2020
DOI: 10.1016/j.lfs.2020.118165
|View full text |Cite
|
Sign up to set email alerts
|

CRISPR/Cas9 novel therapeutic road for the treatment of neurodegenerative diseases

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
30
0
1

Year Published

2020
2020
2024
2024

Publication Types

Select...
8
1
1

Relationship

0
10

Authors

Journals

citations
Cited by 35 publications
(31 citation statements)
references
References 55 publications
0
30
0
1
Order By: Relevance
“…Gene editing is accurate and involves targeted cleavage of specific double stranded sequence of the DNA and utilization of various DNA repair pathways. Cleavage is mainly performed by nucleases namely, ZFN, TALEN, meganucleases, and CRISPR-Cas-9 system [374]. CRISPR is gaining a lot of attention these days due to lacunae in effective treatment of neurological disorders.…”
Section: Crispr-cas Systemmentioning
confidence: 99%
“…Gene editing is accurate and involves targeted cleavage of specific double stranded sequence of the DNA and utilization of various DNA repair pathways. Cleavage is mainly performed by nucleases namely, ZFN, TALEN, meganucleases, and CRISPR-Cas-9 system [374]. CRISPR is gaining a lot of attention these days due to lacunae in effective treatment of neurological disorders.…”
Section: Crispr-cas Systemmentioning
confidence: 99%
“…These gene knock-out models have been employed extensively toward refining searches for genetic disease susceptibility loci. In preclinical models of AD, most CRISPR-Cas9 mediated therapies are directed toward inhibiting the neurotoxic form of Aβ proteins and deactivation of γ -secretase activating protein (Karimian et al, 2020), and have demonstrated encouraging results toward their therapeutic application in both FAD and LOAD. The CRISPR-Cas9 system has also been utilized to generate numerous knockout models of inflammatory arthritis and OP.…”
Section: Alternative Treatment Paradigmsmentioning
confidence: 99%
“…This system is very useful to create disease models or to discover new etiological agents, allowing researchers to better understand their biology. Examples include cancer, neurological diseases, cardiovascular diseases, immunodeficiency, infectious diseases, sickle cell disease, hemophilia, metabolic diseases, cystic fibrosis, retinitis pigmentosa, and several others (reviewed in [ 36 , 37 , 38 , 39 , 40 , 41 , 42 ]). In particular, the treatment and characterization of cancer is very promising, and hundreds of publications are available on this topic (for recent reviews, see for example [ 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 ]).…”
Section: Introductionmentioning
confidence: 99%