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New method uses stiffness exosomes new: In addition. For example,
New method uses stiffness exosomes:
The research team led by senior researchers Yoonhee Lee from the division of biomedical. Consequently. For example, gyogwon Koo technology of the intelligent robot division at DGIST (under President Kunwoo Lee) has developed a technology that distinguishes mutations in lung cancer genes only by measuring the “stiffness” of the exosomes-tiny microscopy (AFM).
Their study allows a rapid. Similarly. In addition, precise analysis of individual exosomes and should progress in a new diagnostic technique based on liquid biopsy for lung cancer.
Lung cancer not with small cells (NSCLC) is the most common type of lung cancer. In addition, representing more than 85% of all cases. However. However. Moreover, as it rarely shows notable symptoms in the early stages, it is often diagnosed at an advanced stage, which makes treatment difficult.
The RSCLC new method uses stiffness exosomes new continues to have a high new method uses stiffness exosomes mortality rate. Moreover. and the development of new diagnostic technologies that allow early detection and treatment remains an important challenge in the medical field. Meanwhile, In particular, conventional tissue biopsies grant a considerable charge for patients and have limits in repeated tests. As such, non -invasive liquid biopsy technology using blood -derived information has recently drawn attention.
The research team led by senior researchers Yoonhee Lee. Gyogwon KOO in DGIST isolated from exosomes of NSCLC cell lines with distinct genetic mutations (A549: KRAS mutation. PC9: EGFR mutation, PC9 / GR: EGFR resistant mutation). Using the AFM. the team measured the nano-scale physical properties of individual exosomes with high resolution. including the rigidity of the surface and the height / radius ratius.
They found that the exosomes derived from A549 cells had significantly higher rigidity. which indicated that the alterations of new method uses stiffness exosomes new the lipids of the cellular membrane caused by KRAS mutations new method uses. stiffness exosomes were also reflected in exosomes.
On the other hand. the exosomes derived from PC9. PC9 / GR cells have shown similar properties, suggesting a correlation with their shared genetic background. These results demonstrate that the physical properties of exosomes vary depending on the genetic mutations of the cancer cells. from which they come.
To precisely classify these nanomechanical characteristics of exosomes, the research team used AI technology. The data on the height. the rigidity of the exosomes obtained via the AFM were viewed. used to form a convolutionary neural network model based on in-depth learning (densenet-121) to classify their cellular line lines.
The exosomes derived from A549 cells were distinguished with remarkably high precision of 96%, and the overall average ACC reached 0.92. This demonstrates the potential of a new generation liquid biopsy platform capable new method uses stiffness exosomes new of high precision classification based solely on. the physical properties of exosomes. without new method uses stiffness exosomes the need for fluorescent marking.
Main researchers Yoonhee Lee. Gyogwon Koo said: “This study has a new diagnostic potential to distinguish lung cancer with specific genetic mutations using. only a small amount of exosome samples. We plan to actively continue the practical application of this technology by integrating a high speed AFM platform in. the validation of clinical samples. »»
New method uses stiffness exosomes new
New method uses stiffness exosomes
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