{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["14"],"submitter":["Liu Y"],"pubmed_abstract":["<h4>Background</h4>The dynamics of single-nucleotide variants (SNVs) play a critical role in understanding tumor development, yet their influence on shaping tumor microenvironments remains largely unexplored. Spatial transcriptomics offers an opportunity to map SNVs within the tumor context, potentially uncovering new insights into tumor microenvironment dynamics.<h4>Results</h4>This study developed SpatialSNV for identifying effective SNVs across tumor sections using multiple spatial transcriptomics platforms. The analysis revealed that SNVs reflect regional tumor evolutionary traces and extend beyond RNA expression changes. The tumor margins exhibited a distinct mutational profile, with novel SNVs diminishing in a distance-dependent manner from the tumor boundary. These mutations were si"],"journal":["GigaScience"],"pagination":["giaf065"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12166308"],"repository":["biostudies-literature"],"pubmed_title":["SpatialSNV: A novel method for identifying and analyzing spatially resolved SNVs in tumor microenvironments."],"pmcid":["PMC12166308"],"pubmed_authors":["Liu Y","Li X","Li Y","Guan X","Dong X","Feng Y","Zhu F","Hou Y"],"additional_accession":[]},"is_claimable":false,"name":"SpatialSNV: A novel method for identifying and analyzing spatially resolved SNVs in tumor microenvironments.","description":"<h4>Background</h4>The dynamics of single-nucleotide variants (SNVs) play a critical role in understanding tumor development, yet their influence on shaping tumor microenvironments remains largely unexplored. Spatial transcriptomics offers an opportunity to map SNVs within the tumor context, potentially uncovering new insights into tumor microenvironment dynamics.<h4>Results</h4>This study developed SpatialSNV for identifying effective SNVs across tumor sections using multiple spatial transcriptomics platforms. The analysis revealed that SNVs reflect regional tumor evolutionary traces and extend beyond RNA expression changes. The tumor margins exhibited a distinct mutational profile, with novel SNVs diminishing in a distance-dependent manner from the tumor boundary. These mutations were si","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jan","modification":"2026-06-03T07:02:04.302Z","creation":"2026-04-25T03:21:46.438Z"},"accession":"S-EPMC12166308","cross_references":{"pubmed":["40515555"],"doi":["10.1093/gigascience/giaf065"]}}