Work in the Barton lab was supported by a grant from the Cancer Prevention and Research Institute of Texas (CPRIT RP110471). This research was supported in part, by a training grant fellowship for Ryan L. McCarthy from the National Institutes of Health Training Program in Molecular Genetics 5 T32 CA009299. The core facility that maintains and runs the mass cytometry machine is supported by CPRIT grant (RP121010) and NIH core grant (CA016672).

<ol>
	<li>Leipold, M. D., Maecker, H. T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Mass+cytometry:+protocol+for+daily+tuning+and+running+cell+samples+on+a+CyTOF+mass+cytometer.">Mass cytometry: protocol for daily tuning and running cell samples on a CyTOF mass cytometer.</a> J Vis Exp. , e4398 (2012).</li><li>Leipold, M. D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Another+step+on+the+path+to+mass+cytometry+standardization.">Another step on the path to mass cytometry standardization.</a> Cytometry A. 87, 380-382 (2015).</li><li>Newell, E. W., 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=Combinatorial+tetramer+staining+and+mass+cytometry+analysis+facilitate+T-cell+epitope+mapping+and+characterization.">Combinatorial tetramer staining and mass cytometry analysis facilitate T-cell epitope mapping and characterization.</a> Nat Biotechnol. 31, 623-629 (2013).</li><li>Leong, M. L., Newell, E. W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Multiplexed+Peptide-MHC+Tetramer+Staining+with+Mass+Cytometry.">Multiplexed Peptide-MHC Tetramer Staining with Mass Cytometry.</a> Methods Mol Biol. 1346, 115-131 (2015).</li><li>Zunder, E. R., 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=Palladium-based+mass+tag+cell+barcoding+with+a+doublet-filtering+scheme+and+single-cell+deconvolution+algorithm.">Palladium-based mass tag cell barcoding with a doublet-filtering scheme and single-cell deconvolution algorithm.</a> Nat Protoc. 10, 316-333 (2015).</li><li>Lai, L., Ong, R., Li, J., Albani, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+CD45-based+barcoding+approach+to+multiplex+mass-cytometry+(CyTOF).">A CD45-based barcoding approach to multiplex mass-cytometry (CyTOF).</a> Cytometry A. 87, 369-374 (2015).</li><li>Mei, H. E., Leipold, M. D., Schulz, A. R., Chester, C., Maecker, H. T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Barcoding+of+live+human+peripheral+blood+mononuclear+cells+for+multiplexed+mass+cytometry.">Barcoding of live human peripheral blood mononuclear cells for multiplexed mass cytometry.</a> J Immunol. 194, 2022-2031 (2015).</li><li>Fienberg, H. G., Simonds, E. F., Fantl, W. J., Nolan, G. P., Bodenmiller, B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+platinum-based+covalent+viability+reagent+for+single-cell+mass+cytometry.">A platinum-based covalent viability reagent for single-cell mass cytometry.</a> Cytometry A. 81, 467-475 (2012).</li><li>Krutzik, P. O., Nolan, G. P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Fluorescent+cell+barcoding+in+flow+cytometry+allows+high-throughput+drug+screening+and+signaling+profiling.">Fluorescent cell barcoding in flow cytometry allows high-throughput drug screening and signaling profiling.</a> Nat Methods. 3, 361-368 (2006).</li><li>Behbehani, G. K., Bendall, S. C., Clutter, M. R., Fantl, W. J., Nolan, G. P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Single-cell+mass+cytometry+adapted+to+measurements+of+the+cell+cycle.">Single-cell mass cytometry adapted to measurements of the cell cycle.</a> Cytometry A. 81, 552-566 (2012).</li><li>Edgar, L. J., 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=Identification+of+hypoxic+cells+using+an+organotellurium+tag+compatible+with+mass+cytometry.">Identification of hypoxic cells using an organotellurium tag compatible with mass cytometry.</a> Angew Chem Int Ed Engl. 53, 11473-11477 (2014).</li><li>Bendall, S. C., 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=Single-cell+mass+cytometry+of+differential+immune+and+drug+responses+across+a+human+hematopoietic+continuum.">Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum.</a> Science. 332, 687-696 (2011).</li><li>Horowitz, 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=Genetic+and+environmental+determinants+of+human+NK+cell+diversity+revealed+by+mass+cytometry.">Genetic and environmental determinants of human NK cell diversity revealed by mass cytometry.</a> Sci Transl Med. 5, 208ra145 (2013).</li><li>Zunder, E. R., Lujan, E., Goltsev, Y., Wernig, M., Nolan, G. P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+continuous+molecular+roadmap+to+iPSC+reprogramming+through+progression+analysis+of+single-cell+mass+cytometry.">A continuous molecular roadmap to iPSC reprogramming through progression analysis of single-cell mass cytometry.</a> Cell Stem Cell. 16, 323-337 (2015).</li><li>Han, L., 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=Single-cell+mass+cytometry+reveals+intracellular+survival/proliferative+signaling+in+FLT3-ITD-mutated+AML+stem/progenitor+cells.">Single-cell mass cytometry reveals intracellular survival/proliferative signaling in FLT3-ITD-mutated AML stem/progenitor cells.</a> Cytometry A. 87, 346-356 (2015).</li><li>Bendall, S. C., 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=Single-cell+trajectory+detection+uncovers+progression+and+regulatory+coordination+in+human+B+cell+development.">Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development.</a> Cell. 157, 714-725 (2014).</li><li>Qiu, P., 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=Extracting+a+cellular+hierarchy+from+high-dimensional+cytometry+data+with+SPADE.">Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE.</a> Nat Biotechnol. 29, 886-891 (2011).</li><li>Amir el, A. D., 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=viSNE+enables+visualization+of+high+dimensional+single-cell+data+and+reveals+phenotypic+heterogeneity+of+leukemia.">viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia.</a> Nat Biotechnol. 31, 545-552 (2013).</li><li>Behbehani, G. 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=Transient+partial+permeabilization+with+saponin+enables+cellular+barcoding+prior+to+surface+marker+staining.">Transient partial permeabilization with saponin enables cellular barcoding prior to surface marker staining.</a> Cytometry A. 85, 1011-1019 (2014).</li><li>Finck, R., 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=Normalization+of+mass+cytometry+data+with+bead+standards.">Normalization of mass cytometry data with bead standards.</a> Cytometry A. 83, 483-494 (2013).</li><li>Chester, C., Maecker, H. T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Algorithmic+Tools+for+Mining+High-Dimensional+Cytometry+Data.">Algorithmic Tools for Mining High-Dimensional Cytometry Data.</a> J Immunol. 195, 773-779 (2015).</li><li>Diggins, K. E., Ferrell, P. B., Irish, J. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Methods+for+discovery+and+characterization+of+cell+subsets+in+high+dimensional+mass+cytometry+data.">Methods for discovery and characterization of cell subsets in high dimensional mass cytometry data.</a> Methods. 82, 55-63 (2015).</li><li>Leelatian, N., Diggins, K. E., Irish, J. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Characterizing+Phenotypes+and+Signaling+Networks+of+Single+Human+Cells+by+Mass+Cytometry.">Characterizing Phenotypes and Signaling Networks of Single Human Cells by Mass Cytometry.</a> Methods Mol Biol. 1346, 99-113 (2015).</li><li>van der Maaten, L. J. P., Hinton, G. E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Visualizaing+Data+using+t-SNE.">Visualizaing Data using t-SNE.</a> J. Mach. Learn. Res. 9, 2431-2456 (2008).</li><li>Kling, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Cytometry:+Measure+for+measure.">Cytometry: Measure for measure.</a> Nature. 518, 439-443 (2015).</li><li>Gregori, G., 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=Hyperspectral+cytometry.">Hyperspectral cytometry.</a> Curr Top Microbiol Immunol. 377, 191-210 (2014).</li><li>Chattopadhyay, P. 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=Brilliant+violet+fluorophores:+a+new+class+of+ultrabright+fluorescent+compounds+for+immunofluorescence+experiments.">Brilliant violet fluorophores: a new class of ultrabright fluorescent compounds for immunofluorescence experiments.</a> Cytometry A. 81, 456-466 (2012).</li><li>Rieger, A. M., Havixbeck, J. J., Barreda, D. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=X-FISH:+Analysis+of+cellular+RNA+expression+patterns+using+flow+cytometry.">X-FISH: Analysis of cellular RNA expression patterns using flow cytometry.</a> J Immunol Methods. 423, 111-119 (2015).</li><li>Frei, A. P., 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=Highly+multiplexed+simultaneous+detection+of+RNAs+and+proteins+in+single+cells.">Highly multiplexed simultaneous detection of RNAs and proteins in single cells.</a> Nat Methods. 13, 269-275 (2016).</li></ol>

The authors have nothing to disclose.

El protocolo aquí presentado se ha empleado con éxito para el tratamiento de varias líneas cultivadas de células (H1 y H9 hESCs, mESCs, MCF7, HEK 293, KBM5, HMEC, MCF10A) y muestras de tejidos primarios (médula ósea de ratón, el hígado embrionario de ratón, ratón adulto hígado, tumor de ratón). Independientemente de la fuente, cualquier tejido que puede ser disociado en las células individuales, preservando el estado celular debe ser susceptibles de análisis por citometría de masa, pero puede requerir alg...

Citometría permite la medición simultánea de múltiples objetivos de anticuerpos en un único nivel celular a través de grandes poblaciones de células. En tradicional citometría de flujo basada en fluorescencia, el número de parámetros que pueden cuantificarse está limitada por la superposición espectral entre el espectro de emisión de múltiples fluoróforos, que requiere cálculos de compensación cada vez más complejos como el número de parámetros aumenta. Estas limitaciones se abordan en masa citometría, donde se detectan y cuantifican por tiempo de vuelo (TOF) espectrometría de masas para ampliar en gran medida el número de parámetros recogidos simultáneamente y producir un alto perfil de proteínas-abundancia dimensional para cada célula individual anticuerpos conjugados de metales pesados. Un conocimiento básico del funcionamiento de los medios de citometría de instrumentos es beneficioso para el usuario y puede ser esencial para la resolución de problemas. Para una descripción más completa de ajuste y funcionamiento de una máquina de masa citometría,ver el manuscrito relacionado 1. Brevemente, una muestra celular se marca con un panel de anticuerpos conjugados de metal de orientación marcadores de superficie celular, proteínas citoplásmicas, proteínas nucleares, proteínas de la cromatina unida u otros epítopos de interés (Figura 1i). Las células marcadas se cargan en la máquina, ya sea de una en una por inyección manual o el uso de un muestreador automático que las muestras de una placa de 96 pocillos. Las células cargadas se inyectan a través de un nebulizador, que genera una pulverización de gotitas líquidas que encapsulan las células (Figura 1ii). Este spray se coloca de modo que las células son ionizados por un soplete de plasma de argón. Esta ionización genera una nube de partículas comprendido de todos los átomos constituyentes de cada célula (Figura 1III). Como esta nube de partículas viaja al detector, átomos de baja masa atómica se separan de los altos iones de masas por un filtro de masas de cuadrupolo. Los iones de masas de alta restantes siguen el detector, donde el abundance de cada isótopo se cuantifica (Figura 1iv). Los datos brutos recogidos por el detector, son analizados por el software del instrumento de citometría de masas para identificar eventos celulares. Para cada evento célula identificada, la señal detectada en cada canal se cuantifica y se guarda en el archivo una salida .fcs. Los canales de masa utilizados para la detección de los anticuerpos de metales pesados ​​conjugados exhiben solapamiento espectral mínimo, que oscila de 0-4% con la mayoría de las contribuciones por debajo de 1%. Debido a esta baja diafonía entre canales, generalmente es innecesario para transformar los datos con una matriz de compensación antes del análisis 2. Sin embargo, se debe tener cuidado durante el diseño del panel experimental de anticuerpos para garantizar que un anticuerpo con un epítopo de alta abundancia no se asigna a un canal de masa que contribuye señal a un canal asignado a un anticuerpo de baja abundancia, ya que puede crear una población artificialmente alta en el canal de recepción de la contribución de la señal. <p clculo = &quot;jove_content&quot;&gt; La preparación exacta de muestras para análisis de citometría de masa es altamente dependiente de los tipos de muestras que se recogió y la hipótesis experimental se está probando. Proporcionamos ejemplos de dos protocolos para la recolección de diferentes tipos de células (células madre embrionarias humanas) y células primarias (tumor de mama aislar de células epiteliales de ratón). Al comenzar un estudio de citometría de masas, es aconsejable llevar a cabo primero un pequeño experimento piloto para asegurar que todos los protocolos y los anticuerpos que se utilizarán están trabajando bien en manos del investigador. Esto es especialmente esencial cuando se van a utilizar anticuerpos conjugados de encargo, como la reacción de reducción parcial durante la conjugación de anticuerpos tiene el potencial de interrumpir la afinidad del anticuerpo; Por lo tanto, cada anticuerpo a medida necesita ser validado empíricamente para garantizar la exactitud de los datos. Otras consideraciones incluyen la determinación de si los anticuerpos de la superficie celular que se utilizarán en el ensayo reconocerá sus epítopos después de la fijación o si need a ser aplicado a células vivas. Algunos de fijación puede evitar la tinción adecuada con anticuerpos de la superficie celular como se sabe que ocurre con el péptido-MHC tinción 3, 4. Realización de la tinción de anticuerpos de la superficie celular en células vivas puede ser necesario para algunos anticuerpos, pero esto excluye la opción de códigos de barras antes del marcaje de anticuerpos como la mayoría de los métodos de código de barras se realizan después de la fijación 5, aunque el código de barras basado en anticuerpos 6, 7 es una excepción. Al determinar el número de células que se preparó para el análisis, es importante saber que será detectado sólo una fracción de las células cargadas en la máquina y producir datos. Esta pérdida se debe principalmente a las ineficiencias cuando el nebulizador pulveriza de la muestra a la antorcha. La pérdida exacta ciento depende de la masa de citometría de configuración de la máquina y el tipo celular, pero puede variar de 50-85% y debe estarcuenta en el diseño del experimento. Este protocolo se ha optimizado para 2x10 6 células por muestra, pero puede ser adaptado para el procesamiento de tamaños de muestra más pequeños o más grandes. Este protocolo se puede utilizar con modificaciones mínimas para tamaños de muestra de 1 x 10 6 4 x 10 6, sin embargo, es crítico que tamaño de la muestra se mantiene constante dentro de un experimento. Los cambios en el número de células pueden afectar a la intensidad de los códigos de barras y la tinción de anticuerpos y debe ser mantenido más o menos constante a través de muestras que deben compararse directamente. Algunos procedimientos, como el etiquetado de células muertas y de marcaje de ADN, deberían llevarse a cabo en la gran mayoría, si no todos los diseños experimentales. El etiquetado de células muertas en los experimentos de análisis de marcadores de superficie sólo se puede lograr utilizando Rh103, pero Rh103 se debe evitar por experimentos en los que se requiere la permeabilización, que resultará en la pérdida de tinción. Para los experimentos que implican la permeabilización, es aconsejable utilizar cisplatino <shasta class = &quot;xref&quot;&gt; 8 y, cuando sea posible, un anticuerpo que reconoce PARP exfoliados o exfoliados caspasa para detectar células apoptóticas y muertas. Muestras de código de barras pueden reducir el consumo de anticuerpo, disminuir el tiempo de adquisición y eliminar de la muestra a muestra variabilidad 9. El proceso de código de barras consiste en aplicar un código de muestra específica única para todas las células, que se utiliza para asignar a cada célula a su muestra de origen. Después de códigos de barras las muestras podrán mezclarse antes de la tinción de anticuerpo, un proceso que asegura todas las muestras se tiñen por igual. Para reducir al mínimo el error experimental, es prudente código de barras y Piscina ninguna de las muestras que van a ser directamente comparados entre sí. Actualmente existen varios métodos para códigos de barras muestras para análisis de citometría de masa 5, 6, 7, dos de los cuales se presentan aquí (véase abajo). Con reagen disponibles en la actualidadts es posible cuantificar la abundancia de 38 dianas de anticuerpos, identificar las células en la fase S 10, distinguir las células vivas y muertas 8 y medir los niveles celulares de la hipoxia 11 en un experimento de multiplexado de múltiples muestras. Esta capacidad de recoger datos de células individuales alta de parámetros para las poblaciones de células grandes permite mejorar de perfiles de poblaciones de células altamente heterogéneos y ya ha producido una serie de puntos de vista biológicos novedosos 12, 13, 14, 15, 16. Destilar los datos complejo resultante a la información interpretable ha requerido el uso de algoritmos computacionales incluyendo Spanning Tree progresión de la densidad de Eventos normalizada (SPADE) 17 y Visne 18. En este artículo se presenta un formato accesiblevisión general de cómo diseñar y llevar a cabo una masa citometría de experimento e introduce el análisis básico de datos de citometría de masas.

<table><tbody><tr><td>mTeSR1 medium kit</td><td>Stem Cell technologies</td><td>05850</td><td>Warm at room temperature before use</td></tr><tr><td>DMEM F-12</td><td>ThermoFisher</td><td>11330-032</td><td>Warm at 37&amp;nbsp;&amp;deg;C before use</td></tr><tr><td>Accutase</td><td>Stem Cell technologies</td><td>07920</td><td>Warm at 37&amp;nbsp;&amp;deg;C before use</td></tr><tr><td>Bovine serum albumin</td><td>Equitech</td><td>BAH62</td><td></td></tr><tr><td>phosphate buffered saline</td><td>Hyclone</td><td>SH30256.01</td><td></td></tr><tr><td>Saponin</td><td>Sigma-Aldrich</td><td>47036</td><td></td></tr><tr><td>Cell ID Pt194</td><td>Fluidigm</td><td></td><td>Provided at 1&amp;nbsp;mM</td></tr><tr><td>Cell ID Pt195</td><td>Fluidigm</td><td></td><td>Provided at 1&amp;nbsp;mM</td></tr><tr><td>Cell ID Pt196</td><td>Fluidigm</td><td></td><td>Provided at 1&amp;nbsp;mM</td></tr><tr><td>Cisplatin</td><td>Enzo Life Sciences</td><td>ALX-400-040-M250</td><td>Soluble to 25&amp;nbsp;mg/mL in DMSO</td></tr><tr><td>Cell-ID 20-plex Pd Barcoding Kit</td><td>Fluidigm</td><td>201060</td><td></td></tr><tr><td>5-Iodo-2&#039;-deoxyuridine</td><td>Sigma-Aldrich</td><td>I7125</td><td>Soluble to 74&amp;nbsp;mg/mL in 0.2&amp;nbsp;N NaOH</td></tr><tr><td>Rhodium 103 intercelating agent</td><td>Fluidigm</td><td>201103A</td><td></td></tr><tr><td>Methanol</td><td>Fisher</td><td>BP1105-4</td><td>Chill at -20&amp;nbsp;&amp;deg;C before use</td></tr><tr><td>Sodium Azide</td><td>Sigma-Aldrich</td><td>S2002</td><td></td></tr><tr><td>5 mL round bottom tubes</td><td>Falcon</td><td>352058</td><td></td></tr><tr><td>5 mL 35 &amp;#956;m filter cap tubes</td><td>Falcon</td><td>352235</td><td></td></tr><tr><td>EQ four element calibration beads</td><td>Fluidigm</td><td>201078</td><td></td></tr><tr><td>Hyaluronidase Type I-S</td><td>Sigma-Aldrich</td><td>H3506</td><td></td></tr><tr><td>Collagenase from Clostridium histolyticum</td><td>Sigma-Aldrich</td><td>C9891</td><td></td></tr><tr><td>Disposable Scalpel #10</td><td>Sigma-Aldrich</td><td>Z69239</td><td></td></tr></tbody></table>

sample preparation for mass cytometry analysis

Masa utiliza citometría de anticuerpos conjugados con etiquetas de metales pesados, un enfoque que ha aumentado considerablemente el número de parámetros y oportunidades para el análisis profundo mucho más allá de lo que es posible con el flujo basado en la fluorescencia convencional citometría. Como con cualquier nueva tecnología, hay pasos críticos que ayudan a asegurar la generación fiable de datos de alta calidad. Se presenta aquí un protocolo optimizado que incorpora múltiples técnicas para el procesamiento de muestras de células para análisis de masas citometría. Los métodos descritos aquí ayudarán al usuario a evitar los errores comunes y lograr resultados consistentes al minimizar la variabilidad, que puede conducir a datos inexactos. Para informar el diseño experimental, la razón de pasos opcionales o alternativos en el protocolo y su eficacia en el descubrimiento de nuevos hallazgos en la biología del sistema que está siendo investigado está cubierto. Por último, los datos representativos se presenta para ilustrar resultados esperados de la Presente técnicasd aquí.

El protocolo que se presenta aquí se puede aplicar en general a una amplia variedad de muestras de células cultivadas y primario con sólo modificaciones menores. Dependiendo de los requisitos del experimento, se puede realizar de una manera modular cuando ciertos elementos, tales como códigos de barras o de la superficie celular de la tinción, no son necesarios. Utilizado en su totalidad este protocolo permite la preparación de la masa multiplexada citometría de muestras marcadas ...

Watch this Scientific Journal Video about Sample Preparation for Mass Cytometry Analysis at JoVE.com

Sample Preparation for Mass Cytometry Analysis

This article describes the collection and processing of samples for mass cytometry analysis.

Preparación de muestras para análisis de masas Citometría

Mass cytometry utilizes antibodies conjugated with heavy metal labels, an approach that has greatly increased the number of parameters and opportunities ...

sample-preparation-for-mass-cytometry-analysis

Universidad de Cartagena UDEC

Research

JoVE Journal

Biology

16.0K vistas.  The University of Texas MD Anderson Cancer Center. This article describes the collection and processing of samples for mass cytometry analysis.

Video: Sample Preparation for Mass Cytometry Analysis

Mass Cytometry: Protocol for Daily Tuning and Running Cell Samples on a CyTOF Mass Cytometer

In recent years, the rapid analysis of single cells has commonly been performed using flow cytometry and fluorescently-labeled antibodies. However, the issue of spectral overlap of fluorophore emissions has limited the number of simultaneous probes. In contrast, the new CyTOF mass cytometer by DVS Sciences couples a liquid single-cell introduction system to an ICP-MS.1 Rather than fluorophores, chelating polymers containing highly-enriched metal isotopes are coupled to antibodies or other specific probes.2-5 Because of the metal purity and mass resolution of the mass cytometer, there is no "spectral overlap" from neighboring isotopes, and therefore no need for compensation matrices. Additionally, due to the use of lanthanide metals, there is no biological background and therefore no equivalent of autofluorescence. With a mass window spanning atomic mass 103-203, theoretically up to 100 labels could be distinguished simultaneously. Currently, more than 35 channels are available using the chelating reagents available from DVS Sciences, allowing unprecedented dissection of the immunological profile of samples.6-7
Disadvantages to mass cytometry include the strict requirement for a separate metal isotope per probe (no equivalent of forward or side scatter), and the fact that it is a destructive technique (no possibility of sorting recovery). The current configuration of the mass cytometer also has a cell transmission rate of only ~25%, thus requiring a higher input number of cells.
Optimal daily performance of the mass cytometer requires several steps. The basic goal of the optimization is to maximize the measured signal intensity of the desired metal isotopes (M) while minimizing the formation of oxides (M+16) that will decrease the M signal intensity and interfere with any desired signal at M+16. The first step is to warm up the machine so a hot, stable ICP plasma has been established. Second, the settings for current and make-up gas flow rate must be optimized on a daily basis. During sample collection, the maximum cell event rate is limited by detector efficiency and processing speed to 1000 cells/sec. However, depending on the sample quality, a slower cell event rate (300-500 cells/sec) is usually desirable to allow better resolution between cells events and thus maximize intact singlets over doublets and debris. Finally, adequate cleaning of the machine at the end of the day helps minimize background signal due to free metal.

The steps necessary for daily tuning and optimization of the performance of a CyTOF mass cytometer are described. Comments on optimal sample preparation and flow rate are discussed

Citometría de masas: Protocolo para la afinación y servicio diario muestras de células en un citómetro de masas CyTOF

In recent years, the rapid analysis of single cells has commonly been performed using flow cytometry and fluorescently-labeled antibodies. However, the ...

Investigación

Bioingeniería

Isolation and Staining of Mouse Skin Keratinocytes for Cell Cycle Specific Analysis of Cellular Protein Expression by Mass Cytometry

The goal of this protocol is to detect and quantify protein expression changes in a cell cycle-dependent manner using single cells isolated from the epidermis of mouse skin. There are seven important steps: separation of the epidermis from the dermis, digestion of the epidermis, staining of the epidermal cell populations with cisplatin, sample barcoding, staining with metal tagged antibodies for cell cycle markers and proteins of interest, detection of metal-tagged antibodies by mass cytometry, and the analysis of expression in the various cell cycle phases. The advantage of this approach over histological methods is the potential to assay the expression pattern of &#62;40 different markers in a single cell at different phases of the cell cycle. This approach also allows for the multivariate correlation analysis of protein expression that is more quantifiable than histological/imaging methods. The disadvantage of this protocol is that a suspension of single cells is needed, which results in the loss of location information provided by the staining of tissue sections. This approach may also require the inclusion of additional markers to identify different cell types in crude cell suspensions. The application of this protocol is evident in the analysis of hyperplastic skin disease models. Moreover, this protocol can be adapted for the analysis of specific sub-type of cells (e.g., stem cells) by the addition of lineage-specific antibodies. This protocol can also be adapted for the analysis of skin cells in other experimental species.

This protocol describes how to isolate skin keratinocytes from mouse models, to stain with metal-tagged antibodies, and to analyze stained cells by mass cytometry in order to profile the expression pattern of proteins of interest in the different cell cycle phases.

Aislamiento y tinción de queratinocitos de piel de ratón para el análisis específico del ciclo celular de la expresión de proteínacelular espora

The goal of this protocol is to detect and quantify protein expression changes in a cell cycle-dependent manner using single cells isolated from the ...

Biología del Desarrollo

Collection, Isolation, and Flow Cytometric Analysis of Human Endocervical Samples

Despite the public health importance of mucosal pathogens (including HIV), relatively little is known about mucosal immunity, particularly at the female genital tract (FGT). Because heterosexual transmission now represents the dominant mechanism of HIV transmission, and given the continual spread of sexually transmitted infections (STIs), it is critical to understand the interplay between host and pathogen at the genital mucosa. The substantial gaps in knowledge around FGT immunity are partially due to the difficulty in successfully collecting and processing mucosal samples. In order to facilitate studies with sufficient sample size, collection techniques must be minimally invasive and efficient. To this end, a protocol for the collection of cervical cytobrush samples and subsequent isolation of cervical mononuclear cells (CMC) has been optimized. Using ex vivo flow cytometry-based immunophenotyping, it is possible to accurately and reliably quantify CMC lymphocyte/monocyte population frequencies and phenotypes. This technique can be coupled with the collection of cervical-vaginal lavage (CVL), which contains soluble immune mediators including cytokines, chemokines and anti-proteases, all of which can be used to determine the anti- or pro-inflammatory environment in the vagina.

The use of cytobrush sampling to collect lymphocytes and monocytes from the endocervix is a minimally invasive technique that provides samples for analysis of female genital tract immunity. In this protocol, we describe the collection of cytobrush samples and immune cell isolation for flow cytometry assays.

Colección, Aislamiento, y citometría de flujo análisis de las muestras endocervicales Humano

Despite the public health importance of mucosal pathogens (including HIV), relatively little is known about mucosal immunity, particularly at the female ...

Medicina

Identification and Isolation of Burst-Forming Unit and Colony-Forming Unit Erythroid Progenitors from Mouse Tissue by Flow Cytometry

Early erythroid progenitors were originally defined by their colony-forming potential in vitro and classified into burst-forming and colony-forming &#34;units&#34; known as BFU-e and CFU-e. Until recently, methods for the direct prospective and complete isolation of pure BFU-e and CFU-e progenitors from freshly isolated adult mouse bone marrow were not available. To address this gap, a single-cell RNA-seq (scRNAseq) dataset of mouse bone marrow was analyzed for the expression of genes coding for cell surface markers. This analysis was combined with cell fate assays, allowing the development of a novel flow cytometric approach that identifies and allows the isolation of complete and pure subsets of BFU-e and CFU-e progenitors in mouse bone marrow or spleen. This approach also identifies other progenitor subsets, including subsets enriched for basophil/mast cell and megakaryocytic potentials. The method consists of labeling fresh bone marrow or spleen cells with antibodies directed at Kit and CD55. Progenitors that express both these markers are then subdivided into five principal populations. Population 1 (P1 or CFU-e, Kit+ CD55+ CD49fmed/low CD105med/high CD71med/high) contains all of the CFU-e progenitors and may be further subdivided into P1-low (CD71med CD150high) and P1-hi (CD71high CD150low), corresponding to early and late CFU-e, respectively; Population 2 (P2 or BFU-e, Kit+ CD55+ CD49fmed/low CD105med/high CD71low CD150high) contains all of the BFU-e progenitors; Population P3 (P3, Kit+ CD55+ CD49fmed/high CD105med/low CD150low CD41low) is enriched for basophil/mast cell progenitors; Population 4 (P4, Kit+ CD55+ CD49fmed/high CD105med/low CD150high CD41+) is enriched for megakaryocytic progenitors; and Population 5 (P5, Kit+ CD55+ CD49fmed/high CD105med/low CD150high CD41-) contains progenitors with erythroid, basophil/mast cell, and megakaryocytic potential (EBMP) and erythroid/ megakaryocytic/ basophil-biased multipotential progenitors (MPPs). This novel approach allows greater precision when analyzing erythroid and other hematopoietic progenitors and also allows for reference to transcriptome information for each flow cytometrically defined population.

Here, we describe a novel flow cytometric method for prospective isolation of early burst-forming unit erythroid (BFU-e) and colony-forming unit erythroid (CFU-e) progenitors directly from fresh mouse bone marrow and spleen. This protocol, developed based on single-cell transcriptomic data, is the first to isolate all the tissue's erythroid progenitors with high purity.

Identificación y aislamiento de progenitores eritroides de unidades formadoras de ráfagas y unidades formadoras de colonias a partir de tejido de ratón mediante citometría de flujo

Early erythroid progenitors were originally defined by their colony-forming potential in vitro and classified into burst-forming and colony-forming ...

Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry

Cytokines play a pivotal role in the pathogenesis of autoimmune diseases. Hence, the measurement of cytokine levels has been the focus of multiple studies in an attempt to understand the precise mechanisms that lead to the breakdown of self-tolerance and subsequent autoimmunity. Approaches thus far have been based on the study of one specific aspect of the immune system (a single or few cell types or cytokines), and do not offer a global assessment of complex autoimmune disease. While patient sera-based studies have afforded important insights into autoimmunity, they do not provide the specific cellular source of the dysregulated cytokines detected. A comprehensive single-cell approach to evaluate cytokine production in multiple immune cell subsets, within the context of &#34;intrinsic&#34; patient-specific plasma circulating factors, is described here. This approach enables monitoring of the patient-specific immune phenotype (surface markers) and function (cytokines), either in its native &#34;intrinsic pathogenic&#34; disease state, or in the presence of therapeutic agents (in vivo or ex vivo).

Here we describe a single-cell proteomic approach to evaluate immune phenotypic and functional (intracellular cytokine induction) alterations in peripheral whole blood samples, analyzed via mass cytometry.

Análisis unicelular de Immunophenotype y producción de citoquinas en sangre periférica por citometría de masas

Cytokines play a pivotal role in the pathogenesis of autoimmune diseases. Hence, the measurement of cytokine levels has been the focus of multiple studies ...

Inmunología e Infección

Preparation of Whole Bone Marrow for Mass Cytometry Analysis of Neutrophil-lineage Cells

In this article, we present a protocol that is optimized to preserve neutrophil-lineage cells in fresh BM for whole BM CyTOF analysis. We utilized a myeloid-biased 39-antibody CyTOF panel to evaluate the hematopoietic system with a focus on the neutrophil-lineage cells by using this protocol. The CyTOF result was analyzed with an open-resource dimensional reduction algorithm, viSNE, and the data was presented to demonstrate the outcome of this protocol. We have discovered new neutrophil-lineage cell populations based on this protocol. This protocol of fresh whole BM preparation may be used for 1), CyTOF analysis to discover unidentified cell populations from whole BM, 2), investigating whole BM defects for patients with blood disorders such as leukemia, 3), assisting optimization of fluorescence-activated flow cytometry protocols that utilize fresh whole BM.

Here, we present a protocol to process fresh bone marrow (BM) isolated from mouse or human for high-dimensional mass cytometry (Cytometry by Time-Of-Flight, CyTOF) analysis of neutrophil-lineage cells.

Preparación de la médula ósea entera para el análisis de citometría de masa de células de linaje neutrófilo

In this article, we present a protocol that is optimized to preserve neutrophil-lineage cells in fresh BM for whole BM CyTOF analysis. We utilized a ...

Estudios metabólicos de bajos insumos en tipos celulares de ratones

Targeted Metabolomics on Rare Primary Cells

Cellular function critically depends on metabolism, and the function of the underlying metabolic networks can be studied by measuring small molecule intermediates. However, obtaining accurate and reliable measurements of cellular metabolism, particularly in rare cell types like hematopoietic stem cells, has traditionally required pooling cells from multiple animals. A protocol now enables researchers to measure metabolites in rare cell types using only one mouse per sample while generating multiple replicates for more abundant cell types. This reduces the number of animals that are required for a given project. The protocol presented here involves several key differences over traditional metabolomics protocols, such as using 5 g/L NaCl as a sheath fluid, sorting directly into acetonitrile, and utilizing targeted quantification with rigorous use of internal standards, allowing for more accurate and comprehensive measurements of cellular metabolism. Despite the time required for the isolation of single cells, fluorescent staining, and sorting, the protocol can preserve differences among cell types and drug treatments to a large extent.

Autor destacado: Avance en el análisis metabolómico de células madre hematopoyéticas raras 

Here, we present a protocol to accurately and reliably measure metabolites in rare cell types. Technical improvements, including a modified sheath fluid for cell sorting and the generation of relevant blank samples, enable a comprehensive quantification of metabolites with an input of only 5000 cells per sample.

Metabolómica dirigida en células primarias raras

Cellular function critically depends on metabolism, and the function of the underlying metabolic networks can be studied by measuring small molecule ...

Measurement of Mitochondrial Mass and Membrane Potential in Hematopoietic Stem Cells and T-cells by Flow Cytometry

A fine balance of quiescence, self-renewal, and differentiation is key to preserve the hematopoietic stem cell (HSC) pool and maintain lifelong production of all mature blood cells. In recent years cellular metabolism has emerged as a crucial regulator of HSC function and fate. We have previously demonstrated that modulation of mitochondrial metabolism influences HSC fate. Specifically, by chemically uncoupling the electron transport chain we were able to maintain HSC function in culture conditions that normally induce rapid differentiation. However, limiting HSC numbers often precludes the use of standard assays to measure HSC metabolism and therefore predict their function. Here, we report a simple flow cytometry assay that allows reliable measurement of mitochondrial membrane potential and mitochondrial mass in scarce cells such as HSCs. We discuss the isolation of HSCs from mouse bone marrow and measurement of mitochondrial mass and membrane potential post ex vivo culture. As an example, we show the modulation of these parameters in HSCs via treatment with a metabolic modulator. Moreover, we extend the application of this methodology on human peripheral blood-derived T cells and human tumor infiltrating lymphocytes (TILs), showing dramatic differences in their mitochondrial profiles, possibly reflecting different T cell functionality. We believe this assay can be employed in screenings to identify modulators of mitochondrial metabolism in various cell types in different contexts.

Here we describe a reliable method to measure mitochondrial mass and membrane potential in ex vivo cultured hematopoietic stem cells and T cells.

Medición de la masa mitocondrial y el potencial de la membrana en células madre hematopoyéticas y células T por citometría de flujo

A fine balance of quiescence, self-renewal, and differentiation is key to preserve the hematopoietic stem cell (HSC) pool and maintain lifelong production ...

Preparación de muestras para análisis de masas Citometría

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Citometría de masas: Protocolo para la afinación y servicio diario muestras de células en un citómetro de masas CyTOF

Aislamiento y tinción de queratinocitos de piel de ratón para el análisis específico del ciclo celular de la expresión de proteínacelular espora

Colección, Aislamiento, y citometría de flujo análisis de las muestras endocervicales Humano

Identificación y aislamiento de progenitores eritroides de unidades formadoras de ráfagas y unidades formadoras de colonias a partir de tejido de ratón mediante citometría de flujo

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