<ol>
	<li>Alexandersson, E., Saalbach, G., Larsson, C., Kjellbom, P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Arabidopsis+plasma+membrane+proteomics+identifies+components+of+transport,+signal+transduction+and+membrane+trafficking.">Arabidopsis plasma membrane proteomics identifies components of transport, signal transduction and membrane trafficking.</a> Plant Cell Physiol. 45, 1543-1556 (2004).</li><li>Brown, D. A., Rose, J. K. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Sorting+of+GPI-anchored+proteins+to+glycolipid-enriched+membrane+subdomains+during+transport+to+the+apical+cell+surface.">Sorting of GPI-anchored proteins to glycolipid-enriched membrane subdomains during transport to the apical cell surface.</a> Cell. 68, 533-544 (1992).</li><li>Lanquar, V., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=15N-metabolic+labeling+for+comparative+plasma+membrane+proteomics+in+Arabidopsis+cells.">15N-metabolic labeling for comparative plasma membrane proteomics in Arabidopsis cells.</a> Proteomics. 7, 750-754 (2007).</li><li>Kierszniowska, S., Walther, D., Schulze, W. X. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Ratio-dependent+significance+thresholds+in+reciprocal+15N-labeling+experiments+as+a+robust+tool+in+detection+candidate+proteins+responding+to+biological+treatment.">Ratio-dependent significance thresholds in reciprocal 15N-labeling experiments as a robust tool in detection candidate proteins responding to biological treatment.</a> Proteomics. 9, 1916-1924 (2009).</li><li>Singer, S. J., Nicolson, G. L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+fluid+mosaic+model+of+the+structure+of+cell+membranes.">The fluid mosaic model of the structure of cell membranes.</a> Science. 175, 720-731 (1972).</li><li>Simons, K., Ikonen, E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Functional+rafts+in+cell+membranes.">Functional rafts in cell membranes.</a> Nature. 387, 569-5672 (1997).</li><li>Baumgart, T., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Large-scale+fluid/fluid+phase+separation+of+proteins+and+lipids+in+giant+plasma+membrane+vesicles.">Large-scale fluid/fluid phase separation of proteins and lipids in giant plasma membrane vesicles.</a> Proc. Natl. Acad. Sci. USA. 104, 3165-3170 (2007).</li><li>Silvius, J. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Partitioning+of+membrane+molecules+between+raft-and+non+raft-domains:+insights+from+model+membrane+studies.">Partitioning of membrane molecules between raft-and non raft-domains: insights from model membrane studies.</a> Biochim. Biophys. Acta. 1746, 193-202 (2005).</li><li>Tanner, W., Malinsky, J., Opekarova, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=In+plant+and+animal+cells,+detergent-resistant+membranes+do+not+define+functional+membrane+rafts.">In plant and animal cells, detergent-resistant membranes do not define functional membrane rafts.</a> Plant Cell. , (2011).</li><li>Lauwers, E., Andre, B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Association+of+yeast+transporters+with+detergent-resistant+membranes+correlates+with+their+cell-surface+location.">Association of yeast transporters with detergent-resistant membranes correlates with their cell-surface location.</a> Traffic. 7, 1-15 (2006).</li><li>Kierszniowska, S., Seiwert, B., Schulze, W. X. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Definition+of+Arabidopsis+sterol-rich+membrane+microdomains+by+differential+treatment+with+methyl-&#223;-cyclodextrin+and+quantitative+proteomics.">Definition of Arabidopsis sterol-rich membrane microdomains by differential treatment with methyl-&#223;-cyclodextrin and quantitative proteomics.</a> Mol. Cell. Proteomics. 8, 612-623 (2009).</li><li>Simons, K., Toomre, D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Lipid+rafts+and+signal+transduction.">Lipid rafts and signal transduction.</a> Nat. Rev. Mol. Cell Biol. 1, 31-39 (2000).</li><li>Maeda, Y., Kinoshita, T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Structural+remodeling,+trafficking+and+functions+of+glycosylphosphatidylinositol-anchored+proteins.">Structural remodeling, trafficking and functions of glycosylphosphatidylinositol-anchored proteins.</a> Prog. Lipid Res. 50, (2011).</li><li>Keinath, N. F., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=PAMP-induced+changes+in+plasma+membrane+compartmentalization+reveal+novel+components+of+plant+immunity.">PAMP-induced changes in plasma membrane compartmentalization reveal novel components of plant immunity.</a> J. Biol. Chem. 285, 39140-39149 (2010).</li><li>Stanislas, T., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Quantitative+proteomics+reveals+a+dynamic+association+of+proteins+to+detergent+resistant+membranes+upon+elicitor+signaling+in+tobacco.">Quantitative proteomics reveals a dynamic association of proteins to detergent resistant membranes upon elicitor signaling in tobacco.</a> Mol. Cell. Proteomics. 8, 2186-2198 (2009).</li><li>Minami, A., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Alterations+in+detergent-resistant+plasma+membrane+microdomains+in+Arabidopsis+thaliana+during+cold+acclimation.">Alterations in detergent-resistant plasma membrane microdomains in Arabidopsis thaliana during cold acclimation.</a> Plant Cell Physiol. 50, 341-359 (2008).</li><li>Pauly, M., Eberhard, S., Albersheim, P., Darvill, A., York, W. S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Effects+of+the+mur1+mutation+on+xyloglucans+produced+by+suspension-cultured+Arabidopsis+thaliana+cells.">Effects of the mur1 mutation on xyloglucans produced by suspension-cultured Arabidopsis thaliana cells.</a> Planta. 214, 67-74 (2001).</li><li>Jouanneau, J. P., Peaud-Lenoel, C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Growth+and+synthesis+of+proteins+in+cell+suspensions+of+a+kinetin+dependent+tobacco.">Growth and synthesis of proteins in cell suspensions of a kinetin dependent tobacco.</a> Physiol. Plant. 20, 834-850 (1967).</li><li>Engelsberger, W. R., Erban, A., Kopka, J., Schulze, W. X. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Metabolic+labeling+of+plant+cell+cultures+with+K15NO3+as+a+tool+for+quantitative+analysis+of+proteins+and+metabolites.">Metabolic labeling of plant cell cultures with K15NO3 as a tool for quantitative analysis of proteins and metabolites.</a> Plant Methods. 2, 1-11 (2006).</li><li>Arsova, B., Kierszniowska, S., Schulze, W. X. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+use+of+heavy+nitrogen+in+quantitative+proteomics+experiments+in+plants.">The use of heavy nitrogen in quantitative proteomics experiments in plants.</a> Trends Plant Sci. 17, 102-112 (2012).</li><li>Rappsilber, J., Ishihama, Y., Mann, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Stop+And+Go+Extraction+tips+for+matrix-assisted+laser+desorption/ionization,+nanoelectrospray,+and+LC/MS+sample+pretreatment+in+proteomics.">Stop And Go Extraction tips for matrix-assisted laser desorption/ionization, nanoelectrospray, and LC/MS sample pretreatment in proteomics.</a> Anal. Chem. 75, 663-670 (2003).</li><li>Olsen, J. V., Macek, B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=High+accuracy+mass+spectrometry+in+large-scale+analysis+of+protein+phosphorylation.">High accuracy mass spectrometry in large-scale analysis of protein phosphorylation.</a> Methods Mol. Biol. 492, 131-142 (2009).</li><li>Schroeder, M. J., Shabanowitz, J., Schwartz, J. C., Hunt, D. F., Coon, J. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+neutral+loss+activation+method+for+improved+phosphopeptide+sequence+analysis+by+quadrupole+ion+trap+mass+spectrometry.">A neutral loss activation method for improved phosphopeptide sequence analysis by quadrupole ion trap mass spectrometry.</a> Anal. Chem. 76, 3590-3598 (2004).</li><li>Frese, C. K., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Improved+peptide+identification+by+targeted+fragmentation+using+CID,+HCD+and+ETD+on+an+LTQ-Orbitrap+Velos.">Improved peptide identification by targeted fragmentation using CID, HCD and ETD on an LTQ-Orbitrap Velos.</a> Journal of Protrome Research. 10, 2377-2388 (2011).</li><li>van Breukelen, B., vanden Toorn, H. W., Drugan, M. M., Heck, A. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=StatQuant:+a+post-quantification+analysis+toolbox+for+improving+quantitative+mass+spectrometry.">StatQuant: a post-quantification analysis toolbox for improving quantitative mass spectrometry.</a> Bioinformatics. 25, 1472-1473 (2009).</li><li>Zauber, H., Schulze, W. X. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Proteomics+wants+cRacker:+Automated+standardized+data+analysis+of+LC/MS+derived+proteomic+data.">Proteomics wants cRacker: Automated standardized data analysis of LC/MS derived proteomic data.</a> J. Proteome Res. 11, 5548-5555 (2012).</li><li>Raffaele, S., Mongrand, S., Gamas, P., Niebel, A., Ott, T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Genome-wide+annotation+of+remorins,+a+plant-specific+protein+family:+Evolutionary+and+functional+perspectives.">Genome-wide annotation of remorins, a plant-specific protein family: Evolutionary and functional perspectives.</a> Plant Physiol. 145, 593-600 (2007).</li><li>Shah, M. B., Sehgal, P. B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Nondetergent+isolation+of+rafts.">Nondetergent isolation of rafts.</a> Methods Mol. Biol. 398, 21-28 (2007).</li><li>Persaud-Sawin, D. -. A., Lightcap, S., Harry, G. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Isolation+of+rafts+from+mouse+brain+tissue+by+a+detergent-free+method.">Isolation of rafts from mouse brain tissue by a detergent-free method.</a> Journal of Lipid Research. 50, 759-767 (2009).</li><li>Macdonald, L. J., Pike, L. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+simplified+method+for+the+preparation+of+detergent-free+lipid+rafts.">A simplified method for the preparation of detergent-free lipid rafts.</a> Journal of Lipid Research. 46, 1061-1067 (2005).</li><li>M&#252;hlhaus, T., Weiss, J., Hemme, D., Sommer, F., Schroda, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Quantitative+shotgun+proteomics+using+a+uniform+15N-labeled+standard+to+monitor+proteome+dynamics+in+time+course+experiments+reveals+new+insights+into+the+heat+stress+response+of+Chlamydomonas+reinhardtii.">Quantitative shotgun proteomics using a uniform 15N-labeled standard to monitor proteome dynamics in time course experiments reveals new insights into the heat stress response of Chlamydomonas reinhardtii.</a> Mol. Cell. Proteomics. 10, M110.004739 (2011).</li><li>Schulze, W., Usadel, B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Quantitation+in+mass-spectrometry-based+proteomics.">Quantitation in mass-spectrometry-based proteomics.</a> Annu. Rev. Plant Biol. 61, 491-516 (2010).</li><li>Foster, L. J., de Hoog, C., Mann, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Unbiased+quantiative+proteomics+of+lipid+rafts+reveales+high+specificity+for+signaling+factors.">Unbiased quantiative proteomics of lipid rafts reveales high specificity for signaling factors.</a> Proc. Natl. Acad. Sci. USA. 100, 5813-5818 (2003).</li><li>Lilley, K. S., Dupree, P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Plant+organelle+proteomics.">Plant organelle proteomics.</a> Curr. Opin. Plant Biol. 10, 594-599 (2007).</li><li>Sadowski, P. G., Groen, A. J., Dupree, P., Lilley, K. S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Sub-cellular+localization+of+membrane+proteins.">Sub-cellular localization of membrane proteins.</a> Proteomics. 8, 3991-4011 (2008).</li></ol>

The authors declare that they have no competing financial interests.
The author, Witold Szymanski, is an employee of the Max Planck Institute of Molecular Plant Physiology. The author, Waltraud Schulze is an employee at the University of Hohenheim, Germany.

The protocol presented in this paper contains many steps and all of them are crucial to obtain pure and representative fractionation of the plant plasma membrane into detergent resistant membranes and detergent soluble fractions. Therefore, it is important to follow each step as instructed.
Treatment of the plasma membrane fraction with non-ionic detergent (step 3.2) has the strongest influence on the quality of membrane microdomain fractionation. To obtain reproducible results between differe...

In 1972, Jonathan Singer and Garth Nicolson proposed the fluid mosaic model a structure model of cellular membranes, replacing the protein-lipid-protein sandwich model that was generally accepted in the early 1960s. Singer and Nicolson postulated that the biological membrane can be considered as a two-dimensional liquid where all lipid and protein molecules diffuse freely and easily 5. Since that time, structure model of the plasma membrane and knowledge of the membrane composition became even more complex. Particularly, within the plasma membrane, structures such as protein complexes and lipid/sterol based structurally disordered microdomains can be observed. In artificial model membranes 6,7, sterols and sphingolipids can laterally segregate from other lipid species to form regions with altered physical features. This segregation within the cellular membrane is mainly caused by the self-associating properties between sterols and highly saturated hydrocarbon chains of phopsho- and sphingolipids 8. Particularly, the rigid sterol rings favor interactions with stiffer and straighter saturated lipid species and these interactions force neighboring hydrocarbon chains into more extended conformations, increasing membrane thickness and hardness.
One of the commonly observed features of sterol enriched membrane microdomains was their insolubility upon treatment with non-ionic detergents such a Triton X-100 or Brij 35. These fractions were thought to be identical with membrane microdomains and were called detergent resistant membranes (DRM) based on their biochemical preparation method 2. The use of nonionic detergents during DRM extraction received some criticism as the biochemical DRM preparation may not directly correspond to any specific membrane compartment within the living cell 9. Particularly, the detergent to protein ratio seems crucial in such preparations, as different detergents, as well as different detergent amounts can yield different composition of the detergent resistant membrane fraction 10. However, there is evidence that particular protein species specifically associate with these cellular sterol-rich membrane domains, and that these proteins are well enriched in biochemical preparations of detergent-resistant membrane fractions 11. The core of proteins that were found in plant DRM fraction, and for which the presence in DRMs was sterol dependent, were particularly GPI-anchored proteins, such as fasciclin-like arabinogalactan proteins (FLAs) and members of the SKU protein family. Also some signaling proteins, such as receptor-like kinases or phospholipases were found 11. These results are consistent with many proteomic studies on mammalian membrane microdomains 12,13. Also in plants there is increasing evidence for the role of membrane microdomains in context of stress response 14-16.
The protocol described here provides a robust method for fractionation of plasma membrane microdomains and particularly uses a protein to detergent concentration that allows us to depict stress induced alterations of the sterol-rich membrane compartment 4,11,14.

<table border="1">
	<tbody>
		<tr>
			<td>&nbsp;</td>
			<td>&nbsp;</td>
			<td>&nbsp;</td>
			<td>REAGENTS </td>
		</tr>
		<tr>
			<td>Chemicals were ordered from Sigma-Aldrich unless noted otherwise</td>
			<td>&nbsp;</td>
			<td>&nbsp;</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>Ammonia (stock 25 % solution)</td>
			<td>WAKO</td>
			<td>010-03166</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>TiO2 10 &mu;m</td>
			<td>GL-Science</td>
			<td>5020-75010</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>Empore Disk C18</td>
			<td>Varian</td>
			<td>12145004</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>Polyethylene glycol(PEG 3350)</td>
			<td>Sigma</td>
			<td>88276</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>Dextran T500</td>
			<td>Roth</td>
			<td>9219.2</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>Trypsin</td>
			<td>Promega</td>
			<td>V5113</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>Protease inhibitor cocktail (PIC)</td>
			<td>Sigma</td>
			<td>P9599</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>K15NO3</td>
			<td>Cambridge Isotope Laboratories</td>
			<td>NLM-765-PK</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>&nbsp;</td>
			<td>&nbsp;</td>
			<td>&nbsp;</td>
			<td>EQUIPMENT </td>
		</tr>
		<tr>
			<td>Optima L-80 XP Ultracentrifuge</td>
			<td>Beckman</td>
			<td>&nbsp;</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>Plate reader</td>
			<td>BioTek</td>
			<td>&nbsp;</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>EASY-nLC II nano-Liquid Chromatograph</td>
			<td>Thermo Scientific</td>
			<td>&nbsp;</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>LTQ-Orbitrap mass spectrometer</td>
			<td>Thermo Scientific</td>
			<td>&nbsp;</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>Centrifuge 5810R</td>
			<td>Eppendorf</td>
			<td>&nbsp;</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>Centrifuge 5417R</td>
			<td>Eppendorf</td>
			<td>&nbsp;</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>Thermomixer</td>
			<td>Eppendorf</td>
			<td>&nbsp;</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>Speed Vac RVC 2-25</td>
			<td>Christ</td>
			<td>&nbsp;</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>Shaker Unimax 2010</td>
			<td>Heidolph</td>
			<td>&nbsp;</td>
			<td>&nbsp;</td>
		</tr>
	</tbody>
</table>

metabolic labeling and membrane fractionation for comparative proteomic analysis of arabidopsis thaliana suspension cell cultures

Plasma membrane microdomains are features based on the physical properties of the lipid and sterol environment and have particular roles in signaling processes. Extracting sterol-enriched membrane microdomains from plant cells for proteomic analysis is a difficult task mainly due to multiple preparation steps and sources for contaminations from other cellular compartments. The plasma membrane constitutes only about 5-20% of all the membranes in a plant cell, and therefore isolation of highly purified plasma membrane fraction is challenging. A frequently used method involves aqueous two-phase partitioning in polyethylene glycol and dextran, which yields plasma membrane vesicles with a purity of 95% 1. Sterol-rich membrane microdomains within the plasma membrane are insoluble upon treatment with cold nonionic detergents at alkaline pH. This detergent-resistant membrane fraction can be separated from the bulk plasma membrane by ultracentrifugation in a sucrose gradient 2. Subsequently, proteins can be extracted from the low density band of the sucrose gradient by methanol/chloroform precipitation. Extracted protein will then be trypsin digested, desalted and finally analyzed by LC-MS/MS. Our extraction protocol for sterol-rich microdomains is optimized for the preparation of clean detergent-resistant membrane fractions from Arabidopsis thaliana cell cultures.
We use full metabolic labeling of Arabidopsis thaliana suspension cell cultures with K15NO3 as the only nitrogen source for quantitative comparative proteomic studies following biological treatment of interest 3. By mixing equal ratios of labeled and unlabeled cell cultures for joint protein extraction the influence of preparation steps on final quantitative result is kept at a minimum. Also loss of material during extraction will affect both control and treatment samples in the same way, and therefore the ratio of light and heave peptide will remain constant. In the proposed method either labeled or unlabeled cell culture undergoes a biological treatment, while the other serves as control 4.

With the presented protocol using metabolically labeled Arabidopsis cell cultures it is possible to isolate plasma membranes from plant tissue (step2, Figures 2 and 4), and enrich for detergent resistant membrane fractions within the plasma membrane (step 3, Figures 3 and 5). Subsequently, the protocol allows extraction of proteins from these detergent resistant membrane fractions (step 4) and digestion of the protein for comparative proteomic analysis (step 5). Finally, the opt...

Watch this Scientific Journal Video about Metabolic Labeling and Membrane Fractionation for Comparative Proteomic Analysis of Arabidopsis thaliana Suspension Cell Cultures at JoVE.com

Metabolic Labeling and Membrane Fractionation for Comparative Proteomic Analysis of Arabidopsis thaliana Suspension Cell Cultures

Here we describe a robust method for the fractionation of plant plasma membranes into detergent resistant and detergent soluble membranes based on a mixture of unlabeled and in vivo fully 15N labeled Arabidopsis thaliana cell cultures. The procedure is applied for comparative proteomic studies to understand signaling processes.

Metabolic Labeling and Membrane Fractionation for Comparative Proteomic Analysis of Arabidopsis thaliana Suspension Cell Cultures

Plasma membrane microdomains are features based on the physical properties of the lipid and sterol environment and have particular roles in signaling ...

metabolic-labeling-membrane-fractionation-for-comparative-proteomic

Research

JoVE Journal

Biology

14.0K Görüntüleme.  Max Plank Institute of Molecular Plant Physiology.  Burada tam 15 N etiketli Arabidopsis thaliana hücre kültürleri etiketlenmemiş bir karışımına dayanan deterjan dayanıklı ve deterjan çözünür membran içine bitki plazma zarlarının parçalanması için ve in vivo güçlü bir yöntem açıklanmaktadır. Prosedür sinyal süreçleri anlamak için karşılaştırmalı proteomik çalışmalar için uygulanır. 

Video: Metabolic Labeling and Membrane Fractionation for Comparative Proteomic Analysis of Arabidopsis thaliana Suspension Cell Cultures

Toxin Induction and Protein Extraction from Fusarium spp. Cultures for Proteomic Studies

Fusaria are filamentous fungi able to produce different toxins. Fusarium mycotoxins such as deoxynivalenol, nivalenol, T2, zearelenone, fusaric acid, moniliformin, etc... have adverse effects on both human and animal health and some are considered as pathogenicity factors. Proteomic studies showed to be effective for deciphering toxin production mechanisms (Taylor et al., 2008) as well as for identifying potential pathogenic factors (Paper et al., 2007, Houterman et al., 2007) in Fusaria. It becomes therefore fundamental to establish reliable methods for comparing between proteomic studies in order to rely on true differences found in protein expression among experiments, strains and laboratories. The procedure that will be described should contribute to an increased level of standardization of proteomic procedures by two ways. The filmed protocol is used to increase the level of details that can be described precisely. Moreover, the availability of standardized procedures to process biological replicates should guarantee a higher robustness of data, taking into account also the human factor within the technical reproducibility of the extraction procedure.
The protocol described requires 16 days for its completion: fourteen days for cultures and two days for protein extraction (figure 1). 
Briefly, Fusarium strains are grown on solid media for 4 days; they are then manually fragmented and transferred into a modified toxin inducing media (Jiao et al., 2008) for 10 days. Mycelium is collected by filtration through a Miracloth layer. Grinding is performed in a cold chamber. Different operators performed extraction replicates (n=3) in order to take into account the bias due to technical variations (figure 2). Extraction was based on a SDS/DTT buffer as described in Taylor et al. (2008) with slight modifications. Total protein extraction required a precipitation process of the proteins using Aceton/TCA/DTT buffer overnight and Acetone /DTT washing (figure 3a,3b). Proteins were finally resolubilized in the protein-labelling buffer and quantified. Results of the extraction were visualized on a 1D gel (Figure 4, SDS-PAGE), before proceeding to 2D gels (IEF/SDS-PAGE). The same procedure can be applied for proteomic analyses on other growing media and other filamentous fungi (Miles et al., 2007).

Toxin Induction and Protein Extraction from Fusarium spp. Cultures for Proteomic Studies

Protein extraction for proteomic analyses in fungal species requires high levels of standardization to be accomplished according with the minimum information about a proteomic experiment (MIAPE) guidelines. We present a video-protocol that includes a procedure for minimizing experimental bias during toxin induction and protein extraction from Fusarium spp.

Fusaria are filamentous fungi able to produce different toxins. Fusarium mycotoxins such as deoxynivalenol, nivalenol, T2, zearelenone, fusaric acid, ...

Floral-dip Transformation of Arabidopsis thaliana to Examine pTSO2::&beta;-glucuronidase Reporter Gene Expression

The ability to introduce foreign genes into an organism is the foundation for modern biology and biotechnology. In the model flowering plant Arabidopsis thaliana, the floral-dip transformation method1-2 has replaced all previous methods because of its simplicity, efficiency, and low cost. Specifically, shoots of young flowering Arabidopsis plants are dipped in a solution of Agrobacterium tumefaciens carrying specific plasmid constructs. After dipping, the plants are returned to normal growth and yield seeds, a small percentage of which are transformed with the foreign gene and can be selected for on medium containing antibiotics. This floral-dip method significantly facilitated Arabidopsis research and contributed greatly to our understanding of plant gene function. In this study, we use the floral-dip method to transform a reporter gene, &beta;-glucuronidase (GUS), under the control of TSO2 promoter. TSO2, coding for the Ribonucleotide Reductase (RNR) small subunit3, is a cell cycle regulated gene essential for dNDP biosynthesis in the S-phase of the cell cycle. Examination of GUS expression in transgenic Arabidopsis seedlings shows that TSO2 is expressed in actively dividing tissues. The reported experimental method and materials can be easily adapted not only for research but also for education at high school and college levels.

Floral-dip Transformation of Arabidopsis thaliana to Examine pTSO2::&amp;#946;-glucuronidase Reporter Gene Expression

This article illustrates the floral-dip method of Agrobacterium tumefaciens -mediated transformation of Arabidopsis thaliana. By introducing a cell-cycle regulated promoter-reporter, pTSO2::&beta;-glucuronidase (GUS), into Arabidopsis, we illustrates how one detects GUS reporter expression in transgenic seedlings.

The ability to introduce foreign genes into an organism is the foundation for modern biology and biotechnology. In the model flowering plant Arabidopsis ...

Measuring Cell Cycle Progression Kinetics with Metabolic Labeling and Flow Cytometry

Precise control of the initiation and subsequent progression through the various phases of the cell cycle are of paramount importance in proliferating cells. Cell cycle division is an integral part of growth and reproduction and deregulation of key cell cycle components have been implicated in the precipitating events of carcinogenesis 1,2. Molecular agents in anti-cancer therapies frequently target biological pathways responsible for the regulation and coordination of cell cycle division 3. Although cell cycle kinetics tend to vary according to cell type, the distribution of cells amongst the four stages of the cell cycle is rather consistent within a particular cell line due to the consistent pattern of mitogen and growth factor expression. Genotoxic events and other cellular stressors can result in a temporary block of cell cycle progression, resulting in arrest or a temporary pause in a particular cell cycle phase to allow for instigation of the appropriate response mechanism. 
The ability to experimentally observe the behavior of a cell population with reference to their cell cycle progression stage is an important advance in cell biology. Common procedures such as mitotic shake off, differential centrifugation or flow cytometry-based sorting are used to isolate cells at specific stages of the cell cycle 4-6. These fractionated, cell cycle phase-enriched populations are then subjected to experimental treatments. Yield, purity and viability of the separated fractions can often be compromised using these physical separation methods. As well, the time lapse between separation of the cell populations and the start of experimental treatment, whereby the fractionated cells can progress from the selected cell cycle stage, can pose significant challenges in the successful implementation and interpretation of these experiments.
Other approaches to study cell cycle stages include the use of chemicals to synchronize cells. Treatment of cells with chemical inhibitors of key metabolic processes for each cell cycle stage are useful in blocking the progression of the cell cycle to the next stage. For example, the ribonucleotide reductase inhibitor hydroxyurea halts cells at the G1/S juncture by limiting the supply of deoxynucleotides, the building blocks of DNA. Other notable chemicals include treatment with aphidicolin, a polymerase alpha inhibitor for G1 arrest, treatment with colchicine and nocodazole, both of which interfere with mitotic spindle formation to halt cells in M phase and finally, treatment with the DNA chain terminator 5-fluorodeoxyridine to initiate S phase arrest 7-9. Treatment with these chemicals is an effective means of synchronizing an entire population of cells at a particular phase. With removal of the chemical, cells rejoin the cell cycle in unison. Treatment of the test agent following release from the cell cycle blocking chemical ensures that the drug response elicited is from a uniform, cell cycle stage-specific population. However, since many of the chemical synchronizers are known genotoxic compounds, teasing apart the participation of various response pathways (to the synchronizers vs. the test agents) is challenging. 
Here we describe a metabolic labeling method for following a subpopulation of actively cycling cells through their progression from the DNA replication phase, through to the division and separation of their daughter cells. Coupled with flow cytometry quantification, this protocol enables for measurement of kinetic progression of the cell cycle in the absence of either mechanically- or chemically- induced cellular stresses commonly associated with other cell cycle synchronization methodologies 10. In the following sections we will discuss the methodology, as well as some of its applications in biomedical research.

Tracking subtle changes in the progression and kinetics of cell cycle stages can be accomplished by use of a combination of metabolic labeling of nucleic acids with BrdU and total genomic DNA staining via Propidium Iodide. This method avoids the need of chemical synchronization of cycling cells, thereby preventing the introduction of non-specific DNA damage, which in turn affects cell cycle progression.

Precise control of the initiation and subsequent progression through the various phases of the cell cycle are of paramount importance in proliferating ...

Metabolic Labeling of Leucine Rich Repeat Kinases 1 and 2 with Radioactive Phosphate

Leucine rich repeat kinases 1 and 2 (LRRK1 and LRRK2) are paralogs which share a similar domain organization, including a serine-threonine kinase domain, a Ras of complex proteins domain (ROC), a C-terminal of ROC domain (COR), and leucine-rich and ankyrin-like repeats at the N-terminus. The precise cellular roles of LRRK1 and LRRK2 have yet to be elucidated, however LRRK1 has been implicated in tyrosine kinase receptor signaling1,2, while LRRK2 is implicated in the pathogenesis of Parkinson's disease3,4. In this report, we present a protocol to label the LRRK1 and LRRK2 proteins in cells with 32P orthophosphate, thereby providing a means to measure the overall phosphorylation levels of these 2 proteins in cells. In brief, affinity tagged LRRK proteins are expressed in HEK293T cells which are exposed to medium containing 32P-orthophosphate. The 32P-orthophosphate is assimilated by the cells after only a few hours of incubation and all molecules in the cell containing phosphates are thereby radioactively labeled. Via the affinity tag (3xflag) the LRRK proteins are isolated from other cellular components by immunoprecipitation. Immunoprecipitates are then separated via SDS-PAGE, blotted to PVDF membranes and analysis of the incorporated phosphates is performed by autoradiography (32P signal) and western detection (protein signal) of the proteins on the blots. The protocol can readily be adapted to monitor phosphorylation of any other protein that can be expressed in cells and isolated by immunoprecipitation.

Leucine rich repeat kinases 1 and 2 (LRRK1 and LRRK2) are multidomain proteins which encode both GTPase and kinase domains and which are phosphorylated in cells. Here, we present a protocol to label LRRK1 and LRRK2 in cells with 32P orthophosphate, thereby providing a means to measure their overall cellular phophorylation levels.

Leucine rich repeat kinases 1 and 2 (LRRK1 and LRRK2) are paralogs which share a similar domain organization, including a serine-threonine kinase domain, ...

A New Approach for the Comparative Analysis of Multiprotein Complexes Based on 15N Metabolic Labeling and Quantitative Mass Spectrometry

The introduced protocol provides a tool for the analysis of multiprotein complexes in the thylakoid membrane, by revealing insights into complex composition under different conditions. In this protocol the approach is demonstrated by comparing the composition of the protein complex responsible for cyclic electron flow (CEF) in Chlamydomonas reinhardtii, isolated from genetically different strains. The procedure comprises the isolation of thylakoid membranes, followed by their separation into multiprotein complexes by sucrose density gradient centrifugation, SDS-PAGE, immunodetection and comparative, quantitative mass spectrometry (MS) based on differential metabolic labeling (14N/15N) of the analyzed strains. Detergent solubilized thylakoid membranes are loaded on sucrose density gradients at equal chlorophyll concentration. After ultracentrifugation, the gradients are separated into fractions, which are analyzed by mass-spectrometry based on equal volume. This approach allows the investigation of the composition within the gradient fractions and moreover to analyze the migration behavior of different proteins, especially focusing on ANR1, CAS, and PGRL1. Furthermore, this method is demonstrated by confirming the results with immunoblotting and additionally by supporting the findings from previous studies (the identification and PSI-dependent migration of proteins that were previously described to be part of the CEF-supercomplex such as PGRL1, FNR, and cyt f). Notably, this approach is applicable to address a broad range of questions for which this protocol can be adopted and e.g. used for comparative analyses of multiprotein complex composition isolated from distinct environmental conditions.

A New Approach for the Comparative Analysis of Multiprotein Complexes Based on 15N Metabolic Labeling and Quantitative Mass Spectrometry

The described comparative, quantitative proteomic approach aims at obtaining insights into the composition of multiprotein complexes&#160;under different conditions and is demonstrated by comparing genetically different strains. For quantitative analysis equal volumes of different fractions from a sucrose density gradient are mixed and analyzed by mass spectrometry.

The introduced protocol provides a tool for the analysis of multiprotein complexes in the thylakoid membrane, by revealing insights into complex ...

Histochemical Staining of Arabidopsis thaliana Secondary Cell Wall Elements

Arabidopsis thaliana is a model organism commonly used to understand and manipulate various cellular processes in plants, and it has been used extensively in the study of secondary cell wall formation. Secondary cell wall deposition occurs after the primary cell wall is laid down, a process carried out exclusively by specialized cells such as those forming vessel and fiber tissues. Most secondary cell walls are composed of cellulose (40&#8211;50%), hemicellulose (25&#8211;30%), and lignin (20&#8211;30%). Several mutations affecting secondary cell wall biosynthesis have been isolated, and the corresponding mutants may or may not exhibit obvious biochemical composition changes or visual phenotypes since these mutations could be masked by compensatory responses. Staining procedures have historically been used to show differences on a cellular basis. These methods are exclusively visual means of analysis; nevertheless their role in rapid and critical analysis is of great importance. Congo red and calcofluor white are stains used to detect polysaccharides, whereas M&#228;ule and phloroglucinol are commonly used to determine differences in lignin, and toluidine blue O is used to differentially stain polysaccharides and lignin. The seemingly simple techniques of sectioning, staining, and imaging can be a challenge for beginners. Starting with sample preparation using the A. thaliana model, this study details the protocols of a variety of staining methodologies that can be easily implemented for observation of cell and tissue organization in secondary cell walls of plants.

Histochemical Staining of Arabidopsis thaliana Secondary Cell Wall Elements

Plant cell wall composition varies between tissue types and can include lignin, cellulose, hemicelluloses, and pectin. Various staining techniques have been developed to visualize differences at the cell-type level. This paper is a compilation of commonly used cell wall staining techniques.

Arabidopsis thaliana is a model organism commonly used to understand and manipulate various cellular processes in plants, and it has been used extensively ...

Real Time Analysis of Metabolic Profile in Ex Vivo Mouse Intestinal Crypt Organoid Cultures

The small intestinal mucosa exhibits a repetitive architecture organized into two fundamental structures: villi, projecting into the intestinal lumen and composed of mature enterocytes, goblet cells and enteroendocrine cells; and crypts, residing proximal to the submucosa and the muscularis, harboring adult stem and progenitor cells and mature Paneth cells, as well as stromal and immune cells of the crypt microenvironment. Until the last few years, in vitro studies of small intestine was limited to cell lines derived from either benign or malignant tumors, and did not represent the physiology of normal intestinal epithelia and the influence of the microenvironment in which they reside. Here, we demonstrate a method adapted from Sato et al. (2009) for culturing primary mouse intestinal crypt organoids derived from C57BL/6 mice. In addition, we present the use of crypt organoid cultures to assay the crypt metabolic profile in real time by measurement of basal oxygen consumption, glycolytic rate, ATP production and respiratory capacity. Organoids maintain properties defined by their source and retain aspects of their metabolic adaptation reflected by oxygen consumption and extracellular acidification rates. Real time metabolic studies in this crypt organoid culture system are a powerful tool to study crypt organoid energy metabolism, and how it can be modulated by nutritional and pharmacological factors.

Real Time Analysis of Metabolic Profile in Ex Vivo Mouse Intestinal Crypt Organoid Cultures

Small intestinal crypt organoids cultured ex vivo provide a tissue culture system that recapitulates growth of crypts dependent on stem cells and their niche. We established a method to assay the metabolic profile in real time in primary mouse crypt organoids. We found organoids maintain physiological properties defined by their source.

The small intestinal mucosa exhibits a repetitive architecture organized into two fundamental structures: villi, projecting into the intestinal lumen and ...

Mixed Primary Cultures of Murine Small Intestine Intended for the Study of Gut Hormone Secretion and Live Cell Imaging of Enteroendocrine Cells

The gut is the largest endocrine organ of the body, with hormone-secreting enteroendocrine cells located along the length of the gastrointestinal epithelium. Despite their physiological importance, enteroendocrine cells represent only a small fraction of the epithelial cell population and in the past, their characterization has presented a considerable challenge resulting in a reliance on cell line models. Here, we provide a detailed protocol for the isolation and culture of mixed murine small intestinal cells. These primary cultures have been used to identify the signaling pathways underlying the stimulation and inhibition of gut peptide secretion in response to a number of nutrients and neuropeptides as well as pharmacological agents. Furthermore, in combination with the use of transgenic fluorescent reporter mice, we have demonstrated that these primary cultures become a powerful tool for the examination of fluorescently-tagged enteroendocrine cells at the intracellular level, using methods such as patch clamping and single-cell calcium and cAMP-FRET imaging.

This protocol describes the isolation and culture of mixed murine small intestinal cells. These primary intestinal cultures enable the investigation of signaling pathways underlying gut peptide secretion using a number of techniques.

The gut is the largest endocrine organ of the body, with hormone-secreting enteroendocrine cells located along the length of the gastrointestinal ...

Analysis of Arabidopsis thaliana Growth Behavior in Different Light Qualities

Plant biologists often need to observe the growth behavior of their chosen species. To this end, the plants need constant environmental and stable light conditions, which are preferably variable in quantity and quality so that studies under different setups can be conducted. These requirements are met by climatic chambers featuring light emitting diodes (LED) lights, which can &#8211; in contrast to fluorescent lights &#8211; be set to different wavelengths. LEDs are energy conserving and emit virtually no heat even at light intensities, which often constitutes a problem with other light sources. The presented protocol provides a step-by-step guidance of how to program a climatic chamber equipped with variable LED lights as well as describing several approaches for in depth analysis of growth phenotypes. Depending on the experimental set-up various characteristics of the growing plants can be observed and analyzed. Here we describe how to determine fresh weight, leaf area, photosynthetic activity, and stomatal density. We demonstrate that in order to obtain reliable data and draw valid conclusions it is mandatory to use a sufficient number of individuals for statistical evaluation. Taking too few plants for this kind of analysis results in high statistical errors and consequently in less clear interpretations of the data.

Analysis of Arabidopsis thaliana Growth Behavior in Different Light Qualities

Here, we present a protocol for studying plant growth behavior and especially phenotypes in a reproducible manner. We show how to provide variable and at the same time stable light conditions. Proper analyses depend on sufficient sample numbers and valid statistical evaluations.

Plant biologists often need to observe the growth behavior of their chosen species. To this end, the plants need constant environmental and stable light ...

Spatiotemporal Investigation of ERL1 Dynamics via Confocal Imaging

Image-Based Methods to Study Membrane Trafficking Events in Stomatal Lineage Cells

In eukaryotic cells, membrane components, including proteins and lipids, are spatiotemporally transported to their destination within the endomembrane system. This includes the secretory transport of newly synthesized proteins to the cell surface or the outside of the cell, the endocytic transport of extracellular cargoes or plasma membrane components into the cell, and the recycling or shuttling transport of cargoes between the subcellular organelles, etc. Membrane trafficking events are crucial to the development, growth, and environmental adaptation of all eukaryotic cells and, thus, are under stringent regulation. Cell-surface receptor kinases, which perceive ligand signals from the extracellular space, undergo both secretory and endocytic transport. Commonly used approaches to study the membrane trafficking events using a plasma membrane-localized leucine-rich-repeat receptor kinase, ERL1, are described here. The approaches include plant material preparation, pharmacological treatment, and confocal imaging setup. To monitor the spatiotemporal regulation of ERL1, this study describes the co-localization analysis between ERL1 and a multi-vesicular body marker protein, RFP-Ara7, the time series analysis of these two proteins, and the z-stack analysis of ERL1-YFP treated with the membrane trafficking inhibitors brefeldin A and wortmannin.

Author Spotlight: Image-Based Methods to Study Membrane Trafficking Events in Stomatal Lineage Cells  

Several commonly used methods are introduced here to study the membrane trafficking events of a plasma membrane receptor kinase. This manuscript describes detailed protocols including the plant material preparation, pharmacological treatment, and confocal imaging setup.

In eukaryotic cells, membrane components, including proteins and lipids, are spatiotemporally transported to their destination within the endomembrane ...