Metabolomic Profiling of Zinc Accumulating Prostate Cancer Cells: dataset of metabolomics and transctiptomics

In this study, we focused on the metabolism of prostate cancer cells forced to accumulate zinc. Because levels of metabolites involved in Krebs and methionine cycle can participate in non-metabolic processes such as changes in gene expression, a panel of 371 genes connected with key steps of carcinogenesis was designed and expression levels of these genes were assessed to determine, which pathways are changed due to the long-term zinc treatment.

As a model of prostate cancerogenesis, wild-type and zinc accumulating cell lines PNT1A, 22Rv1, and PC-3 were used. Metabolite profiles were examined using liquid chromatography triple quadrupole mass spectrometry. Quantification of total intracellular zinc was performed by atomic absorption spectrometry and gene expression investigated by cDNA microarray. 

For description of creation of zinc-resistant cell lines see Holubova et al, Metallomics 2014, DOI 10.1039/C4MT00065J

Description of dataset

Total 6 files are included:

Krebs.metabolites.csv: table of metabolomic data (in ppm) of wild type/untreated/zinc-resistant cells.

Krebs.metabolites.medium.csv: table of metabolomic data (in fold change compared to medium) in cultivation media of abovementioned cells.

RNA_array_fold_p.csv: processed results of microarray displayed as mean log2 fold change (resistant - WT) and p level

RNA_array_raw_22Rv1.csv, RNA_array_raw_PC-3.csv, RNA_array_raw_PNT1A.csv raw data from microarray reader for WT and resistant cells.