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accession-icon GSE78958
Effect of obesity on molecular characteristics of invasive breast tumors: gene expression analysis of 405 tumors by BMI
  • organism-icon Homo sapiens
  • sample-icon 424 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Background: Obesity is a risk factor for breast cancer in postmenopausal women and is associated with decreased survival and less favorable clinical characteristics such as greater tumor burden, higher grade, and poor prognosis, regardless of menopausal status. Despite the negative impact of obesity on clinical outcome, molecular mechanisms through which excess adiposity influences breast cancer etiology are not well-defined.

Publication Title

Effect of obesity on molecular characteristics of invasive breast tumors: gene expression analysis in a large cohort of female patients.

Sample Metadata Fields

Disease stage

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accession-icon SRP162513
Single-cell RNA sequencing reveals novel markers of pituitary stem cells and hormone-producing cell-types
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Transcription factors and signaling pathways that regulate stem cells and specialized hormone-producing cells in the pituitary gland have been the subject of intense study and have yielded a mechanistic understanding of pituitary organogenesis and disease. Yet, the regulation of stem cell proliferation and differentiation, the heterogeneity among specialized hormone-producing cells, and the role of non-endocrine cells in the gland remain important, unanswered questions. Recent advances in single-cell RNA sequencing (scRNAseq) technologies provide new avenues to address these questions. We  performed scRNAseq on approximately 13,663 cells pooled from six whole pituitary glands of 7-week-old C57BL/6 male mice. We identified pituitary endocrine and stem cells in silico, as well as other support cell-types such as endothelia, connective tissue, and red and white blood cells. Differential gene expression analyses identify known and novel markers of pituitary endocrine and stem cell populations. We demonstrate the value of scRNAseq by in vivo validation of a novel gonadotrope-enriched marker, Foxp2. We present novel scRNAseq data of in vivo pituitary tissue, including data from agnostic clustering algorithms which suggest the presence of a somatotrope subpopulation enriched in sterol/cholesterol synthesis genes. At the same time, we show that incomplete transcriptome annotation can cause false negatives on some scRNAseq platforms that only generate 3' transcript end sequences, and use in vivo data to recover reads of the pituitary transcription factor Prop1. Ultimately, scRNAseq technologies represent a significant opportunity to address longstanding questions regarding the development and function of the different populations of the pituitary gland throughout life. Overall design: 10x Chromium single-cell RNAseq of cells from pituitary glands of 7-week-old male C57BL/6 mice

Publication Title

Single-Cell RNA Sequencing Reveals Novel Markers of Male Pituitary Stem Cells and Hormone-Producing Cell Types.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon GSE66175
Imporatance of substantial weight loss for altering gene expression during intensive cardiovascular lifestyle modification
  • organism-icon Homo sapiens
  • sample-icon 479 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The objective of this study was to examine relationships between weight loss through changes in lifestyle and peripheral blood gene expression profiles. Substantial weight loss (-15.2+3.8%) in lifestyle participants was associated with improvement in selected cardiovascular risk factors and significant changes in peripheral blood gene expression from pre- to post-intervention: 132 unique genes showed significant expression changes related to immune function and inflammatory responses involving endothelial activation.

Publication Title

Importance of substantial weight loss for altering gene expression during cardiovascular lifestyle modification.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE46097
Expression data of Participants of Ornish intervention and Control group
  • organism-icon Homo sapiens
  • sample-icon 377 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Intensive lifestyle modification is believed to mediate cardiovascular disease (CVD) risk through traditional pathways that affect endothelial function and progression of atherosclerosis; however, the extent, persistence, and clinical significance of molecular change during lifestyle modification are not well known. Our study reveals that gene expression signatures are significantly modulated by rigorous lifestyle behaviors and track with CVD risk profiles over time.

Publication Title

Intensive cardiovascular risk reduction induces sustainable changes in expression of genes and pathways important to vascular function.

Sample Metadata Fields

Sex, Age

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accession-icon SRP190499
Time series RNA-seq analyses of Drosophila S2R+ cells after insulin stimulation
  • organism-icon Drosophila melanogaster
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Purpose: identifying genes responding to insulin stimulation in S2R+ cells through whole transcriptome RNA-seq analyses Methods: Total RNA was extracted from S2R+ cells using TRIzol® reagent (Invitrogen). After assessing RNA quality with an Agilent Bioanalyzer, libraries were constructed with Illumina TruSeq mRNA Library Prep Kit , libraries were sequenced using an Illumina HiSeq 4000 at the Columbia Genome Center (http://systemsbiology.columbia.edu/genome-center). Results: Using an time series data analysis workflow incorporating polynormials , we identified 1254 temproally differentially expressed genes responding to insulin stimulation in the S2R+ cells. Overall design: the pre-starved S2R+ cells ( with serum free medium) were stimulated with insulin; triplicate samples were collected at basline and every 20minutes time interval up to three hours; transcriptome profiling

Publication Title

Interspecies analysis of MYC targets identifies tRNA synthetases as mediators of growth and survival in MYC-overexpressing cells.

Sample Metadata Fields

Specimen part, Treatment, Subject, Time

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accession-icon GSE57818
Impact of high-phosphate diet on aortic gene expression
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Uremic media calcification is not only driven by systemic factors such as hyperphosphatemia, but also crticially dependent on vascular smooth muscle cells per se. We hypothesized that the different developmental origins of vscular smooth muscle cells might lead to a heterogeneous susceptibility to develop media calcification.

Publication Title

Heterogeneous susceptibility for uraemic media calcification and concomitant inflammation within the arterial tree.

Sample Metadata Fields

Specimen part

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accession-icon GSE10527
Genome-wide gene expression in soleus muscle of rats artificially selected for high and low running capacity
  • organism-icon Rattus norvegicus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Purpose: Aerobic capacity is a strong predictor of cardiovascular mortality. To determine the relationship between inborn aerobic capacity and soleus gene expression we examined genome-wide gene expression in soleus muscle of rats artificially selected for high and low running capacity (HCR and LCR, respectively) over 16 generations. The artificial selection of LCR caused accumulation of risk factors of cardiovascular disease similar to the metabolic syndrome seen in man, whereas HCR had markedly better cardiac function. We also studied alterations in gene expression in response to exercise training in the two groups, since accumulating evidence indicates that exercise has profound beneficial effects on the metabolic syndrome.

Publication Title

Gene expression profiling of skeletal muscle in exercise-trained and sedentary rats with inborn high and low VO2max.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE9445
Low and High Capacity Runners - Sedentary and Trained: Left Ventricle
  • organism-icon Rattus norvegicus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Aerobic capacity is a strong predictor of cardiovascular mortality. To determine the relationship between aerobic capacity and cardiac gene expression we examined genome-wide gene expression in hearts of rats artificially selected for high- and low running capacity (HCR and LCR, respectively) over 16 generations. HCR were born with an athletic phenotype, whereas LCR exhibited features of the metabolic syndrome.

Publication Title

Aerobic capacity-dependent differences in cardiac gene expression.

Sample Metadata Fields

Sex

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accession-icon GSE349
Resistant
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2), Affymetrix Human Genome U95A Array (hgu95a)

Description

These patients proved resistant to docetaxel treatment, exhibiting residual tumor of 25% or greater remaining volume.

Publication Title

Gene expression profiling for the prediction of therapeutic response to docetaxel in patients with breast cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE350
Sensitive
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

These patients were sensitive to docetaxel treatment, exhibiting less than 25% residual tumor.

Publication Title

Gene expression profiling for the prediction of therapeutic response to docetaxel in patients with breast cancer.

Sample Metadata Fields

No sample metadata fields

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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Developed by the Childhood Cancer Data Lab

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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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