Skip to main content

Mapping Lipid Distribution in Rat Sciatic Nerve Using Imaging Mass Spectrometry

  • Protocol
Myelin

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1791))

Abstract

Lipids are essential components of cells and tissues. They play active and central roles in signaling and many biological functions and therefore their dysregulation is very often the first signal of function alteration. Here we describe the protocol to analyze not only lipid expression in rat sciatic nerve but also the lipid distribution along its different anatomic areas. The protocol combines results from MALDI-IMS and UHPLC-MS/MS to identify and cartography the maximum number of lipid species in the tissue.

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

Access this chapter

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Fernandis AZ, Wenk MR (2007) Membrane lipids as signaling molecules. Curr Opin Lipidol 18:121–128

    Article  CAS  PubMed  Google Scholar 

  2. Blanksby SJ, Mitchell TW (2010) Advances in mass spectrometry for lipidomics. Annu Rev Anal Chem 3(3):433–465

    Article  CAS  Google Scholar 

  3. Barceló-Coblijn G, Fernández JA (2015) Mass spectrometry coupled to imaging techniques: the better the view the greater the challenge. Front Physiol 6:3

    PubMed  PubMed Central  Google Scholar 

  4. Garate J, Fernandez R, Lage S, Bestard-Escalas J, Lopez DH, Reigada R, Khorrami S, Ginard D, Reyes J, Amengual I, Barcelo-Coblijn G, Fernandez JA (2015) Imaging mass spectrometry increased resolution using 2-mercaptobenzothiazole and 2,5-diaminonaphtalene matrices: application to lipid distribution in human colon. Anal Bioanal Chem 407:4697–4708

    Article  CAS  PubMed  Google Scholar 

  5. Bodzon-Kulakowska A, Suder P (2016) Imaging mass spectrometry: instrumentation, applications, and combination with other visualization techniques. Mass Spectrom Rev 35:147–169

    Article  CAS  PubMed  Google Scholar 

  6. Fernández R, Carriel V, Lage S, Garate J, Díez-García J, Ochoa B, Castro B, Alaminos M, Fernández JA (2016) Deciphering the lipid architecture of the rat sciatic nerve using imaging mass spectrometry. ACS Chem Neurosci 7:624–632

    Article  CAS  PubMed  Google Scholar 

  7. Bligh EG, Dyer WJ (1959) A rapid method of total lipid extraction and purification. Can J Biochem Physiol 37:911–917

    Article  CAS  PubMed  Google Scholar 

  8. Xiong XC, Fang X, Ou YZ, Jiang Y, Huang ZJ, Zhang YK (2012) Artificial neural networks for classification and identification of data of biological tissue obtained by mass-spectrometry imaging. Chin J Anal Chem 40:43–49

    Article  CAS  Google Scholar 

  9. Fernández R, Garate J, Lage S, Terés S, Higuera M, Bestard-Escalas J, Martin ML, López DH, Guardiola-Serrano F, Escribá PV, Barceló-Coblijn G, Fernández JA (2016) Optimized protocol to analyze changes in the lipidome of xenografts after treatment with 2-hydroxyoleic acid. Anal Chem 88:1022–1029

    Article  CAS  PubMed  Google Scholar 

  10. Dunn WB, Broadhurst D, Begley P, Zelena E, Francis-McIntyre S, Anderson N, Brown M, Knowles JD, Halsall A, Haselden JN, Nicholls AW, Wilson ID, Kell DB, Goodacre R (2011) Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry. Nat Protoc 6:1060–1083

    Article  CAS  PubMed  Google Scholar 

  11. Kamleh MA, Ebbels TMD, Spagou K, Masson P, Want EJ (2012) Optimizing the use of quality control samples for signal drift correction in large-scale urine metabolic profiling studies. Anal Chem 84:2670–2677

    Article  CAS  PubMed  Google Scholar 

  12. Veselkov KA, Vingara LK, Masson P, Robinette SL, Want E, Li JV, Barton RH, Boursier-Neyret C, Walther B, Ebbels TM, Pelczer I, Holmes E, Lindon JC, Nicholson JK (2011) Optimized preprocessing of ultra-performance liquid chromatography/mass spectrometry urinary metabolic profiles for improved information recovery. Anal Chem 83:5864–5872

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

Work in the lab of the authors was funded by grants from the Basque Government (IT-971-16 and KK2016-00036 to BO) and the Spanish Ministry of Innovation, Economy and Competitiveness (SAF2015-64352 to BO and RTC-2015-3693-1 to JAF and BO). Technical and human support provided by the Servicio de Lipidómica of the SGIKER (UPV/EHU, MICINN, GV/EJ, ESF) is gratefully acknowledged. JG thanks the UPV/EHU for a pre-doctoral fellowship.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to José A. Fernández .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Science+Business Media, LLC, part of Springer Nature

About this protocol

Cite this protocol

Fernández, R., Garate, J., Abad, B., Ochoa, B., Fernández, J.A. (2018). Mapping Lipid Distribution in Rat Sciatic Nerve Using Imaging Mass Spectrometry. In: Woodhoo, A. (eds) Myelin. Methods in Molecular Biology, vol 1791. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7862-5_5

Download citation

  • DOI: https://doi.org/10.1007/978-1-4939-7862-5_5

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7861-8

  • Online ISBN: 978-1-4939-7862-5

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics