English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

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

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0004-7EBE-A Version Permalink: http://hdl.handle.net/21.11116/0000-0004-7EBF-9
Genre: Film

Files

show Files

Locators

show

Creators

show
hide
 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              

Content

show
hide
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.

Details

show
hide
Language(s): eng - English
 Dates: 2019
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Journal of Visualized Experiments
  Other : Journal of Visualized Experiments: JoVE
  Abbreviation : J. Vis. Exp.
Source Genre: Journal
 Creator(s):
Affiliations:
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