{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["16"],"submitter":["Zhang N"],"pubmed_abstract":["<h4>Background</h4>Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer characterized by a lack of hormone receptors, making it challenging to treat.<h4>Methods</h4>We generated a comprehensive spatial cell atlas of TNBC using a multi-omics integration approach that combined single-cell RNA sequencing (scRNA-seq) with spatial transcriptomics. This integration allowed us to characterize the spatial microenvironment and map the cell-type-specific distributions in TNBC tissues.<h4>Results</h4>Our analysis revealed significant heterogeneity in cell types and spatial distribution, with normal regions enriched in insulin resistance functions, whereas cancerous regions displayed diverse cell populations, including immune cells, cancer-associated fibroblasts (CAFs), and m"],"journal":["Frontiers in genetics"],"pagination":["1614254"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12440963"],"repository":["biostudies-literature"],"pubmed_title":["Multi-omics integration uncovers key transcriptional regulators in triple-negative breast cancer spatial heterogeneity."],"pmcid":["PMC12440963"],"pubmed_authors":["Yang LY","Zhang Y","Zhang N","Chu HQ","Li YY","Yang RF","Rehman A","Zhou X","Gong SP","Cao HL"],"additional_accession":[]},"is_claimable":false,"name":"Multi-omics integration uncovers key transcriptional regulators in triple-negative breast cancer spatial heterogeneity.","description":"<h4>Background</h4>Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer characterized by a lack of hormone receptors, making it challenging to treat.<h4>Methods</h4>We generated a comprehensive spatial cell atlas of TNBC using a multi-omics integration approach that combined single-cell RNA sequencing (scRNA-seq) with spatial transcriptomics. This integration allowed us to characterize the spatial microenvironment and map the cell-type-specific distributions in TNBC tissues.<h4>Results</h4>Our analysis revealed significant heterogeneity in cell types and spatial distribution, with normal regions enriched in insulin resistance functions, whereas cancerous regions displayed diverse cell populations, including immune cells, cancer-associated fibroblasts (CAFs), and m","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025","modification":"2026-06-03T12:06:47.604Z","creation":"2026-04-27T03:11:31.424Z"},"accession":"S-EPMC12440963","cross_references":{"pubmed":["40969325"],"doi":["10.3389/fgene.2025.1614254"]}}