Systematically and thoroughly explain the direct reprogramming technology that can induce differentiation into the desired cells with low cancer risk, at a low cost, and efficiently!
◇ Following the forefront of research on direct programming technology, which is expected to be applied in regenerative medicine and cancer treatment! ◇ Systematically detailing direct programming technology that can induce differentiation into target cells efficiently and cost-effectively with minimal cancerization risk! ◇ Explaining the current status of direct programming technology, which is expected to be utilized in the future of regenerative medicine, including applications in drug discovery and personalized medicine! ◇ Providing a detailed explanation of direct programming technology that offers a new perspective on cell reprogramming research!
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basic information
"Direct Reprogramming: New Developments in Regenerative Medicine" ■Publication Date: August 2020 ■Price: 45,000 yen + tax ■Format: B5 size, 316 pages ■Supervised by: Atsushi Suzuki (Professor, Institute of Medical Science and Technology, Kyushu University) ■Published by: NTS Corporation ISBN978-4-86043-671-1 ■Table of Contents Introduction: Current Status and Future Prospects of Direct Reprogramming Research Part 1: Development of Direct Reprogramming Technologies Using Cell Fate Control Factors Part 2: Efforts Toward Medical Applications of Direct Reprogramming Part 3: Fundamental Technologies Supporting the Advancement of Direct Reprogramming
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List price: 45,000 yen + tax
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P2
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P2
Applications/Examples of results
Cell fate control factors Microglia Artificial neuron regeneration Retinal nerve cells Neural crest cells Cardiac pacemaker cells Skeletal muscle stem cells Lung epithelial cells Hepatocytes Pancreatic beta cells Type 1 diabetes Intestinal stem/progenitor cells Neurodegenerative disease treatment Corneal epithelial stem cell depletion treatment Muscular dystrophy drug screening Non-steroidal anti-inflammatory drug diclofenac Cancer cell control and tumor suppression Negative single-stranded RNA virus vector Recombinant artificial transcription factor protein Epigenome editing Transcriptome analysis Single-cell epigenome analysis technology Transcriptional regulatory networks Cell lineage trajectory estimation tools Data-driven direct reprogramming Organ regeneration through stem cell self-organization Mechanical stress
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