Gene expression in PDAC, PanINs, normal ductal and acinar cell

 

Buchholz M, Braun M, Heidenblut A, Kestler HA, Kloppel G, Schmiegel W, Hahn SA, Luttges J, Gress TM. Transcriptome analysis of microdissected pancreatic intraepithelial neoplastic lesions. Oncogene. 2005 Oct 6;24(44):6626-36. PMID: 16103885

 

Heidenblut AM, Luttges J, Buchholz M, Heinitz C, Emmersen J, Nielsen KL, Schreiter P, Souquet M, Nowacki S, Herbrand U, Kloppel G, Schmiegel W, Gress T, Hahn SA. aRNA-longSAGE: a new approach to generate SAGE libraries from microdissected cells. Nucleic Acids Res. 2004 Sep 15;32(16):e131. PMID: 15371555

 

gpcn

 

PROJECT DESCRIPTION
Within the German Pancreatic Cancer Net , GPCN, supported between 2001 and 2006 by the German Cancer Foundation (Deutsche Krebshilfe), a collaboration including several groups (see also figure above) was set up to establish methods such as microdissection of pancreatic tissues, isolation of high quality RNA from microdissected tissues,
aRNA-longSAGE
as well as array technology. These technologies were subsequently used to generate the first gene expression profiles from the individual PanIN grades, normal ductal and acinar cells as well as from ductal pancreatic carcinoma. The data of this project are now continuously explored by the members of the GPCN to identify and validate novel targets potentially useful for the development of inovative therapeutic and diagnostic strategies (see also the molecular imaging project ). Furthermore, with published expression data from within the GPCN and other groups a Pancreatic Gene Expression database was set up by the Molecular Oncology group within the Institute of Cancer in collaboration with our group using the Biomart project. The Pancreatic Expression database closes a gap by providing the pancreatic research community an open access tool not only to mine currently available pancreatic cancer data sets but also to include their own data into the database.