METODOLOGICAL ISSUES IN PROTEIN AND LIPIDIC EXPRESSIONS IN BRAIN TISSUE EXPOSED TO Co60 BASED ON DESI/MALDI-MSI
The present paper attempts to present important issues in the methodology of identifying lipid and protein changes in brain tissue induced by radiation. The goal was to address the analysis of the methodology and to investigate the feasibility of the generation of lipid/protein profiles of irradiat...
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Brazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR)
2019-02-01
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| Series: | Brazilian Journal of Radiation Sciences |
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| Online Access: | https://bjrs.org.br/revista/index.php/REVISTA/article/view/581 |
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| author | Matheus Figueiredo Soares Mingote |
| author_facet | Matheus Figueiredo Soares Mingote |
| author_sort | Matheus Figueiredo Soares Mingote |
| collection | DOAJ |
| description | The present paper attempts to present important issues in the methodology of identifying lipid and protein changes in brain tissue induced by radiation. The goal was to address the analysis of the methodology and to investigate the feasibility of the generation of lipid/protein profiles of irradiated brain tissue; disregarding the results of the analyses. Lipids and proteins are biomolecules with diverse structures and functionalities that participate in important intracellular processes. Changes in the lipid and the tissue protein profiles may indicate a cellular response to an external stimulus as well as the emergence of neoplasms or neurodegenerative diseases such as Alzheimer's. DESI-MSI is a convenient method for identifying lipids and their spatial distribution in tissue beyond analytical quantification. DESI-MS allows the creation of an image of several low lipid m/z classes. MALDI-MSI has already been a method used in the study of macromolecules as structural, membrane, hormone, neuromediator and immunological peptides. Through a full matrix scan, with a m/z spectrum between 500-1000 for lipids and with a mass spectrum of 1000-15000 Da for proteins, the molecular profiles can be analyzed generating 2D chemical pixel-type images. The produced image allows to associate the distribution of the lipids and proteins in the tissues with their chemical profile identified, allowing the verification of the changes radioinduced. Radiation triggers intense oxidative stress by increasing reactive oxygen species (ROS) and free radicals, causing DNA-damage consequently with alterations in proteomics including cellular lipid and protein expressions. The cellular morphophysiological changes are responsible for both the clonogenic inhibition and the induction of the apoptotic process. The images´s production was directly dependent on the rigorous execution of the methodological procedures. Innumerable interferences could impair the image´s generations and protein and lipid analysis. The main interferences in the present MS methodology were addressed and discussed. Following a well-established methodology, DESI can generate lipid and MALDI protein spectra in brain tissues. Near future, it will be possible to detect changes of the spatial distribution and the types of lipids and proteins in the white and gray matter regions. |
| format | Article |
| id | doaj-art-ebe1c27e2ed44088a1d4272200c9b704 |
| institution | Kabale University |
| issn | 2319-0612 |
| language | English |
| publishDate | 2019-02-01 |
| publisher | Brazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR) |
| record_format | Article |
| series | Brazilian Journal of Radiation Sciences |
| spelling | doaj-art-ebe1c27e2ed44088a1d4272200c9b7042025-08-20T03:27:36ZengBrazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR)Brazilian Journal of Radiation Sciences2319-06122019-02-0172A (Suppl.)10.15392/bjrs.v7i2A.581442METODOLOGICAL ISSUES IN PROTEIN AND LIPIDIC EXPRESSIONS IN BRAIN TISSUE EXPOSED TO Co60 BASED ON DESI/MALDI-MSIMatheus Figueiredo Soares Mingote0UFMGThe present paper attempts to present important issues in the methodology of identifying lipid and protein changes in brain tissue induced by radiation. The goal was to address the analysis of the methodology and to investigate the feasibility of the generation of lipid/protein profiles of irradiated brain tissue; disregarding the results of the analyses. Lipids and proteins are biomolecules with diverse structures and functionalities that participate in important intracellular processes. Changes in the lipid and the tissue protein profiles may indicate a cellular response to an external stimulus as well as the emergence of neoplasms or neurodegenerative diseases such as Alzheimer's. DESI-MSI is a convenient method for identifying lipids and their spatial distribution in tissue beyond analytical quantification. DESI-MS allows the creation of an image of several low lipid m/z classes. MALDI-MSI has already been a method used in the study of macromolecules as structural, membrane, hormone, neuromediator and immunological peptides. Through a full matrix scan, with a m/z spectrum between 500-1000 for lipids and with a mass spectrum of 1000-15000 Da for proteins, the molecular profiles can be analyzed generating 2D chemical pixel-type images. The produced image allows to associate the distribution of the lipids and proteins in the tissues with their chemical profile identified, allowing the verification of the changes radioinduced. Radiation triggers intense oxidative stress by increasing reactive oxygen species (ROS) and free radicals, causing DNA-damage consequently with alterations in proteomics including cellular lipid and protein expressions. The cellular morphophysiological changes are responsible for both the clonogenic inhibition and the induction of the apoptotic process. The images´s production was directly dependent on the rigorous execution of the methodological procedures. Innumerable interferences could impair the image´s generations and protein and lipid analysis. The main interferences in the present MS methodology were addressed and discussed. Following a well-established methodology, DESI can generate lipid and MALDI protein spectra in brain tissues. Near future, it will be possible to detect changes of the spatial distribution and the types of lipids and proteins in the white and gray matter regions.https://bjrs.org.br/revista/index.php/REVISTA/article/view/581ionization desorption (desi)matrix assisted laser desorption ionization (maldi)mass spectrometryradiation ef-fectslipidsγ-radiationionizing radiationmetabolomicslipidomicsproteomics. |
| spellingShingle | Matheus Figueiredo Soares Mingote METODOLOGICAL ISSUES IN PROTEIN AND LIPIDIC EXPRESSIONS IN BRAIN TISSUE EXPOSED TO Co60 BASED ON DESI/MALDI-MSI Brazilian Journal of Radiation Sciences ionization desorption (desi) matrix assisted laser desorption ionization (maldi) mass spectrometry radiation ef-fects lipids γ-radiation ionizing radiation metabolomics lipidomics proteomics. |
| title | METODOLOGICAL ISSUES IN PROTEIN AND LIPIDIC EXPRESSIONS IN BRAIN TISSUE EXPOSED TO Co60 BASED ON DESI/MALDI-MSI |
| title_full | METODOLOGICAL ISSUES IN PROTEIN AND LIPIDIC EXPRESSIONS IN BRAIN TISSUE EXPOSED TO Co60 BASED ON DESI/MALDI-MSI |
| title_fullStr | METODOLOGICAL ISSUES IN PROTEIN AND LIPIDIC EXPRESSIONS IN BRAIN TISSUE EXPOSED TO Co60 BASED ON DESI/MALDI-MSI |
| title_full_unstemmed | METODOLOGICAL ISSUES IN PROTEIN AND LIPIDIC EXPRESSIONS IN BRAIN TISSUE EXPOSED TO Co60 BASED ON DESI/MALDI-MSI |
| title_short | METODOLOGICAL ISSUES IN PROTEIN AND LIPIDIC EXPRESSIONS IN BRAIN TISSUE EXPOSED TO Co60 BASED ON DESI/MALDI-MSI |
| title_sort | metodological issues in protein and lipidic expressions in brain tissue exposed to co60 based on desi maldi msi |
| topic | ionization desorption (desi) matrix assisted laser desorption ionization (maldi) mass spectrometry radiation ef-fects lipids γ-radiation ionizing radiation metabolomics lipidomics proteomics. |
| url | https://bjrs.org.br/revista/index.php/REVISTA/article/view/581 |
| work_keys_str_mv | AT matheusfigueiredosoaresmingote metodologicalissuesinproteinandlipidicexpressionsinbraintissueexposedtoco60basedondesimaldimsi |