Back to Authors

Glancy, Brian

0000-0002-8571-244X

Mayo Clinic

National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA.

Citations 2

Systematic Transmission Electron Microscopy‐Based Identification and 3D Reconstruction of Cellular Degradation Machinery
Neikirk, Kit , Vue, Zer , Katti, Prasanna , Rodriguez, Ben I., Omer, Salem, Shao, Jianqiang, Christensen, Trace , Garza-López, Edgar , Marshall, Andrea G. , Palavicino‐Maggio, Caroline B. , Ponce, Jessica, Alghanem, Ahmad F. , Vang, Larry , Barongan, Taylor , Rodman, Taylor, Stephens, Dominique, Mungai, Margaret , Murray, Sandra , Crabtree, Amber , Pereira, Renata O. , Hinton, Antentor , Glancy, Brian , Abel, E Dale , Hinton, Antentor , Pereira, Renata O , Katti, Prasanna , Murray, Sandra A , Marshall, Andrea G , Beasley, Heather K. , Stephens, Dominique C., Correia, Marcelo , Exil, Vernat , Damo, Steven M. , Glancy, Brian , Abel, E. Dale

Advanced Biology | March 3, 2023 | Volume: 7 | Issue: 6 | Pages: No page available

10.1002/adbi.202200221 Get It

Abstract Various intracellular degradation organelles, including autophagosomes, lysosomes, and endosomes, work in tandem to perform autophagy, which is crucial for cellular homeostasis. Altered autophagy contributes to the pathophysiology of various diseases, including cancers and metabolic diseases. This paper aims to describe an approach to reproducibly identify and distinguish subcellular structures involved in macroautophagy. Methods are provided that help avoid common pitfalls. How to distinguish between lysosomes, lipid droplets, autolysosomes, autophagosomes, and inclusion bodies are also discussed. These methods use transmission electron microscopy (TEM), which is able to generate nanometer‐scale micrographs of cellular degradation components in a fixed sample. Serial block face‐scanning electron microscopy is also used to visualize the 3D morphology of degradation machinery using the Amira software. In addition to TEM and 3D reconstruction, other imaging techniques are discussed, such as immunofluorescence and immunogold labeling, which can be used to classify cellular organelles, reliably and accurately. Results show how these methods may be used to accurately quantify cellular degradation machinery under various conditions, such as treatment with the endoplasmic reticulum stressor thapsigargin or ablation of the dynamin‐related protein 1.
Increased Reactive Oxygen Species Production and Lower Abundance of Complex I Subunits and Carnitine Palmitoyltransferase 1B Protein Despite Normal Mitochondrial Respiration in Insulin-Resistant Human Skeletal Muscle
Lefort, Natalie , Glancy, Brian , Willis, Wayne T. , Bailowitz, Zachary, Filippis, Elena A. De, Brophy, Colleen M., Højlund, Kurt , Yi, Zhengping , Mandarino, Lawrence J. , Bowen, Benjamin P. , Meyer, Christian , Glancy, Brian

Diabetes | August 4, 2010 | Volume: 59 | Issue: 10 | Pages: 2444-2452

10.2337/db10-0174 Get It

OBJECTIVE The contribution of mitochondrial dysfunction to skeletal muscle insulin resistance remains elusive. Comparative proteomics are being applied to generate new hypotheses in human biology and were applied here to isolated mitochondria to identify novel changes in mitochondrial protein abundance present in insulin-resistant muscle. RESEARCH DESIGN AND METHODS Mitochondria were isolated from vastus lateralis muscle from lean and insulin-sensitive individuals and from obese and insulin-resistant individuals who were otherwise healthy. Respiration and reactive oxygen species (ROS) production rates were measured in vitro. Relative abundances of proteins detected by mass spectrometry were determined using a normalized spectral abundance factor method. RESULTS NADH- and FADH2-linked maximal respiration rates were similar between lean and obese individuals. Rates of pyruvate and palmitoyl-dl-carnitine (both including malate) ROS production were significantly higher in obesity. Mitochondria from obese individuals maintained higher (more negative) extramitochondrial ATP free energy at low metabolic flux, suggesting that stronger mitochondrial thermodynamic driving forces may underlie the higher ROS production. Tandem mass spectrometry identified protein abundance differences per mitochondrial mass in insulin resistance, including lower abundance of complex I subunits and enzymes involved in the oxidation of branched-chain amino acids (BCAA) and fatty acids (e.g., carnitine palmitoyltransferase 1B). CONCLUSIONS We provide data suggesting normal oxidative capacity of mitochondria in insulin-resistant skeletal muscle in parallel with high rates of ROS production. Furthermore, we show specific abundance differences in proteins involved in fat and BCAA oxidation that might contribute to the accumulation of lipid and BCAA frequently associated with the pathogenesis of insulin resistance.