Gene Editing Technologies: CRISPR/Cas9 and Beyond for Genetic Disease Therapy and Research

Sanjay Singh

doi:10.36676/urr.v11.i3.1280

Authors

Dr. Sanjay Singh Psychiatrist at National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru

DOI:

https://doi.org/10.36676/urr.v11.i3.1280

Keywords:

Gene, Technologies, CRISPR/Cas9, Genetic Disease, Therapy etc

Abstract

Gene editing technologies have revolutionized the field of genetic disease therapy and research. Among these, CRISPR/Cas9 stands out as a versatile tool for precisely targeting and modifying specific sequences within the genome. This paper provides an overview of CRISPR/Cas9 and other emerging gene editing technologies, discussing their potential applications in treating genetic diseases and advancing scientific research. Additionally, ethical considerations and challenges associated with gene editing are explored, along with future directions for this rapidly evolving field. Gene editing technologies have emerged as powerful tools in the field of genetic disease therapy and research, offering unprecedented precision and versatility in manipulating the genome. Among these technologies, CRISPR/Cas9 has garnered significant attention for its simplicity, efficiency, and accuracy in targeted gene modification.

References

A Dave, N. Banerjee and C. Patel, "CARE: Lightweight Attack Resilient Secure Boot Architecture with Onboard Recovery for RISC-V based SOC," 2021 22nd International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, USA, 2021, pp. 516-521, doi: 10.1109/ISQED51717.2021.9424322.

Aditya Pandey. (2023). The artificial intelligence and machine learning in the supply chain industry. International Journal for Research Publication and Seminar, 14(2), 36–40. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/389

Adli, Mazhar. "The CRISPR tool kit for genome editing and beyond." Nature Communications 9, no. 1 (2018): 1911.

Akhlaque Ahmad. (2023). The extension of supply chain resilience through industry 4.0. International Journal for Research Publication and Seminar, 14(2), 20–24. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/386

Atomode, D (2024). OPTIMIZING ENERGY EFFICIENCY IN MECHANICAL SYSTEMS: INNOVATIONS AND APPLICATIONS, Journal of Emerging Technologies and Innovative Research (JETIR), 11 (5), 458-464.

Chandrasegaran, Srinivasan, and Francisco J. Mojica. "Applications of CRISPR-Cas systems in biology and medicine." The FEBS Journal 283, no. 17 (2016): 3167-3179.

Cyranoski, David. "CRISPR gene-editing tested in a person for the first time." Nature News 539, no. 7630 (2016): 479.

Doudna, Jennifer A., and Emmanuelle Charpentier. "The new frontier of genome engineering with CRISPR-Cas9." Science 346, no. 6213 (2014): 1258096.

Dr. Neelam Raipuria Mangla. (2020). Exploring the Role of Resilience in Overcoming Traumatic Experiences. International Journal for Research Publication and Seminar, 11(4), 227–233. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/1221

Dr. Vikram Gupta. (2023). Recent Advancements in Computer Science: A Comprehensive Review of Emerging Technologies and Innovations. International Journal for Research Publication and Seminar, 14(1), 329–334. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/377

Gaj, Thomas, Christopher A. Gersbach, and Carlos F. Barbas III. "ZFN, TALEN, and CRISPR/Cas-based methods for genome engineering." Trends in Biotechnology 31, no. 7 (2013): 397-405.

Hsu, Patrick D., Eric S. Lander, and Feng Zhang. "Development and applications of CRISPR-Cas9 for genome engineering." Cell 157, no. 6 (2014): 1262-1278.

Jyoti. (2022). Harnessing the Potential of Plant Genetic Engineering for Crop Improvement and Sustainable Agriculture. Universal Research Reports, 9(4), 302–307. Retrieved from https://urr.shodhsagar.com/index.php/j/article/view/1045

Kanungo, S. (2024). Computer aided device for Managing, Monitoring, and Migrating Data Flows in the Cloud (Patent No. 6356178). GB Patent & Intellectual Property Office. https://www.registered-design.service.gov.uk/find/6356178

Komor, Alexis C., Yongjoo B. Kim, Michael S. Packer, John A. Zuris, and David R. Liu. "Programmable editing of a target base in genomic DNA without double-stranded DNA cleavage." Nature 533, no. 7603 (2016): 420-424.

Khalil, Ahmad M., and Charles A. Rupprecht. "Gene therapy for inherited diseases." Human Molecular Genetics 25, no. R1 (2016): R94-R100.

Kumar, V. (2017). Study of DNA sequencing, and sequencing methods. Universal Research Reports, 4(7), 122–125. Retrieved from https://urr.shodhsagar.com/index.php/j/article/view/228

Liang, Xue, Haowen Potter, Bo Liu, Yongxing Wang, Shuangping Xu, and Feng Zhang. "Rapid and highly efficient mammalian cell engineering via Cas9 protein transfection." Journal of Biotechnology 208 (2015): 44-53.

Monisha Arora. (2024). Investigating Genetic Variation in Disease Susceptibility. Universal Research Reports, 11(2), 79–92. https://doi.org/10.36676/urr.v11.i2.10

Nelson, Christopher E., Kristopher L. Nazor, Ciaran Lee, and Louise C. Laurent. "Institutional Oversight of Human Gene Editing." Cell Stem Cell 18, no. 3 (2016): 277-281.

S. Chandwani, K. (2021). Heart Disease & Diabetes Prediction using Machine Learning. International Journal for Research Publication and Seminar, 12(4), 38–43. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/171

Satyanarayan Kunungo , Sarath Ramabhotla , Manoj Bhoyar "The Integration of Data Engineering and Cloud Computing in the Age of Machine Learning and Artificial Intelligence" Iconic Research And Engineering Journals Volume 1 Issue 12 2018 Page 79-84

Vamsi Katragadda "Ethical AI in Customer Interactions: Implementing Safeguards and Governance Frameworks" Iconic Research And Engineering Journals Volume 7 Issue 12 2024 Page 394-397