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Transcription profiling of time series of mouse embryonic fibroblast-TBX2 cells treated with LPA

ABSTRACT: EXPERIMENT 1: LPA effect time series LPA concentration 5uM timepoints 0, 0.5, 1, 2, 4, 6 and 24 hrs

ORGANISM(S): Mus musculus

SUBMITTER: Catelijne Stortelers

PROVIDER: E-NCMF-16 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Transcription profiling of human breast carcinomas negative for estrogen, progesterone and HER2/nue receptors

Project description:97 triple negative tumors were selected from the fresh-frozen tissue bank of the Netherlands Cancer Institute and gene expression profiles were generated using 35K oligonucleotide microarrays. Human breast carcinomas were snap frozen in liquid nitrogen within one hour after surgery and stored in the fresh-frozen tissue bank of the Netherlands Cancer Institute. RNA from a pool of more than 100 unselected fresh frozen breast carcinomas were isolated and pooled to form the reference to which each individual breast carcinoma is hybridized.

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Transcription profiling of human CD34+CD38- and CD34+CD38+ cells from patients with acute myelogenous leukemia (AML)

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Dosage dependent tumor suppression by histone deacetylases 1/2

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Project description:-

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Transcription profiling of mouse embryonic fibroblast-TBX2 cells treated with LPA or EGF

Project description:EXPERIMENT 3: LPA compared to EGF response; LPA concentration 5uM; EGF concentration 50ng/ml

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Transcription profiling of untreated and cisplatin-based chemoradiation treated human squamous cell carcinomas to improve prediction of outcome after chemoradiation

Project description:Gene expression profiling to predict outcome after chemoradiation in head and neck cancer Purpose. The goal of the present study was to improve prediction of outcome after chemoradiation in advanced head and neck cancer using gene expression analysis. Materials and Methods. We collected 92 biopsies from untreated head and neck cancer patients subsequently given cisplatin-based chemoradiation (RADPLAT) for advanced squamous cell carcinomas (HNSCC). After RNA extraction and labeling we performed dye swap experiments using 35k oligo-microarrays. Supervised analyses were performed to create classifiers to predict local control, locoregional control and disease recurrence. Published gene sets with prognostic value in other studies were also tested. Results. Using supervised classification on the whole series, gene sets separating good and poor outcome could be found for all end-points. However, when splitting tumors into training and validation groups, no robust classifiers could be found. Also previously published signatures with prognostic value have been tested. Conclusion. Gene sets can be found with predictive potential for locoregional control after combined radiation and chemotherapy in HNSCC. How treatment-specific these gene sets are needs further study.

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