SINGLE-CELL GENOMICS

Single-cell Gene Regulation in Differentiation and Pluripotency

 Coordinatore KAROLINSKA INSTITUTET 

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 Nazionalità Coordinatore Sweden [SE]
 Totale costo 1˙654˙383 €
 EC contributo 1˙654˙383 €
 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-2009-StG
 Funding Scheme ERC-SG
 Anno di inizio 2010
 Periodo (anno-mese-giorno) 2010-02-01   -   2015-01-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    KAROLINSKA INSTITUTET

 Organization address address: Nobels Vag 5
city: STOCKHOLM
postcode: 17177

contact info
Titolo: Dr.
Nome: Thore Rickard Hakan
Cognome: Sandberg
Email: send email
Telefono: +46-8-5248 3986

SE (STOCKHOLM) hostInstitution 1˙654˙383.60
2    KAROLINSKA INSTITUTET

 Organization address address: Nobels Vag 5
city: STOCKHOLM
postcode: 17177

contact info
Titolo: Ms.
Nome: Riitta
Cognome: Ljungström
Email: send email
Telefono: 46852487321
Fax: 468339380

SE (STOCKHOLM) hostInstitution 1˙654˙383.60

Mappa


 Word cloud

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alternative    expression    gene    quantitative    resolution    pluripotent    sequencing    regulation    model    mrna    cell    isoform    individual    deep    cells    genome    computational    biology    single    transcriptomes   

 Obiettivo del progetto (Objective)

'We aim to study transcriptomes with single-cell resolution, a long-standing goal in biology, to answer fundamental questions about gene regulation. The main objective concerns gene regulation during in vivo differentiation and in pluripotent cells by studying single-cells from murine preimplantation embryos, a model system with natural single-cell resolution, important biology and medical potential. This would also allow us to explore general regulatory principles of gene expression programs of individual cells. This research program will be accomplished by novel deep sequencing technology of mRNAs (mRNA-Seq) to obtain quantitative, unbiased and genome-wide gene and isoform expression measurements. We are therefore developing new experimental and computational methods for genome-wide analyses of transcriptomes at single-cell resolution. The biological significances of the proposed research are unique insights into early embryonic development. Deep sequencing of transcriptomes will also reveal post-transcriptional gene regulation important for pluripotent cells and identified pluripotency-specific gene and isoform expressions will be important for future stem cell based therapies. The inherit single-cell nature of the model system together with its important biology makes it a model systems exceptionally well suited for a systems biology approach aiming to characterize gene regulation at single-cell resolution. The novel methodology has tremendous potential to enable complete mRNA characterization of individual cells. The deep sequencing approach with state-of-the-art computational analyses is both more quantitative than previous methods and it will give readouts on alternative isoforms generated by alternative promoters, splicing and polyadenylation.'

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