Utilization of Gene Network Graph Topology with Inference Relevance Analysis Delineates G Protein-coupled Receptor Pathways and CREB Targets in Small Intestinal Neuroendocrine Neoplasia Abstract #316

Introduction: Despite an increasing incidence, a paucity of biological information has led to major limitations in identification of plausible therapeutic targets for small intestinal neuroendocrine tumors (SINETs)
Aim(s): To use non-random, scale-free, highly modular genome-wide analyses to infer gene relevance networks and delineate signaling pathways in SINETs.
Materials and methods: Twelve microarray experiments (U133A; normal: n=4; primary SINETs: n=9) were examined using the Louvain algorithm. Transcripts for GPCR-associated genes was determined by PCR in an independent human SINET dataset (n=18). Functional studies were undertaken in KRJ-I analyzing cAMP and PKA activation (ELISA), pCREB (western) and CRE-transcripts (PCR).
Conference: 8th Annual ENETS Conference (2011)
Category: Basic
Presenting Author: Dr Mark Kidd

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