Integrated single-cell whole genome sequencing and spatial transcriptomics reveal latent intra-tumoral heterogeneity in ovarian cancer.
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| Title: | Integrated single-cell whole genome sequencing and spatial transcriptomics reveal latent intra-tumoral heterogeneity in ovarian cancer. |
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| Authors: | Bassiouni R; Department of Integrative Translational Sciences, Beckman Research Institute, City of Hope; Duarte, CA., Jin Y; Department of Integrative Translational Sciences, Beckman Research Institute, City of Hope; Duarte, CA., Gibbs LD; Department of Translational Genomics, Keck School of Medicine, University of Southern California; Los Angeles, CA., Qian J; Department of Translational Genomics, Keck School of Medicine, University of Southern California; Los Angeles, CA., Rotimi SO; Department of Translational Genomics, Keck School of Medicine, University of Southern California; Los Angeles, CA., Miller H; Department of Translational Genomics, Keck School of Medicine, University of Southern California; Los Angeles, CA., Webb MG; Department of Translational Genomics, Keck School of Medicine, University of Southern California; Los Angeles, CA., Rajpara S; Department of Translational Genomics, Keck School of Medicine, University of Southern California; Los Angeles, CA., Arias-Stella J 3rd; Department of Pathology, City of Hope Comprehensive Cancer Center; Duarte, CA., Craig DW; Department of Integrative Translational Sciences, Beckman Research Institute, City of Hope; Duarte, CA., Roman L; Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California; Los Angeles, CA., Carpten JD; Department of Integrative Translational Sciences, Beckman Research Institute, City of Hope; Duarte, CA. |
| Source: | BioRxiv : the preprint server for biology [bioRxiv] 2025 Oct 09. Date of Electronic Publication: 2025 Oct 09. |
| Publication Type: | Journal Article; Preprint |
| Journal Info: | Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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