Project : PXD000162

PRIDE Assigned Tags:
Biomedical Dataset
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Summary

Title

Hypoxia-induced Changes in the Secretome of Human Preadipocytes and Adipocytes

Description

White adipose tissue (WAT) is involved in energy metabolism by secretion of proteins with endocrine and paracrine effects. Dysregulation of the secretion pattern of obesity-associated enlarged WAT may lead to obesity-related disorders. This dysregulation may be the result of a hypoxic state caused by poorly vascularised WAT. The effect of hypoxia on the secretome of human (pre)adipocytes is largely unkown. Therefore, secretome changes of CoCl2-treated and non-treated human SGBS (pre)adipocytes were studied by using 2DE with bioinformatic analysis. In addition, regulation of protein secretion was analysed by protein turnover experiments. Hypoxia-induced secretome changes were mostly associated with protein down-regulation and extracellular matrix protein dysregulation. The observed up-regulation of collagens in adipocytes may be essential for cell survival while down-regulation of collagens in preadipocytes may indicate a disturbed differentiation process. These hypoxia-induced changes can be seen as WAT dysfunction that may lead to obesity-associated complications. In addition, 9 novel adipocyte secreted proteins were identified from which 6 were regulated by hypoxia.LC ESI-MS/MS and database search: Excised spots were in-gel trypsin digested and ten microliters of the digested was analyzed by LC ESI-MS/MS on a LCQ Classic (ThermoFinnigan, San Jose, CA). The trapped sample was separated on the analytical column (Biosphere C18, 5 µm particle diameter, 200 mm L × 0.05 mm i.d.; Nanoseparations, Nieuwkoop, The Netherlands) using a linear gradient from 5 to 60% (v/v) ACN in water containing 100 mM acetic acid in 55 min (100 nL/min). The eluate of the analytical column was nanosprayed from a Teflon connected, gold-coated fused silica emitter (5 µm i.d.; NanoSeparations). With respect to LC-ESI-MS/MS, LCQ Xcalibur v2.0 SR2 raw files and spectra were selected from Proteome Discover1.2 software (Thermo Scientific) with the following settings: minimal peak count 50; total intensity threshold 4000; and S/N = 6. Peak lists were searched with Sequest v1.2.0.208 and Mascot v2.3.0.1 against EMBL-EBI International Protein Index database for human proteins (version 3.78, 86 702 entries) and using following settings: fragment tolerance, 1.00 Da (monoisotopic); parent tolerance, 3.0 Da (monoisotopic); fixed modifications, carbamidomethylation of cystein; variable modifications, oxidation of methionin; max missed cleavages, 2. Search engine results were combined and validated by Scaffold v3.00.07 (Proteome Software, Portland, OR) with minimum peptide and protein probability set to =80%, followed by visual inspection of spectral (annotation) quality and manual curation, eliminating high background spectra and single engine identifications, evaluating one-hit wonders and filtering out keratins. Mass spectrometry data can be visualized using PRIDE Inspector and Scaffold .sf3 free viewer (https://proteomecommons.org/tool.jsp?i=1009). Maldi-MS and database search: For MALDI-TOF MS 1.5 mL of each peptide mixture and 0.5 mL matrix solution (10 mg/mL CHCA in 50% ACN/0.1% TFA) was spotted automatically onto a 96 well-format target plate. The spots were allowed to air-dry for homogeneous crystallization. Spectra were obtained using a M@LDI-LR mass spectrometer (Waters). The instrument was operated in positive reflector mode. The acquisition mass range was 900–3000 Da. The instrument was calibrated on 6–8 reference masses from a tryptic digest of alcohol dehydrogenase. In addition, a near point lockmass correction for each sample spot was performed using adrenocorticotropic hormone fragment 18–39 (MH1 2465.199) to achieve maximum mass accuracy. Typically 100 shots were combined and the background was subtracted. A peptide mass list was generated for the subsequent database search. For semi-quantitative labeling measurements, the area of the M15 peak was divided by that of the M peak x100%. A SD was obtained for this isotopomer mass peak ratio by repeating the experiment three times. Significance of differences between ratios was determined by analysis of variance. The peptide mass list was searched with ProteinLynx Global Server (Waters) or the Mascot search engine (http://www.matrixscience.com) against the Swiss-Prot database (http://expasy.ch/sprot) for protein identification. One miss-cleavage was tolerated, carbamidomethylation was set as a fixed modification and oxidation of methionine as an optional modification. The peptide mass tolerance was set to 100 ppm. No restrictions were made on the protein M and the pI. A protein was regarded as identified when it had a significant MASCOT probability score (p<0.05) and at least five peptide mass hits or sequence coverage of at least 30% of the complete protein sequence.

Sample Processing Protocol

See details in reference PMID : 24140569

Data Processing Protocol

See details in reference PMID : 24140569

Contact

Jean-Paul Noben, FBI

Submission Date

27/02/2013

Publication

    Rosenow A, Noben JP, Bouwman FG, Mariman EC, Renes J; Hypoxia-mimetic effects in the secretome of human preadipocytes and adipocytes., Biochim Biophys Acta, 2013 Dec, 1834, 12, 2761-71, PubMed(s) : 24140569

Assay

Accession Title Protein Count Peptide Count Unique Peptide Count Spectrum Count Identified Spectrum Count
28672 Hypoxia-induced Changes in the Secretome of Human Preadipocytes and Adipocytes - Experiment 1 59 677 367 37 37
28673 A1 11 19 11 1527 9
28674 C1 23 57 24 1662 34
28675 D1 12 50 34 1372 41
28676 E1 5 12 9 851 11
28677 F1 5 23 13 860 14
28678 G1 1 2 2 1258 2
28679 H1 3 10 8 447 10
28680 A2 11 39 20 766 24
28681 B2 4 45 32 961 44
28682 C2 4 25 14 635 17
28683 D2 7 19 5 906 8
28684 E2 3 12 8 785 12
28685 F2 2 2 2 1378 2
28686 H2 9 32 23 954 23
28687 A3 4 25 10 814 16
28688 B3 4 8 7 1089 7
28689 C3 5 13 10 1245 12
28690 D3 5 21 16 1596 19
28691 E3 3 5 5 994 5
28692 G3 13 18 10 930 8
28693 G4 2 5 3 798 4
28694 A5 1 1 1 1399 1
28695 F5 2 2 2 471 2
28696 B6 2 3 3 761 3
28697 C6 1 4 3 408 4
28698 D6 1 10 7 555 10
28699 F6 4 16 12 859 13
28700 G6 4 18 12 857 15
28701 H6 2 3 2 853 3
28702 A7 3 3 3 962 3
28703 G7 3 5 4 612 5
28704 H7 2 3 3 583 3
28705 A8 3 18 14 673 17
28706 B8 1 1 1 759 1
28707 C8 1 1 1 1712 1
28708 E8 4 4 3 1124 1
28709 G8 4 10 9 1039 10
28710 H8 1 5 4 760 5

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