TRANSLATE

Noncoding and Translational Modulation of Gene Expression and Epigenetic Changes

 Coordinatore UNIVERSITA DEGLI STUDI DI MILANO 

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 Nazionalità Coordinatore Italy [IT]
 Totale costo 2˙496˙000 €
 EC contributo 2˙496˙000 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2013-ADG
 Funding Scheme ERC-AG
 Anno di inizio 2014
 Periodo (anno-mese-giorno) 2014-05-01   -   2019-04-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    FONDAZIONE ISTITUTO NAZIONALE DI GENETICA MOLECOLARE INGM

 Organization address address: Via Francesco Sforza 35
city: MILANO
postcode: 20122

contact info
Titolo: Mr.
Nome: Stefano
Cognome: Apollonio
Email: send email
Telefono: +39 02 00660209
Fax: +39 02 00660216

IT (MILANO) beneficiary 1˙716˙160.00
2    UNIVERSITA DEGLI STUDI DEL PIEMONTE ORIENTALE AMEDEO AVOGADRO

 Organization address address: DUOMO 6
city: VERCELLI
postcode: 13100

contact info
Titolo: Mrs.
Nome: Cristina
Cognome: Coloccini
Email: send email
Telefono: 390161000000
Fax: 390161000000

IT (VERCELLI) beneficiary 42˙251.26
3    UNIVERSITA DEGLI STUDI DI MILANO

 Organization address address: Via Festa Del Perdono 7
city: MILANO
postcode: 20122

contact info
Titolo: Ms.
Nome: Stefania
Cognome: Varotto
Email: send email
Telefono: +39 0250315037

IT (MILANO) hostInstitution 737˙588.74
4    UNIVERSITA DEGLI STUDI DI MILANO

 Organization address address: Via Festa Del Perdono 7
city: MILANO
postcode: 20122

contact info
Titolo: Prof.
Nome: Stefano
Cognome: Biffo
Email: send email
Telefono: +39 02 00660304
Fax: +39 02 50315040

IT (MILANO) hostInstitution 737˙588.74

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

stress    vivo    mrnas    viral    accumulation    machinery    first    translational    time    generate    proteins    human    metabolic    model    observation    cells    ribosomal    upstream    cell    reprogramming    gene    infection    eif    expression    label    translation   

 Obiettivo del progetto (Objective)

'Gene expression studies rely on high throughput techniques, which do not take in account conceptual limits. I will overcome this situation by exploiting two biological facts. First, RNAs that are important in tissue function are a subset of the global mass, but are always associated with the ribosomal machinery and as such should be identified. Second, gene expression is the outcome of dynamic fluctuations that with time create a unique expression pattern. We need to dynamically label cell populations that undergo stress and follow them to generate a gene expression signature. To achieve my goal, I will consider: 1. Translational stress generated by viral infection or accumulation of misfolded proteins; 2. human CD4 T lymphocyte subsets which are key to orchestrate immune responses; 3. EIF6 model of metabolic reprogramming. 1. Activation of eIF2alpha phosphorylation by viral infection generates a translational response in which silent mRNAs containing upstream ORFs (uORF) are translated. I will exploit this observation to construct the first in vivo reporter model of translational stress. We will label genetically cells that have translational stress, to identify all the changes that a single cell undergoes after viral infection/accumulation of undegraded proteins. 2. I will selectively sequence for the first time mRNAs and ncRNAs associated with the ribosomal machinery in human cells with a defined functional status. 3. Spectacular data have shown that translation factor eIF6 regulates tumorigenesis by inducing a profound metabolic reprogramming. This observation suggests that, in vivo, translation acts upstream of transcription. We will model how a short translational input results in a complex epigenetic change. Significance: a revolution in finding biomarkers/drug targets. Generate a map of predictors of the process from stress to disease. Dscriminate biologically active sequences from background. Define how transient translation reshapes gene expression.'

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