GEO DataSets

(Submitter supplied) Human Mammalian Epithelial Cells (HMEC) were exposed to different environmental stresses, including hypoxia, lactic acidosis, the combination of hypoxia and lactic acidosis, lactosis , as well as acidosis. We used microarrays to examine the genomic programs of cells incubated under different microenvironments. Keywords: different environmental stresses

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

30 Samples

Download data: CEL

(Submitter supplied) Lactic acidosis and hypoxia are two prominent tumor microenvironmental stresses that are both known to exert important influences on gene expression and phenotypes of cancer cells. But very little is known about the cross-talk and interaction between these two stresses. We performed gene expression analysis of MCF7 cells exposed to lactic acidosis, hypoxia and combined lactic acidosis and hypoxia. We found the hypoxia response elicited under hypoxia was mostly abolished upon simultaneous exposure to lactic acidosis. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL571

12 Samples

Download data: CEL

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array; Genome variation profiling by array

8 related Platforms

105 Samples

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(Submitter supplied) Summary: Breast cancer cell lines have been used widely to investigate breast cancer pathobiology and new therapies. Breast cancer is a molecularly heterogeneous disease, and it is important to understand how well and which cell lines best model that diversity. In particular, microarray studies have identified molecular subtypes (luminal A, luminal B, ERBB2-associated, basal-like and normal-like) with characteristic gene-expression patterns and underlying DNA copy number alterations (CNAs). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL7785

50 Samples

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(Submitter supplied) Breast cancer cell lines have been used widely to investigate breast cancer pathobiology and new therapies. Breast cancer is a molecularly heterogeneous disease, and it is important to understand how well and which cell lines best model that diversity. In particular, microarray studies have identified molecular subtypes - luminal A, luminal B, ERBB2-associated, basal-like and normal-like - with characteristic gene-expression patterns and underlying DNA copy number alterations (CNAs). more...

Organism:

Homo sapiens

Type:

Genome variation profiling by array

7 related Platforms

55 Samples

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(Submitter supplied) Copy number alteration (CNA) profiling of human tumors has revealed recurrent patterns of DNA amplifications and deletions. These patterns are indicative of conserved selection pressures, but cannot be fully explained by known oncogenes and tumor suppressor genes. Using integrative analysis of CNA data from patient tumors and experimental systems, we report that principal component analysis-defined CNA signatures are predictive of glycolytic phenotypes, including FDG-avidity of patient tumors, and increased proliferation. more...

Organism:

Mus musculus; Homo sapiens

Type:

Genome variation profiling by genome tiling array

Platforms:

GPL4091 GPL10449

121 Samples

Download data: TXT

(Submitter supplied) A large number of DNA copy number alterations (CNAs) exist in human breast cancers, and thus characterizing the most frequent ones is key to advancing therapeutics because it is likely that these recurrent CNAs contain breast tumor ‘drivers’ (i.e. causal genes). Here, we have comprehensively profiled a large set of human breast tumors and mouse models of mammary cancers using DNA copy number and gene expression microarrays. more...

Organism:

Homo sapiens; Mus musculus

Type:

Genome variation profiling by SNP array

Platforms:

GPL8887 GPL4092

201 Samples

Download data: TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array; Genome variation profiling by SNP array

Platforms:

GPL570 GPL3720

42 Samples

Download data: CEL

(Submitter supplied) Introduction: A major challenge in the interpretation of genomic profiling data generated from breast cancer samples is the identification of driver genes as distinct from bystander genes which do not impact tumorigenesis. One way to assess the relative importance of alterations in the transcriptome profile is to combine complementary analyses that assess changes in the copy number alterations (CNAs). more...

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array

Platform:

GPL3720

22 Samples

Download data: CEL

(Submitter supplied) Introduction: A major challenge in the interpretation of genomic profiling data generated from breast cancer samples is the identification of driver genes as distinct from bystander genes which do not impact tumorigenesis. One way to assess the relative importance of alterations in the transcriptome profile is to combine complementary analyses that assess changes in the copy number alterations (CNAs). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

20 Samples

Download data: CEL

(Submitter supplied) Breast cancer is a heterogeneous disease with known tumor subtypes. In order to gain insight into the underlying etiologies of these disease subtypes, we first classified tumors according to gene expression intrinsic subtype, and second, identified subtype associated tumor genomic DNA copy number alterations (CNA) using a novel method called SWITCHdna. Most tumor subtypes showed specific CNA with Basal-like breast cancers being the most distinct and associated with loss of RB1, BRCA1, 5q11-35, and showed the greatest overall genomic instability. more...

Organism:

Homo sapiens

Type:

Expression profiling by array; Genome variation profiling by genome tiling array; Genome variation profiling by SNP array

7 related Platforms

504 Samples

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(Submitter supplied) Tumor recurrence represents a significant clinical challenge in the treatment and management of breast cancer. To investigate whether copy number aberrations (CNAs) facilitate the re-emergence of tumor growth from residual disease we performed array comparative genomic hybridization (aCGH) on primary and recurrent mammary tumors from an inducible mouse model of type-I insulin-like growth factor receptor (IGF-IR) driven breast cancer. more...

Organism:

Mus musculus

Type:

Genome variation profiling by genome tiling array

Platform:

GPL15076

19 Samples

Download data: TXT

(Submitter supplied) Molecular profiling was used to classify mammary tumors that develop in MTB-IGFIR transgenic mice. It was determined that the primary mammary tumors (PMT), which develop due to elevated expression of the type I insulin-like growth factor receptor (IGF-IR) in mammary epithelial cells, most closely resemble murine tumors with basal-like or mixed gene expression profiles and with human basal-like breast cancers. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL7202

28 Samples

Download data: TXT

(Submitter supplied) MicroRNAs (miRNAs) are a class of short, single-stranded widely expressed noncoding RNAs that regulate the stability or translational efficiency of target messenger RNAs. Date derived from expression profiling of 489 miRNAs in 101 human primary breast tumor samples, along with genome-wide matched mRNA profiling and extensive clinical information were investigated in this study. miRNA and mRNA expression were analyzed using correlations and enrichments analyses. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array; Expression profiling by array

Platforms:

GPL6480 GPL8227

216 Samples

Download data: TXT

(Submitter supplied) To investigate the biological basis between aging and sporadic breast cancer incidence and prognosis, DNA samples from matched ER+ invasive breast cancers diagnosed in either young (<45) or old (>70) women were analyzed with aCGH Keywords: biomarker identification

Organism:

Homo sapiens

Type:

Genome variation profiling by genome tiling array

Platform:

GPL4999

71 Samples

Download data: XLS

(Submitter supplied) To investigate the biological basis between aging and sporadic breast cancer incidence and prognosis, RNA samples from matched ER+ invasive breast cancers diagnosed in either young (≤45) or old (≥70) women were analyzed by expression microarrays Keywords: biomarker identification

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL4685

47 Samples

Download data: CEL

(Submitter supplied) An array CGH hybridization of breast cancer cell line T47D compared against a normal human female reference.

Organism:

Homo sapiens

Type:

Genome variation profiling by genome tiling array

Platform:

GPL4091

1 Sample

Download data: TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL9551 GPL9550

20 Samples

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(Submitter supplied) To characterize the effects of IGF 1 on CCL171 cells, we cultured pre-starved CCL 171 fibroblasts with or without 50ng/ml IGF 1 for 24 h. We then profiled gene expression changes using Human Exonic Evidence Based Oligonucleotide (HEEBO) microarrays. After stimulation, total RNA was extracted and amplified using a modified Eberwine procedure. The amplified RNA was labeled with the fluorescent dye Cy5 and pooled with Cy3 labeled reference RNA, and then the pooled RNA was hybridized onto HEEBO microarrays. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL9550

4 Samples

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(Submitter supplied) To characterize the effects of IGF 1 on MCF 7 breast cancer cells, we cultured pre-starved MCF 7 cells with or without 50ng/ml IGF 1 for 24 h. We then profiled gene expression changes using Human Exonic Evidence Based Oligonucleotide (HEEBO) microarrays. After stimulation, total RNA was extracted and amplified using a modified Eberwine procedure. The amplified RNA was labeled with the fluorescent dye Cy5 and pooled with Cy3 labeled reference RNA, and then the pooled RNA was hybridized onto HEEBO microarrays. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL9550

4 Samples

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