Skip to main content

Differential Adipose Tissue Proteomics

  • Protocol
  • First Online:
Tissue Proteomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1788))

Abstract

Differential proteomic analysis (comparative quantitative proteomics) is a robust quantitative technique used to detect and identify the proteome of selected tissues. The expression levels (upregulated vs. downregulated) of proteins in tissue samples that differ by experimental design or anatomic location are determined by a series of assays including (1) 2D difference gel electrophoresis (2D-DiGE), (2) protein spot picking based on a priori thresholds, (3) Mass Spectrometry, and (4) follow-up Western Blot for antibody validation (Chen et al., Mol Cell Proteomics 14:2466–2478, 2015). Differential proteomic analysis is a perfect method for analyzing a heterogeneous tissue such as adipose tissue with a composition spectrum consisting of white to brown adipocytes along with a stromal vascular fraction dependent on anatomical location and inflammation. The adipose tissue proteomic protocol outlined here was successful in identifying differentially expressed proteins both significantly upregulated and downregulated between the experimental and control groups (Shields et al., Pulm Circ 6:586–596, 2016).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

References

  1. Geguchadze RN, Machen L, Zourelias L, Gallo PH, Passineau MJ (2012) An AAV2/5 vector enhances safety of gene transfer to the mouse salivary gland. J Dent Res 91:382–386

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Shields KJ, Verdelis K, Passineau MJ, Faight EM, Zourelias L, Wu C et al (2016) Three-dimensional micro computed tomography analysis of the lung vasculature and differential adipose proteomics in the Sugen/hypoxia rat model of pulmonary arterial hypertension. Pulm Circ 6:586–596

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Calderón-Celis F, Encinar JR, Sanz-Medel A (2017) Standardization approaches in absolute quantitative proteomics with mass spectrometry. Mass Spec Rev 9999:1–23. https://doi.org/10.1002/mas.21542

  4. Trayhurn P (2005) Endocrine and signalling role of adipose tissue: new perspectives on fat. Acta Physiol Scand 184:285–293

    Article  CAS  PubMed  Google Scholar 

  5. Baker AR, Silva NF, Quinn DW, Harte AL, Pagano D, Bonser RS et al (2006) Human epicardial adipose tissue expresses a pathogenic profile of adipocytokines in patients with cardiovascular disease. Cardiovasc Diabetol 5:1

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Cypess AM, Lehman S, Williams G, Tal I, Rodman D, Goldfine AB et al (2009) Identification and importance of brown adipose tissue in adult humans. N Engl J Med 360:1509–1517

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Sharp LZ, Shinoda K, Ohno H, Scheel DW, Tomoda E, Ruiz L et al (2012) Human BAT possesses molecular signatures that resemble beige/brite cells. PLoS One 7:e49452

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Peinado JR, Pardo M, de la Rosa O, Malagon MM (2012) Proteomic characterization of adipose tissue constituents, a necessary step for understanding adipose tissue complexity. Proteomics 12:607–620

    Article  CAS  PubMed  Google Scholar 

  9. Chen CL, Chung T, CC W, Ng KF, JS Y, Tsai CH et al (2015) Comparative tissue proteomics of microdissected specimens reveals novel candidate biomarkers of bladder cancer. Mol Cell Proteomics 14:2466–2478

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Wu C, Wang Z, Zourelias L, Thakker H, Passineau MJ (2015) IL-17 sequestration via salivary gland gene therapy in a mouse model of Sjogren’s syndrome suppresses disease-associated expression of the putative autoantigen Klk1b22. Arthritis Res Ther 17:198

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kelly J. Shields .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media New York

About this protocol

Cite this protocol

Shields, K.J., Wu, C. (2017). Differential Adipose Tissue Proteomics. In: Sarwal, M., Sigdel, T. (eds) Tissue Proteomics. Methods in Molecular Biology, vol 1788. Humana Press, New York, NY. https://doi.org/10.1007/7651_2017_80

Download citation

  • DOI: https://doi.org/10.1007/7651_2017_80

  • Published:

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7852-6

  • Online ISBN: 978-1-4939-7854-0

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics