{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Damodharan S"],"funding":["National Institute of Neurological Disorders and Stroke","NINDS NIH HHS","National Institute of General Medical Sciences","NIGMS NIH HHS"],"pagination":["22668"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11443003"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["14(1)"],"pubmed_abstract":["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<sup>™</sup> 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 "],"journal":["Scientific reports"],"pubmed_title":["Transcriptomic and proteomic spatial profiling of pediatric and adult diffuse midline glioma H3 K27-Altered."],"pmcid":["PMC11443003"],"funding_grant_id":["K08NS092895","K08 NS092895","R01 GM102756","T32 NS105602"],"pubmed_authors":["Xie E","Distler E","Shireman JM","Damodharan S","Dey M","Kendziorski C"],"additional_accession":[]},"is_claimable":false,"name":"Transcriptomic and proteomic spatial profiling of pediatric and adult diffuse midline glioma H3 K27-Altered.","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<sup>™</sup> 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 ","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Sep","modification":"2026-06-15T06:16:53.933Z","creation":"2025-04-04T23:44:09.991Z"},"accession":"S-EPMC11443003","cross_references":{"pubmed":["39349581"],"doi":["10.1038/s41598-024-73199-w"]}}