Proteomic analysis results.

NIAID Data Ecosystem2026-03-08 收录

癌蛋白质组学

差异表达蛋白质分析

数据链接：

https://figshare.com/articles/dataset/_Proteomic_analysis_results_/1410409 数据链接链接失效反馈

官方服务：

资源简介：

Proteins with different expression between lung adenocarcinoma and non-neoplastic pleural effusions. Proteomic analysis results.

创建时间：

2015-05-11

癌蛋白质组学

一碳代谢重塑

Primary liver cancer (HCC) is recognized as the fifth most common neoplasm and the second leading cause of cancer death worldwide. Most risk factors are known, and the molecular pathogenesis has been

NIAID Data Ecosystem100

Summary of the proteins identified as differently expressed using the proteomics approach.

差异表达蛋白质分析

蛋白质组学数据解析

aThe p-value associated with fold-change calculated using a Student’s t-test. bThe fold-change in spot density from three groups of matching: Rel vs Ctr; Rem vs Ctr; Rel vs Rem. The arrow indicates th

NIAID Data Ecosystem70

Differentially expressed proteins and statistical analysis identified by data-independent acquisition (DIA) proteomics.

蛋白质组学分析

差异表达蛋白质分析

Differentially expressed proteins and statistical analysis identified by data-independent acquisition (DIA) proteomics.

Figshare2025-05-27 更新20

List of 16 proteins which were more abundant than EgDGAT1-1 and whose expression increased at least two-fold in the EgDGAT1-1 expressing strain compared to the control strain.

差异表达蛋白质分析

蛋白质组学

*P<0.05; **P<0.01 List of 16 proteins which were more abundant than EgDGAT1-1 and whose expression increased at least two-fold in the EgDGAT1-1 expressing strain compared to the control strain.

NIAID Data Ecosystem90

Differentially expressed proteins in three paired bladder cancer and paracancerous tissues detected by Q Exactive UPLC-MS/MS.

蛋白质组学

差异表达蛋白质分析

A total of 165 proteins were 1.5-fold differentially expressed (P < 0.05), of which 146 proteins were down-regulated, and 19 proteins were up-regulated (FDR < 0.05). (XLS)

NIAID Data Ecosystem40

Proteomic analysis results.

资源简介：

相关数据集