Your browser doesn't support javascript.
loading
Improved Ribo-seq enables identification of cryptic translation events.
Erhard, Florian; Halenius, Anne; Zimmermann, Cosima; L'Hernault, Anne; Kowalewski, Daniel J; Weekes, Michael P; Stevanovic, Stefan; Zimmer, Ralf; Dölken, Lars.
Afiliação
  • Erhard F; Institute for Informatics, Ludwig-Maximilians-Universität München, München, Germany.
  • Halenius A; Institute for Virology and Immunobiology, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
  • Zimmermann C; Institute of Virology, Medical Center, University of Freiburg, Freiburg, Germany.
  • L'Hernault A; Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • Kowalewski DJ; Institute of Virology, Medical Center, University of Freiburg, Freiburg, Germany.
  • Weekes MP; Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • Stevanovic S; Innovative Medicines & Early Development, AstraZeneca UK Ltd, Cambridge, UK.
  • Zimmer R; Interfaculty Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.
  • Dölken L; Immatics Biotechnologies GmbH, Tübingen, Germany.
Nat Methods ; 15(5): 363-366, 2018 05.
Article em En | MEDLINE | ID: mdl-29529017
ABSTRACT
Ribosome profiling has been used to predict thousands of short open reading frames (sORFs) in eukaryotic cells, but it suffers from substantial levels of noise. PRICE (https//github.com/erhard-lab/price) is a computational method that models experimental noise to enable researchers to accurately resolve overlapping sORFs and noncanonical translation initiation. We experimentally validated translation using major histocompatibility complex class I (MHC I) peptidomics and observed that sORF-derived peptides efficiently enter the MHC I presentation pathway and thus constitute a substantial fraction of the antigen repertoire.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Ribossomos / Biologia Computacional / Proteômica Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Ribossomos / Biologia Computacional / Proteômica Idioma: En Ano de publicação: 2018 Tipo de documento: Article