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Titel:

Systematic identification of cancer-specific MHC-binding peptides with RAVEN.

Dokumenttyp:
Journal Article; Article
Autor(en):
Baldauf, Michaela C; Gerke, Julia S; Kirschner, Andreas; Blaeschke, Franziska; Effenberger, Manuel; Schober, Kilian; Rubio, Rebeca Alba; Kanaseki, Takayuki; Kiran, Merve M; Dallmayer, Marlene; Musa, Julian; Akpolat, Nurset; Akatli, Ayse N; Rosman, Fernando C; Özen, Özlem; Sugita, Shintaro; Hasegawa, Tadashi; Sugimura, Haruhiko; Baumhoer, Daniel; Knott, Maximilian M L; Sannino, Giuseppina; Marchetto, Aruna; Li, Jing; Busch, Dirk H; Feuchtinger, Tobias; Ohmura, Shunya; Orth, Martin F; Thiel, Uwe;...     »
Abstract:
Immunotherapy can revolutionize anti-cancer therapy if specific targets are available. Immunogenic peptides encoded by cancer-specific genes (CSGs) may enable targeted immunotherapy, even of oligo-mutated cancers, which lack neo-antigens generated by protein-coding missense mutations. Here, we describe an algorithm and user-friendly software named RAVEN (Rich Analysis of Variable gene Expressions in Numerous tissues) that automatizes the systematic and fast identification of CSG-encoded peptides...     »
Zeitschriftentitel:
Oncoimmunology
Jahr:
2018
Band / Volume:
7
Heft / Issue:
9
Seitenangaben Beitrag:
e1481558
Volltext / DOI:
doi:10.1080/2162402X.2018.1481558
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/30228952
Print-ISSN:
2162-4011
TUM Einrichtung:
Institut für Medizinische Mikrobiologie, Immunologie und Hygiene; Klinik und Poliklinik für Kinderheilkunde und Jugendmedizin
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