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Yonsei University Wonju College of Medicine

3 ARTICLES PUBLISHED IN JoVE

Neuroscience

Neurobehavioral Assessments in a Mouse Model of Neonatal Hypoxic-ischemic Brain Injury

MinGi Kim^1,2, Ji Hea Yu¹, Jung Hwa Seo^1,2, Yoon-Kyum Shin^1,2, Soohyun Wi^1,2, Ahreum Baek^1,3, Suk-Young Song^1,5, Sung-Rae Cho^1,2,4,5

¹Department and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, ²Brain Korea 21 PLUS Project for Medical Science, Yonsei University, ³Department of Rehabilitation Medicine, Yonsei University Wonju College of Medicine, ⁴Rehabilitation Institute of Neuromuscular Disease, Yonsei University College of Medicine, ⁵Graduate Program of NanoScience and Technology, Yonsei University

We performed unilateral carotid artery occlusion on postnatal day 7-10 CD-1 mouse pups to create a neonatal hypoxic-ischemic (HI) model and investigated the effects of HI brain injury. We studied neurobehavioral functions in these mice compared to non-operated normal mice.

Medicine

In vitro Time-lapse Live-Cell Imaging to Explore Cell Migration toward the Organ of Corti

Jeong-Eun Park^*1,2,3, Su Hoon Lee^*1,2, Dong Jun Park^1,2, Young Joon Seo^1,2, Sung Kyun Kim³

¹Department of Otorhinolaryngology, Yonsei University Wonju College of Medicine, ²Research Institute of Hearing Enhancement, Yonsei University Wonju College of Medicine, ³Department of Otorhinolaryngology Head and Neck Surgery, Hallym University College of Medicine

In this study, we present a real-time imaging method using confocal microscopy to observe cells moving toward damaged tissue by ex vivo incubation with the cochlear epithelium containing the organ of Corti.

Behavior

A Smartphone-Based Imaging Method for C. elegans Lawn Avoidance Assay

Saebom Kwon¹, Jin I. Lee², Kyoung-hye Yoon¹

¹Department of Physiology, Mitohormesis Research Center, Yonsei University Wonju College of Medicine, ²Division of Biological Science and Technology, College of Science and Technology, Yonsei University, Mirae Campus

This article describes a simple, low-cost method of recording the lawn avoidance behavior of Caenorhabditis elegans, using readily available items such as a smartphone and a light emitting diode (LED) light box. We also provide a Python script to process the video file into a format more amenable for counting.