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pmid:32415162

Large database for the analysis and prediction of spliced and non-spliced peptide generation by proteasomes.

Gerd Specht · Hanna P Roetschke · Artem Mansurkhodzhaev · Petra Henklein · Kathrin Textoris-Taube · Henning Urlaub · Michele Mishto · Juliane Liepe

Scientific data · 2020 doi:10.1038/s41597-020-0487-6

Paper

complete

Experiment

partial

Data

partial

Analysis

partial

Execution

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:32415162
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title
Large database for the analysis and prediction of spliced and non-spliced peptide generation by proteasomes.
doi
10.1038/s41597-020-0487-6
pmid
32415162
authors array · 8 items
[0]
Gerd Specht
[1]
Hanna P Roetschke
[2]
Artem Mansurkhodzhaev
[3]
Petra Henklein
[4]
Kathrin Textoris-Taube
[5]
Henning Urlaub
[6]
Michele Mishto
[7]
Juliane Liepe
journal
Scientific data
year
2020
abstract
Proteasomes are the main producers of antigenic peptides presented to CD8+ T cells. They can cut proteins and release their fragments or recombine non-contiguous fragments thereby generating novel sequences, i.e. spliced peptides. Understanding which are the driving forces and the sequence preferences of both reactions can streamline target discovery in immunotherapies against cancer, infection and autoimmunity. Here, we present a large database of spliced and non-spliced peptides generated by proteasomes in vitro, which is available as simple CSV file and as a MySQL database. To generate the database, we performed in vitro digestions of 55 unique synthetic polypeptide substrates with different proteasome isoforms and experimental conditions. We measured the samples using three mass spectrometers, filtered and validated putative peptides, identified 22,333 peptide product sequences (15,028 spliced and 7,305 non-spliced product sequences). Our database and datasets have been deposited to the Mendeley (doi:10.17632/nr7cs764rc.1) and PRIDE (PXD016782) repositories. We anticipate that this unique database can be a valuable source for predictors of proteasome-catalyzed peptide hydrolysis and splicing, with various future translational applications.
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Differences in distributions have been tested using the Kolmogorov-Smirnov test.
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sections[8] "Statistical analysis" paragraph 2
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Differences in distributions have been tested using the Kolmogorov-Smirnov test.
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The algorithm generating all possible cis and trans spliced peptides was originally described by Liepe et al.56. Scripts for MySQL database setup have been deposited in the MySQL database dump to the Mendeley repository with the dataset access doi:10.17632/nr7cs764rc.158.
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The algorithm generating all possible cis and trans spliced peptides was originally described by Liepe et al.56. Scripts for MySQL database setup have been deposited in the MySQL database dump to the Mendeley repository with the dataset access doi:10.17632/nr7cs764rc.158.
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proteasome isoform used for digestion
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species origin for used proteasome
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[1]
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[1]
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[1]
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Spliced and non-spliced peptide analysis and further validations
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They can cut proteins and release their fragments or recombine non-contiguous fragments thereby generating novel sequences, i.e. spliced peptides. Understanding which are the driving forces and the sequence preferences of both reactions can streamline target discovery in immunotherapies against cancer, infection and autoimmunity. Here, we present a large database of spliced and non-spliced peptides generated by proteasomes in vitro, which is available as simple CSV file and as a MySQL database. To generate the database, we performed in vitro digestions of 55 unique synthetic polypeptide substrates with different proteasome isoforms and experimental conditions. We measured the samples using three mass spectrometers, filtered and validated putative peptides, identified 22,333 peptide product sequences (15,028 spliced and 7,305 non-spliced product sequences). Our database and datasets have been deposited to the Mendeley (doi:10.17632/nr7cs764rc.1) and PRIDE (PXD016782) repositories. 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