官方服务：
资源简介：
TCGA Cancer Proteome Study of Ovarian Tissue, iTRAQ, phospho, QExactive
应用场景：
创建时间：
2011-12-31
相关数据集
Toponome Imaging System: In Situ Protein Network Mapping in Normal and Cancerous Colon from the Same Patient Reveals More than Five-Thousand Cancer Specific Protein Clusters and Their Subcellular Annotation by Using a Three Symbol Code
In a proof of principle study, we have applied an automated fluorescence toponome imaging system (TIS) to examine whether TIS can find protein network structures, distinguishing cancerous from normal
NIAID Data Ecosystem120
Supplementary Table 5 from Targets of the Tumor Suppressor miR-200 in Regulation of the Epithelial–Mesenchymal Transition in Cancer
XLS file - 20K, Complete Gene Ontology tables for the 344SQ_mir200/344SQ_vector proteomic comparison.
NIAID Data Ecosystem60
Additional file 4 of Upregulation of ENAH by a PI3K/AKT/β-catenin cascade promotes oral cancer cell migration and growth via an ITGB5/Src axis
Supplementary material 4: Supplementary Table S3-1. List of proteins identified in iTRAQ analysis of OSCC #06 group
NIAID Data Ecosystem50
National Cancer Institute’s Proteomic Data Commons
The NCI's Proteomic Data Commons has been created to make cancer-related proteomic datasets easily accessible to the public, and to facilitate multi-omic integration in support of precision medicine t
知名数据库110
Quantitative Proteomic Analysis of Gene Regulation by miR-34a and miR-34c
microRNAs (miRNAs) repress target genes by destabilizing mRNAs and/or by inhibiting translation. The best known factor for target recognition is the so called seed – a short continuous region of Watso
Figshare2016-01-18 更新50
