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Links from GEO DataSets

Items: 20

1.

Targeting the SIN3A-PF1 Interaction inhibits Epithelial to Mesenchymal Transition and Maintenance of a Stem Cell Phenotype in Triple Negative Breast Cancer

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array; Methylation profiling by high throughput sequencing
Platforms:
GPL16791 GPL6244
9 Samples
Download data: BED, BIGWIG, CEL, CHP
Series
Accession:
GSE73871
ID:
200073871
2.

Targeting the SIN3A-PF1 Interaction inhibits Epithelial to Mesenchymal Transition and Maintenance of a Stem Cell Phenotype in Triple Negative Breast Cancer (MNase-seq)

(Submitter supplied) Triple negative breast cancer (TNBC) is characterized by a poorly differentiated phenotype and limited treatment options. Aberrant epigenetics in this subtype represent a potential therapeutic opportunity, but a better understanding of the mechanisms contributing to the TNBC pathogenesis is required. The SIN3 molecular scaffold performs a critical role in multiple cellular processes, including epigenetic regulation, and has been identified as a potential therapeutic target. more...
Organism:
Homo sapiens
Type:
Methylation profiling by high throughput sequencing
Platform:
GPL16791
4 Samples
Download data: BED, BIGWIG
Series
Accession:
GSE73869
ID:
200073869
3.

Targeting the SIN3A-PF1 Interaction inhibits Epithelial to Mesenchymal Transition and Maintenance of a Stem Cell Phenotype in Triple Negative Breast Cancer (Expression)

(Submitter supplied) Triple negative breast cancer (TNBC) is characterized by a poorly differentiated phenotype and limited treatment options. Aberrant epigenetics in this subtype represent a potential therapeutic opportunity, but a better understanding of the mechanisms contributing to the TNBC pathogenesis is required. The SIN3 molecular scaffold performs a critical role in multiple cellular processes, including epigenetic regulation, and has been identified as a potential therapeutic target. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6244
5 Samples
Download data: CEL, CHP
Series
Accession:
GSE73278
ID:
200073278
4.

Selective inhibition of SIN3 corepressor with avermectins as a novel therapeutic strategy in triple negative breast cancer

(Submitter supplied) Triple negative breast cancers (TNBC) lacking estrogen, progesterone and HER2 receptors account for 10-20% of breast cancer and are indicative of poor prognosis. The development of effective treatment strategies therefore represents a pressing unmet clinical need. We previously identified a molecularly-targeted approach to target aberrant epigenetics of TNBC using a peptide corresponding to the SIN3 interaction domain (SID) of MAD. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6244
6 Samples
Download data: CEL, CHP
Series
Accession:
GSE67438
ID:
200067438
5.

Targeted interference of sin3a-tgif1 function by SID decoy treatment inhibits WNT signaling and invasion in triple negative breast cancer cells

(Submitter supplied) Targeted interference of sin3a-tgif1 function by SID decoy treatment inhibits WNT signaling and invasion in triple negative breast cancer cells. MDA-MB-231 cells were treated with scrambled SID control, 2.5µM SID peptide or untreated for 24h.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6244
9 Samples
Download data: CEL, CHP
Series
Accession:
GSE84648
ID:
200084648
6.

miRNA profiles in head and neck natural epithelial - mesenchymal phenotype cell line pair, and in TGF-β induced EMT models

(Submitter supplied) Sixth generation Exiqon® locked nucleic acid miRCURY™ LNA microarrays were used to search and validate some unidentified miRNAs that regulate EMT in head and neck cancer carcinoma.
Organism:
Homo sapiens; Murid gammaherpesvirus 4; Betapolyomavirus hominis; Mus musculus; Human alphaherpesvirus 1; Human betaherpesvirus 5; Murid betaherpesvirus 1; Human immunodeficiency virus 1; Rattus norvegicus; Human alphaherpesvirus 2; Merkel cell polyomavirus; human gammaherpesvirus 4; JC polyomavirus; Human gammaherpesvirus 8; Mus musculus cytomegalovirus 2; Betapolyomavirus macacae
Type:
Non-coding RNA profiling by array
Platform:
GPL11434
3 Samples
Download data: TXT
Series
Accession:
GSE38459
ID:
200038459
7.

Antitumor activity of the novel multi-kinase inhibitor EC-70124 in triple negative breast cancer

(Submitter supplied) Disseminated triple negative breast cancer (TNBC) is an incurable disease with limited therapeutic options beyond chemotherapy. Therefore, identification of druggable vulnerabilities is a mind aim. Protein kinases play a central role in cancer and particularly in TNBC. They are involved in many oncogenic functions including migration, proliferation, genetic stability or maintenance of stem-cell like properties. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6244
6 Samples
Download data: CEL
Series
Accession:
GSE70115
ID:
200070115
8.

Targeted mRNA gene expression profiling of primary tumors and lung metastases using a mouse model of spontaneous metastatic mammary carcinoma

(Submitter supplied) In this study, we explored the molecular basis of site-specific metastasis of breast cancer to the lungs in a clinically relevant model based on the JygMC(A) cell line. In this dataset, we include expression data from JygMC(A) primary mammary tumors (carcinoma and EMT-like areas), lung metastases, normal mammary glands and normal lung parenchyma.
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL19518
36 Samples
Download data: RCC
Series
Accession:
GSE63951
ID:
200063951
9.

miRNA gene expression profiling of primary tumors and lung metastases using a mouse model of spontaneous metastatic mammary carcinoma

(Submitter supplied) Expression profiling of a total of 566 miRNA genes and controls in 24 laser microdissected samples (normal lung parenchyma, normal mammary glands, lung metastases, primary tumor carcinoma and primary tumor EMT) and Jyg MC (A) GFP/Luc cells and spheres
Organism:
Mus musculus
Type:
Non-coding RNA profiling by array
Platform:
GPL19460
24 Samples
Download data: RCC
Series
Accession:
GSE63633
ID:
200063633
10.

Global gene expression profiling of primary tumors and lung metastases using a mouse model of spontaneous metastatic mammary carcinoma

(Submitter supplied) In this study, we explored the molecular basis of site-specific metastasis of breast cancer to the lungs in a clinically relevant model based on the JygMC(A) cell line. In this dataset, we include expression data from JygMC(A) primary mammary tumors, lung metastases, normal mammary glands and normal lung parenchyma.
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL1261
28 Samples
Download data: CEL
Series
Accession:
GSE63627
ID:
200063627
11.

Epigenetic heterogeneity and transcriptional drivers of triple-negative breast cancer [ChIP-Seq]

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL24676
64 Samples
Download data: BW, NARROWPEAK
Series
Accession:
GSE232086
ID:
200232086
12.

Epigenetic heterogeneity and transcriptional drivers of triple-negative breast cancer [RNA-Seq]

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24676
22 Samples
Download data: CSV
Series
Accession:
GSE232085
ID:
200232085
13.

Epigenetic heterogeneity and transcriptional drivers of triple-negative breast cancer

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Methylation profiling by array; Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL18573 GPL13534 GPL24676
386 Samples
Download data: BW, IDAT, NARROWPEAK
Series
Accession:
GSE202776
ID:
200202776
14.

Epigenetic heterogeneity and transcriptional drivers of triple-negative breast cancer (PDX Methylation)

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL13534
15 Samples
Download data: IDAT, TSV
Series
Accession:
GSE202775
ID:
200202775
15.

Epigenetic heterogeneity and transcriptional drivers of triple-negative breast cancer (Cell lines Methylation)

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL13534
34 Samples
Download data: IDAT, TSV
Series
Accession:
GSE202774
ID:
200202774
16.

Epigenetic heterogeneity and transcriptional drivers of triple-negative breast cancer (PDX RNA-Seq)

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
15 Samples
Download data: CSV
Series
Accession:
GSE202773
ID:
200202773
17.

Epigenetic heterogeneity and transcriptional drivers of triple-negative breast cancer (PDX H3K27ac ChIP-Seq)

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL18573
24 Samples
Download data: BW, NARROWPEAK
Series
Accession:
GSE202772
ID:
200202772
18.

Epigenetic heterogeneity and transcriptional drivers of triple-negative breast cancer (Cell lines scRNA-Seq)

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24676
23 Samples
Download data: RDATA
Series
Accession:
GSE202771
ID:
200202771
19.

Epigenetic heterogeneity and transcriptional drivers of triple-negative breast cancer (TNBC cell lines RNA-Seq)

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
34 Samples
Download data: CSV
Series
Accession:
GSE202770
ID:
200202770
20.

Epigenetic heterogeneity and transcriptional drivers of triple-negative breast cancer (PRRX1 OE RNA-Seq)

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24676
48 Samples
Download data: CSV
Series
Accession:
GSE202769
ID:
200202769
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Supplemental Content

db=gds|term=|query=1|qty=17|blobid=MCID_669cfc7257bd0c11909af096|ismultiple=true|min_list=5|max_list=20|def_tree=20|def_list=|def_view=|url=/Taxonomy/backend/subset.cgi?|trace_url=/stat?
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