MassIVE MSV000090486

Partial Public

Global proteomic profiles of human lymphoma cells in vitro under Epstein Barr

Description

The Epstein-Barr Virus (EBV) encodes viral microRNAs (miRs) that contribute to the pathogenesis of nasopharyngeal and gastric carcinomas, but their potential roles in lymphomas are still to be elucidated. This study sought to assess the impact of knocking down EBV miRs BART 7 and BART9 in EBV-positive Akata cell lines using CRISPR/Cas9 technology and proteomic strategy. [doi:10.25345/C5GB1XN2B] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Epstein-Barr Virus ; Proteome profile ; human lymphoma

Contact

Principal Investigators:
(in alphabetical order)
Brunno Felipe Ramos Caetano, Universidade Estadual Paulista (UNESP), Brazil
Bruno Cesar Rossini, Universidade Estadual Paulista (UNESP), Brazil
Deilson Elgui de Oliveira, Universidade Estadual Paulista (UNESP), Brazil
Lucilene Delazari dos Santos, Institute of Biotecnology (IBTEC)-UNESP/Graduate Program in Tropical Diseases, Botucatu Medical School (FMB)-UNESP, Brazil
Viviana Loureiro Rocha, Universidade Estadual Paulista (UNESP), Brazil
Submitting User: lucilene
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Experimental Design
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Identification Results
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Quantification Results
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Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.