TOAFOLNR
Exploring the dark matter of the human brain transcriptome: The origin and function of long non-coding RNAs
| Coordinatore | THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Organization address
address: University Offices, Wellington Square contact info |
| Nazionalità Coordinatore | United Kingdom [UK] |
| Totale costo | 181˙350 € |
| EC contributo | 181˙350 € |
| Programma | FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
| Code Call | FP7-PEOPLE-IEF-2008 |
| Funding Scheme | MC-IEF |
| Anno di inizio | 2010 |
| Periodo (anno-mese-giorno) | 2010-01-15 - 2012-01-14 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Organization address
address: University Offices, Wellington Square contact info |
UK (OXFORD) | coordinator | 181˙350.77 |
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Obiettivo del progetto (Objective)
'Genome-wide transcription maps of different model species [1-5] reveal an unforeseen number of transcribed DNA segments lacking protein-coding potential [1, 2, 4, 5]. These non-protein-coding RNAs (ncRNAs) are frequently expressed in the brain [6] and, although generally acknowledged as functionally relevant, the biological role of most long ncRNAs remains unclear mainly due to the lack of prediction tools and testable hypotheses. Recent work in the host institution indicates that some brain-expressed ncRNAs regulate the transcription of adjacent protein-coding genes thus providing a criterion to target long ncRNA for further characterization (Ponjavic, J. et al submitted). We propose to compile and analyze a catalog of human long ncRNAs and use it to understand when and how these transcripts emerged during evolution. Using a combination of in silico and in vitro experiments we will identify and functionally characterize long ncRNAs in the human genome, and test the recent hypothesis that some of these transcripts are involved in the transcriptional regulation of their adjacent protein-coding genes. We will particularly focus on transcripts that are specific to primates, as these are more likely to contribute to recently emerged features of the human brain including their relative increase in brain size and complexity. The proposed identification and functional characterization of young brain-expressed ncRNAs is timely and combines the applicant’s expertises in protein-coding gene evolution and the computational and ncRNA competences available in the host institution.'