GEO 数据集

主题由标题与摘要自动归类；样本量为数据集标注之和，SuperSeries 可能与其 SubSeries 重复计算。

• Spatial genome and transcriptome co-mapping reveals clonal heterogeneity in tumor tissue [DNA-Seq]
  GSE276212Homo sapiens; Mus musculus11 个样本2026-10-31

  Tumor heterogeneity arises from the sequential acquisition of somatic mutations and the selection of fitter clones, leading to distinct genotypes and phenotypes. Joint mapping of genome and transcriptome in the same tumor tissue can directly link clonoal relation to transcriptional state enabling a more in-depth understanding of intrinsic and extrinct tumor heterogeneity in the tissue context. Here, we introduce Spatial-GT-seq, a spatial multi-omic technology capable of genome-wide co-profiling of the genome and transcriptome at near single-cell resolution. We demonstrated in situ identification of tumor subclones in a mouse model of lung metastasis, with parallel transcriptomic profiles indicating that the gene expression profile of the same tumor clone is altered by the tumor microenvironment. Furthermore, analysis of primary and recurrent human pancreatic neuroendocrine tumors reveals both persistent and newly emerging tumor subclones, exhibiting transcriptional changes in both the original and recurrence sites. These findings highlight Spatial-GT-seq as a valuable platform for studying genotype-phenotype-microenvironment associations, providing new insights into cancer evolution and heterogeneity.

  单细胞空间转录组多组学
• Spatial genome and transcriptome co-mapping reveals clonal heterogeneity in tumor tissue [RNA-Seq]
  GSE276211Homo sapiens; Mus musculus11 个样本2026-10-31

  Tumor heterogeneity arises from the sequential acquisition of somatic mutations and the selection of fitter clones, leading to distinct genotypes and phenotypes. Joint mapping of genome and transcriptome in the same tumor tissue can directly link clonoal relation to transcriptional state enabling a more in-depth understanding of intrinsic and extrinct tumor heterogeneity in the tissue context. Here, we introduce Spatial-GT-seq, a spatial multi-omic technology capable of genome-wide co-profiling of the genome and transcriptome at near single-cell resolution. We demonstrated in situ identification of tumor subclones in a mouse model of lung metastasis, with parallel transcriptomic profiles indicating that the gene expression profile of the same tumor clone is altered by the tumor microenvironment. Furthermore, analysis of primary and recurrent human pancreatic neuroendocrine tumors reveals both persistent and newly emerging tumor subclones, exhibiting transcriptional changes in both the original and recurrence sites. These findings highlight Spatial-GT-seq as a valuable platform for studying genotype-phenotype-microenvironment associations, providing new insights into cancer evolution and heterogeneity.

  单细胞空间转录组多组学