Abstract
Muscle tissue poses a particular challenge to proteomic analysis due to a very wide range of protein abundances arising from the dominant expression of myofilament-related proteins. We address this issue by describing proteomic analysis with liquid chromatography–mass spectrometry (LC-MS) and sequential window acquisition of all theoretical mass spectra (SWATH), of guinea pig cardiac tissue prepared in two homogenization buffers: (1) An SDS-based buffer designed to extract “all” tissue proteins and (2) a long-established EDTA-containing buffer thought to preferentially extract non-myofibril-related proteins. We use gene ontology (GO) annotation-based assessment of subcellular localization to indicate if these enriched proteins congregate in the cytoplasm or in organellar lumens. This technique results in the preferential quantitation of less abundant non-myofibrillar proteins and, for future studies, offers the opportunity for more complete analyses of changes in heart tissue protein expression with biological circumstance.
References
Manza LL, Stamer SL, Ham AJ, Codreanu SG, Liebler DC (2005) Sample preparation and digestion for proteomic analyses using spin filters. Proteomics 5(7):1742–1745. https://doi.org/10.1002/pmic.200401063
Wisniewski JR, Zougman A, Nagaraj N, Mann M, Wiśniewski JR (2009) Universal sample preparation method for proteome analysis. Nat Methods 6:359–362. https://doi.org/10.1038/nmeth.1322
Tusher VG, Tibshirani R, Chu G (2001) Significance analysis of microarrays applied to the ionizing radiation response. Proc Natl Acad Sci U S A 98(9):5116–5121. https://doi.org/10.1073/pnas.091062498
Cohen P, Duewer T, Fischer EH (1971) Phosphorylase from dogfish skeletal muscle. Purification and a comparison of its physical properties to those of rabbit muscle phosphorylase. Biochemistry 10(14):2683–2694
Krebs EG, Fischer EH (1955) Phosphorylase activity of skeletal muscle extracts. J Biol Chem 216(1):113–120
Gillet LC, Navarro P, Tate S, Röst H, Selevsek N, Reiter L, Bonner R, Aebersold R (2012) Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis. Mol Cell Proteomics 11:O111.016717. doi: https://doi.org/10.1074/mcp.O111.016717
Szklarczyk D, Franceschini A, Wyder S, Forslund K, Heller D, Huerta-Cepas J, Simonovic M, Roth A, Santos A, Tsafou KP, Kuhn M, Bork P, Jensen LJ, von Mering C (2015) STRING v10: protein-protein interaction networks, integrated over the tree of life. Nucleic Acids Res 43(Database issue):D447–D452. https://doi.org/10.1093/nar/gku1003
Gene Ontology Consortium (2015) Gene Ontology Consortium: going forward. Nucleic Acids Res 43(Database issue):D1049–D1056. https://doi.org/10.1093/nar/gku1179
Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, Harris MA, Hill DP, Issel-Tarver L, Kasarskis A, Lewis S, Matese JC, Richardson JE, Ringwald M, Rubin GM, Sherlock G (2000) Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet 25(1):25–29. https://doi.org/10.1038/75556
Acknowledgments
This work was supported by the Medical Research Council (MR/L009560/1 and G0902091). The authors would like to thank Sir Philip Cohen for helpful discussions.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media New York
About this protocol
Cite this protocol
Treumann, A. et al. (2017). Depletion of Myofibril-Associated Proteins Using Selective Protein Extraction as a Tool in Cardiac 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_73
Download citation
DOI: https://doi.org/10.1007/7651_2017_73
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