Establishment of EGFR-inhibitor resistant triple negative breast cancer models from patient derived xenografts

NIAID Data Ecosystem2026-03-14 收录

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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE189325

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This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

创建时间：

2023-03-08

Establishment of EGFR-inhibitor resistant triple negative breast cancer models from patient derived xenografts. Establishment of EGFR-inhibitor resistant triple negative breast cancer models from patient derived xenografts

This SuperSeries is composed of the SubSeries listed below. Overall design: Refer to individual Series

NIAID Data Ecosystem10

Establishment of EGFR-inhibitor resistant triple negative breast cancer models from patient derived xenografts [Bulk RNA-seq]. Establishment of EGFR-inhibitor resistant triple negative breast cancer models from patient derived xenografts [Bulk RNA-seq]

Aim: The goals of this study were to identify transcriptomic changes that arise in basal-like breast cancer cells during the development of resistance to epidermal growth factor receptor inhibitors (E

NIAID Data Ecosystem10

Establishment of EGFR-inhibitor resistant triple negative breast cancer models from patient derived xenografts [scRNA-seq]

NIAID Data Ecosystem10

Establishment of EGFR-inhibitor resistant triple negative breast cancer models from patient derived xenografts [scRNA-seq]. Establishment of EGFR-inhibitor resistant triple negative breast cancer models from patient derived xenografts [scRNA-seq]

NIAID Data Ecosystem10

Establishment of EGFR-inhibitor resistant triple negative breast cancer models from patient derived xenografts [scRNA-seq]

NIAID Data Ecosystem30