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Human Serum Autoantigen Biomarker Resource
version 1.0  
About AAgMarker 1.0

Human Serum Autoantigen Biomarker Resource (AAgMarker 1.0) is a free database that provides information of non-invasive serum autoantigen biomarker candidates identified from high-throughput autoantibody profiling projects. For basic search, autoantigen biomarkers are those desregulated autoantigens which could distinguish patients with diseases from healthy controls (AUC≥0.6, P value≤0.05) and be easily detected with high signaling rate (≥10%) in either group; Sensitivity, specificity and discriminative ability are also introduced to quantitatively evaluate the performance of biomarkers (HELP page). In addition, users can also customize the parameters through Advanced Search for query of their defined autoantigen biomarkers. Currently, the AAgMarker 1.0 contains 12 diseases, 136,092 protein profiles, 854 samples, and 7,803 (4,470 non-redundant) biomarkers.

Potential Applications
>Serum autoantigen biomarker discovery for non-invasive clinical diagnosis and prognosis of various diseases.
>Autoantigen identification for protein annoation.
>Exploring immunological mechanisms of diseases.

To cite: Jianbo Pan, Sheng Liu, Heng Zhu, Jiang Qian; AAgMarker 1.0: a resource of serological autoantigen biomarkers for clinical diagnosis and prognosis of various human diseases, Nucleic Acids Research, 2017, gkx770, https://doi.org/10.1093/nar/gkx770 [Full text][PubMed]

   

Step1:

Input a keyword for definite proteins or

Step2: Select a disease term

 

 

keep blank for disease searching
Tips: Multiple keywords and wildcard characters like "*, +, ?" are not supported.  
   
To customize your search

Advanced Search

If you have any information of datasets which could be merged into AAgMarker, welcome to contact us.
Useful Links

GEO- a gene expression/molecular abundance repository supporting MIAME compliant data submissions.

ArrayExpress- a public archive of Functional Genomics/Proteomics Data from high-throughput experiments.

AAgAtlas 1.0- a human autoantigen database constructed using text-mining and manual curation.

PMD- a Protein Microarray Database for archiving and analyzing protein microarray data.

 
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