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RNA-sequencing for dynamic epi-transcriptomic landscape mapping with disease progression in ER-positive breast cancer

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NIAID Data Ecosystem2026-05-01 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP323542
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资源简介:
Advanced breast cancer is characterised by enhanced tumour adaptability to therapeutic pressure and the metastatic microenvironment. Transcriptome differences in three ER positive (ER+) cell models are uncovered through this RNA-seq analysis of MCF7 (endocrine sensitive), LY2 (endocrine resistant) and T347 (derived from an ER-positive, treatment resistant brain metastatic patient tumour) cells. Overall design: We report the RNA-sequencing of three ER positive (ER+) cell models: MCF7, LY2 and T347 cells, and examine the gene expression differences.

晚期乳腺癌的典型特征为肿瘤对治疗压力及转移微环境的适应性显著提升。本研究针对MCF7(内分泌敏感型)、LY2(内分泌抵抗型)及T347(源自一名雌激素受体阳性、治疗抵抗性脑转移性患者肿瘤的细胞系)三种雌激素受体阳性(ER+)细胞模型开展RNA测序(RNA-seq),以揭示其转录组差异。实验设计:本研究对上述三种雌激素受体阳性(ER+)细胞模型进行RNA测序,并分析其基因表达差异。
创建时间:
2023-08-16
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