Literature DB >> 29988996

A human proteomic dataset from untreated and depleted/enriched serum samples.

Salvatore Pisanu1, Grazia Biosa1, Laura Carcangiu1, Sergio Uzzau1, Daniela Pagnozzi1.   

Abstract

We present a proteomic dataset generated from a human serum sample and the enriched/depleted fractions obtained by seven commercial products. This report is related to the research article entitled "Comparative evaluation of seven commercial products for human serum enrichment/depletion by shotgun proteomics" [1]. All samples were analyzed by LC-MS/MS, label free quantitation using the spectral counting approach, and Gene Ontology (GO) annotation. Protein relative abundances and functions were reported.

Entities:  

Year:  2018        PMID: 29988996      PMCID: PMC6034580          DOI: 10.1016/j.dib.2018.06.042

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the data Proteomic analysis of untreated and depleted/enriched human serum samples was generated by a wide selection of commercially available kits. Dataset includes 1266 and 9905 non-redundant proteins and peptides, respectively. Relative abundance and GO annotation data might be a useful support for other researchers to select the method of choice according to the target of interest.

Data

Peptide and protein identifications from a human serum sample and from the depleted/enriched fractions obtained after treatment with seven commercial kits are reported, with the corresponding peptide spectrum matches (PSMs). Moreover, protein abundances and gene ontology annotation, including biological process, molecular function and cellular component are showed. Data are provided as Supplementary file.

Experimental design, materials, and methods

Sample treatment

Human serum sample was either treated by seven commercial products (Top 2 Abundant Protein Depletion Spin Columns “Top 2”, Top 12 Abundant Protein Depletion Spin Columns “Top 12”, Albumin and IgG Depletion SpinTrap “SpinTrap”, Qproteome Albumin/IgG Depletion “Qproteome”, ProteoPrep Immunoaffinity Albumin and IgG Depletion Kit “ProteoPrep”, Albumin/IgG Removal “CibB-A”, and ProteoMiner beads “ProteoMiner”), or analyzed as untreated sample. Two technical replicates were performed for each procedure. Depletions were performed according to the protocols and the sample volumes recommended by the manufacturers. Then, all samples were processed with the filter-aided sample preparation (FASP) protocol, with minor modifications, as described by Pisanu et al. [1].

LC-MS/MS analysis

Mass spectrometry analysis was carried out on a Q Exactive interfaced with an UltiMate 3000 RSLCnanoLC system (Thermo Fisher Scientific, San Jose, CA, USA), as previously described by Pagnozzi et al. [2] with some adjustments [1]. Runs were performed loading 4 μg of peptide mixture of each sample, using a linear gradient of 245 min. The mass spectrometer was set up in a data dependent MS/MS mode, with Higher Energy Collision Dissociation as the fragmentation method. Peptide identification was performed using Proteome Discoverer (version 1.4; Thermo Scientific) as described by Pisanu et al. [1].

Label-free quantitation and Gene Ontology

Protein relative abundance was evaluated by spectral counting (SpC) approach [3], and for each protein the normalized spectral abundance factor (NSAF) was calculated according to Old et al. [4]. Protein identification data were subjected to Gene Ontology (GO) annotation for biological process, molecular function, and cellular component using UniProt Knowledgebase (UniProtKB) database in Perseus software (v.1.6.0.7) [5], [6].
Subject areaBiology
More specific subject areaProteomics
Type of dataA. Tables with all identified proteins, and peptides.
B. Protein relative abundance (NSAF), and Gene Ontology annotation.
How data was acquiredQ Exactive mass spectrometer interfaced with an UltiMate 3000 RSLCnanoLC system (Thermo Fisher Scientific)
Data formatxlsx file (Excel tables)
Experimental factorsSerum highly abundant protein depletion by seven commercial products
Experimental featuresA. Serum depletion/enrichment
B. Filter-aided sample preparation (FASP)
C. Mass spectrometry analysis (LC-MS/MS)
D. Label free quantitation
E. Gene Ontology annotation
Data source locationTramariglio, Alghero (Sassari), Italy
Data accessibilityData is within this article, provided as supplementary file
Related research articleS. Pisanu, G. Biosa, L. Carcangiu, S. Uzzau, D. Pagnozzi. Comparative evaluation of seven commercial products for human serum enrichment/depletion by shotgun proteomics, Talanta 185, 2018, 213-220. 10.1016/j.talanta.2018.03.086
  6 in total

1.  The sheep milk fat globule membrane proteome.

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2.  Comparison of label-free methods for quantifying human proteins by shotgun proteomics.

Authors:  William M Old; Karen Meyer-Arendt; Lauren Aveline-Wolf; Kevin G Pierce; Alex Mendoza; Joel R Sevinsky; Katheryn A Resing; Natalie G Ahn
Journal:  Mol Cell Proteomics       Date:  2005-06-23       Impact factor: 5.911

3.  Production and release of antimicrobial and immune defense proteins by mammary epithelial cells following Streptococcus uberis infection of sheep.

Authors:  Maria Filippa Addis; Salvatore Pisanu; Gavino Marogna; Tiziana Cubeddu; Daniela Pagnozzi; Carla Cacciotto; Franca Campesi; Giuseppe Schianchi; Stefano Rocca; Sergio Uzzau
Journal:  Infect Immun       Date:  2013-06-17       Impact factor: 3.441

4.  Comparative evaluation of seven commercial products for human serum enrichment/depletion by shotgun proteomics.

Authors:  Salvatore Pisanu; Grazia Biosa; Laura Carcangiu; Sergio Uzzau; Daniela Pagnozzi
Journal:  Talanta       Date:  2018-03-28       Impact factor: 6.057

5.  Quantitative Map of Proteome Dynamics during Neuronal Differentiation.

Authors:  Christian K Frese; Marina Mikhaylova; Riccardo Stucchi; Violette Gautier; Qingyang Liu; Shabaz Mohammed; Albert J R Heck; A F Maarten Altelaar; Casper C Hoogenraad
Journal:  Cell Rep       Date:  2017-02-07       Impact factor: 9.423

6.  Structural and Immunodiagnostic Characterization of Synthetic Antigen B Subunits From Echinococcus granulosus and Their Evaluation as Target Antigens for Cyst Viability Assessment.

Authors:  Daniela Pagnozzi; Francesca Tamarozzi; Anna Maria Roggio; Vittorio Tedde; Maria Filippa Addis; Salvatore Pisanu; Gabriella Masu; Cinzia Santucciu; Ambra Vola; Adriano Casulli; Giovanna Masala; Enrico Brunetti; Sergio Uzzau
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  6 in total

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