Difference between revisions of "CeRNA Query"

Line 1: Line 1:
This component provides query access to a precomputed database of competitive endogenous RNA  (ceRNA) interactions, also called "sponge" interactions.  These interactions were predicted using the Hermes algorithm (Sumazin et al., 2011) with subsequent improvements (submitted).  Hermes is used to predict the intersection set of miRNAs which bind to both of two different RNAs.  Variation in the level of one of the RNA species may affect the level of the second RNA via its effects on the availability of the various miRNAs, providing a regulatory mechanism for gene expression.
+
This component provides query access to a precomputed database of competitive endogenous RNA  (ceRNA) interactions, also called "sponge" interactions.  These interactions underlie a post-transcriptional layer of regulation, and were predicted using the Hermes algorithm (Sumazin et al., 2011) with subsequent improvements (submitted).   
  
The interactions were computed based on TCGA expression data sets.
+
Datasets for Glioblastoma (GBM), Ovarian (OV), Breast (BRCA), and Prostate (PRAD) cancer are currently available.  Each is calculated by analyzing gene expression profiles in combination with matched microRNA (miR) profiles obtained from the TCGA. 
 +
 
 +
Hermes predicts the intersection set (program) of miRNAs which bind to both of two different RNAs.  Variation in the level of one of the RNA species may affect the level of the second RNA via its effects on the availability of the various miRNAs.
  
Datasets are available for Glioblastoma (GBM), Ovarian (OV), Breast (BRCA), and Prostate (PRAD) cancer datasets.
 
  
  

Revision as of 15:51, 2 August 2013

This component provides query access to a precomputed database of competitive endogenous RNA (ceRNA) interactions, also called "sponge" interactions. These interactions underlie a post-transcriptional layer of regulation, and were predicted using the Hermes algorithm (Sumazin et al., 2011) with subsequent improvements (submitted).

Datasets for Glioblastoma (GBM), Ovarian (OV), Breast (BRCA), and Prostate (PRAD) cancer are currently available. Each is calculated by analyzing gene expression profiles in combination with matched microRNA (miR) profiles obtained from the TCGA.

Hermes predicts the intersection set (program) of miRNAs which bind to both of two different RNAs. Variation in the level of one of the RNA species may affect the level of the second RNA via its effects on the availability of the various miRNAs.


Hermes ceRNA Query Interface.png


Hermes ceRNA Query Result STAT3.png


Hermes ceRNA Query Result mir-519d.png


Sumazin P, Yang X, Chiu HS, Chung WJ, Iyer A, Llobet-Navas D, Rajbhandari P, Bansal M, Guarnieri P, Silva J, Califano A. (2011) An extensive microRNA-mediated network of RNA-RNA interactions regulates established oncogenic pathways in glioblastoma. Cell 147(2):370-81. doi: 10.1016/j.cell.2011.09.041.