Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

CaArray_merco-00121: In silico dissection of cell-type-associated patterns of gene expression in prostate cancer


ABSTRACT: Prostate tumors are complex entities composed of malignant cells mixed and interacting with nonmalignant cells. However, molecular analyses by standard gene expression profiling are limited because spatial information and nontumor cell types are lost in sample preparation. We scored 88 prostate specimens for relative content of tumor, benign hyperplastic epithelium, stroma, and dilated cystic glands. The proportions of these cell types were then linked in silico to gene expression levels determined by microarray analysis, revealing unique cell-specific profiles. Gene expression differences for malignant and nonmalignant epithelial cells (tumor versus benign hyperplastic epithelium) could be identified without being confounded by contributions from stroma that dominate many samples or sacri

ORGANISM(S): Homo sapiens

DISEASE(S): normal

SUBMITTER: Mervi Heiskanen 

PROVIDER: E-GEOD-82132 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Sorry, this publication's infomation has not been loaded in the Indexer, please go directly to PUBMED or Altmetric.

Similar Datasets