Book/Journal Article

DKFZ-2026-02549

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Spatial Transcriptomics Analysis of Ewing Sarcoma.

Luo, H. (First author)DKFZ* ; Grünewald, T. G. P.DKFZ* ; Gerstung, M. (Last author)DKFZ*

2027
Humana Press Totowa, NJ
ISBN: 978-1-0716-5586-3 (print), 978-1-0716-5587-0 (electronic)

Abstract: Spatial transcriptomics is a collection of methods to quantify gene expression in situ. In cancer research, these technologies offer researchers new avenues for studying intra-tumoral heterogeneity and interactions between tumor cells and their tumor microenvironment (TME) in a spatially resolved fashion. In Ewing sarcoma research, a few pioneering spatial transcriptomics studies have begun to characterize the spatial landscape of tumors in unprecedented detail. In this chapter, we provide a series of tutorials on tissue selection, sample preparation, panel design and analysis pipeline for Ewing sarcoma spatial transcriptomic data.

Keyword(s): Humans (MeSH) ; Sarcoma, Ewing: genetics (MeSH) ; Sarcoma, Ewing: pathology (MeSH) ; Spatial Transcriptomics (MeSH) ; Tumor Microenvironment: genetics (MeSH) ; Gene Expression Profiling: methods (MeSH) ; Bone Neoplasms: genetics (MeSH) ; Bone Neoplasms: pathology (MeSH) ; Gene Expression Regulation, Neoplastic (MeSH) ; Transcriptome (MeSH) ; Cell plasticity ; Ewing sarcoma ; Intra-tumor heterogeneity ; Neighborhood analysis ; Spatial transcriptomics ; Tumor microenvironment

Note: #EA:B450#LA:B450#

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Contributing Institute(s):

1. Künstl. Intelligenz in der Onkologie (B450)
2. Translationale Pädiatrische Sarkomforschung (B410)

Research Program(s):

1. 312 - Funktionelle und strukturelle Genomforschung (POF4-312) (POF4-312)

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Database coverage:
; SCOPUS

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