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ARRAY SEQ

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Array tagged single cell gene expression by parallel linear RNA amplification an...

Array tagged single cell gene expression by parallel linear RNA amplification and sequencing In many biomedical research and clinical applications it would be tremendously useful to know the gene expression profile of each and every cell in a sample, be it a blood sample or tumor. At present, the most advanced single-cell... ver más

28/02/2017

TECHNION ISRAEL I...

150K€

Presupuesto del proyecto: 150K€

Líder del proyecto

TECHNION ISRAEL INSTITUTE OF TECHNOLOGY No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2017-02-28

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

ERC-PoC-2015: ERC Proof of Concept Grant

I+D

Cerrada hace 9 años

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2 Participantes

TECHNION ISRAEL INSTITUTE O...

150.00K€ | Lider

Z.I.V. COMMUNICATIONS

427.00K€ | Participante

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Últimas noticias

29-11-2024: IDAE En las últimas 48 horas el Organismo IDAE ha otorgado 4 concesiones

29-11-2024: ECE En las últimas 48 horas el Organismo ECE ha otorgado 2 concesiones

29-11-2024: CMVAMADRID En las últimas 48 horas el Organismo CMVAMADRID ha otorgado 37 concesiones

Duración del proyecto: 18 meses Fecha Inicio: 2015-08-18
Fecha Fin: 2017-02-28

Líder del proyecto

TECHNION ISRAEL INSTITUTE OF TECHNOLOGY

TRL 4-5

Presupuesto del proyecto 150K€

Descripción del proyecto In many biomedical research and clinical applications it would be tremendously useful to know the gene expression profile of each and every cell in a sample, be it a blood sample or tumor. At present, the most advanced single-cell technologies are limited to a few thousand cells by a laborious and expensive approach. We have invented a method allowing the determination of the transcriptomes of millions of cells in parallel, using array-based technique for tagging single cells. The protocol combines our previously published protocol for single cell transcriptomics – CEL-Seq – with a new membrane based system for capturing single cells and a DNA microarray for differentially tagging each cell in the membrane. If further developed into a commercial platform, our method could have tremendous impact on clinical and research transcriptomics. Our method requires no expensive equipment, low amounts of reagents and little hands-on, making it unlike any available protocol for single cell analysis. Our method also has great versatility as it can be used for analyzing up to a million cells, but can also be easily scaled down to several hundreds, promising to make it the state of the art protocol for any lab interested in single cell biology. Our method thus represents a game-changer because it completely reinvents the scale under which cells can be examined – affordably and without a need for expensive instruments – by at least three orders of magnitude. The aim of this project is to establish a user-friendly platform for our method that could be commercially available in the coming years. The developed platform will facilitate a large-scale ability to query cells; the breadth of possible research and personal medicine applications is unimaginable at present.

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