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Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma.
Karbhari, Nishika; Barney, Rachael; Palisoul, Scott; Hong, Jennifer; Lin, Chun-Chieh; Zanazzi, George.
Afiliação
  • Karbhari N; Department of Neurology, Dartmouth-Hitchcock Medical Center.
  • Barney R; Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center.
  • Palisoul S; Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center.
  • Hong J; Department of Neurosurgery, Dartmouth-Hitchcock Medical Center.
  • Lin CC; Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center.
  • Zanazzi G; Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center; Dartmouth Cancer Center, Dartmouth-Hitchcock Medical Center; George.J.Zanazzi@hitchcock.org.
J Vis Exp ; (187)2022 09 13.
Article em En | MEDLINE | ID: mdl-36190235
ABSTRACT
Diffusely infiltrating gliomas are associated with high morbidity and mortality due to the infiltrative nature of tumor spread. They are morphologically complex tumors, with a high degree of proteomic variability across both the tumor itself and its heterogenous microenvironment. The malignant potential of these tumors is enhanced by the dysregulation of proteins involved in several key pathways, including processes that maintain cellular stability and preserve the structural integrity of the microenvironment. Although there have been numerous bulk and single-cell glioma analyses, there is a relative paucity of spatial stratification of these proteomic data. Understanding differences in spatial distribution of tumorigenic factors and immune cell populations between the intrinsic tumor, invasive edge, and microenvironment offers valuable insight into the mechanisms underlying tumor proliferation and propagation. Digital spatial profiling (DSP) represents a powerful technology that can form the foundation for these important multilayer analyses. DSP is a method that efficiently quantifies protein expression within user-specified spatial regions in a tissue specimen. DSP is ideal for studying the differential expression of multiple proteins within and across regions of distinction, enabling multiple levels of quantitative and qualitative analysis. The DSP protocol is systematic and user-friendly, allowing for customized spatial analysis of proteomic data. In this experiment, tissue microarrays are constructed from archived glioblastoma core biopsies. Next, a panel of antibodies is selected, targeting proteins of interest within the sample. The antibodies, which are preconjugated to UV-photocleavable DNA oligonucleotides, are then incubated with the tissue sample overnight. Under fluorescence microscopy visualization of the antibodies, regions of interest (ROIs) within which to quantify protein expression are defined with the samples. UV light is then directed at each ROI, cleaving the DNA oligonucleotides. The oligonucleotides are microaspirated and counted within each ROI, quantifying the corresponding protein on a spatial basis.
Assuntos

Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Outros_tipos Base de dados: MEDLINE Assunto principal: Glioblastoma / Glioma Tipo de estudo: Qualitative_research Limite: Adult / Humans Idioma: En Revista: J Vis Exp Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Outros_tipos Base de dados: MEDLINE Assunto principal: Glioblastoma / Glioma Tipo de estudo: Qualitative_research Limite: Adult / Humans Idioma: En Revista: J Vis Exp Ano de publicação: 2022 Tipo de documento: Article