Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

DOI :

10.3791/64171-v

•

13:01 min

•

June 3rd, 2022

•

2,900 Views

Dave Mitchell^1,2*, Allison L. Hunt^1,4*, Kelly A. Conrads^1,2, Brian L. Hood^1,2, Sasha C. Makohon-Moore^1,2, Christine Rojas¹, G. Larry Maxwell^1,3,4, Nicholas W. Bateman^1,2,3, Thomas P. Conrads^1,3,4

¹Women’s Health Integrated Research Center, Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, ²The Henry M. Jackson Foundation for the Advancement of Military Medicine, ³The John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University, ⁴Women’s Health Integrated Research Center, Inova Women’s Service Line, Inova Health System

Chapters

This protocol describes a high-throughput workflow for artificial intelligence-driven segmentation of pathology-confirmed regions of interest from stained, thin tissue section images for enrichment of histology-resolved cell populations using laser microdissection. This strategy includes a novel algorithm enabling the transfer of demarcations denoting cell populations of interest directly to laser microscopes.

Related Videos

A Mimic of the Tumor Microenvironment: A Simple Method for Generating Enriched Cell Populations and Investigating Intercellular Communication

Simple and Rapid Method to Obtain High-quality Tumor DNA from Clinical-pathological Specimens Using Touch Imprint Cytology

Digital Polymerase Chain Reaction Assay for the Genetic Variation in a Sporadic Familial Adenomatous Polyposis Patient Using the Chip-in-a-tube Format

Measuring Bone Remodeling and Recreating the Tumor-Bone Microenvironment Using Calvaria Co-culture and Histomorphometry

Assessing Tumor Microenvironment of Metastasis Doorway-Mediated Vascular Permeability Associated with Cancer Cell Dissemination using Intravital Imaging and Fixed Tissue Analysis

Analysis of Side Population in Solid Tumor Cell Lines

Isolation of Proximal Fluids to Investigate the Tumor Microenvironment of Pancreatic Adenocarcinoma

Generation of Zebrafish Larval Xenografts and Tumor Behavior Analysis

A Label-Free Segmentation Approach for Intravital Imaging of Mammary Tumor Microenvironment

Expanding the Comprehension of the Tumor Microenvironment using Mass Spectrometry Imaging of Formalin-Fixed and Paraffin-Embedded Tissue Samples