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Information S1 - SILAC-Based Quantitative Proteomic Analysis of Human Lung Cell Response to Copper Oxide Nanoparticles

NIAID Data Ecosystem2026-03-09 收录

纳米颗粒毒性

定量蛋白质组学

数据链接：

https://figshare.com/articles/dataset/_SILAC_Based_Quantitative_Proteomic_Analysis_of_Human_Lung_Cell_Response_to_Copper_Oxide_Nanoparticles_/1324143 数据链接链接失效反馈

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Supporting Tables S1-S4. (XLSX)

应用场景：

创建时间：

2014-12-03

核糖体亚基重排

定量蛋白质组学

In a previous study we applied a quantitative proximity-labeling technique called Biotin Identification (BioID, Roux et al., 2012) to analyze the microenvironment of the Gβ-like scaffold protein Asc1

NIAID Data Ecosystem40

Data-Independent Acquisition-Based Quantitative Proteomics for Pairwise Comparison of Serum and Plasma

定量蛋白质组学

生物标志物发现

Human blood contains proteins secreted by various organs, but there is no consensus on whether serum or plasma is preferable for proteome studies. Mass spectrometry employing data-independent acquisit

Figshare2025-05-22 更新20

AAV production system proteomics

病毒载体开发

定量蛋白质组学

We performed absolute quantification (AQUA) of viral proteins by targeted quantitative proteomics and conducted tandem mass tag (TMT)-based proteomics on the three rAAV and wtAAV production systems to

NIAID Data Ecosystem10

Metabolic Labeling of Human Bone Marrow Mesenchymal Stem Cells for the Quantitative Analysis of their Chondrogenic Differentiation

干细胞软骨分化

定量蛋白质组学

Human mesenchymal stem cells (hMSCs), residing in bone marrow as well as in the synovial lining of joints, can be triggered to differentiate toward chondrocytes. Thus, hMSCs harbor great therapeutic p

NIAID Data Ecosystem30

Additional file 3 of Frag’n’Flow: automated workflow for large-scale quantitative proteomics in high performance computing environments

定量蛋白质组学

TMT标记分析

Additional file 3. Data S3. Contains the results and output files from the TMT case study. Table S3. (CSV file) provides quantified protein intensities and differential expression analysis results obt

NIAID Data Ecosystem20

Information S1 - SILAC-Based Quantitative Proteomic Analysis of Human Lung Cell Response to Copper Oxide Nanoparticles

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