Proteomics in pathology
Proteomic approaches are of growing importance in the biologist's toolbox. It greatly benefited from past and recent advances in sampling, chemical processing, mass spectrometry (MS) instrumentation, and data processing. MS-based analysis of proteins is now in the process of being translated in...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
2018
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| In: |
Proteomics
Year: 2018, Volume: 18, Issue: 2, Pages: 1700361 |
| ISSN: | 1615-9861 |
| DOI: | 10.1002/pmic.201700361 |
| Online Access: | Verlag, Volltext: https://doi.org/10.1002/pmic.201700361 Verlag: https://onlinelibrary.wiley.com/doi/abs/10.1002/pmic.201700361 |
| Author Notes: | Rémi Longuespée, Rita Casadonte, Kristina Schwamborn, David Reuss, Daniel Kazdal, Katharina Kriegsmann, Andreas von Deimling, Wilko Weichert, Peter Schirmacher, Jörg Kriegsmann, and Mark Kriegsmann |
| Summary: | Proteomic approaches are of growing importance in the biologist's toolbox. It greatly benefited from past and recent advances in sampling, chemical processing, mass spectrometry (MS) instrumentation, and data processing. MS-based analysis of proteins is now in the process of being translated in pathology for objective diagnoses. In this viewpoint, we present the workflows that we think are the most promising for applications in pathology. We also comment what we think are prerequisites for a successful translational implementation. |
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| Item Description: | Gesehen am 02.03.2020 First published: 13 December 2017 |
| Physical Description: | Online Resource |
| ISSN: | 1615-9861 |
| DOI: | 10.1002/pmic.201700361 |