Explore the words cloud of the DECODE project. It provides you a very rough idea of what is the project "DECODE" about.
The following table provides information about the project.
THE FRANCIS CRICK INSTITUTE LIMITED
|Coordinator Country||United Kingdom [UK]|
|Total cost||195˙454 €|
|EC max contribution||195˙454 € (100%)|
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
|Duration (year-month-day)||from 2016-08-01 to 2018-07-31|
Take a look of project's partnership.
|1||THE FRANCIS CRICK INSTITUTE LIMITED||UK (LONDON)||coordinator||195˙454.00|
Owing to advances in sequencing technology, we are now beginning to understand the molecular mechanisms underlying cancer development and evolution. Tumours however are heterogeneous, often containing admixed normal cells and different (sub)clones, confounding interpretation of the massive amounts of data flowing from large initiatives such as the International Cancer Genome Consortium. To address this issue, I will develop methods that disentangle tumour bulk gene expression (RNA-Seq) and DNA methylation (Bisulphite-Seq) data to accurately reveal the states of the distinct underlying cell populations. The innovative algorithms will derive estimates of the allele-specific expression/methylation rates and tumour copy number profiles from the data and use them to separate the signal coming from the tumour from that of the normal cells. In a second step, the method leverages the wealth of available cancer ‘omics data using a recommender-system approach to complete the deconvolution. Careful validation will come from teasing apart computationally mixed pure samples as well as from ongoing and planned collaborative single-cell sequencing projects. A detailed analysis of tumour expression and DNA methylation heterogeneity on these single-cell datasets will guide further methodological advances. As an intrinsic part of the project, massive pan-cancer datasets will be deconvoluted. Drawing on the pure transcriptomes and epigenomes, I will construct a more comprehensive taxonomy of cancers, laying the basis for significant improvements in clinical prognostic prediction and personalised treatment. This project will shift the paradigm of genomic tumour heterogeneity to include the more actionable transcriptome and epigenome. In turn this will lead to a better understanding of how (epi)genomic alterations translate into the transcriptomic (and proteomic, interactomic, …) changes driving cancer evolution.
|year||authors and title||journal||last update|
Jiqiu Cheng, Jonas Demeulemeester, David C. Wedge, Hans Kristian M. Vollan, Jason J. Pitt, Hege G. Russnes, Bina P. Pandey, Gro Nilsen, Silje Nord, Graham R. Bignell, Kevin P. White, Anne-Lise BÃ¸rresen-Dale, Peter J. Campbell, Vessela N. Kristensen, Michael R. Stratton, Ole Christian LingjÃ¦rde, Yves Moreau, Peter Van Loo
Pan-cancer analysis of homozygous deletions in primary tumours uncovers rare tumour suppressors
published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-017-01355-0
|Nature Communications 8/1||2019-06-13|
Jonas Demeulemeester, Parveen Kumar, Elen K. MÃ¸ller, Silje Nord, David C. Wedge, April Peterson, Randi R. Mathiesen, Renathe Fjelldal, Masoud Zamani Esteki, Koen Theunis, Elia Fernandez Gallardo, A. Jason Grundstad, Elin Borgen, Lars O. Baumbusch, Anne-Lise BÃ¸rresen-Dale, Kevin P. White, Vessela N. Kristensen, Peter Van Loo, Thierry Voet, BjÃ¸rn Naume
Tracing the origin of disseminated tumor cells in breast cancer using single-cell sequencing
published pages: , ISSN: 1474-760X, DOI: 10.1186/s13059-016-1109-7
|Genome Biology 17/1||2019-06-13|
Matthew W. Fittall, William Mifsud, Nischalan Pillay, Hongtao Ye, Anna-Christina Strobl, Annelien Verfaillie, Jonas Demeulemeester, Lei Zhang, Fitim Berisha, Maxime Tarabichi, Matthew D. Young, Elena Miranda, Patrick S. Tarpey, Roberto Tirabosco, Fernanda Amary, Agamemnon E. Grigoriadis, Michael R. Stratton, Peter Van Loo, Cristina R. Antonescu, Peter J. Campbell, Adrienne M. Flanagan, Sam Behjati
Recurrent rearrangements of FOS and FOSB define osteoblastoma
published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-018-04530-z
|Nature Communications 9/1||2019-06-13|
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The information about "DECODE" are provided by the European Opendata Portal: CORDIS opendata.
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