Abstract
Improved speed and sensitivity of mass spectrometry allow the simultaneous quantification of high numbers of proteins from increasingly smaller quantities of tissue sample. Quantitative data of the proteome is highly valuable for providing unbiased information on, for example, protein expression changes related to disease or identifying related biomarkers. In brain diseases the affected area can be small and pathogenic events can be related to a specific cell type in an otherwise heterogeneous tissue type. An emerging approach dedicated to analyzing this type of samples is laser micro-dissection (LMD) combined with LC-MS/MS into a single workflow. In this chapter, we describe different options for isolating tissue suitable for LC-MS/MS analysis.
This is a preview of subscription content, log in via an institution.
References
Murray GI (2007) An overview of laser microdissection technologies. Acta Histochem 109:171–176
Hondius DC, Van Nierop P, Li KW et al (2016) Profiling the human hippocampal proteome at all pathologic stages of Alzheimer’s disease. Alzheimers Dement 12:654–668
Wong TH, Chiu WZ, Breedveld GJ et al (2014) PRKAR1B mutation associated with a new neurodegenerative disorder with unique pathology. Brain 137:1361–1373
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Science+Business Media, LLC
About this protocol
Cite this protocol
Hondius, D.C., Hoozemans, J.J.M., Rozemuller, A.J.M., Li, K.W., Smit, A.B. (2018). A Laser Microdissection–Liquid Chromatography–Tandem Mass Spectrometry Workflow for Post-mortem Analysis of Brain Tissue. In: Murray, G. (eds) Laser Capture Microdissection. Methods in Molecular Biology, vol 1723. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7558-7_21
Download citation
DOI: https://doi.org/10.1007/978-1-4939-7558-7_21
Published:
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-7557-0
Online ISBN: 978-1-4939-7558-7
eBook Packages: Springer Protocols