Spatial Proteomics for the Molecular Characterization of Breast Cancer
Breast cancer (BC) is a major global health issue, affecting a significant proportion of the female population and contributing to high rates of mortality. One of the primary challenges in the treatment of BC is the disease’s heterogeneity, which can lead to ineffective therapies and poor patient ou...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Proteomes |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7382/11/2/17 |
| _version_ | 1827735902122672128 |
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| author | Klára Brožová Brigitte Hantusch Lukas Kenner Klaus Kratochwill |
| author_facet | Klára Brožová Brigitte Hantusch Lukas Kenner Klaus Kratochwill |
| author_sort | Klára Brožová |
| collection | DOAJ |
| description | Breast cancer (BC) is a major global health issue, affecting a significant proportion of the female population and contributing to high rates of mortality. One of the primary challenges in the treatment of BC is the disease’s heterogeneity, which can lead to ineffective therapies and poor patient outcomes. Spatial proteomics, which involves the study of protein localization within cells, offers a promising approach for understanding the biological processes that contribute to cellular heterogeneity within BC tissue. To fully leverage the potential of spatial proteomics, it is critical to identify early diagnostic biomarkers and therapeutic targets, and to understand protein expression levels and modifications. The subcellular localization of proteins is a key factor in their physiological function, making the study of subcellular localization a major challenge in cell biology. Achieving high resolution at the cellular and subcellular level is essential for obtaining an accurate spatial distribution of proteins, which in turn can enable the application of proteomics in clinical research. In this review, we present a comparison of current methods of spatial proteomics in BC, including untargeted and targeted strategies. Untargeted strategies enable the detection and analysis of proteins and peptides without a predetermined molecular focus, whereas targeted strategies allow the investigation of a predefined set of proteins or peptides of interest, overcoming the limitations associated with the stochastic nature of untargeted proteomics. By directly comparing these methods, we aim to provide insights into their strengths and limitations and their potential applications in BC research. |
| first_indexed | 2024-03-11T02:00:13Z |
| format | Article |
| id | doaj.art-a9f1fead430a4744b8e912c6c7fe6c3a |
| institution | Directory Open Access Journal |
| issn | 2227-7382 |
| language | English |
| last_indexed | 2024-03-11T02:00:13Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Proteomes |
| spelling | doaj.art-a9f1fead430a4744b8e912c6c7fe6c3a2023-11-18T12:20:04ZengMDPI AGProteomes2227-73822023-05-011121710.3390/proteomes11020017Spatial Proteomics for the Molecular Characterization of Breast CancerKlára Brožová0Brigitte Hantusch1Lukas Kenner2Klaus Kratochwill3Core Facility Proteomics, Medical University of Vienna, 1090 Vienna, AustriaDepartment of Pathology, Medical University of Vienna, 1090 Vienna, AustriaDepartment of Pathology, Medical University of Vienna, 1090 Vienna, AustriaCore Facility Proteomics, Medical University of Vienna, 1090 Vienna, AustriaBreast cancer (BC) is a major global health issue, affecting a significant proportion of the female population and contributing to high rates of mortality. One of the primary challenges in the treatment of BC is the disease’s heterogeneity, which can lead to ineffective therapies and poor patient outcomes. Spatial proteomics, which involves the study of protein localization within cells, offers a promising approach for understanding the biological processes that contribute to cellular heterogeneity within BC tissue. To fully leverage the potential of spatial proteomics, it is critical to identify early diagnostic biomarkers and therapeutic targets, and to understand protein expression levels and modifications. The subcellular localization of proteins is a key factor in their physiological function, making the study of subcellular localization a major challenge in cell biology. Achieving high resolution at the cellular and subcellular level is essential for obtaining an accurate spatial distribution of proteins, which in turn can enable the application of proteomics in clinical research. In this review, we present a comparison of current methods of spatial proteomics in BC, including untargeted and targeted strategies. Untargeted strategies enable the detection and analysis of proteins and peptides without a predetermined molecular focus, whereas targeted strategies allow the investigation of a predefined set of proteins or peptides of interest, overcoming the limitations associated with the stochastic nature of untargeted proteomics. By directly comparing these methods, we aim to provide insights into their strengths and limitations and their potential applications in BC research.https://www.mdpi.com/2227-7382/11/2/17breast cancerproteomicsMALDI imagingmass spectrometry imaging |
| spellingShingle | Klára Brožová Brigitte Hantusch Lukas Kenner Klaus Kratochwill Spatial Proteomics for the Molecular Characterization of Breast Cancer Proteomes breast cancer proteomics MALDI imaging mass spectrometry imaging |
| title | Spatial Proteomics for the Molecular Characterization of Breast Cancer |
| title_full | Spatial Proteomics for the Molecular Characterization of Breast Cancer |
| title_fullStr | Spatial Proteomics for the Molecular Characterization of Breast Cancer |
| title_full_unstemmed | Spatial Proteomics for the Molecular Characterization of Breast Cancer |
| title_short | Spatial Proteomics for the Molecular Characterization of Breast Cancer |
| title_sort | spatial proteomics for the molecular characterization of breast cancer |
| topic | breast cancer proteomics MALDI imaging mass spectrometry imaging |
| url | https://www.mdpi.com/2227-7382/11/2/17 |
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