研究目的
To present the use of external and internal controls for the quality check of sample preparation and data acquisition in MALDI-MSI, particularly relevant when either many spectra are acquired during a single MALDI-MSI experiment or data from independent experiments are processed together.
研究成果
The study demonstrates that FFPE egg white can serve as a reliable external control for MALDI-MSI, providing consistent m/z signals for quality monitoring. The implementation of homogenized egg white and normalization techniques can improve signal consistency, contributing to the standardization of MALDI-MSI workflows in clinical settings.
研究不足
The study acknowledges the variance in signal intensities due to low spectra numbers, spot-to-spot variability, and the use of different egg white sections. It suggests the use of homogenized egg white to improve signal consistency.
1:Experimental Design and Method Selection
The study evaluates the use of egg white as an external control for peptide and N-glycan MALDI-MSI to monitor detector performance and sample preparation throughout the experiment. It includes the assessment of signal stability and enzyme in situ digestion efficiency by adopting a control tissue.
2:Sample Selection and Data Sources
FFPE tissue samples and egg white were used. Egg white was selected as a QC sample due to its homogeneity, availability, cost-effectiveness, and simplicity to prepare.
3:List of Experimental Equipment and Materials
MALDI-TOF/TOF mass spectrometer (Bruker Daltonics), ImagePrep station (Bruker Daltonics), iMatrixSpray, Leica RM2255 Fully Automated Rotary microtome, Epson Scanner (Model.J252A), CanoScan 5600 F (Canon) scanner.
4:Experimental Procedures and Operational Workflow
The workflow includes tissue sectioning, antigen retrieval, in situ tryptic digestion and matrix deposition, MALDI-TOF/TOF MS data acquisition, and data processing and spectral evaluation.
5:Data Analysis Methods
Data was visualized using flexImaging and SCiLS Lab. Statistical evaluation of peaks was performed using ClinProTools and SCiLS Lab. Signal intensities were compared with and without TIC normalisation.
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