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  InvitroSPI and a large database of proteasome-generated spliced and non-spliced peptides

Roetschke, H. P., Rodriguez-Hernandez, G., Cormican, J. A., Yang, X., Lynham, S., Mishto, M., et al. (2023). InvitroSPI and a large database of proteasome-generated spliced and non-spliced peptides. Scientific Data, 10: 18. doi:10.1038/s41597-022-01890-6.

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Roetschke, Hanna P.1, Author           
Rodriguez-Hernandez, Guillermo, Author
Cormican, John A.1, Author           
Yang, Xiaoping, Author
Lynham, Steven, Author
Mishto, Michele, Author
Liepe, Juliane1, Author           
Affiliations:
1Research Group of Quantitative and Systems Biology, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society, Göttingen, DE, ou_3350287              

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 Abstract: Noncanonical epitopes presented by Human Leucocyte Antigen class I (HLA-I) complexes to CD8+ T cells attracted the spotlight in the research of novel immunotherapies against cancer, infection and autoimmunity. Proteasomes, which are the main producers of HLA-I-bound antigenic peptides, can catalyze both peptide hydrolysis and peptide splicing. The prediction of proteasome-generated spliced peptides is an objective that still requires a reliable (and large) database of non-spliced and spliced peptides produced by these proteases. Here, we present an extended database of proteasome-generated spliced and non-spliced peptides, which was obtained by analyzing in vitro digestions of 80 unique synthetic polypeptide substrates, measured by different mass spectrometers. Peptides were identified through invitroSPI method, which was validated through in silico and in vitro strategies. The peptide product database contains 16,631 unique peptide products (5,493 non-spliced, 6,453 cis-spliced and 4,685 trans-spliced peptide products), and a substrate sequence variety that is a valuable source for predictors of proteasome-catalyzed peptide hydrolysis and splicing. Potential artefacts and skewed results due to different identification and analysis strategies are discussed.

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Language(s): eng - English
 Dates: 2023-01-10
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41597-022-01890-6
 Degree: -

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Project name : This work was financed in part by: (i) Cancer Research UK [C67500/A29686], National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy’s as well as St Thomas’ NHS Foundation Trust and King’s College London and/or the NIHR Clinical Research Facility, CRUK City of London Centre (CoL) Award and CRUK-CoL development fund [CTRQQR-2021/100004] to MM; (ii) ERC-StG 945528 IMAP to JL. HPR was funded by the Manfred Eigen-Förderstiftung (Principles of Cancer Research - Stipend for an exceptional, independently working young scientist), and by King’s College London as part of the “Neuro-Immune Interactions in Health & Disease Wellcome Trust PhD Programme”. JAC is supported by the International Max-Planck Research School (IMPRS) for Genome Science.
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Project name : IMAP
Grant ID : 945528
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: Scientific Data
  Abbreviation : Sci. Data
Source Genre: Journal
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Publ. Info: London, United Kingdom : Nature Publishing Group
Pages: - Volume / Issue: 10 Sequence Number: 18 Start / End Page: - Identifier: ISSN: 2052-4463
CoNE: https://pure.mpg.de/cone/journals/resource/2052-4463