Immunostaining for oligodendrocyte-specific galactosphingolipids in fixed brain sections using the cholesterol-selective detergent digitonin

Yutaka Matsubayashi, Lena Iwai, Tomohisa Toda, Qing Richard Lu, Hiroshi Kawasaki

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Galactocerebroside (GalC) and its sulfated derivative sulfatide (SUL) are galactosphingolipids abundantly expressed in oligodendrocytes (OLs). Despite their biological importance in OL development and function, attempts to visualize GalC/SUL in tissue sections have met with limited success. This is at least in part because permeabilization of tissue sections with detergents such as Triton X-100 results in significant degradation of GalC/SUL immunoreactivity. Here we establish a novel method that enables visualization of endogenous GalC/SUL in OLs and myelin throughout the entire depth of brain sections. We show that treating brain sections with the cholesterol-specific detergent digitonin instead of Triton X-100 or methanol leads to efficient antibody penetration into tissue sections without disrupting GalC/SUL immunoreactivity. We also determine the optimal concentrations of digitonin using confocal microscopy. With our method, the morphology and the number of GalC/SUL-expressing OLs can be visualized three-dimensionally. Furthermore, our method is applicable to double immunostaining with anti-GalC/SUL antibody and other antibodies which recognize intracellular antigens. Our simple method using digitonin should prove to be useful in enabling detailed examination of GalC/SUL expression in the brain in both physiological and pathological conditions.

Original languageEnglish (US)
Pages (from-to)87-98
Number of pages12
JournalJournal of Neuroscience Methods
Volume178
Issue number1
DOIs
StatePublished - Mar 30 2009

Keywords

  • Cholesterol-specific detergent
  • Digitonin
  • Galactocerebroside
  • Galactosphingolipid
  • Immunohistochemistry
  • Oligodendrocyte

ASJC Scopus subject areas

  • General Neuroscience

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