osmopriming, and different drying regimes, Brassica oleracea seed lots of different maturity, stress tolerance, and germination behavior were cr

  • A non-directed approach to the differential analysis of multiple LC-MS-derived metabolic profiles (2005)Open access

    Authors:Vorst, O.F.J.; Vos, de C.H.; Lommen, A.; Staps, R.V.; Visser, R.G.F.; Bino, R.J.; Hall, R.D.
    In:Metabolomics, 1(2), 169 - 180. ISSN 1573-3882.

    Abstract:

    An essential element of any strategy for non-targeted metabolomics analysis of complex biological extracts is the capacity to perform comparisons between large numbers of samples. As the most widely used technologies are all based on mass spectrometry (e.g. GCMS, LCMS), this entails that we must be

  • Plant metabolomics: biomarkers! biomarkers! (2005)

    Authors:Bino, R.J.; Hall, R.D.
    In:Bioforum Europe, 2005(3), 57 - 59. ISSN 1611-597x.

  • The light-hyperresponsive high pigment-2dg mutation of tomato: alterations in the fruit metabolome (2005)

    Authors:Bino, R.J.; Vos, de C.H.; Lieberman, M.; Hall, R.D.; Bovy, A.G.; Jonker, H.H.; Tikunov, Y.M.; Lommen, A.; Moco, S.I.A.; Levin, I.
    In:New Phytologist, 166(2), 427 - 438. ISSN 0028-646x.

  • A novel approach for nontargeted data analysis for metabolomics : large-scale profiling of tomato fruit volatiles (2005)

    Authors:Tikunov, Y.M.; Lommen, A.; Vos, de C.H.; Verhoeven, H.A.; Bino, R.J.; Hall, R.D.; Bovy, A.G.
    In:Plant Physiology, 139(3), 1125 - 1137. ISSN 0032-0889.

    Abstract:

    To take full advantage of the power of functional genomics technologies and in particular those for metabolomics, both the analytical approach and the strategy chosen for data analysis need to be as unbiased and comprehensive as possible. Existing approaches to analyze metabolomic data still do not

  • A proposed framework for the description of plant metabolomics experiments and their results (2004)

    Authors:Jenkens, H.; Hardy, N.; Beckmann, M.; Draper, J.; Smith, A.R.; Taylor, J.; Fiehn, O.; Goodacre, R.; Bino, R.J.; Hall, R.D.; Kopka, J.; Lane, G.A.; Lange, B.M.; Liu, J.R.; Mendes, P.; Nikolau, B.J.; Oliver, S.G.; Paton, I.R.; Roessner-Tunali, U.; Saito, K.; Smedsgaard, J.; Sumner, L.W.; Wang, T.; Walsh, S.; Wurtele, E.S.; Kell, D.B.
    In:Nature Biotechnology, 22(12), 1601 - 1606. ISSN 1087-0156.

    Abstract:

    The study of the metabolite complement of biological samples, known as metabolomics, is creating large amounts of data, and support for handling these data sets is required to facilitate meaningful analyses that will answer biological questions. We present a data model for plant metabolomics known a

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