Literature DB >> 17230580

Comparison of sampling techniques for parallel analysis of transcript and metabolite levels in Saccharomyces cerevisiae.

Ana Margarida Martins1, Wei Sha, Clive Evans, Susan Martino-Catt, Pedro Mendes, Vladimir Shulaev.   

Abstract

Mathematical modelling of cellular processes is crucial for the understanding of the cell or organism as a whole. Genome-wide observations, at the levels of the transcriptome, proteome and metabolome, provide a high coverage of the molecular constituents of the system in study. Time-course experiments are important for gaining insight into a system's dynamics and are needed for mathematical modelling. In time-course experiments it is crucial to use efficient and fast sampling techniques. We evaluated several techniques to sample and process yeast cultures for parallel analysis of the transcriptome and metabolome. The evaluation was made by measuring the quality of the RNA obtained with UV-spectroscopy, capillary electrophoresis and microarray hybridization. The protocol developed involves rapid collection by spraying the sample into -40 degrees C tricine-buffered methanol (as previously described for yeast metabolome analysis), followed by the separation of cells from the culture medium in low-temperature rapid centrifugation. Removal of the residual methanol is carried out by freeze-drying the pellet at -35 degrees C. RNA and metabolites can then be extracted from the same freeze-dried sample obtained with this procedure.

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Year:  2007        PMID: 17230580     DOI: 10.1002/yea.1442

Source DB:  PubMed          Journal:  Yeast        ISSN: 0749-503X            Impact factor:   3.239


  6 in total

1.  Evaluation of metabolome sample preparation and extraction methodologies for oleaginous filamentous fungi Mortierella alpina.

Authors:  Hengqian Lu; Haiqin Chen; Xin Tang; Qin Yang; Hao Zhang; Yong Q Chen; Wei Chen
Journal:  Metabolomics       Date:  2019-03-21       Impact factor: 4.290

2.  An Arabidopsis gene network based on the graphical Gaussian model.

Authors:  Shisong Ma; Qingqiu Gong; Hans J Bohnert
Journal:  Genome Res       Date:  2007-10-05       Impact factor: 9.043

3.  A model of yeast glycolysis based on a consistent kinetic characterisation of all its enzymes.

Authors:  Kieran Smallbone; Hanan L Messiha; Kathleen M Carroll; Catherine L Winder; Naglis Malys; Warwick B Dunn; Ettore Murabito; Neil Swainston; Joseph O Dada; Farid Khan; Pınar Pir; Evangelos Simeonidis; Irena Spasić; Jill Wishart; Dieter Weichart; Neil W Hayes; Daniel Jameson; David S Broomhead; Stephen G Oliver; Simon J Gaskell; John E G McCarthy; Norman W Paton; Hans V Westerhoff; Douglas B Kell; Pedro Mendes
Journal:  FEBS Lett       Date:  2013-07-04       Impact factor: 4.124

4.  The genome-wide early temporal response of Saccharomyces cerevisiae to oxidative stress induced by cumene hydroperoxide.

Authors:  Wei Sha; Ana M Martins; Reinhard Laubenbacher; Pedro Mendes; Vladimir Shulaev
Journal:  PLoS One       Date:  2013-09-20       Impact factor: 3.240

5.  Global LC/MS Metabolomics Profiling of Calcium Stressed and Immunosuppressant Drug Treated Saccharomyces cerevisiae.

Authors:  Stefan Jenkins; Steven M Fischer; Lily Chen; Theodore R Sana
Journal:  Metabolites       Date:  2013-12-06

6.  High quality metabolomic data for Chlamydomonas reinhardtii.

Authors:  Do Yup Lee; Oliver Fiehn
Journal:  Plant Methods       Date:  2008-04-28       Impact factor: 4.993

  6 in total

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