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accession-icon GSE8924
Effects of FSH on testicular mRNA transcript levels in the hypogonadal mouse
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

In the normal mouse the pituitary gonadotrophins determine development, maturation and physiological regulation of the testis with follicle-stimulating hormone (FSH) activating the Sertoli cell and luteinising hormone (LH) the Leydig cell. To look at the potential interaction of cell types within the testis following hormone stimulation we have investigated the effect of rFSH on testicular gene expression in the hypogonadal (hpg) male mouse. Due to a deletion in the gene encoding gonadotrophin-releasing hormone (GnRH), FSH and LH levels are at the lower limit of detection in the circulation and mice remain in a pre-pubertal state throughout life unless given exogenous hormone.

Publication Title

Effects of FSH on testicular mRNA transcript levels in the hypogonadal mouse.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE42822
Expression data from breast cancer FNA biopsies from patients ( (USO samples)
  • organism-icon Homo sapiens
  • sample-icon 91 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Tumor samples were obtained from patients with stage II-III breast cancer before starting neoadjuvant chemotherapy with four cycles of 5-fluorouracil/epirubicin/cyclophosphamide (FEC) followed by four cycles of docetaxel/capecitabine (TX) on US Oncology clinical trial 02-103. Most patients with HER-2-positive cancer also received trastuzumab (H).

Publication Title

Cell line derived multi-gene predictor of pathologic response to neoadjuvant chemotherapy in breast cancer: a validation study on US Oncology 02-103 clinical trial.

Sample Metadata Fields

Age

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accession-icon GSE22093
Expression data from breast cancer FNA biopsies from patients
  • organism-icon Homo sapiens
  • sample-icon 103 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We assess if distinct biological processes might be associated with chemotherapy sensitivity in the different clinical subsets of breast cancers.

Publication Title

Gene pathways associated with prognosis and chemotherapy sensitivity in molecular subtypes of breast cancer.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE23988
Expression data from breast cancer FNA biopsies from patients (US samples)
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This is Phase II Trial of 4courses of 5-fluorouracil, doxorubicin and cyclophosphamide follwed by 4 additional courses of weekly docetaxel and capecitabine administered as Preoperative Therapy for Patients with Locally Advanced Breast Cancer, Stages II and III by US oncology (PROTOCOL 02-103)

Publication Title

Gene pathways associated with prognosis and chemotherapy sensitivity in molecular subtypes of breast cancer.

Sample Metadata Fields

Age, Disease stage

View Samples
accession-icon GSE6291
Transcriptome Analysis Multipotent Adult Progenitor Cells (Affy)
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We compare the transcriptome of two different clones of multipotent adult progenitor cells (MAPCs) using Affymetrix arrays.

Publication Title

Hematopoietic reconstitution by multipotent adult progenitor cells: precursors to long-term hematopoietic stem cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE25066
Genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer
  • organism-icon Homo sapiens
  • sample-icon 506 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A genomic predictor of response and survival following taxane-anthracycline chemotherapy for invasive breast cancer.

Sample Metadata Fields

Specimen part, Disease stage

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accession-icon GSE25055
Discovery cohort for genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer
  • organism-icon Homo sapiens
  • sample-icon 224 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

PURPOSE: To develop a predictive test for response and survival following neoadjuvant taxane-anthracycline chemotherapy for HER2-negative invasive breast cancer.

Publication Title

A genomic predictor of response and survival following taxane-anthracycline chemotherapy for invasive breast cancer.

Sample Metadata Fields

Specimen part, Disease stage

View Samples
accession-icon GSE25065
Validation cohort for genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer
  • organism-icon Homo sapiens
  • sample-icon 198 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

PURPOSE: To develop a predictive test for response and survival following neoadjuvant taxane-anthracycline chemotherapy for HER2-negative invasive breast cancer.

Publication Title

A genomic predictor of response and survival following taxane-anthracycline chemotherapy for invasive breast cancer.

Sample Metadata Fields

Specimen part, Disease stage

View Samples
accession-icon SRP041039
Ribosome profiling upon glucose starvation in S. cerevisiae
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 37 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II, Illumina HiSeq 2000

Description

A universal feature of the response to stress and nutrient limitation is transcriptional upregulation of genes encoding proteins important for survival. Interestingly, under many of these conditions overall protein synthesis levels are reduced, thereby dampening the stress response at the level of protein expression. For example, during glucose starvation in yeast, translation is rapidly and reversibly repressed, yet transcription of many stress- and glucose-repressed genes is increased. Using ribosome profiling and microscopy, we found that this transcriptionally upregulated gene set consists of two classes: (1) one producing mRNAs that are preferentially translated during glucose limitation and are diffusely localized in the cytoplasm – this class includes many heat shock protein mRNAs; and (2) another producing mRNAs that are poorly translated during glucose limitation, have high rates of translation initiation, and are concentrated in foci that co-localize with P bodies and stress granules – this class is enriched for glucose metabolism mRNAs. Remarkably, the information specifying differential localization and translation of these two classes of mRNAs is encoded in the promoter sequence – promoter responsiveness to heat shock factor (Hsf1) specifies diffuse cytoplasmic localization and preferential translation upon glucose starvation, whereas different promoter elements upstream of genes encoding poorly translated glucose metabolism mRNAs direct these mRNAs to RNA granules under glucose starvation. Thus, promoter sequences and transcription factor binding can influence not only mRNA levels, but also subcellular localization of mRNAs and the efficiency with which they are translated, enabling cells to tailor protein production to environmental conditions. Overall design: Examination of mRNA translation in S. cerevisiae upon glucose starvation.

Publication Title

Promoter sequences direct cytoplasmic localization and translation of mRNAs during starvation in yeast.

Sample Metadata Fields

Cell line, Treatment, Subject

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accession-icon SRP103929
Evolution of Reduced Co-Activator Dependence Led to Target Expansion of a Starvation Response Pathway [Scer RNA-seq]
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

In S. cerevisiae, the phosphate starvation (PHO) responsive transcription factors Pho4 and Pho2 are jointly required for induction of phosphate response genes and survival in phosphate starvation conditions. In the related human commensal and pathogen C. glabrata, Pho4 is required but Pho2 is dispensable for survival in phosphate-limited conditions and is only partially required for inducing the phosphate response genes. This reduced dependence on Pho2 evolved in C. glabrata and closely related species. Pho4 orthologs that are less dependent on Pho2 induce more genes when introduced into the S. cerevisiae background, and Pho4 in C. glabrata both binds to more sites and induces more genes with expanded functional roles compared to Pho4 in S. cerevisiae. We used RNA-seq to profile the transcriptome of wild type and mutants of Pho4 / Pho2, or Pho4 ortholog swap in S. cerevisiae, to identify genes induced by Pho4 or its orthologs in S. cerevisiae background. Overall design: The goal is to identify genes induced by each of the eight Pho4 orthologs in the S. cerevisiae background, either with or without S. cerevisiae Pho2 (ScPho2) and with the negative regulator of Pho4, Pho80, deleted. Pairwise comparisons such as that between a S. cerevisiae strain carrying Pho4 from C. glabrata (CgPho4) and a pho4? strain, both in the pho80? ScPHO2 background, will identify genes induced by CgPho4 in the presence of ScPho2. For each strain, two biological replicates, i.e. the same genotype grown, collected and processed separately, were analyzed by RNA-seq.

Publication Title

Evolution of reduced co-activator dependence led to target expansion of a starvation response pathway.

Sample Metadata Fields

Subject

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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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