Spectro-Metrics · Advanced Data Mining Procedures Applied to Raman Spectroscopy Investigations of Interactions between Drugs and Cells.
„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“
- Период
- 2018-05-28 → 2021-02-03
- Финансиране от ЕС
- 187 866 €
- Участници
- 1
- Схема
- MSCA-IF-EF-ST
Линиите свързват координатора с партньорите.
Накратко на български
Раманската спектроскопия и нови методи за анализ на данни се използват, за да се проследи как лекарствата навлизат в клетките и променят техния химичен състав. Това помага за разбиране на механизмите на действие и токсичността на препаратите, което може да подобри ефективността на химиотерапията.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Advanced Data Mining Procedures Applied to Raman Spectroscopy Investigations of Interactions between Drugs and Cells.
Spectro-metrics aimed to develop new data mining methodologies for the investigation of drug uptake and cellular responses using Raman Spectroscopy (RS). In short, RS is a very useful technique to i) track a drug within the cell and ii) capture phenotypical changes produced by the drug in the cell in terms of molecular composition. Therefore, this approach has an outstanding potential to study drug kinetics, mechanisms and modes of action, as well as cellular responses and toxicity, thus providing an approach to improve chemotherapy efficiency with promising applications in personalized medicine. However, the information in the Raman Spectrum is encrypted within a set of overlapped bands from different components, including the drug itself, as well as proteins, lipids, carbohydrates, and DNA from the cell. This makes the extraction of the interpretable data relative to the drug kinetics and cellular responses challenging. The project focused on the investigation of advanced data mining techniques such as multivariate Curve Resolution-Alternate Least Squares (MCR-ALS) to isolate the signal of the drug and the different chemical components of the cell, and thus monitor the drug uptake, chemical binding and subsequent cellular responses, kinetically.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
Spectro-Metrics focuses on the development and validation of advanced chemometric procedures for investigating drug intake and metabolism in cells using confocal Raman micro Spectroscopy (RS). The project will develop and optimize data mining procedures such as Multivariate Curve Resolution-Alternate Least Squares (MCR-ALS), Supported Vector Machines (SVM) and Science Based Calibration (SBC) for the extraction of biologically relevant information from RS of cells. The applicability of the procedures will be thoroughly validated in vitro including studies on the effect of drug concentration, incubation time and drug distribution within cells. Research activities will include the use of simulated and real spectroscopic data obtained from in vitro studies for investigating the effect of inoculation with the commercial drugs, doxorubicin (DOX) and actinomycin (ACT) in lung cancer cells, as a function of time and dose, as model systems. Upon completion, the project will produce validated methodologies and procedures for resolving Raman spectra which will lead to the elucidation of the modes of drug action and validation of Raman as a preclinical screening technique for drug design and discovery. The knowledge, grant writing skills and publication record acquired during the fellowship will place the Experienced Researcher (ER) in an invaluable position for achieving research independence, becoming a leading expert of chemometric treatment of RS data and eventually becoming a professor in one of the leading European universities in the field of clinical spectroscopy.
Оригинален текст от CORDIS (на английски).
Участници
- TECHNOLOGICAL UNIVERSITY DUBLIN · DublinКоординаторИрландия
Връзки
Данни: CORDIS, © Европейски съюз