Explore the words cloud of the nextDART project. It provides you a very rough idea of what is the project "nextDART" about.
The following table provides information about the project.
Coordinator |
DANMARKS TEKNISKE UNIVERSITET
Organization address contact info |
Coordinator Country | Denmark [DK] |
Total cost | 1˙499˙070 € |
EC max contribution | 1˙499˙070 € (100%) |
Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
Code Call | ERC-2015-STG |
Funding Scheme | ERC-STG |
Starting year | 2016 |
Duration (year-month-day) | from 2016-06-01 to 2021-05-31 |
Take a look of project's partnership.
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1 | DANMARKS TEKNISKE UNIVERSITET | DK (KGS LYNGBY) | coordinator | 1˙499˙070.00 |
Our current ability to map T-cell reactivity to certain molecular patterns poorly matches the huge diversity of T-cell recognition in humans. Our immune system holds approximately 107 different T-cell populations patrolling our body to fight intruding pathogens. Current state-of-the-art T-cell detection enables the detection of 45 different T-cell specificities in a given sample. Therefore comprehensive analysis of T-cell recognition against intruding pathogens, auto-immune attacked tissues or cancer is virtually impossible. To gain insight into immune recognition and allow careful target selection for disease intervention, also on a personalized basis, we need technologies that allow detection of vast numbers of different T-cell specificities with high sensitivity in small biological samples. I propose here a new technology based on multimerised peptide-major histocompatibility complex I (MHC I) reagents that allow detection of >1000 different T-cell specificities with high sensitivity in small biological samples. I will use this new technology to gain insight into the T-cell recognition of cancer cells and specifically assess the impact of mutation-derived neo-epitopes on T cell-mediated cancer cell recognition. A major advantage of this new technology relates to the ability of coupling the antigen specificity to the T-cell receptor sequence. This will enable us to retrieve information about T-cell receptor sequences coupled with their molecular recognition pattern, and develop a predictor of binding between T-cell receptors and specific epitopes. It will ultimately enable us to predict immune recognition based on T-cell receptor sequences, and has the potential to truly transform our understanding of T cell immunology. Advances in our understanding of T cell immunology are leading to massive advances in the treatment of cancer. The technologies I propose to develop and validate will greatly aid this process and have application for all immune related diseases.
year | authors and title | journal | last update |
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2016 |
Amalie Kai Bentzen, Andrea Marion Marquard, Rikke Lyngaa, Sunil Kumar Saini, Sofie Ramskov, Marco Donia, Lina Such, Andrew J S Furness, Nicholas McGranahan, Rachel Rosenthal, Per thor Straten, Zoltan Szallasi, Inge Marie Svane, Charles Swanton, Sergio A Quezada, Søren Nyboe Jakobsen, Aron Charles Eklund, Sine Reker Hadrup Large-scale detection of antigen-specific T cells using peptide-MHC-I multimers labeled with DNA barcodes published pages: 1037-1045, ISSN: 1087-0156, DOI: 10.1038/nbt.3662 |
Nature Biotechnology 34/10 | 2019-07-08 |
2017 |
Anne-Mette Bjerregaard, Morten Nielsen, Vanessa Jurtz, Carolina M. Barra, Sine Reker Hadrup, Zoltan Szallasi, Aron Charles Eklund An Analysis of Natural T Cell Responses to Predicted Tumor Neoepitopes published pages: , ISSN: 1664-3224, DOI: 10.3389/fimmu.2017.01566 |
Frontiers in Immunology 8 | 2019-08-06 |
2019 |
Amalie Kai Bentzen, Sine Reker Hadrup T-cell-receptor cross-recognition and strategies to select safe T-cell receptors for clinical translation published pages: 1-10, ISSN: 2590-0188, DOI: 10.1016/j.iotech.2019.06.003 |
Immuno-Oncology Technology 2 | 2019-08-29 |
2016 |
Els M. E. Verdegaal, Noel F. C. C. de Miranda, Marten Visser, Tom Harryvan, Marit M. van Buuren, Rikke S. Andersen, Sine R. Hadrup, Caroline E. van der Minne, Remko Schotte, Hergen Spits, John B. A. G. Haanen, Ellen H. W. Kapiteijn, Ton N. Schumacher, Sjoerd H. van der Burg Neoantigen landscape dynamics during human melanoma–T cell interactions published pages: 91-95, ISSN: 0028-0836, DOI: 10.1038/nature18945 |
Nature 536/7614 | 2019-08-05 |
2018 |
A S Attermann, A -M Bjerregaard, S K Saini, K Grønbæk, S R Hadrup Human endogenous retroviruses and their implication for immunotherapeutics of cancer published pages: 2183-2191, ISSN: 0923-7534, DOI: 10.1093/annonc/mdy413 |
Annals of Oncology 29/11 | 2019-08-05 |
2016 |
N. McGranahan, A. J. S. Furness, R. Rosenthal, S. Ramskov, R. Lyngaa, S. K. Saini, M. Jamal-Hanjani, G. A. Wilson, N. J. Birkbak, C. T. Hiley, T. B. K. Watkins, S. Shafi, N. Murugaesu, R. Mitter, A. U. Akarca, J. Linares, T. Marafioti, J. Y. Henry, E. M. Van Allen, D. Miao, B. Schilling, D. Schadendorf, L. A. Garraway, V. Makarov, N. A. Rizvi, A. Snyder, M. D. Hellmann, T. Merghoub, J. D. Wolchok, Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade published pages: 1463-1469, ISSN: 0036-8075, DOI: 10.1126/science.aaf1490 |
Science 351/6280 | 2019-08-05 |
2018 |
Amalie K Bentzen, Lina Such, Kamilla K Jensen, Andrea M Marquard, Leon E Jessen, Natalie J Miller, Candice D Church, Rikke Lyngaa, David M Koelle, Jürgen C Becker, Carsten Linnemann, Ton N M Schumacher, Paolo Marcatili, Paul Nghiem, Morten Nielsen, Sine R Hadrup T cell receptor fingerprinting enables in-depth characterization of the interactions governing recognition of peptide–MHC complexes published pages: 1191-1196, ISSN: 1087-0156, DOI: 10.1038/nbt.4303 |
Nature Biotechnology 36/12 | 2019-08-05 |
2019 |
Sunil Kumar Saini, Tripti Tamhane, Raghavendra Anjanappa, Ankur Saikia, Sofie Ramskov, Marco Donia, Inge Marie Svane, Søren Nyboe Jakobsen, Maria Garcia-Alai, Martin Zacharias, Rob Meijers, Sebastian Springer, Sine Reker Hadrup Empty peptide-receptive MHC class I molecules for efficient detection of antigen-specific T cells published pages: eaau9039, ISSN: 2470-9468, DOI: 10.1126/sciimmunol.aau9039 |
Science Immunology 4/37 | 2019-08-29 |
2017 |
Sine Reker Hadrup, Evan W. Newell Determining T-cell specificity to understand and treat disease published pages: 784-795, ISSN: 2157-846X, DOI: 10.1038/s41551-017-0143-4 |
Nature Biomedical Engineering 1/10 | 2019-08-06 |
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The information about "NEXTDART" are provided by the European Opendata Portal: CORDIS opendata.