Advanced Methodology for Rapid Isolation of Single Myofibers from Flexor Digitorum Brevis Muscle
Year: 2023
Type: article
Abstract: Isolated individual myofibers are valuable experimental models that can be used in various conditions to understand skeletal muscle physiology and pathophysiology at the tissue and cellular level. This report details a time- and cost-effective method for isolation of single myofibers from the flexor digitorum brevis (FDB) muscle in both young and aged mice. The FDB muscle was chosen for its documented history in single myofiber experiments. By modifying published methods for FDB myofiber isolation, we have optimized the protocol by first separating FDB muscle into individual bundles before the digestion, followed by optimizing the subsequent digestion medium conditions to ensure reproducibility. Morphological and functional assessments demonstrate a high yield of isolated FDB myofibers with sarcolemma integrity achieved in a shorter time frame than previous published procedures. This method could be also adapted to other types of skeletal muscle. Additionally, this highly reproducible method can greatly reduce the number of animals needed to yield adequate numbers of myofibers for experiments. Thus, this advanced method for myofiber isolation has the potential to accelerate research in skeletal muscle physiology and screening potential therapeutics “ ex vivo ” for muscle diseases and regeneration.
Authors: Kamal Awad, Logan Moore, Jian Huang, Lauren Gomez, Leticia Brotto, Venu Varanasi, Christopher Cardozo, Noah Weisleder, Zui Pan, Jingsong Zhou, Lynda Bonewald, Marco Brotto
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Awards: G1676538363, G2060918923, G2235342914, OSTEOCYTE REGULATION OF BONE/MUSCLE WITH AGING, G4201486345, Protecting the Diabetic Skeletal Muscle by Nampt Activation, G7376853709, G9000086062, G9000173769, G9000206401, G9000300430, Multifaceted role of MG53 in alleviating neuromuscular function decline in ALS
OpenAlex ID: W4366996731
