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Improved DiOlistic labelling technique for neurons in situ: Detailed visualisation of dendritic spines and concurrent histochemical-detection in fixed tissue.
Bevan, Ryan J; Cimaglia, Gloria; Morgan, James E; Taylor, Philip R.
Afiliação
  • Bevan RJ; UK Dementia Research Institute at Cardiff, Cardiff University, Cardiff CF24 4HQ, UK.
  • Cimaglia G; UK Dementia Research Institute at Cardiff, Cardiff University, Cardiff CF24 4HQ, UK; School of Optometry and Vision Sciences, Cardiff University, Cardiff CF24 4HQ, UK.
  • Morgan JE; School of Optometry and Vision Sciences, Cardiff University, Cardiff CF24 4HQ, UK; University Hospital of Wales, Heath Park, Cardiff CF14 4XW, UK.
  • Taylor PR; UK Dementia Research Institute at Cardiff, Cardiff University, Cardiff CF24 4HQ, UK; Systems Immunity Research Institute, Heath Park, Cardiff University, Cardiff CF14 4XN, UK. Electronic address: TaylorPR@cardiff.ac.uk.
Methods ; 229: 82-93, 2024 Jun 23.
Article em En | MEDLINE | ID: mdl-38917961
ABSTRACT
DiOlistic labelling is a robust, unbiased ballistic method that utilises lipophilic dyes to morphologically label neurons. While its efficacy on freshly dissected tissue specimens is well-documented, applying DiOlistic labelling to stored, fixed brain tissue and its use in polychromatic multi-marker studies poses significant technical challenges. Here, we present an improved, step-by-step protocol for DiOlistic labelling of dendrites and dendritic spines in fixed mouse tissue. Our protocol encompasses the five key stages Tissue Preparation, Dye Bullet Preparation, DiOlistic Labelling, Confocal Imaging, and Image Analysis. This method ensures reliable and consistent labelling of dendritic spines in fixed mouse tissue, combined with increased throughput of samples and multi-parameter staining and visualisation of tissue, thereby offering a valuable approach for neuroscientific research.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article