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Transcriptional profiling of 2 SCCOHT PDX models and the SCCOHT cell lines BIN67 and SCCOHT1

ChEBI2015-08-28 更新2026-07-12 收录

卵巢癌转录组学

肿瘤模型分析

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-66434 数据链接链接失效反馈

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资源简介：

Transcriptional profiling of 2 SCCOHT PDX models and the SCCOHT cell lines BIN67 and SCCOHT1

应用场景：

创建时间：

2015-08-28

卵巢癌转录组学

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We have sequenced ovarian tumors in several different ways: 1) poly-A captured scRNA-seq, 2) poly-A captured pooled scRNA-seq in pools of 4 samples each 3) Bulk RNA-seq on ribo-depleted tumor chunks 4

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Long noncoding RNA and mRNA expression profile in ovarian cancer. Long noncoding RNA and mRNA expression profile in ovarian cancer

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Comparison of epithelial ovarian tissue and epithelial ovarian cancer. Overall design: Human ovarian tissue samples including 3 normal tissue samples and 6 malignant ovarian tissue samples. lncRNA and

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Paired bulk and single-cell RNA-seq on high-grade serous ovarian cancer (HGSOC) samples

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单细胞测序

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Homo sapiens Raw sequence reads. Homo sapiens

卵巢癌转录组学

差异表达mRNA分析

This study was to compare the mRNA expression patern of ovarian cancer tissues with the normal ovarian tissues.

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The whole transcriptome expression profiling comparison between the ovarian cancer spheroids and monolayer cells. Homo sapiens

卵巢癌转录组学

球形细胞基因特征

To discover the core gene expression features of ovarian cancer spheroids The compared the whole transcript expression profiling between 5 pairs of spheroids and monolayer cancer cells, including the

NIAID Data Ecosystem30

Transcriptional profiling of 2 SCCOHT PDX models and the SCCOHT cell lines BIN67 and SCCOHT1

资源简介：

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