Basal gene expression data of 21 cell lines (18 cancer and 3 non-tumorigenic)
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Philip Groth
PROVIDER: E-GEOD-41445 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:We profiled basal gene expressed levels of 21 cell lines (18 cancer and 3 non-tumorigenic) using Affymetrix HG-U133_plus2 GeneChip microarrays. Goal of the experiment was to benchmark a number of algorithms for biomarker detection all of which utilize gene expression data.
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Project description:Cancer cells utilize a unique form of aerobic glycolysis, called the Warburg effect, to efficiently produce the macromolecules required for proliferation. Here we show that a metabolic program related to the Warburg effect is used during normal Drosophila development and regulated by the fly ortholog of the Estrogen-Related Receptor (ERR) family of nuclear receptors. dERR null mutants die as second instar larvae with abnormally low ATP levels, diminished triacylglyceride stores, and elevated levels of circulating sugars. Metabolomic profiling revealed that the pathways affected in these mutants correspond to those used in the Warburg effect. The expression of active dERR protein in mid-embryogenesis triggers a coordinate switch in gene expression that drives a metabolic program supporting the dramatic growth that occurs during larval development. This study suggests that mammalian ERR family members may promote cancer by directing a metabolic state that supports proliferation. Drosophila larvae were staged at a mid-second instar time point and hand sorted for developmental progression. Individual pools of isogenic animals were collected for each replicate. Three replcates were assayed for each genotype. The two genotypes assayed were a control wild type strain (w1118) and a transheteroallelic combination of err mutant alleles (err1/err2). Labled RNA was then hybridized onto Affymetrix microarrays.
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Project description:The tumor suppressor p53 is the most frequently mutated gene in human cancers, mutated in 25-30% of breast cancers. However, mutation rates differ according to breast cancer subtype, being more prevalent in aggressive estrogen receptor (ER) negative tumors, basal-like and HER2 amplified subtypes. This heterogeneity suggests that p53 may function differently across breast cancer subtypes. We used RNAi-mediated p53 knockdown (KD) and antagomir-mediated KD of microRNAs to study how gene expression and cellular response to p53 loss differ in luminal vs. basal-like breast cancer. As expected, p53 loss caused down regulation of established p53 targets (e.g. p21 and miR-34 family) and increased proliferation in both luminal and basal-like cell lines. However, some p53-dependent changes were subtype-specific, including expression of miR-134, miR-146a, and miR-181b. To study the cellular response to miR-146a upregulation in p53-impaired basal-like lines, antagomir knockdown of miR-146a was performed. KD of miR-146a caused decreased proliferation and increased apoptosis, effectively ablating the effects of p53 loss. Furthermore, we found that miR-146a upregulation decreased NF-kB expression and downregulated the NF-kB-dependent extrinsic apoptotic pathway (including TNF, FADD, and TRADD) and antagomir-mediated miR-146a KD restored expression of these components, suggesting a plausible mechanism for miR-146a-dependent cellular responses. These findings are relevant to human basal-like tumor progression in vivo, since miR-146a is highly expressed in p53-mutant basal-like breast cancers. These findings suggest that targeting miR-146a expression may have value for altering the aggressiveness of p53 mutant basal-like tumors. reference x sample
2014-06-30 | E-GEOD-52783 | biostudies-arrayexpress
Project description:The tumor suppressor p53 is the most frequently mutated gene in human cancers, mutated in 25-30% of breast cancers. However, mutation rates differ according to breast cancer subtype, being more prevalent in aggressive estrogen receptor (ER) negative tumors, basal-like and HER2 amplified subtypes. This heterogeneity suggests that p53 may function differently across breast cancer subtypes. We used RNAi-mediated p53 knockdown (KD) and antagomir-mediated KD of microRNAs to study how gene expression and cellular response to p53 loss differ in luminal vs. basal-like breast cancer. As expected, p53 loss caused down regulation of established p53 targets (e.g. p21 and miR-34 family) and increased proliferation in both luminal and basal-like cell lines. However, some p53-dependent changes were subtype-specific, including expression of miR-134, miR-146a, and miR-181b. To study the cellular response to miR-146a upregulation in p53-impaired basal-like lines, antagomir knockdown of miR-146a was performed. KD of miR-146a caused decreased proliferation and increased apoptosis, effectively ablating the effects of p53 loss. Furthermore, we found that miR-146a upregulation decreased NF-kB expression and downregulated the NF-kB-dependent extrinsic apoptotic pathway (including TNF, FADD, and TRADD) and antagomir-mediated miR-146a KD restored expression of these components, suggesting a plausible mechanism for miR-146a-dependent cellular responses. These findings are relevant to human basal-like tumor progression in vivo, since miR-146a is highly expressed in p53-mutant basal-like breast cancers. These findings suggest that targeting miR-146a expression may have value for altering the aggressiveness of p53 mutant basal-like tumors.
2014-06-30 | GSE52783 | GEO
Project description:Basal gene expression data of 21 cell lines (18 cancer and 3 non-tumorigenic)
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Project description:21 proteins of three different size catgeories were purchased from a commercial supplier and used in different runs at different volumes. A yeast proteome background was present in every sample. This allows researchers to download the raw data, develop their own mathematical methods, and compare to others' methods when they upload their processed data to a Shiny application that calculates a range of performance measures. In the present study, different methods of summarising peptides to proteins and normalising between channels and between runs were compared.
2017-06-12 | PXD003608 | Pride