Damos las gracias a Emily Jackson, Joshua Zeidman y Nicholas Wren para comentarios sobre el software. Este trabajo fue financiado por GM95733 (a NM), BBBE 103.316 y los fondos de inicio del MIT (a NM).

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L., Volfson, D., Hasty, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Monitoring+dynamics+of+single-cell+gene+expression+over+multiple+cell+cycles.">Monitoring dynamics of single-cell gene expression over multiple cell cycles.</a> Molecular Systems Biology. 1 (1), 2005.0024 (2005).</li><li>Paliwal, S., Iglesias, P. A., Campbell, K., Hilioti, Z., Groisman, A., Levchenko, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=MAPK-mediated+bimodal+gene+expression+and+adaptive+gradient+sensing+in+yeast.">MAPK-mediated bimodal gene expression and adaptive gradient sensing in yeast.</a> Nature. 446 (7131), 46-51 (2007).</li><li>Charvin, G., Cross, F. R., Siggia, E. 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Meth. 4 (2), 175-181 (2007).</li><li>Otsu, N. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+Threshold+Selection+Method+from+Gray-Level+Histograms.">A Threshold Selection Method from Gray-Level Histograms.</a> IEEE Trans. Sys. Man. Cyber. 9 (1), 62-66 (1979).</li><li>Goranov, A. I., Cook, M., 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=The+rate+of+cell+growth+is+governed+by+cell+cycle+stage.">The rate of cell growth is governed by cell cycle stage.</a> Genes &amp; Development. 23 (12), 1408-1422 (2009).</li><li>To, T. -. L., Maheshri, N. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Noise+Can+Induce+Bimodality+in+Positive+Transcriptional+Feedback+Loops+Without+Bistability.">Noise Can Induce Bimodality in Positive Transcriptional Feedback Loops Without Bistability.</a> Science. 327 (5969), 1142-1145 (2010).</li><li>O'Neill, E. M., Kaffman, A., Jolly, E. R., O'Shea, E. K. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Regulation+of+PHO4+nuclear+localization+by+the+PHO80-PHO85+cyclin-CDK+complex.">Regulation of PHO4 nuclear localization by the PHO80-PHO85 cyclin-CDK complex.</a> Science. 271 (5246), 209-212 (1996).</li><li>Raser, J. M., O'Shea, E. 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Los autores declaran que no tienen intereses financieros en competencia.

El protocolo anterior se describe un método simple para obtener y analizar datos de series temporales de fluorescencia con experiencia limitada en la microfluídica o en el desarrollo de software. Esto permite obtener películas a intervalos de fluorescencia de las células individuales de levadura, extracto de tamaño de la celda correspondiente y las mediciones de expresión; asignaciones linaje cura y seguimiento, y analizar el comportamiento de las células en su conjunto a través del tiempo mediante un dispositiv...

Análisis individual de células de la expresión génica ha impulsado nuestra comprensión de muchos aspectos de la regulación de genes. Instantáneas estáticas de expresión reportero fluorescente utilizando citometría de flujo o microscopía proporcionan información útil sobre la distribución de la expresión de una sola célula, pero carecen de la historia y la evolución de los datos de series de tiempo requeridos para informar directamente dinámica de la expresión de genes. Fluorescencia microscopía de lapso de tiempo presenta un medio para obtener ambas medidas unicelulares y su historia. Diversas técnicas experimentales y analíticos se han desarrollado para obtener y cuantificar las películas de la expresión del indicador fluorescente, impartiendo así conocimientos sobre las características de regulación génica (véase 1 para una revisión), como la variación de célula a célula de 2,3, la formación persister bacteriana 4, la transcripción iniciación y elongación de 5, transcripción estallido 6,7, la dependencia del ciclo celular 8,9, y la heredabilidad 10. Sin embargo, obtaining series de tiempo de fluorescencia de una sola célula de calidad implica retos técnicos significativos en el cultivo de una monocapa de células en un entorno controlable y en la cuantificación de alto rendimiento de las películas de fluorescencia adquiridos. Aquí se describe un procedimiento para obtener y analizar películas de fluorescencia de S. cerevisiae sin experiencia requerida en la cultura fabricación dispositivo celular o en el desarrollo de software (Figura 1). En primer lugar, vamos a detallar un protocolo de ejemplo para generar fluorescencia películas de series de tiempo para la levadura en ciernes que expresa una o más reporteros fluorescentes. Aunque cámaras de cultivo de microfluidos personalizadas se han construido y empleado con éxito previamente 11-13, se utiliza un dispositivo de microfluidos disponible comercialmente de CellAsic (Hayward, CA). El sistema confina a las células de crecimiento monocapa y permite el control continuo de la perfusión del medio ambiente. El protocolo de microscopía que presentamos es un simple medio para obtener fluorescpelículas rencia de levadura en ciernes, pero cualquier modificación del protocolo experimental (un dispositivo de cultivo a medida, las condiciones de los medios de comunicación alternativos, etc.) que producen datos de la película de fluorescencia similares de células individuales de levadura pueden ser sustituidos. A continuación, presentamos el análisis de las películas mediante una interfaz gráfica de usuario (GUI) basada en software de MATLAB (Mathworks, Natick, MA), conocido como el GUI para Rapid Analysis of Time Series fluorescencia (INJERTOS), para extraer los datos de series de tiempo para las células individuales. INJERTOS tiene características similares al versátil software de código abierto paquete identificador de celda 14 en la segmentación y seguimiento de las células y en la extracción de la intensidad de fluorescencia y la información geométrica. Sin embargo, los injertos ofrece importantes características adicionales. En primer lugar, ofrece una fácil edición interactiva de segmentación y seguimiento de los resultados para comprobar la precisión de datos, en lugar de gating estadística de valores atípicos huellas región tras el análisis. Por otra parte, se extiende el análisis a automatically designado linaje y puntos del ciclo celular de interés de la levadura en ciernes. La determinación de cuando la madre y la hija se dividen para formar dos regiones independientes de células es crucial para la determinación de células enteras (incluyendo cualquier madre brote conectado) mediciones en todo el ciclo celular 8. La suite consta de tres módulos para realizar estas tareas. Las primeras regiones celulares segmentos basados ​​en el contraste entre las imágenes de campo claro enfocadas y desenfocadas, y permite al usuario definir y visualmente comprobar los parámetros de segmentación. El segundo pistas (. Utilizando Blair y ejecución MATLAB del Crocker et al IDL rutina de Dufresne, disponible en: <a href="http://physics.georgetown.edu/matlab/" target="_blank">http://physics.georgetown.edu/MATLAB/</a> ) y medidas de las regiones celulares a través del tiempo; asigna automáticamente linajes, y permite la inspección visual y corrección de errores. Una sencilla interfaz gráfica de usuario trazado se incluye a las propiedades de una sola célula de la consulta. El tercer módulo atribuye la yema aparición y división times, y da salida a datos de series temporales de células enteras, así como sus derivados primero y segundo de tiempo (como se discute en 9). El módulo de análisis da salida a los datos como un archivo de texto delimitado por espacios para estudio posterior en el software estadístico de elección. Por lo tanto, el paquete permite al usuario extraer datos de series temporales de alta calidad a través de una interfaz gráfica. Hemos utilizado este método para estimar las tasas de transcripción en tiempo real en células de levadura en ciernes individuales como una función del ciclo celular 9. Mientras que los módulos han sido optimizados para la levadura en ciernes, los parámetros o, si es necesario, el código libremente disponible se puede adaptar para otros organismos y tipos de imágenes. Segmentación, seguimiento, y el linaje algoritmos de asignación pueden ser específicos de los tipos de imagen afectados y el organismo en cuestión. Los algoritmos existentes podrían ser reemplazados, pero todavía conservan la interfaz gráfica de usuario que permite la inspección visual fácil de usar y corrección de errores de segmentación y de seguimiento que invariablemente ocupantesr con cualquier algoritmo.

<table border="1">
	<tbody>
		<tr>
			<td>Name of Reagent/Material</td>
			<td>Company</td>
			<td>Catalog Number</td>
			<td>Comments</td>
		</tr>
		<tr>
			<td>Y04C Yeast Perfusion Plate</td>
			<td>CellAsic</td>
			<td>Y04C-02</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>ONIX Microfluidic Perfusion Platform</td>
			<td>CellAsic</td>
			<td>EV-262</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>Axio Observer.Z1 Microscope</td>
			<td>Zeiss</td>
			<td>&nbsp;</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>Plan-Apochromat 63X/1.40 Oil DIC objective</td>
			<td>Zeiss</td>
			<td>440762-9904-000</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>Cascade II EMCCD camera</td>
			<td>Photometrics</td>
			<td>&nbsp;</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>Lumen 200 metal-halide arc lamp</td>
			<td>PRIOR Scientific</td>
			<td>&nbsp;</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>Triple-bandpass dichroic filter cube and excitation and emission filter set</td>
			<td>Chroma Technology Corp</td>
			<td>set #89006</td>
			<td>Used for YFP (Venus/Citrine), CFP (Cerulean), RFP (mCherry/tdTomato)</td>
		</tr>
		<tr>
			<td>MAC 5000 controller and filter wheels</td>
			<td>Ludl Electronic Products</td>
			<td>&nbsp;</td>
			<td>&nbsp;</td>
		</tr>
		<tr>
			<td>MATLAB R2011a</td>
			<td>Mathworks</td>
			<td>&nbsp;</td>
			<td>64-bit version handles large data files better than 32-bit</td>
		</tr>
	</tbody>
</table>

acquiring fluorescence time-lapse movies of budding yeast and analyzing single-cell dynamics using grafts

Microscopía de fluorescencia de lapso de tiempo se ha convertido en una herramienta poderosa en el estudio de muchos procesos biológicos a nivel de una sola célula. En particular, las películas que representan la dependencia temporal de la expresión génica dar una idea de la dinámica de su regulación, sin embargo, hay muchos desafíos técnicos para la obtención y el análisis de las películas de fluorescencia de las células individuales. Se describe aquí un protocolo simple utilizando un dispositivo de cultivo de microfluidos disponibles comercialmente para generar dichos datos, y una interfaz basada en MATLAB gráfica de usuario (GUI) basada en paquete de software para cuantificar las imágenes de fluorescencia. Los segmentos de software y células pistas, permite al usuario vicario visualmente errores en los datos, y asigna automáticamente linaje y tiempos de división. La interfaz gráfica de usuario analiza aún más la serie de tiempo para producir trazas de células enteras, así como sus derivados primero y segundo tiempo. Mientras que el software fue diseñado para S. cerevisiae, su modularidad y versatilidad deben permitir que to Servir como plataforma para el estudio de otros tipos de células, con algunas modificaciones.

Un experimento llevado a cabo con éxito y analizado producirá series de tiempo sobre todo continua de células enteras individuales con realismo asignado aparición del brote y los tiempos de división. Como un ejemplo, se realizó el protocolo anterior con una cepa de levadura haploide que expresa una copia integrada de la proteína fluorescente Cerulean (PPC) impulsado por el promotor ADH1 constitutivo de observar cómo el crecimiento y la expresión global pueden variar con el tiempo en las célul...

Watch this Scientific Journal Video about Acquiring Fluorescence Time-lapse Movies of Budding Yeast and Analyzing Single-cell Dynamics using GRAFTS at JoVE.com

Acquiring Fluorescence Time-lapse Movies of Budding Yeast and Analyzing Single-cell Dynamics using GRAFTS

Se presenta un protocolo sencillo para obtener películas de microscopía de fluorescencia de las células de levadura en crecimiento, y un paquete de software basado en GUI para extraer los datos de series de tiempo de una sola célula. El análisis incluye linaje automático y la asignación por división de tiempo integrado con inspección visual y manual de conservación de los datos de seguimiento.

La adquisición de fluorescencia Time-lapse películas de levadura en ciernes y el análisis de la dinámica de una sola célula con injertos

Fluorescence time-lapse microscopy has become a powerful tool in the study of many biological processes at the single-cell level. In particular, movies ...

acquiring-fluorescence-time-lapse-movies-budding-yeast-analyzing

Research

JoVE Journal

Biology

12.7K vistas.  Massachusetts Institute of Technology. Se presenta un protocolo sencillo para obtener películas de microscopía de fluorescencia de las células de levadura en crecimiento, y un paquete de software basado en GUI para extraer los datos de series de tiempo de una sola célula. El análisis incluye linaje automático y la asignación por división de tiempo integrado con inspección visual y manual de conservación de los datos de seguimiento.

Video: Acquiring Fluorescence Time-lapse Movies of Budding Yeast and Analyzing Single-cell Dynamics using GRAFTS

Measuring Replicative Life Span in the Budding Yeast

Aging is a degenerative process characterized by a progressive deterioration of cellular components and organelles resulting in mortality. The budding yeast Saccharomyces cerevisiae has been used extensively to study the biology of aging, and several determinants of yeast longevity have been shown to be conserved in multicellular eukaryotes, including worms, flies, and mice 1. Due to the lack of easily quantified age-associated phenotypes, aging in yeast has been assayed almost exclusively by measuring the life span of cells in different contexts, with two different life span paradigms in common usage 2. Chronological life span refers to the length of time that a mother cell can survive in a non-dividing, quiescence-like state, and is proposed to serve as a model for aging of post-mitotic cells in multicellular eukaryotes. Replicative life span, in contrast, refers the number of daughter cells produced by a mother cell prior to senescence, and is thought to provide a model of aging in mitotically active cells. Here we present a generalized protocol for measuring the replicative life span of budding yeast mother cells. The goal of the replicative life span assay is to determine how many times each mother cell buds. The mother and daughter cells can be easily differentiated by an experienced researcher using a standard light microscope (total magnification 160X), such as the Zeiss Axioscope 40 or another comparable model. Physical separation of daughter cells from mother cells is achieved using a manual micromanipulator equipped with a fiber-optic needle. Typical laboratory yeast strains produce 20-30 daughter cells per mother and one life span experiment requires 2-3 weeks.

In this article we present a general protocol for measuring the replicative life span of yeast mother cells.

Medición de Span replicativa vida en la levadura en ciernes

Aging is a degenerative process characterized by a progressive deterioration of cellular components and organelles resulting in mortality. The budding ...

Investigación

Biología

Time-lapse Imaging of Mitosis After siRNA Transfection

Changes in cellular organization and chromosome dynamics that occur during mitosis are tightly coordinated to ensure accurate inheritance of genomic and cellular content. Hallmark events of mitosis, such as chromosome movement, can be readily tracked on an individual cell basis using time-lapse fluorescence microscopy of mammalian cell lines expressing specific GFP-tagged proteins. In combination with RNAi-based depletion, this can be a powerful method for pinpointing the stage(s) of mitosis where defects occur after levels of a particular protein have been lowered. In this protocol, we present a basic method for assessing the effect of depleting a potential mitotic regulatory protein on the timing of mitosis. Cells are transfected with siRNA, placed in a stage-top incubation chamber, and imaged using an automated fluorescence microscope. We describe how to use software to set up a time-lapse experiment, how to process the image sequences to make either still-image montages or movies, and how to quantify and analyze the timing of mitotic stages using a cell-line expressing mCherry-tagged histone H2B. Finally, we discuss important considerations for designing a time-lapse experiment. This strategy is complementary to other approaches and offers the advantages of 1) sensitivity to changes in kinetics that might not be observed when looking at cells as a population and 2) analysis of mitosis without the need to synchronize the cell cycle using drug treatments. The visual information from such imaging experiments not only allows the sub-stages of mitosis to be assessed, but can also provide unexpected insight that would not be apparent from cell cycle analysis by FACS.

Here we describe a basic protocol to image and quantify the mitotic timing of live mammalian tissue culture cells after siRNA transfection.

Time-lapse de imágenes de mitosis después de la transfección de siRNA

Changes in cellular organization and chromosome dynamics that occur during mitosis are tightly coordinated to ensure accurate inheritance of genomic and ...

Recording Multicellular Behavior in Myxococcus xanthus Biofilms using Time-lapse Microcinematography

A swarm of the &delta;-proteobacterium Myxococcus xanthus contains millions of cells that act as a collective, coordinating movement through a series of signals to create complex, dynamic patterns as a response to environmental cues. These patterns are self-organizing and emergent; they cannot be predicted by observing the behavior of the individual cells. Using a time-lapse microcinematography tracking assay, we identified a distinct emergent pattern in M. xanthus called chemotaxis, defined as the directed movement of a swarm up a nutrient gradient toward its source 1.
In order to efficiently characterize chemotaxis via time-lapse microcinematography, we developed a highly modifiable plate complex (Figure 1) and constructed a cluster of 8 microscopes (Figure 2), each capable of capturing time-lapse videos. The assay is rigorous enough to allow consistent replication of quantifiable data, and the resulting videos allow us to observe and track subtle changes in swarm behavior. Once captured, the videos are transferred to an analysis/storage computer with enough memory to process and store thousands of videos. The flexibility of this setup has proven useful to several members of the M. xanthus community.

Recording Multicellular Behavior in Myxococcus xanthus Biofilms using Time-lapse Microcinematography

To study Myxococcus xanthus swarm behavior, we have designed a time-lapse microcinematography protocol that can be modified for different assays. It employs standard growth conditions adapted for microscopy, and yields reproducible results by the use of inexpensive, reusable silicone gaskets. We have used this method to quantify multicellular chemotaxis.

Registro del comportamiento multicelular en Myxococcus xanthus Las biopelículas con Time-lapse Microcinematography

A swarm of the &delta;-proteobacterium Myxococcus xanthus contains millions of cells that act as a collective, coordinating movement through a series of ...

Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy

Cell migration is a dynamic process, which is important for embryonic development, tissue repair, immune system function, and tumor invasion 1, 2. During directional migration, cells move rapidly in response to an extracellular chemotactic signal, or in response to intrinsic cues 3 provided by the basic motility machinery. Random migration occurs when a cell possesses low intrinsic directionality, allowing the cells to explore their local environment.
Cell migration is a complex process, in the initial response cell undergoes polarization and extends protrusions in the direction of migration 2. Traditional methods to measure migration such as the Boyden chamber migration assay is an easy method to measure chemotaxis in vitro, which allows measuring migration as an end point result. However, this approach neither allows measurement of individual migration parameters, nor does it allow to visualization of morphological changes that cell undergoes during migration.
Here, we present a method that allows us to monitor migrating cells in real time using video - time lapse microscopy. Since cell migration and invasion are hallmarks of cancer, this method will be applicable in studying cancer cell migration and invasion in vitro. Random migration of platelets has been considered as one of the parameters of platelet function 4, hence this method could also be helpful in studying platelet functions. This assay has the advantage of being rapid, reliable, reproducible, and does not require optimization of cell numbers. In order to maintain physiologically suitable conditions for cells, the microscope is equipped with CO2 supply and temperature thermostat. Cell movement is monitored by taking pictures using a camera fitted to the microscope at regular intervals. Cell migration can be calculated by measuring average speed and average displacement, which is calculated by Slidebook software.

This method allows monitoring of cells in real time and quantitative measurements of different cell migration parameters such as speed, displacement, and velocity. Unlike the traditional methods, this real time approach is not based on endpoint quantitative migration measurements; instead it allows monitoring and calculating different parameters continuously.

Análisis cuantitativo de la migración desordenada de las células mediante microscopía de Time-lapse vídeo

Cell migration is a dynamic process, which is important for embryonic development, tissue repair, immune system function, and tumor invasion 1, 2. During ...

Budding Yeast Protein Extraction and Purification for the Study of Function, Interactions, and Post-translational Modifications

Homogenization by bead beating is a fast and efficient way to release DNA, RNA, proteins, and metabolites from budding yeast cells, which are notoriously hard to disrupt. Here we describe the use of a bead mill homogenizer for the extraction of proteins into buffers optimized to maintain the functions, interactions and post-translational modifications of proteins. Logarithmically growing cells expressing the protein of interest are grown in a liquid growth media of choice. The growth media may be supplemented with reagents to induce protein expression from inducible promoters (e.g. galactose), synchronize cell cycle stage (e.g. nocodazole), or inhibit proteasome function (e.g. MG132). Cells are then pelleted and resuspended in a suitable buffer containing protease and/or phosphatase inhibitors and are either processed immediately or frozen in liquid nitrogen for later use. Homogenization is accomplished by six cycles of 20 sec&#160;bead-beating (5.5 m/sec), each followed by one minute incubation on ice. The resulting homogenate is cleared by centrifugation and small particulates can be removed by filtration. The resulting cleared whole cell extract (WCE) is precipitated using 20% TCA for direct analysis of total proteins by SDS-PAGE followed by Western blotting. Extracts are also suitable for affinity purification of specific proteins, the detection of post-translational modifications, or the analysis of co-purifying proteins. As is the case for most protein purification protocols, some enzymes and proteins may require unique conditions or buffer compositions for their purification and others may be unstable or insoluble under the conditions stated. In the latter case, the protocol presented may provide a useful starting point to empirically determine the best bead-beating strategy for protein extraction and purification. We show the extraction and purification of an epitope-tagged SUMO E3 ligase, Siz1, a cell cycle regulated protein that becomes both sumoylated and phosphorylated, as well as a SUMO-targeted ubiquitin ligase subunit, Slx5.

The preparation of high quality yeast cell extracts is a necessary first step in the analysis of individual proteins or entire proteomes. Here we describe a fast, efficient, and reliable homogenization protocol for budding yeast cells that has been optimized to preserve protein functions, interactions, and post-translational modifications.

Florecimiento extracción de proteínas de levadura y purificación para el Estudio de la función, las interacciones y modificaciones post-traduccionales

Homogenization by bead beating is a fast and efficient way to release DNA, RNA, proteins, and metabolites from budding yeast cells, which are notoriously ...

High-resolution Time-lapse Imaging and Automated Analysis of Microtubule Dynamics in Living Human Umbilical Vein Endothelial Cells

The physiological process by which new vasculature forms from existing vasculature requires specific signaling events that trigger morphological changes within individual endothelial cells (ECs). These processes are critical for homeostatic maintenance such as wound healing, and are also crucial in promoting tumor growth and metastasis. EC morphology is defined by the organization of the cytoskeleton, a tightly regulated system of actin and microtubule (MT) dynamics that is known to control EC branching, polarity and directional migration, essential components of angiogenesis. To study MT dynamics, we used high-resolution fluorescence microscopy coupled with computational image analysis of fluorescently-labeled MT plus-ends to investigate MT growth dynamics and the regulation of EC branching morphology and directional migration. Time-lapse imaging of living Human Umbilical Vein Endothelial Cells (HUVECs) was performed following transfection with fluorescently-labeled MT End Binding protein 3 (EB3) and Mitotic Centromere Associated Kinesin (MCAK)-specific cDNA constructs to evaluate effects on MT dynamics. PlusTipTracker software was used to track EB3-labeled MT plus ends in order to measure MT growth speeds and MT growth lifetimes in time-lapse images. This methodology allows for the study of MT dynamics and the identification of how localized regulation of MT dynamics within sub-cellular regions contributes to the angiogenic processes of EC branching and migration.

Protocols for Human Umbilical Vein Endothelial Cell (HUVEC) culture, transient transfection of fluorescently-labeled markers of microtubule growth, live-cell imaging and automated analysis of interphase microtubule growth dynamics are detailed.

-Alta resolución de imagen de lapso de tiempo y análisis automatizado de los microtúbulos en la dinámica de estar umbilical humana Las células endoteliales de vena

The physiological process by which new vasculature forms from existing vasculature requires specific signaling events that trigger morphological changes ...

Applications of pHluorin for Quantitative, Kinetic and High-throughput Analysis of Endocytosis in Budding Yeast

Green fluorescent protein (GFP) and its variants are widely used tools for studying protein localization and dynamics of events such as cytoskeletal remodeling and vesicular trafficking in living cells. Quantitative methodologies using chimeric GFP fusions have been developed for many applications; however, GFP is somewhat resistant to proteolysis, thus its fluorescence persists in the lysosome/vacuole, which can impede quantification of cargo trafficking in the endocytic pathway. An alternative method for quantifying endocytosis and post-endocytic trafficking events makes use of superecliptic pHluorin, a pH-sensitive variant of GFP that is quenched in acidic environments. Chimeric fusion of pHluorin to the cytoplasmic tail of transmembrane cargo proteins results in a dampening of fluorescence upon incorporation of the cargo into multivesicular bodies (MVBs) and delivery to the lysosome/vacuole lumen. Thus, quenching of vacuolar fluorescence facilitates quantification of endocytosis and early events in the endocytic pathway. This paper describes methods using pHluorin-tagged cargos for quantification of endocytosis via fluorescence microscopy, as well as population-based assays using flow cytometry.

Accurate quantification of vesicular trafficking events often provides key insights into roles for specific proteins and the effects of mutations. This paper presents methods for using superecliptic pHluorin, a pH-sensitive GFP variant, as a tool for quantification of endocytic events in living cells using quantitative fluorescence microscopy and flow cytometry.

Aplicaciones de pHluorin para cuantitativa, cinética y de alto rendimiento Análisis de la endocitosis de levadura en ciernes

Green fluorescent protein (GFP) and its variants are widely used tools for studying protein localization and dynamics of events such as cytoskeletal ...

Using Microfluidic Devices to Measure Lifespan and Cellular Phenotypes in Single Budding Yeast Cells

Budding yeast Saccharomyces cerevisiae is an important model organism in aging research. Genetic studies have revealed many genes with conserved effects on the lifespan across species. However, the molecular causes of aging and death remain elusive. To gain a systematic understanding of the molecular mechanisms underlying yeast aging, we need high-throughput methods to measure lifespan and to quantify various cellular and molecular phenotypes in single cells. Previously, we developed microfluidic devices to track budding yeast mother cells throughout their lifespan while flushing away newborn daughter cells. This article presents a method for preparing microfluidic chips and for setting up microfluidic experiments. Multiple channels can be used to simultaneously track cells under different conditions or from different yeast strains. A typical setup can track hundreds of cells per channel and allow for high-resolution microscope imaging throughout the lifespan of the cells. Our method also allows detailed characterization of the lifespan, molecular markers, cell morphology, and the cell cycle dynamics of single cells. In addition, our microfluidic device is able to trap a significant amount of fresh mother cells that can be identified by downstream image analysis, making it possible to measure the lifespan with higher accuracy.

This article presents a protocol optimized for the production of microfluidic chips and the setup of microfluidic experiments to measure the lifespan and cellular phenotypes of single yeast cells.

El uso de dispositivos de microfluidos para Medir Lifespan y Celular fenotipos en células individuales levadura en ciernes

Budding yeast Saccharomyces cerevisiae is an important model organism in aging research. Genetic studies have revealed many genes with conserved effects ...

High-resolution Imaging and Analysis of Individual Astral Microtubule Dynamics in Budding Yeast

Dynamic microtubules are fundamental to many cellular processes, and accurate measurements of microtubule dynamics can provide insight into how cells regulate these processes and how genetic mutations impact regulation. The quantification of microtubule dynamics in metazoan models has a number of associated challenges, including a high microtubule density and limitations on genetic manipulations. In contrast, the budding yeast model offers advantages that overcome these challenges. This protocol describes a method to measure the dynamics of single microtubules in living yeast cells. Cells expressing fluorescently tagged tubulin are adhered to assembled slide chambers, allowing for stable time-lapse image acquisition. A detailed guide for high-speed, four-dimensional image acquisition is also provided, as well as a protocol for quantifying the properties of dynamic microtubules in confocal image stacks. This method, combined with conventional yeast genetics, provides an approach that is uniquely suited for quantitatively assessing the effects of microtubule regulators or mutations that alter the activity of tubulin subunits.

Budding yeast is an advantageous model for studying microtubule dynamics in vivo due to its powerful genetics and the simplicity of its microtubule cytoskeleton. The following protocol describes how to transform and culture yeast cells, acquire confocal microscopy images, and quantitatively analyze microtubule dynamics in living yeast cells.

Imágenes de alta resolución y análisis de la dinámica de microtúbulos astrales individuales de levadura en ciernes

Dynamic microtubules are fundamental to many cellular processes, and accurate measurements of microtubule dynamics can provide insight into how cells ...

Examination of Mitotic and Meiotic Fission Yeast Nuclear Dynamics by Fluorescence Live-cell Microscopy

Live-cell imaging is a microscopy technique used to examine cell and protein dynamics in living cells. This imaging method is not toxic, generally does not interfere with cell physiology, and requires minimal experimental handling. The low levels of technical interference enable researchers to study cells across multiple cycles of mitosis and to observe meiosis from beginning to end. Using fluorescent tags such as Green Fluorescent Protein (GFP) and Red Fluorescent Protein (RFP), researchers can analyze different factors whose functions are important for processes like transcription, DNA replication, cohesion, and segregation. Coupled with data analysis using Fiji (a free, optimized ImageJ version), live-cell imaging offers various ways of assessing protein movement, localization, stability, and timing, as well as nuclear dynamics and chromosome segregation. However, as is the case with other microscopy methods, live-cell imaging is limited by the intrinsic properties of light, which put a limit to the resolution power at high magnifications, and is also sensitive to photobleaching or phototoxicity at high wavelength frequencies. However, with some care, investigators can bypass these physical limitations by carefully choosing the right conditions, strains, and fluorescent markers to allow for the appropriate visualization of mitotic and meiotic events.

Here, we present live-cell imaging which is a non-toxic microscopy method that allows researchers to study protein behavior and nuclear dynamics in living fission yeast cells during mitosis and meiosis.

Examen de la dinámica nuclear de levadura de ficción mitotica y meiótica por microscopía de células vivas de fluorescencia

Live-cell imaging is a microscopy technique used to examine cell and protein dynamics in living cells. This imaging method is not toxic, generally does ...