Explore the words cloud of the RetroNets project. It provides you a very rough idea of what is the project "RetroNets" about.
The following table provides information about the project.
Coordinator |
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Organization address contact info |
Coordinator Country | Switzerland [CH] |
Total cost | 1˙993˙858 € |
EC max contribution | 1˙993˙858 € (100%) |
Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
Code Call | ERC-2016-COG |
Funding Scheme | ERC-COG |
Starting year | 2017 |
Duration (year-month-day) | from 2017-04-01 to 2022-03-31 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE | CH (LAUSANNE) | coordinator | 1˙993˙858.00 |
Gene regulatory networks (GRNs) are an important cellular signal processing mechanism for translating input signals into appropriate phenotypes by modulating expression of the genome. The quantitative details of how cells process information through GRNs are still poorly understood, but of central importance in a large number of biological processes. Considerable progress has been made in mapping the topology of GRNs and more recently in deciphering the relationship between promoter sequence and function. Nonetheless, it is not yet possible to computationally predict the output of most native promoters, nor is it trivial to build promoters that integrate signals in a novel and predictive manner. Developing a quantitative understanding of transcriptional regulation, ultimately leading to the ability to predict entire GRNs will be a significant achievement and a prerequisite for our ability to engineer biological systems. I propose a multi-disciplinary approach incorporating biology, engineering, and computational modelling to improve our quantitative understanding by reverse engineering GRNs in S. cerevisiae. My research group has developed a powerful set of unique, high-throughput microfluidic technologies that enable the quantitative analysis of GRNs in vitro and in vivo. Specifically I propose to quantitatively investigate the yeast phosphate regulatory network and to develop a master model capable of predicting output of the network under various inorganic phosphate concentrations, to develop novel approaches for modulating GRNs using engineered Zn-finger transcription factors (TF) and CRISPR/Cas, to link GRN output to fitness in order to develop an understanding of how networks are optimized and evolve, and to reverse engineer an exact functional copy of the native phosphate regulatory network with orthogonal components.
year | authors and title | journal | last update |
---|---|---|---|
2019 |
Zoe Swank, Nadanai Laohakunakorn, Sebastian J. Maerkl Cell-free gene-regulatory network engineering with synthetic transcription factors published pages: 5892-5901, ISSN: 0027-8424, DOI: 10.1073/pnas.1816591116 |
Proceedings of the National Academy of Sciences 116/13 | 2020-04-24 |
2017 |
Kristina Woodruff, Sebastian J. Maerkl Microfluidic Module for Real-Time Generation of Complex Multimolecule Temporal Concentration Profiles published pages: 696-701, ISSN: 0003-2700, DOI: 10.1021/acs.analchem.7b04099 |
Analytical Chemistry 90/1 | 2020-04-24 |
2018 |
Jui-Chia Chang, Zoe Swank, Oliver Keiser, Sebastian J. Maerkl, Esther Amstad Microfluidic device for real-time formulation of reagents and their subsequent encapsulation into double emulsions published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-018-26542-x |
Scientific Reports 8/1 | 2020-04-24 |
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "RETRONETS" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "RETRONETS" are provided by the European Opendata Portal: CORDIS opendata.