title: Analysis of Brain Mitochondria Using Serial Block-Face Scanning Electron Microscopy.
abstract: Human brain is a high energy consuming organ that mainly relies on glucose as a fuel source. Glucose is catabolized by brain mitochondria via glycolysis, tri-carboxylic acid (TCA) cycle and oxidative phosphorylation (OXPHOS) pathways to produce cellular energy in the form of adenosine triphosphate (ATP). Impairment of mitochondrial ATP production causes mitochondrial disorders, which present clinically with prominent neurological and myopathic symptoms. Mitochondrial defects are also present in neurodevelopmental disorders (e.g. autism spectrum disorder) and neurodegenerative disorders (e.g. amyotrophic lateral sclerosis, Alzheimer's and Parkinson's diseases). Thus, there is an increased interest in the field for performing 3D analysis of mitochondrial morphology, structure and distribution under both healthy and disease states. The brain mitochondrial morphology is extremely diverse, with some mitochondria especially those in the synaptic region being in the range of <200 nm diameter, which is below the resolution limit of traditional light microscopy. Expressing a mitochondrially-targeted green fluorescent protein (GFP) in the brain significantly enhances the organellar detection by confocal microscopy. However, it does not overcome the constraints on the sensitivity of detection of relatively small sized mitochondria without oversaturating the images of large sized mitochondria. While serial transmission electron microscopy has been successfully used to characterize mitochondria at the neuronal synapse, this technique is extremely time-consuming especially when comparing multiple samples. The serial block-face scanning electron microscopy (SBFSEM) technique involves an automated process of sectioning, imaging blocks of tissue and data acquisition. Here, we provide a protocol to perform SBFSEM of a defined region from rodent brain to rapidly reconstruct and visualize mitochondrial morphology. This technique could also be used to provide accurate information on mitochondrial number, volume, size and distribution in a defined brain region. Since the obtained image resolution is high (typically under 10 nm) any gross mitochondrial morphological defects may also be detected.
authors: Virginia Tech Carilion Research Institute; konark@vtc.vt.edu.
authors: Konark
authors: K
authors: Mukherjee
authors: Virginia Tech Carilion Research Institute.
authors: Helen R
authors: HR
authors: Clark
authors: Virginia Tech Carilion Research Institute.
authors: Vrushali
authors: V
authors: Chavan
authors: Renovo Neural Incorporated.
authors: Emily K
authors: EK
authors: Benson
authors: Renovo Neural Incorporated.
authors: Grahame J
authors: GJ
authors: Kidd
authors: Virginia Tech Carilion Research Institute; Sarika_Srivastava@vtc.vt.edu.
authors: Sarika
authors: S
authors: Srivastava
mesh_terms: D000067877:Autism Spectrum Disorder; D001921:Brain; D006801:Humans; D008855:Microscopy, Electron, Scanning; D008928:Mitochondria; D013569:Synapses