Dataset features


Application: Gene expression microarray analysis
Number of samples: 5
Release date: Jul 29 2016
Last update date: Jul 30 2016
Access: Public
Diseases: Glioblastoma, Hodgkin Disease, Neoplasms, Leukemia, Biphenotypic, Acute, Mixed Tumor, Malignant
Chemicals: Formaldehyde, Paraffin
Dataset link In-Vivo Fusion of Human Cancer and Hamster Stromal Cells Permanently Transduces and Transcribes Human DNA

Experimental Protocol

Human gene expression profiles were determined by microarray analysis for 3 different Human-Hamster hybrid tumors, two Hodgkin lymphomas (GW-532, GW-584) and a glioblastoma multiforme (GB-749), that were first generated in the hamster cheek pouch after human tumor grafting and then propagated in hamsters and in cell cultures for years. Human gene expression was assessed using total RNA isolated from FFPE samples from GW-532 generations 2 and 34, GW-584 generation 28, and GB-749, in comparison to that for a Hamster control RNA sample isolated from a Hamster melanoma cell line (ATCC CCL-49). Expressed human genes were identified using MAS 5.0 signal expression values and detection P-values in the following manner: 1) Unannotated probe sets, as well as probe sets with no signal value greater than the median signal for AFFX spike-in controls with all Absent Detection Calls, were omitted from further analysis; 2) All remaining signal values for the hamster cell line sample were multiplied by the ratio of the median signal in all FFPE hybrid samples for AFFX spike-in control probe sets called present in all samples divided by the median signal for the same probe sets in the hamster CCL-49 sample; 3) Human transcripts were considered positive in a human-hamster hybrid FFPE sample if (a) a probe set signal exhibited a 2-fold or greater increase in any FFPE hybrid sample compared to the CCL-49 coontrol sample, (b) the fold change was greater than 2 standard deviations for that probe set across the FFPE samples, and (c) was called present (P) or marginal (M) for at least one or more FFPE samples.










David Goldenberg
David M Goldenberg