Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Melan-a melanocytes and B16 melanoma cells

ABSTRACT: This SuperSeries is composed of the following subset Series: GSE11580: Time course RA-treatment of B16 mouse melanoma cells GSE11584: Melan-a mouse melanocytes vs. B16 mouse melanoma cells Keywords: SuperSeries Refer to individual Series

ORGANISM(S): Mus musculus

SUBMITTER: James Denvir

PROVIDER: E-GEOD-11588 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Global analysis of gene expression changes during retinoic acid-induced growth arrest and differentiation of melanoma: comparison to differentially expressed genes in melanocytes vs melanoma.

Estler Mary M Boskovic Goran G Denvir James J Miles Sarah S Primerano Donald A DA Niles Richard M RM

BMC genomics 20081011

<h4>Background</h4>The incidence of malignant melanoma has significantly increased over the last decade. Some of these malignancies are susceptible to the growth inhibitory and pro-differentiating effects of all-trans-retinoic acid (RA). The molecular changes responsible for the biological activity of RA in melanoma are not well understood.<h4>Results</h4>In an analysis of sequential global gene expression changes during a 4-48 h RA treatment of B16 mouse melanoma cells, we found that RA increas ...[more]

PMID: 18847503

Similar Datasets

Project description:Tamoxifen is the most widely prescribed anti-estrogen treatment for patients with ER-positive breast cancer. However, there is still a need for biomarkers that reliably predict endocrine sensitivity in breast cancers and these may well be expressed in a dynamic manner. In this study we assessed gene expression changes at multiple time points (days 1, 2, 4, 7, 14) after tamoxifen treatment in the ER-positive ZR-75-1 xenograft model that displays significant changes in apoptosis, proliferation and angiogenesis within 2 days of therapy. Hierarchical clustering identified six time-related gene expression patterns, which separated into three groups: two with early/transient responses, two with continuous/late responses and two with variable response patterns. The early/transient response represented reductions in many genes that are involved in cell cycle and proliferation (e.g. BUB1B, CCNA2, CDKN3, MKI67, UBE2C), whereas the continuous/late changed genes represented the more classical estrogen response genes (e.g.TFF1, TFF3, IGFBP5). Genes and the proteins they encode were confirmed to have similar temporal patterns of expression in vitro and in vivo and correlated with reduction in tumour volume in primary breast cancer. The profiles of genes that were most differentially expressed on days 2, 4 and 7 following treatment were able to predict prognosis, whereas those most changed on days 1 and 14 were not, in four tamoxifen treated datasets representing a total of 404 patients. Both early/transient/proliferation response genes and continuous/late/estrogen-response genes are able to predict prognosis of primary breast tumours in a dynamic manner. Temporal expression of therapy-response genes is clearly an important factor in characterising the response to endocrine therapy in breast tumours which has significant implications for the timing of biopsies in neoadjuvant biomarker studies. Tamoxifen treated ZR-75 xenograft samples compared to a pooled control. 5 timepoints, replicates and dye swaps, giving a total of 32 arrays

Dataset Information

Melan-a melanocytes and B16 melanoma cells

Publications

Global analysis of gene expression changes during retinoic acid-induced growth arrest and differentiation of melanoma: comparison to differentially expressed genes in melanocytes vs melanoma.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure