Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

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2.2K Views

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09:17 min

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September 13th, 2022

DOI :

10.3791/63620-v

September 13th, 2022

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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

Podsumowanie

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Digital Spatial Profiling

DSP

Protein Quantification

Tumor Microenvironment

Multiplexing Capability

Regional Target Variability

Antibody PC Oligo Solution

Spatial Data Analysis

Oncology Research

Rozdziały w tym wideo

0:04

Introduction

1:08

Preparation of Slides and Semi‐Automated IHC System

2:50

Antibody Incubation and Nuclei Staining

3:39

Fluorescence Visualization, ROI Identification, and UV Photocleavage

5:17

Protein Readout and Data Analysis

7:51

Results: Digital Spatial Profiling on Glioblastoma Samples

8:47

Conclusion

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