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  A Multi-Omics Extraction Method for the In-Depth Analysis of Synchronized Cultures of the Green Alga Chlamydomonas reinhardtii

Mubeen, U., Giraldi, L., Jueppner, J., & Giavalisco, P. (2019). A Multi-Omics Extraction Method for the In-Depth Analysis of Synchronized Cultures of the Green Alga Chlamydomonas reinhardtii. Journal of Visualized Experiments, (150): e59547.

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 Creators:
Mubeen, U.1, Author           
Giraldi, L.A.1, Author           
Jueppner, J.2, Author           
Giavalisco, P.2, Author           
Affiliations:
1Metabolic Regulation of Plant Growth, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_2497693              
2Experimental Systems Biology, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753342              

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Free keywords: Developmental Biology, lipidomics, metabolomics, proteomics, starch, systems biology, liquid-liquid extraction, synchronized <em>Chlamydomonas reinhardtii</em> cultures, diurnal analysis
 Abstract: Microalgae have been the focus of research for their applications in the production of high value compounds, food and fuel. Moreover, they are valuable photosynthetic models facilitating the understanding of the basic cellular processes. System wide studies enable comprehensive and in-depth understanding of molecular functions of the organisms. However, multiple independent samples and protocols are required for proteomics, lipidomics and metabolomics studies introducing higher error and variability. A robust high throughput extraction method for the simultaneous extraction of chlorophyll, lipids, metabolites, proteins and starch from a single sample of the green alga Chlamydomonas reinhardtii is presented here. The illustrated experimental setup is for Chlamydomonas cultures synchronized using 12 h/12 h light/dark conditions. Samples were collected over a 24 h cell cycle to demonstrate that the metabolites, lipids and starch data obtained using various analytical platforms are well conformed. Furthermore, protein samples collected using the same extraction protocol were used to conduct detailed proteomics analysis to evaluate their quality and reproducibility. Based on the data, it can be inferred that the illustrated method provides a robust and reproducible approach to advance understanding of various biochemical pathways and their functions with greater confidence for both basic and applied research.

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Language(s): eng - English
 Dates: 2019
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: Journal of Visualized Experiments
  Other : Journal of Visualized Experiments: JoVE
  Abbreviation : J. Vis. Exp.
Source Genre: Journal
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Publ. Info: Rockville Pike, Bethesda MD : JoVE
Pages: - Volume / Issue: (150) Sequence Number: e59547 Start / End Page: - Identifier: ISSN: 1940-087X
CoNE: https://pure.mpg.de/cone/journals/resource/1940087X