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1.
J Immunol ; 196(9): 3828-33, 2016 05 01.
Artículo en Inglés | MEDLINE | ID: mdl-26976957

RESUMEN

Leukocyte recruitment to inflammation sites progresses in a multistep cascade. Chemokines regulate multiple steps of the cascade, including arrest, transmigration, and chemotaxis. The most important chemokine receptor in mouse neutrophils is CXCR2, which couples through Gαi2- and Gαi3-containing heterotrimeric G proteins. Neutrophils arrest in response to CXCR2 stimulation. This is defective in Gαi2-deficient neutrophils. In this study, we show that Gαi3-deficient neutrophils showed reduced transmigration but normal arrest in mice. We also tested Gαi2- or Gαi3-deficient neutrophils in a CXCL1 gradient generated by a microfluidic device. Gαi3-, but not Gαi2-, deficient neutrophils showed significantly reduced migration and directionality. This was confirmed in a model of sterile inflammation in vivo. Gαi2-, but not Gαi3-, deficient neutrophils showed decreased Ca(2+) flux in response to CXCR2 stimulation. Conversely, Gαi3-, but not Gαi2-, deficient neutrophils exhibited reduced AKT phosphorylation upon CXCR2 stimulation. We conclude that Gαi2 controls arrest and Gαi3 controls transmigration and chemotaxis in response to chemokine stimulation of neutrophils.


Asunto(s)
Subunidad alfa de la Proteína de Unión al GTP Gi2/metabolismo , Subunidades alfa de la Proteína de Unión al GTP Gi-Go/metabolismo , Neutrófilos/inmunología , Animales , Señalización del Calcio/genética , Movimiento Celular/genética , Células Cultivadas , Quimiocina CXCL1/metabolismo , Quimiotaxis/genética , Subunidad alfa de la Proteína de Unión al GTP Gi2/genética , Subunidades alfa de la Proteína de Unión al GTP Gi-Go/genética , Ratones , Ratones de la Cepa 129 , Ratones Noqueados , Unión Proteica , Receptores de Interleucina-8B/metabolismo , Migración Transendotelial y Transepitelial/genética
2.
Proc Natl Acad Sci U S A ; 107(21): 9656-9, 2010 May 25.
Artículo en Inglés | MEDLINE | ID: mdl-20457897

RESUMEN

Chemotaxis, the chemically guided movement of cells, plays an important role in several biological processes including cancer, wound healing, and embryogenesis. Chemotacting cells are able to sense shallow chemical gradients where the concentration of chemoattractant differs by only a few percent from one side of the cell to the other, over a wide range of local concentrations. Exactly what limits the chemotactic ability of these cells is presently unclear. Here we determine the chemotactic response of Dictyostelium cells to exponential gradients of varying steepness and local concentration of the chemoattractant cAMP. We find that the cells are sensitive to the steepness of the gradient as well as to the local concentration. Using information theory techniques, we derive a formula for the mutual information between the input gradient and the spatial distribution of bound receptors and also compute the mutual information between the input gradient and the motility direction in the experiments. A comparison between these quantities reveals that for shallow gradients, in which the concentration difference between the back and the front of a 10-mum-diameter cell is <5%, and for small local concentrations (<10 nM) the intracellular information loss is insignificant. Thus, external fluctuations due to the finite number of receptors dominate and limit the chemotactic response. For steeper gradients and higher local concentrations, the intracellular information processing is suboptimal and results in a smaller mutual information between the input gradient and the motility direction than would have been predicted from the ligand-receptor binding process.


Asunto(s)
Quimiotaxis , Dictyostelium/citología , AMP Cíclico/metabolismo
3.
Lab Chip ; 10(3): 388-91, 2010 Feb 07.
Artículo en Inglés | MEDLINE | ID: mdl-20091013

RESUMEN

We present a system consisting of a microfluidic device made of gas-permeable polydimethylsiloxane (PDMS) with two layers of microchannels and a computer-controlled multi-channel gas mixer. Concentrations of oxygen in the liquid-filled flow channels of the device are imposed by flowing gas mixtures with desired oxygen concentrations through gas channels directly above the flow channels. Oxygen gradients with different linear, exponential, and non-monotonic shapes are generated in the same liquid-filled microchannel and reconfigured in real time. The system can be used to study directed migration of cells and the development of cell and tissue cultures under gradients of oxygen.


Asunto(s)
Análisis de Inyección de Flujo/instrumentación , Técnicas Analíticas Microfluídicas/instrumentación , Oxígeno/análisis , Oxígeno/química , Diseño Asistido por Computadora , Diseño de Equipo , Análisis de Falla de Equipo , Reproducibilidad de los Resultados , Sensibilidad y Especificidad
4.
Biomicrofluidics ; 6(2): 24109-2410916, 2012 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-22550555

RESUMEN

Mixing of liquids to produce solutions with different concentrations is one of the basic functionalities of microfluidic devices. Generation of specific temporal patterns of concentration in microfluidic devices is an important technique to study responses of cells and model organisms to variations in the chemical composition of their environment. Here, we present a simple microfluidic network that linearly converts pressure at an inlet into concentration of a soluble reagent in an observation region and also enables independent concurrent linear control of concentrations of two reagents. The microfluidic device has an integrated mixer channel with chaotic three-dimensional flow that facilitates rapid switching of concentrations in a continuous range. A simple pneumatic setup generating linear ramps of pressure is used to produce smooth linear ramps and triangular waves of concentration with different slopes. The use of chaotic vs. laminar mixers is discussed in the context of microfluidic devices providing rapid switching and generating temporal waves of concentration.

5.
Lab Chip ; 12(22): 4835-47, 2012 Nov 21.
Artículo en Inglés | MEDLINE | ID: mdl-23010909

RESUMEN

Aerotaxis, the directional motion of bacteria in gradients of oxygen, was discovered in the late 19th century and has since been reported in a variety of bacterial species. Nevertheless, quantitative studies of aerotaxis have been complicated by the lack of tools for generation of stable gradients of oxygen concentration, [O(2)]. Here we report a series of experiments on aerotaxis of Escherichia coli in a specially built experimental setup consisting of a computer-controlled gas mixer and a two-layer microfluidic device made of polydimethylsiloxane (PDMS). The setup enables generation of a variety of stable linear profiles of [O(2)] across a long gradient channel, with characteristic [O(2)] ranging from aerobic to microaerobic conditions. A suspension of E. coli cells is perfused through the gradient channel at a low speed, allowing cells enough time to explore the [O(2)] gradient, and the distribution of cells across the gradient channel is analyzed near the channel outlet at a throughput of >10(5) cells per hour. Aerotaxis experiments are performed in [O(2)] gradients with identical logarithmic slopes and varying mean concentrations, as well as in gradients with identical mean concentrations and varying slopes. Experiments in gradients with [O(2)] ranging from 0 to ~11.5% indicate that, in contrast to some previous reports, E. coli cells do not congregate at some intermediate level of [O(2)], but rather prefer the highest accessible [O(2)]. The presented technology can be applied to studies of aerotaxis of other aerobic and microaerobic bacteria.


Asunto(s)
Escherichia coli/citología , Técnicas Analíticas Microfluídicas/instrumentación , Movimiento , Dimetilpolisiloxanos/química , Relación Dosis-Respuesta a Droga , Escherichia coli/efectos de los fármacos , Movimiento/efectos de los fármacos , Oxígeno/farmacología
6.
Sci Signal ; 5(205): ra2, 2012 Jan 03.
Artículo en Inglés | MEDLINE | ID: mdl-22215733

RESUMEN

Adaptation in signaling systems, during which the output returns to a fixed baseline after a change in the input, often involves negative feedback loops and plays a crucial role in eukaryotic chemotaxis. We determined the dynamical response to a uniform change in chemoattractant concentration of a eukaryotic chemotaxis pathway immediately downstream from G protein-coupled receptors. The response of an activated Ras showed near-perfect adaptation, leading us to attempt to fit the results using mathematical models for the two possible simple network topologies that can provide perfect adaptation. Only the incoherent feedforward network accurately described the experimental results. This analysis revealed that adaptation in this Ras pathway is achieved through the proportional activation of upstream components and not through negative feedback loops. Furthermore, these results are consistent with a local excitation, global inhibition mechanism for gradient sensing, possibly with a Ras guanosine triphosphatase-activating protein acting as a global inhibitor.


Asunto(s)
Adaptación Fisiológica/fisiología , Quimiotaxis/fisiología , Dictyostelium/fisiología , Retroalimentación Fisiológica/fisiología , Modelos Biológicos , Receptores Acoplados a Proteínas G/metabolismo , Proteínas ras/metabolismo , Factores Quimiotácticos/metabolismo , AMP Cíclico/metabolismo , Proteínas Fluorescentes Verdes/metabolismo , Microscopía Fluorescente
7.
Integr Biol (Camb) ; 2(11-12): 659-68, 2010 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-20882228

RESUMEN

Cells respond to a variety of secreted molecules by modifying their physiology, growth patterns, and behavior. Motile bacteria and eukaryotic cells can sense extracellular chemoattractants and chemorepellents and alter their movement. In this way fibroblasts and leukocytes can find their way to sites of injury and cancer cells can home in on sites that are releasing growth factors. Social amoebae such as Dictyostelium are chemotactic to cAMP which they secrete several hours after they have initiated development. These eukaryotic cells are known to be able to sense extremely shallow gradients but the processes underlying their exquisite sensitivity are still largely unknown. In this study we determine the responses of developed cells of Dictyostelium discoideum to stable linear gradients of cAMP of varying steepness generated in 2 µm deep gradient chambers of microfluidic devices. The gradients are generated by molecular diffusion between two 80 µm deep flow-through channels, one of which is perfused with a solution of cAMP and the other with buffer, serving as continuously replenished source and sink. These low ceiling gradient chambers constrained the cells in the vertical dimension, facilitating confocal imaging, such that subcellular localization of fluorescently tagged proteins could be followed for up to 30 min without noticeable phototoxicity. Chemotactic cells enter these low ceiling chambers by flattening and elongating and then move almost as rapidly as unconstrained cells. By following the localization of activated Ras (RasGTP) using a Ras Binding Domain fused to Green Fluorescent Protein (RBD-GFP), we observed the rapid appearance of membrane associated patches at the tips of pseudopods. These patches remained associated with pseudopods while they continued to extend but were rapidly disassembled when pseudopods stalled and the cell moved past them. Likewise, fluorescence associated with localized RasGTP rapidly disappeared when the gradient was turned off. Correlation of the size and persistence of RasGTP patches with extension of pseudopods may set the rules for understanding how the signal transduction mechanisms convert a weak external signal to a strong directional bias.


Asunto(s)
Quimiotaxis/fisiología , Actinas/metabolismo , Rastreo Celular , Factores Quimiotácticos/farmacología , Quimiotaxis/efectos de los fármacos , AMP Cíclico/farmacología , Dictyostelium/efectos de los fármacos , Dictyostelium/genética , Dictyostelium/fisiología , Proteínas Fluorescentes Verdes/genética , Proteínas Fluorescentes Verdes/metabolismo , Técnicas Analíticas Microfluídicas/instrumentación , Seudópodos/fisiología , Proteínas Recombinantes de Fusión/genética , Proteínas Recombinantes de Fusión/metabolismo , Transducción de Señal , Proteínas ras/genética , Proteínas ras/metabolismo
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