Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Transcription profiling of human normal pancreas samples, and samples from patients with chronic pancreatitis, pancreatic cancer and metastatic pancreatic cancer


ABSTRACT: This dataset presents the gene expression profiles of 36 frozen pancreas samples. RNA from 9 normal pancreas samples, 9 samples from patients with chronic pancreatitis, 9 samples from patients with pancreatic cancer and 9 samples from patients with metastatic pancreatic cancer was extracted and hybridized individually to Affymetrix HG_U95Av2 microarray chips. The data present a gene expression profile of the pancreas in normal and diseased states and has been used to identify genes which may play an important role in disease of the pancreas.

ORGANISM(S): Homo sapiens

DISEASE(S): normal

SUBMITTER: Amir Abdollahi 

PROVIDER: E-EMBL-6 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Transcriptional network governing the angiogenic switch in human pancreatic cancer.

Abdollahi Amir A   Schwager Christian C   Kleeff Jörg J   Esposito Irene I   Domhan Sophie S   Peschke Peter P   Hauser Kai K   Hahnfeldt Philip P   Hlatky Lynn L   Debus Jürgen J   Peters Jeffrey M JM   Friess Helmut H   Folkman Judah J   Huber Peter E PE  

Proceedings of the National Academy of Sciences of the United States of America 20070724 31


A shift of the angiogenic balance to the proangiogenic state, termed the "angiogenic switch," is a hallmark of cancer progression. Here we devise a strategy for identifying genetic participants of the angiogenic switch based on inverse regulation of genes in human endothelial cells in response to key endogenous pro- and antiangiogenic proteins. This approach reveals a global network pattern for vascular homeostasis connecting known angiogenesis-related genes with previously unknown signaling com  ...[more]

Similar Datasets

2017-06-09 | PXD005144 | Pride
2012-01-01 | E-GEOD-24279 | biostudies-arrayexpress
2008-12-31 | E-MEXP-804 | biostudies-arrayexpress
2018-08-31 | MSV000082883 | MassIVE
2010-03-11 | E-TABM-664 | biostudies-arrayexpress
2012-01-01 | GSE24279 | GEO
| MSV000090255 | MassIVE
2024-08-05 | GSE243623 | GEO
2022-06-30 | GSE204844 | GEO
2023-06-30 | E-MTAB-7337 | biostudies-arrayexpress