| Chapter title |
Personalised Medicine: Genome Maintenance Lessons Learned from Studies in Yeast as a Model Organism
|
|---|---|
| Chapter number | 9 |
| Book title |
Personalised Medicine
|
| Published in |
Advances in experimental medicine and biology, August 2017
|
| DOI | 10.1007/978-3-319-60733-7_9 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-960731-3, 978-3-31-960733-7
|
| Authors |
Abugable, Arwa A., Awwad, Dahlia A., Fleifel, Dalia, Ali, Mohamed M., El-Khamisy, Sherif, Elserafy, Menattallah, Arwa A. Abugable, Dahlia A. Awwad, Dalia Fleifel, Mohamed M. Ali, Sherif El-Khamisy, Menattallah Elserafy |
| Abstract |
Yeast research has been tremendously contributing to the understanding of a variety of molecular pathways due to the ease of its genetic manipulation, fast doubling time as well as being cost-effective. The understanding of these pathways did not only help scientists learn more about the cellular functions but also assisted in deciphering the genetic and cellular defects behind multiple diseases. Hence, yeast research not only opened the doors for transforming basic research into applied research, but also paved the roads for improving diagnosis and innovating personalized therapy of different diseases. In this chapter, we discuss how yeast research has contributed to understanding major genome maintenance pathways such as the S-phase checkpoint activation pathways, repair via homologous recombination and non-homologous end joining as well as topoisomerases-induced protein linked DNA breaks repair. Defects in these pathways lead to neurodegenerative diseases and cancer. Thus, the understanding of the exact genetic defects underlying these diseases allowed the development of personalized medicine, improving the diagnosis and treatment and overcoming the detriments of current conventional therapies such as the side effects, toxicity as well as drug resistance. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 19% |
| Student > Bachelor | 8 | 17% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Master | 5 | 11% |
| Other | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 11 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 49% |
| Agricultural and Biological Sciences | 4 | 9% |
| Economics, Econometrics and Finance | 3 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Arts and Humanities | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 13 | 28% |