MassIVE MSV000083360

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PProteomic analysis of enhanced cellular effects of electroporation and cisplatin in triple-negative breast cancer cells

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Description

We performed a comprehensive and label-free quantitative proteomic analysis of the human adenocarcinoma epithelial TNBC cells (MDA-MB-231) treated with Cisplatin (CsP) and Cisplatin with EP (EP+CsP). We identified hundreds of differentially expressed proteins that defines molecular mechanisms involved in cellular responses of MDA-MB-231 cells to ECT. The underlying dataset represents a valuable resource for mechanistic studies and for the validation of knowledge gained from this study in the future using animal models. The systemic data should build a foundation for a better understanding of the mechanisms of the cytotoxicity of the Cisplatin as a potent anticancer drug. [doi:10.25345/C53W59] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Proteomics, Triple Negative Breast Cancer, Mass Spectrometry, Cisplatin, Electroporation

Contact

Principal Investigators:
(in alphabetical order) 		Rajeswari Sundararajan, Purdue University, USA
Submitting User: uma_aryal
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Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

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

Distinct replicate labels are counted across all files submitted in the "Metadata" category having a "BioReplicate" or "Replicate" column in this dataset.

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

The technical replicate count is defined as the maximum number of times any one distinct combination of condition and biological replicate was analyzed across all files submitted in the "Metadata" category. In the case of fractionated experiments, only the first fraction is considered.

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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.

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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.

"N/A" means no results of this type were submitted.
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.