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Links from GEO DataSets

Items: 20

1.

Molecular Characterization of Breast Cancer Subtypes from Joint Analysis of High Throughput miRNA and mRNA Data (II)

(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
Series
Accession:
GSE19783
ID:
200019783
2.

Genome-wide DNA methylation profiles in progression to in situ and invasive carcinoma of the breast with impact on gene transcription and prognosis

(Submitter supplied) Ductal carcinoma in situ (DCIS) of the breast is a precursor of invasive breast carcinoma (IBC). DNA methylation alterations are thought to be an early event in progression of cancer, and may prove valuable as a tool in clinical decision making and for understanding neoplastic development. Genome-wide DNA methylation profiles of 285 breast tissue samples representing progression of cancer were generated using Illumina HumanMethylation450. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL13534
285 Samples
Download data: IDAT
Series
Accession:
GSE60185
ID:
200060185
3.

Molecular Characterization of Breast Cancer Subtypes Derived from Joint Analysis of High Throughput miRNA and mRNA Data

(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
215 Samples
Download data: TXT
Series
Accession:
GSE19536
ID:
200019536
4.

Integration of transcript expression, copy number and LOH analysis of infiltrating ductal carcinoma of the breast

(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
Series
Accession:
GSE22840
ID:
200022840
5.

Integration of transcript expression, copy number and LOH analysis of infiltrating ductal carcinoma of the breast: copy number analysis

(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
Series
Accession:
GSE22839
ID:
200022839
6.

Integration of transcript expression, copy number and LOH analysis of infiltrating ductal carcinoma of the breast: expression analysis

(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
Series
Accession:
GSE22544
ID:
200022544
7.

Genomic Profiling of mouse mammary tumor models identifies miRNA signatures associated with mammary tumor lineage (primary tumors and normal mammary glands)

(Submitter supplied) MicroRNAs (miRNAs) are small, non-coding, endogenous RNAs involved in many human diseases including breast cancer. miRNA expression profiling of human breast cancers has identified miRNAs related to the clinical diversity of the disease and potentially provides novel diagnostic and prognostic tools for breast cancer therapy. In order to further understand the roles of miRNAs in association with oncogenic drivers and in specifying sub-types of breast cancer, we performed miRNAexpression profiling on mammary tumors from eight well-characterized genetically -engineered Mouse (GEM) models of human breast cancer including MMTV–H-Ras, -Her2/neu, -c-Myc, -PymT, –Wnt1 and C3(1)/SV40 T/t-antigen transgenic mice, BRCA1fl/fl;p53+/-;MMTV-cre and the p53fl/fl ;MMTV-cre transplant model.
Organism:
Mus musculus
Type:
Non-coding RNA profiling by array
Platform:
GPL10880
46 Samples
Download data: TXT
Series
Accession:
GSE23978
ID:
200023978
8.

Genomic Profiling of mouse mammary tumor models identifies miRNA signatures associated with mammary tumor lineage (mammary normal and tumors in different mice strains)

(Submitter supplied) MicroRNAs (miRNAs) are small, non-coding, endogenous RNAs involved in many human diseases including breast cancer. miRNA expression profiling of human breast cancers has identified miRNAs related to the clinical diversity of the disease and potentially provides novel diagnostic and prognostic tools for breast cancer therapy. In order to further understand the roles of miRNAs in association with oncogenic drivers and in specifying sub-types of breast cancer, we performed miRNAexpression profiling on mammary tumors from eight well-characterized genetically -engineered Mouse (GEM) models of human breast cancer including MMTV–H-Ras, -Her2/neu, -c-Myc, -PymT, –Wnt1 and C3(1)/SV40 T/t-antigen transgenic mice, BRCA1fl/fl;p53+/-;MMTV-cre and the p53fl/fl ;MMTV-cre transplant model. more...
Organism:
Mus musculus
Type:
Non-coding RNA profiling by array
Platform:
GPL10880
11 Samples
Download data: TXT
Series
Accession:
GSE23977
ID:
200023977
9.

Comprehensive genomic profiling identified miRNA signatures associated with mammary tumor differentiation and development

(Submitter supplied) We performed affymetrix gene expression profiling on mammary tumors from eight well-characterized genetically engineered Mouse (GEM) models of human breast cancer. The gene expression data will be combined with the miRNA gene expression data from the corresponding mammary tumors and tissues for integrated miRNA and mRNA gene expression analysis, which are useful in improving the identification of miRNA targets from potential targets identified in silico.
Organism:
Mus musculus
Type:
Expression profiling by array
Dataset:
GDS4077
Platform:
GPL8321
46 Samples
Download data: CEL
Series
Accession:
GSE23938
ID:
200023938
10.
Full record GDS4077

Genetically engineered murine models of human breast cancer

Analysis eight well-characterized genetically engineered mouse (GEM) models of human breast cancer , including MMTV-H-Ras, -Her2/neu, -c-Myc, -PymT, -Wnt1 and C3(1)/SV40 T/t-antigen transgenic mice, BRCA1(fl/fl);p53(+/-);MMTV-cre knock-out mice and the p53(fl/fl);MMTV-cre transplant model.
Organism:
Mus musculus
Type:
Expression profiling by array, transformed count, 9 genotype/variation, 3 strain, 2 tissue sets
Platform:
GPL8321
Series:
GSE23938
46 Samples
Download data: CEL
11.

Expression data from breast cancer cell lines

(Submitter supplied) Breast cancer is a genetically and phenotypically complex disease. To understand the role of microRNAs in this molecular complexity, we performed miRNA expression analysis in a cohort of molecularly well-characterized human breast cancer (BC) cell lines to discover miRNAs associated with the most common molecular subtypes and the most frequent genetic aberrations.Using a microarray carrying LNA™ modified oligonucleotide capture probes (Exiqon), expression levels of 725 human miRNAs were measured in 51 BC cell lines. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL13158
153 Samples
Download data: CEL
Series
Accession:
GSE41313
ID:
200041313
12.

PyMT 4 stages tumor progression microRNA sequencing

(Submitter supplied) We sequenced mammary gland samples of MMTV-PyMT mouse from 4 stages (hyperplasia at week 6, adenoma/MIN at week 8, early carcinoma at week 10, and late carcinoma with lung metastasis at week 12) during tumor progression.
Organism:
Mus musculus
Type:
Non-coding RNA profiling by high throughput sequencing
Platform:
GPL17021
24 Samples
Download data: CSV
Series
Accession:
GSE83189
ID:
200083189
13.

Micro-scale genomic copy number aberrations as another means of mutagenesis in breast cancer

(Submitter supplied) Introduction: In breast cancers, the basal-like subtype has high levels of genomic instability relative to other breast cancer subtypes with many basal-like-specific regions of aberration. There is evidence that this genomic instability extends to smaller scale genomic aberrations as well, as shown by a previously described micro-event in the PTEN gene in the Basal-like SUM149 breast cancer cell line. more...
Organism:
Homo sapiens
Type:
Genome variation profiling by array; Genome variation profiling by genome tiling array
8 related Platforms
192 Samples
Download data
Series
Accession:
GSE36889
ID:
200036889
14.

MicroRNA expression profiling of human breast cancer identifies new markers of tumour subtype

(Submitter supplied) MicroRNAs (miRNAs), a class of short non-coding RNAs, often act post-transcriptionally to inhibit gene expression. We used a bead-based flow cytometric profiling method to obtain miRNA expression data for 93 primary human breast tumours, 21 cell lines and five normal breast samples. Of 309 human miRNAs assayed we identify 133 miRNAs expressed in human breast and breast tumours. We used mRNA expression profiling to classify the breast tumours into Luminal A, Luminal B, Basal-like, HER2+/ER- and Normal-like. more...
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by array
Platform:
GPL5173
119 Samples
Download data
Series
Accession:
GSE7842
ID:
200007842
15.

microRNA expression profiles of distinct human and mouse mammary epithelial cell types

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens; Mus musculus; Rattus norvegicus
Type:
Expression profiling by RT-PCR
Platforms:
GPL10331 GPL18234
32 Samples
Download data
Series
Accession:
GSE67056
ID:
200067056
16.

microRNA expression profiles of distinct mouse mammary epithelial cell types

(Submitter supplied) RNA samples were prepared from freshly sorted mammary cell subpopulations (MaSC/basal-enriched, luminal progenitor, mature luminal and stromal) from five sets of adult mice. High throughput RT-PCR was used to measure the global microRNA expression profiles of each cell subpopulation. The expression profiles were compared between cell subpopulations to gain insight into the regulation of lineage-restricted genes.
Organism:
Rattus norvegicus; Mus musculus
Type:
Expression profiling by RT-PCR
Platform:
GPL10331
14 Samples
Download data: XLS
Series
Accession:
GSE67055
ID:
200067055
17.

microRNA expression profiles of distinct human mammary epithelial cell types

(Submitter supplied) RNA samples were prepared from freshly sorted mammary cell subpopulations (MaSC/basal-enriched, luminal progenitor, mature luminal and stromal) from five human donors. High throughput RT-PCR was used to measure the global microRNA expression profiles of each cell subpopulation. The expression profiles were compared between cell subpopulations to gain insight into the regulation of lineage-restricted genes.
Organism:
Homo sapiens
Type:
Expression profiling by RT-PCR
Platform:
GPL18234
18 Samples
Download data: XLS
Series
Accession:
GSE67054
ID:
200067054
18.

Identification of novel candidate oncogenes in chromosomal region 17p11.2-p12 in human osteosarcoma

(Submitter supplied) in 25% - 30% of all OS cases the chromosome region 17p11.2-p12 is aberrant. Using SNP array in conjunction with expression microarrays we try to identify genes which can be classified as oncogens or are in someway benificial to the survival of the tumor.
Organism:
Homo sapiens
Type:
Genome variation profiling by SNP array; Expression profiling by array; SNP genotyping by SNP array
Platforms:
GPL6947 GPL6985
68 Samples
Download data: TXT
Series
Accession:
GSE32964
ID:
200032964
19.

Differential miRNA expression profiles betweenHBV-related HCC tumor versus non-tumor liver tissue

(Submitter supplied) miRNA played an important role in the process of carcinogenesis in HBV related hepatocellular carcinoma. Therefore, we performed miRNA microarray to evaluate the miRNAs that expressed differentially between HCC tumor versus non-tumor liver tissues.
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by array
Platform:
GPL10850
10 Samples
Download data: TXT
Series
Accession:
GSE69580
ID:
200069580
20.

microRNAs and their target proteins are associated with characteristics of estrogen receptor-positive breast cancer

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by array; Expression profiling by array
Platforms:
GPL5639 GPL13746
16 Samples
Download data: GPR
Series
Accession:
GSE38280
ID:
200038280
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