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SINGLECELLDYNAMICS

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Cerrado

Optofluidic toolkit for characterizing single cell dynamics in systems immunolog...

Optofluidic toolkit for characterizing single cell dynamics in systems immunology Immune cells constantly receive signalling inputs such as pathogen-emitted molecules, use gene regulatory pathways to process these signals, and generate outputs by secreting signalling molecules like cytokines. Characterizing the... ver más

30/09/2018

ETH Zürich

1M€

Presupuesto del proyecto: 1M€

Líder del proyecto

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH No se ha especificado una descripción o un objeto social para esta compañía.

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2018-09-30 No tenemos la información de la convocatoria

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1 Participantes

ETH Zürich

0.00€ | Lider

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Líder del proyecto

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 1M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Immune cells constantly receive signalling inputs such as pathogen-emitted molecules, use gene regulatory pathways to process these signals, and generate outputs by secreting signalling molecules like cytokines. Characterizing the input-output relationship of a biological system helps understanding its regulatory mechanisms, and allows building models to predict how the system will operate in complex physiological scenarios, such as population tissue response to infection. A major obstacle in this endeavor has been the so-called biological noise, or significant variability in measured molecular parameters between cells. Such variability makes time-dependent single-cell analysis crucial to understand how biological systems operate. Development of new analytical tools with improved functionality, accuracy, and throughput is needed to realize the full potential of single-cell analysis. We propose to develop automated, high-throughput, Optofluidic single-cell analysis systems with unprecedented capabilities, and to use them in understanding how immune cells organize in tissue during response to infection. Microfluidic membrane-valves, nanodroplets, optics, and automation will be integrated to achieve an unparalleled degree of control over single immune cells. Multi-functional lab-on-chip devices will simultaneously measure: a) The activity of immune regulatory proteins such as NF-κB, and b) Inflammatory cytokines secreted from single immune cells in a time-dependent manner, under precisely defined biochemical inputs. Characterizing macrophage cytokine secretion dynamics under combinatorial regiments of bacterial and apoptotic-cell signals will allow dissecting the signalling mechanism responsible from the resolution of inflammation. We will identify the role of the NF-κB pathway in regulation of cytokine dynamics. We will use our data to develop a computer model of tissue-level immune response to pathogens through the NF-κB pathway and cytokine signaling.

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