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CATALYTEC: A New Hope for Genetic Diagnostics

Innovative CRISPR method enhances gene analysis in retinal diseases.

Valentin J. Weber, Alice Reschigna, Maximilian-J. Gerhardt, Klara S. Hinrichsmeyer, Dina Y. Otify, Thomas Heigl, Frank Blaser, Isabelle Meneau, Martin Biel, Stylianos Michalakis, Elvir Becirovic

― 7 min read


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Genetic Diseases can be tricky to diagnose, and surprisingly, even in well-equipped countries, a significant number of patients might miss out on proper testing. There's a group of amazing technologies like next-generation sequencing (NGS) that can help spot genetic issues, but they aren't perfect. Sometimes, they miss key details. This can prevent patients from getting the right treatments or getting involved in clinical trials.

The Role of Next-Generation Sequencing

Next-generation sequencing (NGS) technologies, like whole genome sequencing (WGS) and whole exome sequencing (WES), have made diagnosing genetic diseases more accessible. These methods can read the DNA code of a person and pinpoint Mutations that might lead to diseases. However, both have their drawbacks. WES, for instance, ignores a lot of important non-coding regions of DNA, which can affect how genes work. On the other hand, WGS can be quite expensive and time-consuming, making it less available for routine diagnostics.

When mutations are found, it's still important to check how these changes affect mRNA levels because that can tell us whether a mutation is actually harmful. Unfortunately, the current techniques to do this, like minigene assays, can be complicated and take a lot of time. Some mutations that seem harmless might still mess up mRNA processing, a bit like how a tiny stone in your shoe can throw off your whole walk.

The Need for Better Techniques

There’s a real need for simpler and more effective ways to identify and study mutations that affect the way mRNA is read and processed. The best way to check the transcripts of genes is to use tissue samples from patients, but that can be tricky. Some tissues, like the retina-which can be relevant for diseases involving vision-aren't easy to collect because it can be invasive and risky.

To tackle this problem, scientists came up with a new approach called CATALYTEC. This method uses a technology called CRISPR to activate genes in human cells that were quickly isolated. CATALYTEC allows for examining specific genes related to inherited retinal diseases (IRDs) without the need for risky procedures.

Why Focus on Certain Genes?

The scientists decided to focus their initial efforts on specific genes known to be involved in common retinal diseases, such as ABCA4, RPE65, MYO7A, and USH2A. Why these genes?

  1. Common Mutations: These genes often carry mutations that can lead to diseases like Stargardt disease and Leber congenital amaurosis.
  2. Large Gene Bodies: Three out of the four genes have large structures, making it harder to spot mutations, especially in non-coding areas.
  3. Therapeutic Potential: RPE65 is particularly important because it’s involved in a disease that can be treated with an approved gene therapy.

Getting Down to Business

To test CATALYTEC, scientists first played with the method in a type of cell called HEK293T. They used a modified version of the CRISPR system that could effectively boost the activity of targeted genes. By combining different components and guides that lead the CRISPR machinery to the right spots, they could activate these genes without much fuss.

After some trial and error, they managed to activate all the targeted genes at the same time without losing efficiency. This meant that they could potentially analyze genetic causes of diseases in a more straightforward way.

The Challenge of Transfecting Primary Cells

Next up was figuring out how to apply this technology to actual patient cells, like PBMCs (a type of blood cell) and skin fibroblasts. They tried different ways to introduce their CRISPR system into these cells. However, many of the common methods, like using calcium phosphate or lipids, didn't work well. Most of the time, the cells barely reacted to the introduction.

Lentiviral vectors, which can infect non-dividing cells, seemed promising but didn't provide the desired results. Even with tons of optimization, only weak gene activations were observed. So, the scientists switched their attention to other methods because they needed a reliable way to apply CATALYTEC in real testing situations.

Finding the Sweet Spot

Finally, they honed in on a method called nucleofection, which sent in their CRISPR components effectively. This method worked like a charm, leading to significant increases in gene activity for ABCA4 and RPE65. They could detect the full range of these genes' transcripts, demonstrating the method's capability.

Interestingly, they found that MYO7A, one of the genes they were looking at, was already getting expressed in primary cells, making things even easier. But they also noticed some challenges with USH2A, where they could only see parts of the gene being expressed.

Testing the Waters: A Look into Patient Cells

The researchers didn’t stop at just testing the technology on healthy cells. They applied the CATALYTEC protocol to several patients with confirmed retinal diseases. Each patient had varied clinical histories, and although most had undergone genetic testing before, only a couple had clear diagnoses.

After running their analyses on samples from these patients, they confirmed some mutations in genes linked with their retinal diseases. For instance, one patient held a specific mutation in RPE65 that was causing strange splicing behavior in their RNA. This is like baking a cake but realizing halfway through that you forgot an ingredient-something vital is missing.

In another patient with an ABCA4 mutation, they observed a splicing anomaly as well. The researchers could clearly see how these mutations were affecting gene translation, confirming the utility of CATALYTEC for diagnosing real diseases in patients.

Breaking Down the Results

Some impressive results came from using CATALYTEC. This method not only identified mutations, but also indicated that existing gene activation levels were significant enough to analyze various transcripts. By combining modern methods like short-read and long-read RNA sequencing, they could get a clearer picture of how genes were behaving in patients’ cells.

They established that the splicing patterns they observed in blood cells were surprisingly similar to those in retinal cells. This is crucial since it hints at the possibility that blood samples could serve as a proxy for directly studying retinal diseases-it's like getting to examine the results of a soccer match without being on the field!

The Future: What’s Next for CATALYTEC?

The scientists see CATALYTEC as a versatile method that could easily transfer to other genetic disorders where sample collection can be an obstacle. They also think that using simpler methods to gather cells, like buccal cells (cheek cells), might lead to even easier applications in diagnostics.

The idea is to build upon this approach, making genetic testing simpler, more accessible, and less invasive. Future studies could expand the kinds of genes activated, leading to even broader applications.

Conclusion: A Step Towards Better Diagnostics

In summary, CATALYTEC shines a light on the potential for CRISPR technology to improve genetic diagnostics. By allowing scientists to activate genes in patient cells without invasive procedures, it opens the door to better understanding and diagnosing a range of genetic disorders. As scientists work to fine-tune this method, this could change the landscape of how we detect and treat genetic diseases, making life a bit easier for patients.

Who knew that a little CRISPR could turn into a major game-changer? Moving forward, there are many more exciting possibilities on the horizon in the world of genetic diagnostics.

Original Source

Title: CRISPRa-mediated activation of genes associated with inherited retinal dystrophies in acutely isolated human cells for diagnostic purposes

Abstract: Many patients suffering from inherited diseases do not receive a genetic diagnosis and are therefore excluded as candidates for treatments, such as gene therapies. Analyzing disease-related gene transcripts from patient cells would improve detection of mutations that have been missed or misinterpreted in terms of pathogenicity during routine genome sequencing. However, the analysis of transcripts is complicated by the fact that a biopsy of the affected tissue is often not appropriate, and many disease-associated genes are not expressed in tissues or cells that can be easily obtained from patients. Here, using CRISPR/Cas-mediated transcriptional activation (CRISPRa) we developed a robust and efficient approach to activate genes in skin-derived fibroblasts and in freshly isolated peripheral blood mononuclear cells (PBMCs) from healthy individuals. This approach was successfully applied to blood samples from patients with inherited retinal dystrophies (IRD). We were able to efficiently activate several IRD-linked genes and detect the corresponding transcripts using different diagnostically relevant methods such as RT-qPCR, RT-PCR and long- and short-read RNA sequencing. The detection and analysis of known and unknown mRNA isoforms demonstrates the potential of CRISPRa-mediated transcriptional activation in PBMCs. These results will contribute to ceasing the critical gap in the genetic diagnosis of patients with IRD or other inherited diseases. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=140 SRC="FIGDIR/small/625601v1_ufig1.gif" ALT="Figure 1"> View larger version (47K): [email protected]@c4c742org.highwire.dtl.DTLVardef@f5c28dorg.highwire.dtl.DTLVardef@b7cf11_HPS_FORMAT_FIGEXP M_FIG C_FIG

Authors: Valentin J. Weber, Alice Reschigna, Maximilian-J. Gerhardt, Klara S. Hinrichsmeyer, Dina Y. Otify, Thomas Heigl, Frank Blaser, Isabelle Meneau, Martin Biel, Stylianos Michalakis, Elvir Becirovic

Last Update: 2024-12-01 00:00:00

Language: English

Source URL: https://www.biorxiv.org/content/10.1101/2024.11.29.625601

Source PDF: https://www.biorxiv.org/content/10.1101/2024.11.29.625601.full.pdf

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to biorxiv for use of its open access interoperability.

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