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accession-icon GSE8702
Longitudinal Analysis of Progression to Androgen Independence
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Following androgen ablation therapy (AAT), the vast majority of prostate cancer patients develop treatment resistance with a median time of 18-24 months to disease progression. To identify molecular targets that aid in prostate cancer cell survival and contribute to the androgen independent phenotype, we evaluated changes in LNCaP cell gene expression during 12 months of androgen deprivation. At time points reflecting critical growth and phenotypic changes, we performed Affymetrix expression array analysis to examine the effects of androgen deprivation during the acute response, during the period of apparent quiescence, and during the emergence of highly proliferative, androgen-independent prostate cancer cells (LNCaP-AI). We discovered alterations in gene expression for a host of molecules associated with promoting prostate cancer cell growth and survival, regulating cell cycle progression, apoptosis and adrenal androgen metabolism, in addition to AR co-regulators and markers of neuroendocrine disease. These findings illustrate the complexity and unpredictable nature of cancer cell biology and contribute greatly to our understanding of how prostate cancer cells likely survive AAT. The value of this longitudinal approach lies in the ability to examine gene expression changes throughout the cellular response to androgen deprivation; it provides a more dynamic illustration of those genes which contribute to disease progression in addition to specific genes which constitute a malignant androgen-independent phenotype. In conclusion, it is of great importance that we employ new approaches, such as the one proposed here, to continue exploring the cellular mechanisms of therapy resistance and identify promising targets to improve cancer therapeutics.

Publication Title

Longitudinal analysis of androgen deprivation of prostate cancer cells identifies pathways to androgen independence.

Alternate Accession IDs

E-GEOD-8702

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE62249
Type-1-cytokines synergize with oncogene inhibition to induce tumor growth arrest
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Both targeted inhibition of oncogenic driver mutations and immune-based therapies show efficacy in treatment of patients with metastatic cancer but responses are either short-lived or incompletely effective. Oncogene inhibition can augment the efficacy of immune-based therapy but mechanisms by which these two interventions might cooperate are incompletely resolved. Using a novel transplantable BRAFV600E-mutant murine melanoma model (SB-3123), we explore potential mechanisms of synergy between the selective BRAFV600E inhibitor vemurafenib and adoptive cell transfer (ACT)-based immunotherapy. We found that vemurafenib cooperated with ACT to delay melanoma progression but surprisingly did not enhance tumor infiltration or effector function of endogenous or adoptively transferred CD8+ T cells as previously observed. Instead, we found that the T cell cytokines IFN-gamma and TNF-alpha synergized with vemurafenib to induce cell cycle arrest of tumor cells in vitro. This was recapitulated in vivo as continuous vemurafenib administration was required to delay melanoma progression following ACT. The unexpected finding that immune cytokines synergize with oncogene inhibitors to induce growth arrest have major implications for understanding cancer biology at the intersection of oncogenic and immune signaling and provides a basis for design of combinatorial therapeutic approaches for patients with metastatic cancer.

Publication Title

Type I cytokines synergize with oncogene inhibition to induce tumor growth arrest.

Alternate Accession IDs

E-GEOD-62249

Sample Metadata Fields

Sex, Disease, Disease stage, Cell line

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accession-icon SRP111831
Transcriptional Profiling of the Chicken Tracheal Response to Virulent Mycoplasma gallisepticum Strain Rlow
  • organism-icon Gallus gallus
  • sample-icon 35 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The goal of this study was to provide a global assessment of the host''s response to M. gallisepticum over a 7-day time course Overall design: Differential gene expression was assessed between Rlow infected and Hayflick''s only ''control chickens'' on days 1, 3, 5, and 7 (5 infected per day, 4 controls on day 1, 5 controls per days 3, 5, and 7), 39 total chickens assessed.

Publication Title

Transcriptional Profiling of the Chicken Tracheal Response to Virulent Mycoplasma gallisepticum Strain R<sub>low</sub>.

Alternate Accession IDs

GSE101403

Sample Metadata Fields

Subject, Time

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accession-icon SRP064177
Transcriptional regulation by Set1 H3K4 methyltransferase and Jhd2 H3K4 demethylase
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Histone H3K4 methylation is connected to gene transcription from yeast to humans, but its mechanistic role in transcription and chromatin dynamics remains poorly understood. Here, we investigated the functions for Set1 and Jhd2, the sole H3K4 methyltransferase and H3K4 demethylase, respectively, in S. cerevisiae. Our data show that Set1 and Jhd2 predominantly co-regulate transcription. To further understand the role for H3K4 methylation, we overexpressed Flag epitope-tagged SET1-G990E (a dominant hyperactive allele of SET1) in yeast using the constitutive ADH1 promoter (ADH1p). As a control, we also overexpressed Flag epitope-tagged wild type SET1 in yeast. Analysis of gene expression in set1-null, jhd2-null and wild type SET1 or hypeactive SET1-G990E overexpressing mutants together revealed that the transcriptional regulation at a sub-set of genes, inclduing those governing glycogen metabolism and ribosome biogenesis, is highly sensitive to any change (i.e., loss or gain) in H3K4 methylation levels. Overall, we find combined activities of Set1 and Jhd2 via dynamic modulation of H3K4 methylation contribute to positive or negative transcriptional regulation at shared target genes. Overall design: Gene expression changes were generated from five different yeast strains representing wild type control, set1 null and jhd2 null mutants, and wild type SET1 or dominant hyperacive SET1-G990E overexpressing mutants. Three independent biological samples were grown for each strain, total RNA was isolated, libraries were prepared, sequenced, and analyzed separately.

Publication Title

Counteracting H3K4 methylation modulators Set1 and Jhd2 co-regulate chromatin dynamics and gene transcription.

Alternate Accession IDs

GSE73406

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE5806
Identification of differentially expressed genes in brm-101 and syd-2 mutants
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Global analysis of gene expression in 10 day old brm-101 and syd-2 mutant seedlings compared to wild type Landsberg erecta seedlings.

Publication Title

Unique, shared, and redundant roles for the Arabidopsis SWI/SNF chromatin remodeling ATPases BRAHMA and SPLAYED.

Alternate Accession IDs

E-GEOD-5806

Sample Metadata Fields

Age

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accession-icon GSE29522
Expression data from human CD34+ HPC subpopulations isolated from umbilical cord blood (Haddad et al. Blood 104:3918, 2004)
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We used microarrays to analyze the gene expression profile of CD34+CD45RA+CD7+, CD34+CD45RA+CD10+CD19- and CD34+CD45+CD7-CD10-CD19- HPCs isolated from umbilical cord blood

Publication Title

Molecular characterization of early human T/NK and B-lymphoid progenitor cells in umbilical cord blood.

Alternate Accession IDs

E-GEOD-29522

Sample Metadata Fields

Specimen part

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accession-icon GSE8925
Global expression profiling to study the effect of imidazolinone herbicide treatment on Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Using whole genome microarray (Affymetrix ATH1) we studied the transcriptional response of Arabidopsis thaliana to imidazolinone (Arsenal) herbicde that inhibits acetolactate synthase (ALS) enzyme and thus disrupts branched chain amino acid biosynthesis. A number of genes related to amino acid, protein metabolism, growth, regulatory networks, respiratory pathways, stress, defense and secondary metabolism were altered.

Publication Title

A composite transcriptional signature differentiates responses towards closely related herbicides in Arabidopsis thaliana and Brassica napus.

Alternate Accession IDs

E-GEOD-8925

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE8927
Global expression profiling to study the effect of glyphosate herbicide treatment on Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Using whole genome microarray (Affymetrix ATH1) we studied the transcriptional response of Arabidopsis thaliana to glyphosate (Roundup Original) herbicde that inhibits 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS) enzyme and thus disrupts aromaticamino acid biosynthesis. Few genes related to defense and secondary metabolism were altered.

Publication Title

A composite transcriptional signature differentiates responses towards closely related herbicides in Arabidopsis thaliana and Brassica napus.

Alternate Accession IDs

E-GEOD-8927

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE8913
Global expression profiling to study the effect of primisulfuron herbicide treatment on Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Using whole genome microarray (Affymetrix ATH1) we studied the transcriptional response of Arabidopsis thaliana to primisulfuron (Beacon) herbicde that inhibits acetolactate synthase (ALS) enzyme and thus disrupts branmched chain amino acid biosynthesis. A number of genes related to amino acid, protein metabolism, growth, regulatory networks, respiratory pathways, stress, defense and secondary metabolism were altered.

Publication Title

A composite transcriptional signature differentiates responses towards closely related herbicides in Arabidopsis thaliana and Brassica napus.

Alternate Accession IDs

E-GEOD-8913

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE8912
Global expression profiling to study the effect of sulfometuron methyl herbicide treatment on Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Using whole genome microarray (Affymetrix ATH1) we studied the transcriptional response of Arabidopsis thaliana to sulfometuron methyl (oust XP) herbicde that inhibits acetolactate synthase (ALS) enzyme and thus disrupts branmched chain amino acid biosynthesis. A number of genes related to amino acid, protein metabolism, growth, regulatory networks, respiratory pathways, stress, defense and secondary metabolism were altered.

Publication Title

A composite transcriptional signature differentiates responses towards closely related herbicides in Arabidopsis thaliana and Brassica napus.

Alternate Accession IDs

E-GEOD-8912

Sample Metadata Fields

No sample metadata fields

View Samples

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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