@article{TEXTUAL,
      recid = {13619},
      author = {Damodharan, Sudarshawn and Shireman, Jack M. and Xie,  Elliot and Distler, Emily and Kendziorski, Christina and  Dey, Mahua},
      title = {Transcriptomic and proteomic spatial profiling of  pediatric and adult diffuse midline glioma <i>H3  K27</i>-Altered},
      journal = {Scientific Reports},
      address = {2024-09-30},
      number = {TEXTUAL},
      abstract = {Diffuse midline glioma, <i>H3 K27</i>-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<sup>™</sup> Digital Spatial Profiler platform  was used to determine the spatial transcriptomic and  proteomic landscape in a cohort of both pediatric and adult  <i>H3 K27</i>-altered DMG biopsy samples. Three  fluorescently labeled antibodies targeting immune cells  (CD45), epithelial cells (PanCK), tumor cells (<i>H3  K27M</i>) 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.},
      url = {http://knowledge.uchicago.edu/record/13619},
}