MassIVE MSV000094228

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DATASET - Bottom-Up - Snake venom proteomics of seven taxa of the genera Vipera, Montivipera, Macrovipera and Daboia across Turkiye/Turkey

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Description

This DATASET collection includes the mass spectrometry files for proteomics venom investigation of seven taxa of the genera Vipera, Montivipera, Macrovipera and Daboia across Turkiye/Turkey. Species list: Vipera berus barani Vipera darevskii Montivipera bulgardaghica bulgardaghica Montivipera bulgardaghica albizona Montivipera xanthina Macrovipera lebetinus obtusa Daboia palaestinae Folders 01-07 - BOTTOM-UP PROTEOMICS: The venom pools were investigated by the bottom-up "snake venomics" (labled as SVX) approach and in short: separated by RP-HPLC, followed by SDS-PAGE separation and the single bands were in-gel processed by DTT, IAC and finally o/n tryptic digested. Samples submitted to HPLC-MS/MS. Early peptidic fractions of the first HPLC run were directly submitted to HPLC-MS/MS analytic w/o further gel procession. Folders 01 to 07 include the MS and MS/MS spectra of the snake species 1-7, respectively. Files are included as RAW and MZML format. Used instrument: LTQ Orbitrap XL mass spectrometer (Thermo, Bremen, Germany) with an Agilent 1260 HPLC system (Agilent Technologies, Waldbronn, Germany) using a reversed-phase Grace Vydac 218MS C18 (2.1 x 150 mm; 5 um particle size) column. Modifications: UNIMOD:4 - \"Iodoacetamide derivative.\" [doi:10.25345/C5Z02ZK9H] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: snake venomics ; venom ; snake ; viper ; snakebite ; proteomics ; peptidomics

Contact

Principal Investigators:
(in alphabetical order) 		Maik Damm, TU Berlin, Deutschland
Submitting User: MDamm
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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.

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

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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.