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A Genetic View of Influenza Infection

Total Cost €


EC-Contrib. €






Project "GV-FLU" data sheet

The following table provides information about the project.


Organization address
address: RAMAT AVIV
city: TEL AVIV
postcode: 69978

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Israel [IL]
 Project website
 Total cost 1˙497˙000 €
 EC max contribution 1˙497˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-STG
 Funding Scheme ERC-STG
 Starting year 2015
 Duration (year-month-day) from 2015-07-01   to  2021-06-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TEL AVIV UNIVERSITY IL (TEL AVIV) coordinator 1˙497˙000.00


 Project objective

Inherited variation in the quantity and functionality of immune cells plays a key role in determining phenotypic diversity between individuals. Surprisingly little is known, however, about the specific contribution of immune cell subsets to variation in phenotypes such as susceptibility to infectious diseases and the underlying genetic variation. In many complex diseases, we currently have a poor understanding of the driver cell types that are responsible for inherited variation in disease states. A comprehensive mapping of quantities and functions of immune cell types during the course of disease, in large cohorts, bears the potential to transform genetic research; provides understanding of the genetic and immune basis of phenotypes; and reveals the key driver cell subsets.

Here I aim to derive a mechanistic understanding of how variation in quantity and function of immune cell subsets mediates inherited variation in disease states. I propose to develop a computational model that integrates predicted quantities and functions of cell subsets with genotypic and phenotypic information, leading to specific hypotheses on physiological regulation and the particular cell subsets that drive phenotypic diversity. To circumvent the technical difficulty in quantifying a large number of immune cell types, I will profile gene expression and computationally quantify changes in a large number of cell types. I will develop and apply this strategy to dissect Influenza infection in mice.

Since changes in immune responses play a key role in complex diseases, our ability to predict variation in immune responses from genotypes would have important clinical implications. This project has far reaching implications as the paradigm developed here will transform quantitative genetics studies as well as systems immunology research of complex disease. This approach will be applicable to any mammalian disease, allowing researchers to dissect their own systems at unprecedented detail.


year authors and title journal last update
List of publications.
2018 Yael Steuerman, Merav Cohen, Naama Peshes-Yaloz, Liran Valadarsky, Ofir Cohn, Eyal David, Amit Frishberg, Lior Mayo, Eran Bacharach, Ido Amit, Irit Gat-Viks
Dissection of Influenza Infection In Vivo by Single-Cell RNA Sequencing
published pages: 679-691.e4, ISSN: 2405-4712, DOI: 10.1016/j.cels.2018.05.008
Cell Systems 6/6 2020-03-05
2016 Amit Frishberg, Avital Brodt, Yael Steuerman, Irit Gat-Viks
ImmQuant: a user-friendly tool for inferring immune cell-type composition from gene-expression data
published pages: 3842-3843, ISSN: 1367-4803, DOI: 10.1093/bioinformatics/btw535
Bioinformatics 32/24 2020-01-24
2016 Maya Botzman, Aharon Nachshon, Avital Brodt, Irit Gat-Viks
POEM: Identifying Joint Additive Effects on Regulatory Circuits
published pages: , ISSN: 1664-8021, DOI: 10.3389/fgene.2016.00048
Frontiers in Genetics 7 2020-01-24
2016 Yael Steuerman, Irit Gat-Viks
Exploiting Gene-Expression Deconvolution to Probe the Genetics of the Immune System
published pages: e1004856, ISSN: 1553-7358, DOI: 10.1371/journal.pcbi.1004856
PLOS Computational Biology 12/4 2020-01-24

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