SENSEI
Sequence-Enabled Single cEll Identification device
Total Cost €
0EC-Contrib. €
0Partnership
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0SENSEI project word cloud
Explore the words cloud of the SENSEI project. It provides you a very rough idea of what is the project "SENSEI" about.
Project "SENSEI" data sheet
The following table provides information about the project.
| Coordinator |
WEIZMANN INSTITUTE OF SCIENCE
Organization address contact info |
| Coordinator Country | Israel [IL] |
| Total cost | 150˙000 € |
| EC max contribution | 150˙000 € (100%) |
| Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
| Code Call | ERC-2014-PoC |
| Funding Scheme | ERC-POC |
| Starting year | 2015 |
| Duration (year-month-day) | from 2015-02-01 to 2016-07-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | WEIZMANN INSTITUTE OF SCIENCE | IL (REHOVOT) | coordinator | 150˙000.00 |
Map
Project objective
The dynamics of cell populations within tissues and organs is a hallmark of multi-cellular organisms. In many pathological states (e.g. cancer, diabetes etc) the functions and quantities of specific cell populations change. The ability to simultaneously and effectively monitor these functions and changes is essential for the study of these pathologies and the development of diagnostics and treatment. While single cell profiling is a multi billion dollar market, currently, unbiased and comprehensive classification of tissues into well-defined and functionally coherent cell subpopulations is impossible due to limitations in technology. Here we propose commercialize a technology we recently developed and published (Jaitin et al Science 2014) - Sequence-Enabled Single cEll identification (SENSEI) - based on massively parallel sequencing of RNA from single cells. Using broad sampling of single cell functional states from multi-cellular tissues we reconstruct biological functions in a bottom-up fashion, starting from the most basic building block – the cell. The potential benefits of this invention are blatantly evident. Since cells are the basic building blocks of multi cellular organisms accurate and dynamic description of cell states and functions is essential for both basic biological research and personalized medicine clinical applications. Our technique is immediately applicable in molecular biology labs, clinics or industry, requires no specific equipment beyond our developed consumables and can provide data on RNAs from hundreds of single cells at the cost of one standard average gene expression profile. Massively parallel single cell RNA sequencing is therefore emerging as a super high-resolution, robust and affordable approach for unbiased functional characterization of complex tissues and is likely going to dramatically change molecular research and have profound clinical applications.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2016 |
Meital Gury-BenAri, Christoph A. Thaiss, Nicolas Serafini, Deborah R. Winter, Amir Giladi, David Lara-Astiaso, Maayan Levy, Tomer Meir Salame, Assaf Weiner, Eyal David, Hagit Shapiro, Mally Dori-Bachash, Meirav Pevsner-Fischer, Erika Lorenzo-Vivas, Hadas Keren-Shaul, Franziska Paul, Alon Harmelin, Gérard Eberl, Shalev Itzkovitz, Amos Tanay, James P. Di Santo, Eran Elinav, Ido Amit The Spectrum and Regulatory Landscape of Intestinal Innate Lymphoid Cells Are Shaped by the Microbiome published pages: 1231-1246.e13, ISSN: 0092-8674, DOI: 10.1016/j.cell.2016.07.043 |
Cell 166/5 | 2019-07-23 |
| 2016 |
O. Matcovitch-Natan, D. R. Winter, A. Giladi, S. Vargas Aguilar, A. Spinrad, S. Sarrazin, H. Ben-Yehuda, E. David, F. Zelada Gonzalez, P. Perrin, H. Keren-Shaul, M. Gury, D. Lara-Astaiso, C. A. Thaiss, M. Cohen, K. Bahar Halpern, K. Baruch, A. Deczkowska, E. Lorenzo-Vivas, S. Itzkovitz, E. Elinav, M. H. Sieweke, M. Schwartz, I. Amit Microglia development follows a stepwise program to regulate brain homeostasis published pages: aad8670-aad8670, ISSN: 0036-8075, DOI: 10.1126/science.aad8670 |
Science 353/6301 | 2019-07-23 |
| 2015 |
Franziska Paul, Ya’ara Arkin, Amir Giladi, Diego Adhemar Jaitin, Ephraim Kenigsberg, Hadas Keren-Shaul, Deborah Winter, David Lara-Astiaso, Meital Gury, Assaf Weiner, Eyal David, Nadav Cohen, Felicia Kathrine Bratt Lauridsen, Simon Haas, Andreas Schlitzer, Alexander Mildner, Florent Ginhoux, Steffen Jung, Andreas Trumpp, Bo Torben Porse, Amos Tanay, Ido Amit Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors published pages: 1663-1677, ISSN: 0092-8674, DOI: 10.1016/j.cell.2015.11.013 |
Cell 163/7 | 2019-07-23 |
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