Tumor and adjacent normal tissue

NIAID Data Ecosystem2026-03-10 收录

乳腺癌蛋白质组学

肿瘤-正常组织对比

数据链接：

https://www.omicsdi.org/dataset/jpost/PXD011385 数据链接链接失效反馈

官方服务：

资源简介：

Proteome characterization of 5 breast tumors and adjacent normal tissue using HiRIEF nanoLC-MS/MS.

创建时间：

2019-02-04

Identification of differently expressed proteins in breast cancer progression

乳腺癌蛋白质组学

免疫接种策略

In this study, we identified a threshold for “danger discrimination” in macrophages after sensing specific changes in protein expression at the surface of cells with an advanced premalignant phenotype

NIAID Data Ecosystem80

Functional Proteomics Approach to Investigate the Biological Activities of cDNAs Implicated in Breast Cancer

乳腺癌蛋白质组学

DNA功能筛选

Functional proteomics approaches that comprehensively evaluate the biological activities of human cDNAs may provide novel insights into disease pathogenesis. To systematically investigate the function

NIAID Data Ecosystem50

Supplementary Table S1 from Combined Label-Free Quantitative Proteomics and microRNA Expression Analysis of Breast Cancer Unravel Molecular Differences with Clinical Implications

乳腺癌蛋白质组学

生物标志物发现

Supplementary Table S1. MaxQuant proteinGroups info and LFQ data for each sample.

Figshare2015-06-01 更新40

Additional file 8 of PIGNON: a protein–protein interaction-guided functional enrichment analysis for quantitative proteomics

蛋白质功能富集分析

乳腺癌蛋白质组学

Additional file 8: Table S6. PIGNON results on HER2+/HR+ expression-weighted BioGRID network with weighted sampling

NIAID Data Ecosystem80

Supplementary Table S2 from Serine Biosynthesis Is a Metabolic Vulnerability in IDH2-Driven Breast Cancer Progression