Chapter title |
Viral Vectors, Engineered Cells and the CRISPR Revolution
|
---|---|
Chapter number | 1 |
Book title |
Precision Medicine, CRISPR, and Genome Engineering
|
Published in |
Advances in experimental medicine and biology, January 2017
|
DOI | 10.1007/978-3-319-63904-8_1 |
Pubmed ID | |
Book ISBNs |
978-3-31-963903-1, 978-3-31-963904-8
|
Authors |
James E. DiCarlo, Anurag Deeconda, Stephen H. Tsang, DiCarlo, James E., Deeconda, Anurag, Tsang, Stephen H. |
Abstract |
Over the past few decades the ability to edit human cells has revolutionized modern biology and medicine. With advances in genome editing methodologies, gene delivery and cell-based therapeutics targeted at treatment of genetic disease have become a reality that will become more and more essential in clinical practice. Modifying specific mutations in eukaryotic cells using CRISPR-Cas systems derived from prokaryotic immune systems has allowed for precision in correcting various disease mutations. Furthermore, delivery of genetic payloads by employing viral tropism has become a crucial and effective mechanism for delivering genes and gene editing systems into cells. Lastly, cells modified ex vivo have tremendous potential and have shown effective in studying and treating a myriad of diseases. This chapter seeks to highlight and review important progress in the realm of the editing of human cells using CRISPR-Cas systems, the use of viruses as vectors for gene therapy, and the application of engineered cells to study and treat disease. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Netherlands | 1 | 33% |
Libya | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 47 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 14 | 30% |
Student > Master | 7 | 15% |
Researcher | 7 | 15% |
Student > Ph. D. Student | 2 | 4% |
Student > Doctoral Student | 2 | 4% |
Other | 2 | 4% |
Unknown | 13 | 28% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 18 | 38% |
Medicine and Dentistry | 5 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Engineering | 2 | 4% |
Immunology and Microbiology | 2 | 4% |
Other | 4 | 9% |
Unknown | 14 | 30% |