Abstract

Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) can determine tissue localization for a variety of analytes with high sensitivity, chemical specificity, and spatial resolution. MS image quality typically depends on the MALDI matrix application method used, particularly when the matrix solution or powder is applied directly to the tissue surface. Improper matrix application results in spatial redistribution of analytes and reduced MS signal quality. Here we present a stretched sample imaging protocol that removes the dependence of MS image quality on the matrix application process and improves analyte extraction and sample desalting. First, the tissue sample is placed on a monolayer of solid support beads that are embedded in a hydrophobic membrane. Stretching the membrane fragments the tissue into thousands of nearly single-cell sized islands, with the pieces physically isolated from each other by the membrane. This spatial isolation prevents analyte transfer between beads, allowing for longer exposure of the tissue fragments to the MALDI matrix, thereby improving detectability of small analyte quantities without sacrificing spatial resolution. When using this method to reconstruct chemical images, complications result from non-uniform stretching of the supporting membrane. Addressing this concern, several computational tools enable automated data acquisition at individual bead locations and allow reconstruction of ion images corresponding to the original spatial conformation of the tissue section. Using mouse pituitary, we demonstrate the utility of this stretched imaging technique for characterizing peptide distributions in heterogeneous tissues at nearly single-cell resolution.

Original languageEnglish (US)
Title of host publicationMass Spectrometry Imaging
Subtitle of host publicationPrinciples and Protocols
EditorsStanislav Rubakhin, Jonathan Sweedler
Pages465-479
Number of pages15
DOIs
StatePublished - Dec 1 2010

Publication series

NameMethods in Molecular Biology
Volume656
ISSN (Print)1064-3745

Fingerprint

Mass Spectrometry
Membranes
Lasers
Computer-Assisted Image Processing
Matrix-Assisted Laser Desorption-Ionization Mass Spectrometry
Islands
Powders
Ions
Sensitivity and Specificity
Peptides

Keywords

  • automated data acquisition
  • image reconstruction
  • Mass spectrometry imaging
  • matrix-assisted laser desorption/ionization
  • mouse
  • nervous tissue
  • pituitary
  • stretched sample

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics
  • Medicine(all)

Cite this

Zimmerman, T. A., Rubakhin, S. S., & Sweedler, J. V. (2010). Mass spectrometry imaging using the stretched sample approach. In S. Rubakhin, & J. Sweedler (Eds.), Mass Spectrometry Imaging: Principles and Protocols (pp. 465-479). (Methods in Molecular Biology; Vol. 656). https://doi.org/10.1007/978-1-60761-746-4_27

Mass spectrometry imaging using the stretched sample approach. / Zimmerman, Tyler A.; Rubakhin, Stanislav S.; Sweedler, Jonathan V.

Mass Spectrometry Imaging: Principles and Protocols. ed. / Stanislav Rubakhin; Jonathan Sweedler. 2010. p. 465-479 (Methods in Molecular Biology; Vol. 656).

Research output: Chapter in Book/Report/Conference proceedingChapter

Zimmerman, TA, Rubakhin, SS & Sweedler, JV 2010, Mass spectrometry imaging using the stretched sample approach. in S Rubakhin & J Sweedler (eds), Mass Spectrometry Imaging: Principles and Protocols. Methods in Molecular Biology, vol. 656, pp. 465-479. https://doi.org/10.1007/978-1-60761-746-4_27
Zimmerman TA, Rubakhin SS, Sweedler JV. Mass spectrometry imaging using the stretched sample approach. In Rubakhin S, Sweedler J, editors, Mass Spectrometry Imaging: Principles and Protocols. 2010. p. 465-479. (Methods in Molecular Biology). https://doi.org/10.1007/978-1-60761-746-4_27
Zimmerman, Tyler A. ; Rubakhin, Stanislav S. ; Sweedler, Jonathan V. / Mass spectrometry imaging using the stretched sample approach. Mass Spectrometry Imaging: Principles and Protocols. editor / Stanislav Rubakhin ; Jonathan Sweedler. 2010. pp. 465-479 (Methods in Molecular Biology).
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