Daehwan Kim
Associate Project Scientist at University Of California, Berkeley
Based in United States
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Seniority
Staff
Department
Science
Location
United States
Industry
Higher Education
Company size
24K
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d•••••••@berkeley.edu
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Background
About Daehwan Kim
Research Interests * Understanding neuroprotective effect of stem cell secretome on neurodegenerative diseases - Investigating core factors and mechanisms of secretome's neuroprotective effect - Tracking of the delivery system of PSC's secretome - Finding common mechanisms of neurodegenerative diseases * Systemic aging process - Profiling circulating cycles of blood factors (Young factors and Old factors)- Application of plasmapheresis in aging research - Discovering biomarkers of aging (Inflammaging, Biological age and noise)- Partially reprogramming and rejuvenation * Stem cell application - Organogenesis - Physiological interaction between organoids - Stem cell-based regenerative medicine-Organoids Research Experience * Cell culture - Isolation and culture of various primary cells (skin, dental pulp, bone marrow, and embryo)- Stem cell differentiation (Neuron, Motor neuron, Medium spiny neuron, NPCs)- Optimization of cell culture and differentiation with small molecules (high efficiency)- Generation of gene-edited iPSCs (Using retrovirus, lentivirus, CRISPR-CAS9)* Molecular analysis - qPCR, Western blot, Immunostaining, Viability, Apoptotic assay (Anexin5/PI), ELISA, DNA damage assay, Mitochondria damage (membrane potential), Flowcytometry, image analysis (e.g. confocal microscopy) Antibody array, Bisulfite sequencing, Microarray, RNA sequencing.* In vivo experiment - Neurodegenerative model, young and aged model - Behavior test, Cryosection (Brain, spinal cord, muscle, Liver, digit tip, Teratoma), histological analysis (H&E, Trichrome staining, immunostaining)- Embryo manipulation (mouse, bovine, porcine)- Nuclear transfer (cloning), Chimeric embryo, embryo transfer (only mouse)* Data analysis - Graphpad, Word, Excel, Powerpoint, Photoshop, DAVID, Galaxy - Learning Python (To better understand the various data resources)
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