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accession-icon GSE17654
Analysis of Gene Expression in PTHrP-/- Mammary Buds
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Analysis of Gene Expression in PTHrP-/- Mammary Buds Supports a Role for BMP Signaling and MMP2 in the Initiation of Ductal Morphogenesis.

Publication Title

Analysis of gene expression in PTHrP-/- mammary buds supports a role for BMP signaling and MMP2 in the initiation of ductal morphogenesis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE4235
Whole genome gene expression profiles of migratory cells in the Drosophila ovary
  • organism-icon Drosophila melanogaster
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

Cell migration contributes to normal development and homeostasis as well as to pathological processes such as inflammation and tumor metastasis. Previous genetic screens have revealed a few major signaling pathways that govern follicle cell migrations in the Drosophila ovary, several of which elicit transcriptional responses. However few downstream targets of the critical transcriptional regulators, such as the C/EBP homolog SLBO, have been identified. To characterize the gene expression profile of two migratory cell populations and identify SLBO targets, we employed a magnetic bead based cell separation approach to purify border cells and centripetal cells expressing the mouse CD8 antigen, and carried out whole genome microarray analysis.

Publication Title

Analysis of cell migration using whole-genome expression profiling of migratory cells in the Drosophila ovary.

Sample Metadata Fields

Sex, Specimen part

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accession-icon E-MEXP-891
Transcription profiling by array of mammary gland from Akt1 knock-out mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

A comparison of gene expression in the mammary gland of lactating mice at day 9 after parturition between Akt -/- and wildtype individuals.

Publication Title

Isoform-specific requirement for Akt1 in the developmental regulation of cellular metabolism during lactation.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE51628
Effects of acute Notch activation on the mammary epithelial compartment in vivo
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Notch signaling is widely implicated in mouse mammary gland development and tumorigenesis. To investigate the effects of acute activation of Notch signaling in the mammary epithelial compartment, we generated bi-transgenic MMTV-rtTA; TetO-NICD1 (MTB/TICNX) mice that conditionally express a constitutively active NOTCH1 intracellular domain (NICD1) construct in the mammary epithelium upon doxycycline administration.

Publication Title

Notch promotes recurrence of dormant tumor cells following HER2/neu-targeted therapy.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment, Time

View Samples
accession-icon E-TABM-197
Transcription profiling of mammary glands from virgin or parous rats of four strains
  • organism-icon Rattus norvegicus
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

Microarray analysis of parity induced gene expression changes in the mammary glands of four strains of rats to identify a common gene signature associated with protection against methylnitrosourea induced mammary tumorigenesis.

Publication Title

Hormone-induced protection against mammary tumorigenesis is conserved in multiple rat strains and identifies a core gene expression signature induced by pregnancy.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE13986
MTB/TRAS short-term induction, tumor, and TGFbeta treated NMuMG cells
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

To test whether SVD regression is sufficiently sensitive to detect activation of a secondary, endogenous pathway as it occurs following ectopic manipulation of a strong primary pathway by focusing on the relationship between the Ras and TGF signaling pathways.

Publication Title

Singular value decomposition-based regression identifies activation of endogenous signaling pathways in vivo.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE628
Erythroid Differentiation: G1E Model
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

G1E cells are a Gata-1 erythroid-committed cell line derived from targeted disruption of Gata-1 in embryonic stem cells. The ER4 subclone contains an inducible form of Gata-1 (Gata-1-ER, Gata-1 fused to the estradiol receptor ligand binding domain). We performed transcriptome analysis using this cell line. Estradiol was added to culture medium triggering synchronous and homogenous differentiation. At various time points, RNA was sampled and analyzed using the Affymetrix MG-U74Av2 platform. Three biological replicas (A,B, and C) were performed. The thirty hour time course corresponds to development from the late BFU-E stage through the orthochromatic erythroblast stage.

Publication Title

Global regulation of erythroid gene expression by transcription factor GATA-1.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE96796
Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip (gene symbol), Illumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE96792
Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma [Hep3B]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Sorafenib is the only approved targeted drug for hepatocellular carcinoma (HCC), but its effect on patients survival gain is limited and varies over a wide range depending on patho-genetic conditions. Thus, enhancing the efficacy of sorafenib and finding a reliable predictive biomarker are crucuial to achieve efficient control of HCCs. In this study, we employed a systems approach by combining transcriptome analysis of the mRNA changes in HCC cell lines in response to sorafenib with network analysis to investigate the action and resistance mechanism of sorafenib. Gene ontology and gene set analysis revealed that proteotoxic stress and apoptosis modules are activated in the presence of sorafenib. Further analysis of the endoplasmic reticulum (ER) stress network model combined with in vitro experiments showed that introducing an additional stress by treating the orally active protein disulfide isomerase (PDI) inhibitor (PACMA 31) can synergistically increase the efficacy of sorafenib in vitro and in vivo, which was confirmed using a mouse xenograft model. We also found that HCC patients with high PDI expression show resistance to sorafenib and poor clinical outcomes, compared to the low PDI expression group. These results suggest that PDI is a promising therapeutic target for enhancing the efficacy of sorafenib and can also be a biomarker for predicting sorafenib responsiveness.

Publication Title

Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE96794
Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma [Huh7]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Sorafenib is the only approved targeted drug for hepatocellular carcinoma (HCC), but its effect on patients survival gain is limited and varies over a wide range depending on patho-genetic conditions. Thus, enhancing the efficacy of sorafenib and finding a reliable predictive biomarker are crucuial to achieve efficient control of HCCs. In this study, we employed a systems approach by combining transcriptome analysis of the mRNA changes in HCC cell lines in response to sorafenib with network analysis to investigate the action and resistance mechanism of sorafenib. Gene ontology and gene set analysis revealed that proteotoxic stress and apoptosis modules are activated in the presence of sorafenib. Further analysis of the endoplasmic reticulum (ER) stress network model combined with in vitro experiments showed that introducing an additional stress by treating the orally active protein disulfide isomerase (PDI) inhibitor (PACMA 31) can synergistically increase the efficacy of sorafenib in vitro and in vivo, which was confirmed using a mouse xenograft model. We also found that HCC patients with high PDI expression show resistance to sorafenib and poor clinical outcomes, compared to the low PDI expression group. These results suggest that PDI is a promising therapeutic target for enhancing the efficacy of sorafenib and can also be a biomarker for predicting sorafenib responsiveness.

Publication Title

Protein disulfide isomerase inhibition synergistically enhances the efficacy of sorafenib for hepatocellular carcinoma.

Sample Metadata Fields

Specimen part, Cell line

View Samples
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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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