Published September 30, 2024 | Version v1
Journal article Open

Transcriptomic and proteomic spatial profiling of pediatric and adult diffuse midline glioma H3 K27-Altered

  • 1. University of Chicago
  • 2. University of Wisconsin

Description

Diffuse midline glioma, H3 K27-altered (DMG) are highly aggressive malignancies of the central nervous system (CNS) that primarily affect the pediatric population. Large scale spatial transcriptomic studies have implicated that tumor microenvironmental landscape plays an important role in determining the phenotypic differences in tumor presentation and clinical course, however, data connecting overall transcriptomic changes to the protein level is lacking. The NanoString GeoMx Digital Spatial Profiler platform was used to determine the spatial transcriptomic and proteomic landscape in a cohort of both pediatric and adult H3 K27-altered DMG biopsy samples. Three fluorescently labeled antibodies targeting immune cells (CD45), epithelial cells (PanCK), tumor cells (H3 K27M) and a nucleic acid stain (SYTO-13) were used to establish regions of interest (ROI) for genomic and proteomic analysis. We found genetic alterations within the tumor which can be delineated across patient age and spatial location. We show that the H3 K27M mutation itself has a profound impact on tumor cells transcriptomics and interestingly we found limited fidelity between overall transcriptome and proteome. Our data also validate a previously described genomic signature at the proteomic level and reveal a special shift in the signature based on the local TME composition.

Data availability

All sequence data collected and analyzed for the manuscript will be deposited into a GEO repository to be released publicly upon acceptance and publication of the article. Any valid requests for additional data will be honored and should be directed to the corresponding author.

Files

Transcriptomic-and-proteomic-spatial-profiling-of-pediatric-and-adult-diffuse-midline-glioma-H3-K27-Altered.pdf

Additional details

Identifiers

DOI
10.1038/s41598-024-73199-w
Other
oai:uchicago.tind.io:13619

Funding

National Institutes of Health
K08NS092895
NINDS
T32 NS105602

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Pediatrics