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Record W2566990832 · doi:10.1016/s1525-0016(16)34168-5

559. Spell Checking Nature: A Therapeutic Use of the CRISPR/Cas9 System in Duchenne Muscular Dystrophy

2015· article· en· W2566990832 on OpenAlexaff
Daria Wojtal, Dwi U. Kemaladewi, Zeenat Malam, Sarah Abdullah, Elzbieta Hyatt, Victoria Huang, Vincent Mouly, Thomas Voït, Francesco Muntoni, Evgueni A. Ivakine, Ronald D. Cohn

Bibliographic record

VenueMolecular Therapy · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsCRISPRCas9Duchenne muscular dystrophyGenome editingBiologyDystrophinGeneticsGeneGuide RNAPoint mutationExonComputational biologyMutation

Abstract

fetched live from OpenAlex

Recently the high precision genome-modifying technology, originated from a prokaryotic defense mechanism called the Clustered Regularly Interspaced Short Palindromic Repeat (CRISPR) system, has been harnessed as a tool for programmable, high precision gene modification in eukaryotes. Thus far it has been shown to be highly effective in inactivating genes, however little is known about the gene editing and regulation capabilities of this system. As a proof of concept we utilized CRISPR/Cas9 system to study three different therapeutic approaches for Duchenne Muscular Dystrophy (DMD), a devastating X-linked neuromuscular disorder. The first approach is aimed at approximately 26% of patients that have point mutations in DMD gene. Here we used gene editing to correct DMD E2035X, a pathogenic mutation in DMD patient myoblasts by designing short RNA sequences complementary to the locus called guides, paired with the Streptococcus pyogenes Cas9. We were able to generate targeted double stranded DNA breaks that were corrected through homology directed repair using single stranded oligos carrying the corrected DNA sequence. Other pathogenic DMD mutations are duplications, which are found in approximately 13% of DMD patients. Utilizing a modified CRISPR strategy that involves a double nuclease approach we deleted a 145 kb (Exons 18-30) duplication and restored dystrophin expression in patient cells. Furthermore, as an universal, mutation-independent treatment approach, we have also utilized a third modified CRISPR system to upregulate utrophin expression to compensate for the loss of dystrophin. In DMD patient myoblasts, we utilized S.pyogenes Cas9, fused to transcriptional activator VP160 to target utrophin promoter. We demonstrated 2.5-5 fold utrophin upregulation resulting in increased expression of β-dystroglycan, providing evidence for functional significance of this strategy. Lastly, in order to determine if this tool is of potential clinical significance, we have began to interrogate CRISPR/Cas9 system in dystrophin-deficient mdx mouse. We have developed strategies for the delivery of CRISPR machinery via rAAV with the goal to achieve dystrophin editing and utrophin upregulation simultaneously in vivo. Taken together, our proof of concept studies provide insights into the potentially far-reaching impact of the therapeutic benefits of the CRISPR system that can be adapted to target a variety of mutations in DMD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.740

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.282
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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