Literature DB >> 26814187

Simultaneous Metabolite, Protein, Lipid Extraction (SIMPLEX): A Combinatorial Multimolecular Omics Approach for Systems Biology.

Cristina Coman1, Fiorella Andrea Solari1, Andreas Hentschel1, Albert Sickmann2, René Peiman Zahedi1, Robert Ahrends3.   

Abstract

Interconnected molecular networks are at the heart of signaling pathways that mediate adaptive plasticity of eukaryotic cells. To gain deeper insights into the underlying molecular mechanisms, a comprehensive and representative analysis demands a deep and parallel coverage of a broad spectrum of molecular species. Therefore, we introduce a simultaneous metabolite, protein, lipid extraction (SIMPLEX) procedure, a novel strategy for the quantitative investigation of lipids, metabolites, and proteins. Compared with unimolecular workflows, SIMPLEX offers a fundamental turn in study design since multiple molecular classes can be accessed in parallel from one sample with equal efficiency and reproducibility. Application of this method in mass-spectrometry-based workflows allowed the simultaneous quantification of 360 lipids, 75 metabolites, and 3327 proteins from 10(6)cells. The versatility of this method is shown in a model system for adipogenesis- peroxisomal proliferator-activated receptor gamma (PPARG) signaling in mesenchymal stem cells-where we utilized SIMPLEX to explore cross-talk within and between all three molecular classes and identified novel potential molecular entry points for interventions, indicating that SIMPLEX provides a superior strategy compared with conventional workflows.
© 2016 by The American Society for Biochemistry and Molecular Biology, Inc.

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Year:  2016        PMID: 26814187      PMCID: PMC4824867          DOI: 10.1074/mcp.M115.053702

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  66 in total

1.  Characterization of OP9 as authentic mesenchymal stem cell line.

Authors:  Jiao Gao; Xin-Long Yan; Ren Li; Yi Liu; Wenyan He; Shengkun Sun; Yu Zhang; Bing Liu; Jiaxiang Xiong; Ning Mao
Journal:  J Genet Genomics       Date:  2010-07       Impact factor: 4.275

2.  Universal sample preparation method for proteome analysis.

Authors:  Jacek R Wiśniewski; Alexandre Zougman; Nagarjuna Nagaraj; Matthias Mann
Journal:  Nat Methods       Date:  2009-04-19       Impact factor: 28.547

3.  SearchGUI: An open-source graphical user interface for simultaneous OMSSA and X!Tandem searches.

Authors:  Marc Vaudel; Harald Barsnes; Frode S Berven; Albert Sickmann; Lennart Martens
Journal:  Proteomics       Date:  2011-01-31       Impact factor: 3.984

4.  Global quantification of mammalian gene expression control.

Authors:  Björn Schwanhäusser; Dorothea Busse; Na Li; Gunnar Dittmar; Johannes Schuchhardt; Jana Wolf; Wei Chen; Matthias Selbach
Journal:  Nature       Date:  2011-05-19       Impact factor: 49.962

Review 5.  Adipokines in inflammation and metabolic disease.

Authors:  Noriyuki Ouchi; Jennifer L Parker; Jesse J Lugus; Kenneth Walsh
Journal:  Nat Rev Immunol       Date:  2011-01-21       Impact factor: 53.106

6.  Comparative epigenomic analysis of murine and human adipogenesis.

Authors:  Tarjei S Mikkelsen; Zhao Xu; Xiaolan Zhang; Li Wang; Jeffrey M Gimble; Eric S Lander; Evan D Rosen
Journal:  Cell       Date:  2010-10-01       Impact factor: 41.582

7.  Metabolic phenotyping of a model of adipocyte differentiation.

Authors:  Lee D Roberts; Sam Virtue; Antonio Vidal-Puig; Andrew W Nicholls; Julian L Griffin
Journal:  Physiol Genomics       Date:  2009-07-14       Impact factor: 3.107

8.  Absolute metabolite concentrations and implied enzyme active site occupancy in Escherichia coli.

Authors:  Bryson D Bennett; Elizabeth H Kimball; Melissa Gao; Robin Osterhout; Stephen J Van Dien; Joshua D Rabinowitz
Journal:  Nat Chem Biol       Date:  2009-06-28       Impact factor: 15.040

9.  Metabolomics reveals metabolic biomarkers of Crohn's disease.

Authors:  Janet Jansson; Ben Willing; Marianna Lucio; Ages Fekete; Johan Dicksved; Jonas Halfvarson; Curt Tysk; Philippe Schmitt-Kopplin
Journal:  PLoS One       Date:  2009-07-28       Impact factor: 3.240

Review 10.  Biochemistry, physiology, and genetics of GPAT, AGPAT, and lipin enzymes in triglyceride synthesis.

Authors:  Kazuharu Takeuchi; Karen Reue
Journal:  Am J Physiol Endocrinol Metab       Date:  2009-03-31       Impact factor: 4.310

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  22 in total

1.  Simple, scalable, and ultrasensitive tip-based identification of protease substrates.

Authors:  Gerta Shema; Minh T N Nguyen; Fiorella A Solari; Stefan Loroch; A Saskia Venne; Laxmikanth Kollipara; Albert Sickmann; Steven H L Verhelst; René P Zahedi
Journal:  Mol Cell Proteomics       Date:  2018-01-22       Impact factor: 5.911

2.  Green Chemistry Preservation and Extraction of Biospecimens for Multi-omic Analyses.

Authors:  Andrey P Tikunov; Jeremiah D Tipton; Timothy J Garrett; Sachi V Shinde; Hong Jin Kim; David A Gerber; Laura E Herring; Lee M Graves; Jeffrey M Macdonald
Journal:  Methods Mol Biol       Date:  2022

3.  Multiomics Method Enabled by Sequential Metabolomics and Proteomics for Human Pluripotent Stem-Cell-Derived Cardiomyocytes.

Authors:  Elizabeth F Bayne; Aaron D Simmons; David S Roberts; Yanlong Zhu; Timothy J Aballo; Benjamin Wancewicz; Sean P Palecek; Ying Ge
Journal:  J Proteome Res       Date:  2021-09-09       Impact factor: 5.370

4.  Noninvasive Intravascular Microtransfusion in Colonial Tunicates.

Authors:  Lluìs Albert Matas Serrato; Alessandro Bilella; Simon Blanchoud
Journal:  Methods Mol Biol       Date:  2022

Review 5.  Omics Approaches for Understanding Biogenesis, Composition and Functions of Fungal Extracellular Vesicles.

Authors:  Daniel Zamith-Miranda; Roberta Peres da Silva; Sneha P Couvillion; Erin L Bredeweg; Meagan C Burnet; Carolina Coelho; Emma Camacho; Leonardo Nimrichter; Rosana Puccia; Igor C Almeida; Arturo Casadevall; Marcio L Rodrigues; Lysangela R Alves; Joshua D Nosanchuk; Ernesto S Nakayasu
Journal:  Front Genet       Date:  2021-05-03       Impact factor: 4.599

Review 6.  Lipidomics-Reshaping the Analysis and Perception of Type 2 Diabetes.

Authors:  Daniel F Markgraf; Hadi Al-Hasani; Stefan Lehr
Journal:  Int J Mol Sci       Date:  2016-11-04       Impact factor: 5.923

Review 7.  A Perspective on Extracellular Vesicles Proteomics.

Authors:  Livia Rosa-Fernandes; Victória Bombarda Rocha; Victor Corasolla Carregari; Andrea Urbani; Giuseppe Palmisano
Journal:  Front Chem       Date:  2017-11-21       Impact factor: 5.221

Review 8.  A Golden Age for Working with Public Proteomics Data.

Authors:  Lennart Martens; Juan Antonio Vizcaíno
Journal:  Trends Biochem Sci       Date:  2017-01-22       Impact factor: 13.807

9.  A novel physiological role for cardiac myoglobin in lipid metabolism.

Authors:  Ulrike B Hendgen-Cotta; Sonja Esfeld; Cristina Coman; Robert Ahrends; Ludger Klein-Hitpass; Ulrich Flögel; Tienush Rassaf; Matthias Totzeck
Journal:  Sci Rep       Date:  2017-02-23       Impact factor: 4.379

10.  Multi-Omic Single-Shot Technology for Integrated Proteome and Lipidome Analysis.

Authors:  Yuchen He; Edrees H Rashan; Vanessa Linke; Evgenia Shishkova; Alexander S Hebert; Adam Jochem; Michael S Westphall; David J Pagliarini; Katherine A Overmyer; Joshua J Coon
Journal:  Anal Chem       Date:  2021-02-22       Impact factor: 6.986

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