Deep Learning Enhances the Efficiency of Genome Editing Technologies.
Genome editing technologies provide huge opportunities for the treatment of genetic diseases.
Procedures such as the extensively used CRISPR/Cas9 gene scissors directly deal with the reason for disease in DNA.
The scissors are employed in the lab to carry out targeted alterations to the genetic matter in cell lines and model organisms and to analyze biological systems.
The advanced development of this standard CRISPR/Cas9 technique is known as prime editing.
In contrast to the traditional gene scissors that form a break in the two strands of the DNA molecule, prime editing cuts and rectifies DNA on just one.
The prime editing guide RNA (pegRNA) accurately targets the applicable site in the genome and offers the new genetic data, which is then transcribed by a “translation enzyme” and integrated into the DNA.
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Foreign [Music] Ing enhances the efficiency of genome Editing Technologies genome editing Technologies provide huge opportunities For the treatment of genetic diseases Procedures such as the extensively used Crisp rcas-9 Gene scissors directly deal With the reason for disease and DNA the Scissors are employed in the lab to Carry out targeted alterations to the Genetic matter in cell lines and model Organisms and to analyze biological Systems the advanced development of this Standard crisp rcas-9 technique is known As Prime editing in contrast to the Traditional Gene scissors that form a Break in the two strands of the DNA Molecule Prime editing cuts and Rectifies DNA on just one the prime Editing guide RNA pegarna accurately Targets the applicable site in the Genome and offers the new genetic data Which is then transcribed by a Translation enzyme and integrated into The DNA to stay up to date with latest Top stories make sure to subscribe to This YouTube channel by clicking the Button above this video finding the most Efficient DNA repair options Prime Editing promises to be an operational Technique for repairing disease Triggering mutations in patients genomes However regarding its successful
Application it is crucial to minimize Unplanned site effects like mistakes in DNA correction or modification of DNA And other areas of the genome according To preliminary studies Prime editing Results in a considerably lower number Of unplanned modifications than Traditional crisp rcas9 methods however Scientists still have to spend a Substantial amount of time improving the Pegrina for direct targeting in the Genome there are over 200 repair Possibilities per mutation in theory we Would have to test every single design Option each time to find the most Efficient and accurate pegarna Gerald Schwank Professor Institute of Pharmacology and toxicology University Of Zurich analyzing a large data set With AI schwank and his research team Were Keen to discover a simpler solution Along with Michael Krauthammer uzh Professor at the department Department Of quantitative biomedicine they Formulated a technique that can predict The efficiency of pagranas by examining More than one hundred thousand different Pagranas in human cells they could Produce a detailed Prime editing data Set this allowed them to determine which Properties of a pagan are such as the Sequence of DNA building blocks the Length of the DNA sequence or the shape Of the DNA molecule positively or
Negatively impact the prime editing Procedure next the team prepared an Artificial intelligence ai-based Algorithm to identify patterns in the Pegrino of significance for efficiency Established on these patterns the train Tool can forecast both the effectiveness And precision of genome editing with a Specific pegarna in other words the Algorithm can determine the most Efficient pegarna for correcting a Particular mutation Michael Krauthammer Professor Department of quantitative Biomedicine University of Zurich the Tool has already been tested for its Effectiveness in mice and human cells And is freely available to scientists Long-term goal repairing hereditary Diseases additional pre-clinical studies Are still required before the new Prime Editing tool can be administered to Humans however the scientists are Self-assured that in the near future it Will be feasible to employ Prime editing To treat the DNA mutations of common Genetic diseases like cystic fibrosis Sickle cell anemia or metabolic diseases [Music]
