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Correction to: Proteogenomic analysis reveals RNA as a source for tumor-agnostic neoantigen identification (Nature Communications, (2023), 14, 1, (4632), 10.1038/s41467-023-39570-7)

  • Celina Tretter
  • , Niklas de Andrade Krätzig
  • , Matteo Pecoraro
  • , Sebastian Lange
  • , Philipp Seifert
  • , Clara von Frankenberg
  • , Johannes Untch
  • , Gabriela Zuleger
  • , Mathias Wilhelm
  • , Daniel P. Zolg
  • , Florian S. Dreyer
  • , Eva Bräunlein
  • , Thomas Engleitner
  • , Sebastian Uhrig
  • , Melanie Boxberg
  • , Katja Steiger
  • , Julia Slotta-Huspenina
  • , Sebastian Ochsenreither
  • , Nikolas von Bubnoff
  • , Sebastian Bauer
  • Melanie Boerries, Philipp J. Jost, Kristina Schenck, Iska Dresing, Florian Bassermann, Helmut Friess, Daniel Reim, Konrad Grützmann, Katrin Pfütze, Barbara Klink, Evelin Schröck, Bernhard Haller, Bernhard Kuster, Matthias Mann, Wilko Weichert, Stefan Fröhling, Roland Rad, Michael Hiltensperger, Angela M. Krackhardt
  • German Cancer Research Center
  • Technical University of Munich
  • Max Planck Institute of Biochemistry
  • Universitá Svizzera italiana
  • NCT Heidelberg
  • Charité – Universitätsmedizin Berlin
  • University of Freiburg
  • Universitätsklinikum Schleswig-Holstein Campus Lübeck
  • University Hospital of Essen
  • Medical University of Graz
  • NCT Dresden and DKFZ
  • Technischen Universität Dresden
  • Universitätsklinikum Carl Gustav Carus Dresden
  • Hereditary Cancer Syndrome Center Dresden
  • National Center for Tumor Diseases (NCT/UCC) Dresden
  • HelmholtzZentrum Dresden-Rossendorf
  • Max Planck Institute of Molecular Cell Biology and Genetics
  • Malteser Krankenhaus St. Franziskus-Hospital

Research output: Contribution to journalComment/debate

Abstract

Correction to: Nature Communicationshttps://doi.org/10.1038/s41467-023-39570-7, published online 02 August 2023 With respect to the original “Data availability” statement, since the publication of this work, to ensure patient data privacy protection per request of the authors’ institute Technical University of Munich, the RNA-seq dataset from sorted CD8+ TILs originally deposited to the European Nucleotide Archive (ENA) with study accession number PRJEB61429 has been transferred to the European Genome-phenome Archive (EGA) under restricted access with the study identifier EGAS00001006706 (along with the other sequencing datasets generated in the study) and the dataset identifier EGAD50000000193. The “Data availability” section of the Article file (PDF and HTML versions) and the Data section of the Reporting Summary have been updated to reflect these changes.

Original languageEnglish
Article number2364
JournalNature Communications
Volume15
Issue number1
DOIs
StatePublished - Dec 2024

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