Project information
Bioanalytical Cell and Tissue Authentication using Physical Chemistry Methods and Artificial Intelligence
- Project Identification
- MUNI/M/0041/2013
- Project Period
- 5/2013 - 12/2015
- Investor / Pogramme / Project type
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Masaryk University
- Grant Agency of Masaryk University
- INTERDISCIPLINARY - Interdisciplinary research projects
- MU Faculty or unit
- Faculty of Medicine
- Other MU Faculty/Unit
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Faculty of Science
- prof. RNDr. Josef Havel, DrSc.
- Mgr. Filippo Amato, Ph.D.
- Mgr. Ing. Lubomír Prokeš, Ph.D.
Identification of cells, tissues or evaluation of their state and pathology relies nowadays mainly on light microscopy, genetic analysis or molecular characterization using specific cell or tissue markers. However, changes in cell phenotype that do not show alterations in cell morphology, karyotype composition, genome re-arrangements or simply are not covered by particular molecular markers may stay unrecognized. Advanced bioanalytical methods, such matrix-assisted laser desorption/ionization – time of flight mass spectrometry (MALDI-TOF MS) provide a powerful tool for discrimination and characterization of various chemical compounds, dependent on their mass to charge ratio (m/z). MALDI-TOF mass spectra generated from ionized molecules desorbed from the whole cells and tissues are very complex and depend strongly on the experimental conditions, matrix choice, machine setup or even the operator skill. However, they may serve as input data for sophisticated mathematical analysis, e.g. artificial intelligence or artificial neural networks (AI/ANN) resulting in complementary image of cell or tissue compositions. Direct whole cell- or tissue-MALDI-TOF MS followed by AI/ANN bypass the need for particular markers and/or direct observation that is sometimes limited. By using anonymous mass spectra aligned with already known characteristics may provide fast, robust and independent method for recognition of the whole cells and tissues and to be suitable even for automated diagnostics. This projects aims for adaptation of current MALDI-TOF technology for cytological and histological evaluations and together with AI/ANN develop a framework for diagnosing of tissue samples, archive slides or clinical-grade cell cultures.
Publications
Total number of publications: 13
2016
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Centrozomální abnormality a multipolární dělení u lidských embryonálních kmenových buněk
Year: 2016, type: Conference abstract
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Multivariate Calibration Approach for Quantitative Determination of Cell-Line Cross Contamination by Intact Cell Mass Spectrometry and Artificial Neural Networks
Plos One, year: 2016, volume: 11, edition: 1, DOI
2015
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Application of MOF´s for sensitive MS detection of retinoic acid
Year: 2015, type: Appeared in Conference without Proceedings
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Intact-cell MALDI TOF MS for mammalian cell identification and authentication
Year: 2015, type:
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Mass Spectrometry of Metal Organic Frameworks (MOFs)
Year: 2015, type: Appeared in Conference without Proceedings
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Metal-organic frameworks as matrices for mass spectrometry of biomolecules
Year: 2015, type: Conference abstract
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MOFs as new materials for MALDI and SALDI TOF mass spectrometry
Year: 2015, type: Appeared in Conference without Proceedings
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The use of flower-like gold nanoparticles in time-of-flight mass spectrometry
Year: 2015, type: Conference abstract
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Use of flower-like gold nanoparticles in time-of-flight mass spectrometry
Rapid Communication in Mass Spectrometry, year: 2015, volume: 29, edition: 17, DOI
2014
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Tissue profiling by nanogold-mediated mass spectrometry and artificial neural networks in the mouse model of human primary hyperoxaluria 1
Journal of Applied Biomedicine, year: 2014, volume: 12, edition: 2, DOI