AJCC2202 - CME/CMLE - Tandem Mass Spectrometry-Based Amyloid Typing using Manual Microdissection and Open-Source Data Processing-Tandem Mass Spectrometry-Based Amyloid Typing using Manual Microdissection and Open-Source Data Processing

Tandem Mass Spectrometry-Based Amyloid Typing using Manual Microdissection and Open-Source Data Processing

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The study discusses a method using manual microdissection and open-source data processing for typing amyloid deposits accurately through tandem mass spectrometry without the need for laser microdissection. This approach aims to make amyloid typing more accessible by simplifying tissue sampling and data processing. The researchers validated their method using manual sampling and developed a Crux Pipeline for data processing. They were able to differentiate various types of amyloidosis with high specificity by measuring specific amyloidogenic proteins or their ratios. The study emphasizes the importance of correctly identifying the type of amyloidosis, as treatment often targets the underlying disorder producing the amyloidogenic proteins.<br /><br />By leveraging manual sampling and the Crux Pipeline, the study demonstrates that mass spectrometry-based amyloid typing can be achieved without the technical challenges associated with laser microdissection. The method was validated using a training set with several unique cases of different amyloid types and subsequently tested on additional samples, ensuring accurate typing. The study highlights the potential for broader applications of this approach in solid tissue proteomics and the importance of refining methods to assess the adequacy of amyloid sampling. It also emphasizes the significance of validation and ongoing improvement to accommodate various amyloid types and clinical settings.<br /><br />In conclusion, the study presents a robust and accessible method for amyloid typing using tandem mass spectrometry and manual microdissection. The approach offers a practical and efficient means to accurately categorize amyloid deposits in various tissues without the need for advanced instrumentation. The incorporation of open-source data processing tools like the Crux Pipeline enhances the feasibility of implementing such assays in clinical laboratories, paving the way for improved diagnosis and treatment of amyloidosis.

Keywords

amyloid typing

manual microdissection

tandem mass spectrometry

Crux Pipeline

amyloidosis

amyloidogenic proteins

solid tissue proteomics

mass spectrometry-based typing

open-source data processing

clinical laboratories