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Integrative analysis of non-small cell lung cancer patient-derived xenografts identifies unique proteotypes associated with patient outcomes

NIAID Data Ecosystem2026-03-13 收录

非小细胞肺癌蛋白质组学

患者预后标志物识别

数据链接：

https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE166999 数据链接链接失效反馈

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资源简介：

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

应用场景：

创建时间：

2022-06-02

非小细胞肺癌蛋白质组学

药物作用机制

Proteomic analysis of protein abundance after dEALK1 or dEALK1Me treatment in H3122 cells non-small cell lung cancer cells

integrated proteome resources40

YTHDF1 links hypoxia adaptation and non-small cell lung cancer progression

非小细胞肺癌蛋白质组学

缺氧适应机制

10plex TMT labelling quantification expriments were performed to access the knockdown effect of YTHDF1 in cells.3 shGFPs control samples, 3 YTHDF1 shRNA-2 knockdown samples , 3 YTHDF1 shRNA-3 knockdow

NIAID Data Ecosystem30

Multi-omics profiling of non-small cell lung cancer patient-derived xenografts reveals proteome and phosphoproteome remodeling associated with patient outcome

非小细胞肺癌蛋白质组学

癌症精准治疗

131 patient-derived xenograft models were generated for non-small cell lung carcinoma and were profiled by analysis of gene copy number variation, whole exome sequence, methylome, transcriptome, prote

NIAID Data Ecosystem20

Comparative proteome analysis across non-small cell lung cancer cell lines

非小细胞肺癌蛋白质组学

KRAS突变分析

Non-small cell lung cancer (NSCLC) cell lines are widely used model systems to study molecular aspects of lung cancer. Comparative and in-depth proteome expression data across many NSCLC cell lines ha

NIAID Data Ecosystem40

Human NSCLC DIA proteomics validation cohort 2

非小细胞肺癌蛋白质组学

癌症精准医疗

In this project, one NSCLC cohorts were analyzed by Data Independent Acquisition (DIA-MS). A cohort of early stage NSCLC samples (207) with the aim to demonstrate utility of MS for subtyping and treat

NIAID Data Ecosystem20

Integrative analysis of non-small cell lung cancer patient-derived xenografts identifies unique proteotypes associated with patient outcomes

资源简介：

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