Improved immunocytochemical identification of neural, endothelial, and inflammatory cell types in paraffin-embedded injured adult rat spinal cord

被引:30
作者
Casella, GTB
Bunge, MB
Wood, PM
机构
[1] Univ Miami, Sch Med, Miami Project Cure Paralysis, Miami, FL 33101 USA
[2] Univ Sao Paulo, Sch Med, Inst Orthoped & Traumatol, Hosp Clin, Sao Paulo, Brazil
关键词
autofluorescence; antigen retrieval; signal amplification; laminin; Hoechst staining;
D O I
10.1016/j.jneumeth.2004.04.008
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Methods that facilitate the accurate counting of specific neural cell types would be of substantial value in evaluating the efficacy of treatments applied to spinal cord injury. This report describes reliable procedures for identification of neurons, oligodendrocytes, astrocytes, endothelial cells and inflammatory cells (neutrophils and activated macrophage/microglial cells) in paraformaldehyde-fixed, paraffin-embedded injured adult rat spinal cord. Antigen retrieval techniques (enzymatic and thermal) were used to improve antibody access to masked epitopes. To decrease background immunofluorescence and autofluorescence of hemoglobin, the tissue sections were pretreated with 0.1% sodium borohydride in PBS (30 min), followed by 1-5 min incubation in 0.5% Sudan black in 70% ethanol. Commercially available techniques to amplify the primary signal such as tyramide signal amplification (TSA) and avidin/biotin/peroxidase/DAB/nickel/cobalt amplification (ABP/DABA) were also tested. Hoechst 33342 nuclear staining was used to indicate cell location, number, and integrity, thereby avoiding misidentification of cells. The best antibodies were: anti-NeuN antibody for neurons, anti-S100 for astrocytes, and anti-S100 and APC-7 antibodies in combination for oligodendrocytes, anti-laminin (LN) for endothelial cells, and ED1 antibody for activated macrophages and microglia. Amplification of the primary signal with TSA or ABP/DABA was also found to be beneficial. (C) 2004 Elsevier B.V. All rights reserved.
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页码:1 / 11
页数:11
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