Cel The immune system consists of a complex continuum of cell types that communicate with each other and non-immune tissues in homeostasis, and during infections, autoimmunity and cancer. Conventional transcriptional and functional profiling enabled by cell surface marker sorting has revealed a great deal about how specific cell types operate en masse, yet important transcriptional heterogeneity that exists within cell populations remains unexplored. High-throughput single cell RNA-seq can overcome this limitation by profiling entire transcriptomes of thousands of individual cells, revealing cell-to-cell variation by decoding patterns within populations masked in bulk transcriptomes. We will exploit this to dissect the mouse CD4+ T cell compartment, a heterogeneous white blood cell population that initiates adaptive immune responses.In AIM 1, we will chart the dynamics of in vivo CD4+ cell states in mouse before, during and after immune response challenges. By sequencing thousands of single cell transcriptomes, we will map the landscape of CD4+ T cell states in an unbiased, quantitative and comprehensive way. In AIM 2, we will predict key transcription factors, cell surface markers, and signalling molecules, including cytokines/chemokines in each cell state through novel computational approaches. Furthermore, our analyses will establish regulatory modules and networks of gene-gene interactions active in immune responses. In AIM 3, we will (a) confirm the in vivo impact of new cell states by performing adoptive cell transfer assays; and (b) validate our predictions of regulatory molecules and interactions using a massively parallel CRISPR/Cas knockout screen in vitro. This powerful integrated approach combines single cell RNA-sequencing, bioinformatics and genetic engineering to dissect CD4+ T cell states, a central compartment of mammalian adaptive immunity, and reveal basic principles of gene regulation. Słowa kluczowe Single cell genomics bioinformatics T helper cells Program(-y) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Temat(-y) ERC-CoG-2014 - ERC Consolidator Grant Zaproszenie do składania wniosków ERC-2014-CoG Zobacz inne projekty w ramach tego zaproszenia System finansowania ERC-COG - Koordynator GENOME RESEARCH LIMITED Wkład UE netto € 1 778 456,25 Adres The gibbs building, euston road 215 NW1 2BE London Zjednoczone Królestwo Zobacz na mapie Region London Inner London — West Camden and City of London Rodzaj działalności Research Organisations Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Środki z innych źródeł € 0,00 Beneficjenci (2) Sortuj alfabetycznie Sortuj według wkładu UE netto Rozwiń wszystko Zwiń wszystko GENOME RESEARCH LIMITED Zjednoczone Królestwo Wkład UE netto € 1 778 456,25 Adres The gibbs building, euston road 215 NW1 2BE London Zobacz na mapie Region London Inner London — West Camden and City of London Rodzaj działalności Research Organisations Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Środki z innych źródeł € 0,00 EUROPEAN MOLECULAR BIOLOGY LABORATORY Niemcy Wkład UE netto € 202 228,75 Adres Meyerhofstrasse 1 69117 Heidelberg Zobacz na mapie Region Baden-Württemberg Karlsruhe Heidelberg, Stadtkreis Rodzaj działalności Research Organisations Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Środki z innych źródeł € 0,00
