<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>

Los autores declaran que no tienen intereses financieros en competencia. El autor, Witold Szymanski, es un empleado del Instituto Max Planck de Fisiología Molecular de Plantas. El autor, Waltraud Schulze es un empleado de la Universidad de Hohenheim, Alemania.

El protocolo se presenta en este documento contiene muchos pasos y todos ellos son cruciales para obtener el fraccionamiento pura y representante de la membrana plasmática de plantas resistentes a las membranas de detergente y fracciones solubles detergentes. Por lo tanto, es importante seguir cada paso como se indica. El tratamiento de la fracción de membrana de plasma con detergente no iónico (paso 3.2) tiene la mayor influencia en la calidad de la membrana de microdominios de fracciona...

En 1972, Jonathan Singer y Garth Nicolson propusieron el modelo de mosaico fluido un modelo de estructura de las membranas celulares, en sustitución del modelo de sándwich proteína-proteína-lípido que en general se aceptó a principios de 1960. Singer y Nicolson postularon que la membrana biológica puede ser considerado como un líquido de dos dimensiones, donde todas las moléculas de lípidos y de proteínas se difunden libremente y fácilmente 5. Desde ese momento, la estructura del modelo de la membrana plasmática y el conocimiento de la composición de la membrana se hizo aún más complejo. En particular, dentro de la membrana plasmática, se pueden observar estructuras tales como complejos de proteínas y lípidos basados ​​/ esterol microdominios estructuralmente desordenados. En membranas modelo artificiales 6,7, esteroles y esfingolípidos pueden separar lateralmente de otras especies de lípidos para formar regiones con características físicas alteradas. Esta segregación dentro de la membrana celular es causada principalmente por las propiedades de auto-asociación entre esteroles y altamente sacadenas de hidrocarburos turated de phopsho-y esfingolípidos 8. En particular, los anillos de esterol rígidos favorecen interacciones con más rígido y especies de lípidos más recta saturados y estas interacciones obligan a cadenas de hidrocarburos vecinos en más conformaciones extendidas, el aumento de grosor de la membrana y la dureza. Una de las características comúnmente observados de esterol enriquecido microdominios de membrana era su insolubilidad tras el tratamiento con detergentes no iónicos Triton X-100 tales o Brij 35. Estas fracciones se cree que son idénticos a los microdominios de membrana y fueron llamados membranas resistentes a detergentes (DRM) en función de su método de preparación bioquímica 2. El uso de detergentes no iónicos durante la extracción DRM recibió algunas críticas como la preparación DRM bioquímica puede no corresponder directamente a cualquier compartimento de membrana específico dentro de la célula viva 9. Particularmente, el detergente a la proporción de proteína parece crucial en tales preparaciones, unas de diferentes detergentes, así como diferentes cantidades de detergente pueden producir diferente composición de la fracción de membrana resistente al detergente 10. Sin embargo, hay evidencia de que las especies de proteínas particulares se asocian específicamente con estos dominios de membrana rica en esteroles celulares, y que estas proteínas son bien enriquecidas en preparaciones bioquímicas de fracciones de membrana de detergente resistente 11. El núcleo de proteínas que se encuentra en la fracción de DRM de la planta, y para los cuales la presencia de DRMs era esterol dependiente, fueron particularmente proteínas ancladas a GPI, como las proteínas-fasciclin como arabinogalactano (FLAS) y miembros de la familia de proteínas SKU. También se encontraron algunas proteínas de señalización, tales como quinasas o fosfolipasas similares al receptor de 11. Estos resultados son consistentes con muchos estudios proteómicos en microdominios de membrana de mamíferos 12,13. También en las plantas cada vez hay más pruebas para el papel de microdominios de membrana en el contexto de la respuesta de estrés 14 -16. El protocolo descrito aquí proporciona un método robusto para el fraccionamiento de microdominios de membrana de plasma y en particular utiliza una proteína a la concentración de detergente que nos permite representar las alteraciones inducidas por el estrés de el compartimiento de membrana rica en esteroles 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

Microdominios de membrana de plasma son características basadas en las propiedades físicas del entorno de lípidos y esteroles y tienen funciones específicas en los procesos de señalización. La extracción de microdominios de membrana enriquecidos con esteroles a partir de células de plantas para el análisis proteómico es una tarea difícil debido principalmente a múltiples pasos de preparación y las fuentes de contaminación de otros compartimentos celulares. La membrana plasmática constituye sólo alrededor del 5-20% de todas las membranas en una célula de planta, y por lo tanto el aislamiento de la fracción de membrana de plasma altamente purificado es un reto. Un método utilizado con frecuencia implica acuosa de partición de dos fases en glicol de polietileno y dextrano, que produce vesículas de la membrana de plasma con una pureza de 95% 1. Microdominios de membrana rica en esteroles dentro de la membrana de plasma son insolubles tras el tratamiento con detergentes no iónicos en frío a pH alcalino. Esta fracción de membrana resistente al detergente se puede separar de la membrana plasmática a granel por ultracentrifugación en comogradiente ucrose 2. Posteriormente, las proteínas se pueden extraer de la banda de baja densidad de la gradiente de sacarosa mediante precipitación de metanol / cloroformo. Proteína extraída a continuación, se digirió tripsina, se desalaron y finalmente analizado por LC-MS/MS. Nuestro protocolo de extracción para microdominios rica en esteroles está optimizado para la preparación de fracciones de membrana limpias detergente resistentes de cultivos de células de Arabidopsis thaliana. Utilizamos marcaje metabólico completo de los cultivos celulares suspensión de Arabidopsis thaliana con K 15 NO 3 como única fuente de nitrógeno para los estudios proteómicos comparativos cuantitativos después del tratamiento biológico de interés 3. Mediante la mezcla de iguales proporciones de cultivos de células marcadas y no marcadas para la extracción de proteínas conjunta la influencia de pasos de preparación sobre resultado cuantitativo final se mantiene a un mínimo. También la pérdida de material durante la extracción afectará tanto el control y las muestras de tratamiento de la misma manera, unad, por tanto, la relación entre la luz y el péptido tirón se mantendrá constante. En el método propuesto ya sea marcada o no marcada cultivo celular se somete a un tratamiento biológico, mientras que el otro sirve como control 4.

Con el protocolo presentado usando cultivos de células de Arabidopsis marcadas metabólicamente que es posible aislar las membranas plasmáticas a partir de tejido de la planta (paso 2, las Figuras 2 y 4), y para enriquecer resistente a detergentes fracciones de membrana dentro de la membrana de plasma (paso 3, las Figuras 3 y 5). Posteriormente, el protocolo permite la extracción de proteínas a partir de estos resistentes a detergentes fracciones de la membrana (paso 4) y l...

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

Aquí se describe un método robusto para el fraccionamiento de las membranas de plasma de plantas en las membranas solubles resistentes y detergentes detergente a base de una mezcla de no marcado e in vivo completamente 15 N cultivos de células de Arabidopsis thaliana etiquetados. El procedimiento se aplica para los estudios proteómicos comparativos para entender los procesos de señalización.

Metabólicas etiquetado y de membrana de fraccionamiento para Comparativo Proteómica Análisis de<em&gt; Arabidopsis thaliana</em&gt; Culturas suspensión celular

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

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

14.0K vistas.  Max Plank Institute of Molecular Plant Physiology.  Aquí se describe un método robusto para el fraccionamiento de las membranas de plasma de plantas en las membranas solubles resistentes y detergentes detergente a base de una mezcla de no marcado e in vivo completamente 15 N cultivos de células de Arabidopsis thaliana etiquetados. El procedimiento se aplica para los estudios proteómicos comparativos para entender los procesos de señalización. 

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.

La toxina de inducción y extracción de proteínas a partir de Fusarium Spp. Los cultivos para los estudios proteómicos

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

Investigación

Biología

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.

Floral dip transformación de la Arabidopsis thaliana Para el Examen de PTSO2:: β-glucuronidasa Reporter Expresión Génica

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.

Célula de medida Cinética la progresión del ciclo con el etiquetado metabólico y Citometría de Flujo

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.

Metabólicas etiquetado de repeticiones ricas en leucina quinasas 1 y 2 con Radioactive Fosfato

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.

Un nuevo enfoque para el análisis comparativo de Multiproteinas complejos basados ​​en<sup&gt; 15</sup&gt; N metabólico Etiquetado y cuantitativa de Espectrometría de Masas

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.

La tinción histoquímica de<em&gt; Arabidopsis thaliana</em&gt; Celda Secundaria Elements Pared

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.

Bienes Análisis Tiempo de perfil metabólico en<em&gt; Ex Vivo</em&gt; Culturas ratón intestinal Cripta organoides

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.

Mezcla de cultivos primarios de murino intestino delgado previstos para el Estudio de Gut Hormone secreción y Imágenes de células vivas de células enteroendocrinas

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.

Análisis del comportamiento de crecimiento de Arabidopsis thaliana en diferentes calidades de luz

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

Investigación espacio-temporal de la dinámica de ERL1 mediante imágenes confocales

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.

Autor destacado: Métodos basados en imágenes para estudiar los eventos de tráfico de membrana en células de linaje estomática  

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.

Métodos basados en imágenes para estudiar los eventos de tráfico de membrana en células de linaje estomática

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