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DOI: 10.3791/63620-v
Nishika Karbhari1, Rachael Barney2, Scott Palisoul2, Jennifer Hong3, Chun-Chieh Lin2, George Zanazzi2,4
1Department of Neurology,Dartmouth-Hitchcock Medical Center, 2Department of Pathology and Laboratory Medicine,Dartmouth-Hitchcock Medical Center, 3Department of Neurosurgery,Dartmouth-Hitchcock Medical Center, 4Dartmouth Cancer Center,Dartmouth-Hitchcock Medical Center
Proteomic dysregulation plays an important role in the spread of diffusely infiltrating gliomas, but several relevant proteins remain unidentified. Digital spatial processing (DSP) offers an efficient, high-throughput approach for characterizing the differential expression of candidate proteins that may contribute to the invasion and migration of infiltrative gliomas.
Digital Spatial Profiling, or DSP, offers an efficient method for spatially stratified protein quantification. Its implementation enables us to characterize protein expression across distinct regions of a tumor and the microenvironment. A key feature of DSP is its multiplexing capability, enabling high throughput data processing.
The ability to define customized regions of interest additionally provides a spatial dimension to data analysis. DSP can be applied to any sample in which spatially quantifying protein, or RNA expression may help elucidate a pathologic, or physiologic process. This is especially relevant in oncology, where regional target variability may correlate with malignant growth, or invasion.
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