refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 219 results
Sort by

Filters

Technology

Platform

accession-icon GSE8584
Comparison of rapidly vs. slowly dividing CD8 T cells during acute homeostatic proliferation
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Our earlier study demonstrated that when CFSE-labeled LCMV-or Pichinde virus-immune spleen leukocytes were transferred into T cell-deficient hosts, the bona fide virus-specific memory cells underwent relatively limited cell division and were substantially diluted in frequency by other more extensively proliferating cells originating from that donor cell population. We questioned how the slowly dividing population, which contained bona fide memory cells, differed from the rapidly dividing cells, which contained memory-like cells. As a preliminary screen we performed a comparative genome-wide microarray analysis of genes expressed on sorted rapidly proliferating (CFSE-low) and slowly proliferating (CFSE-high) CD8 cell populations

Publication Title

Programmed death-1 (PD-1) defines a transient and dysfunctional oligoclonal T cell population in acute homeostatic proliferation.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE54626
Adaptation of breast cancer cells to brain, bone marrow, and lung tissue
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The Her-2/Neu-positive mouse breast cancer cell line was serially co-cultured with minced brain, bone marrow, and lung tissue in an intravital microscopy chamber mounted on the dorsal skinfold of nude mice, alternating with growth in vitro. Gene expression analysis was performed on the cells grown in culture after sorting and further growth in vitro. Gene expression under these growth conditions differed in time and according to the co-cultivated organ tissue. This study reveals genes that are expressed by cells as they adapt differentially to various foreign tissue microenvironments, and may represent a paradigm to discover gene expression changes that occur immediately upon extravasation when cancer metastasizes.

Publication Title

Effects of different tissue microenvironments on gene expression in breast cancer cells.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE8421
Gene Expression Profile in Rat Adrenal Zona Glomerulosa Cells Stimulated with Aldosterone Secretagogues
  • organism-icon Rattus norvegicus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The mineralocorticoid aldosterone mainly produced by the adrenal gland is essential for life but an abnormal excessive secretion causes severe pathological effects including hypertension and target organ injury in the heart and kidney. The aim of this study was to determine the gene regulatory network triggered by aldosterone secretagogues in a non transformed cell system. Freshly isolated rat adrenal zona glomerulosa cells were stimulated with the two main aldosterone secretagogues, angiotensin II and potassium, for two hours and subjected to whole genome expression studies using multiple biological and bioinformatics tools. Several genes were differentially expressed by Ang II (n=133) or potassium (n=216). Genes belonging to the nucleic acid binding and transcription factor activity categories were significantly enriched. A subset of the most regulated genes were confirmed by real-time RT-PCR and then their expression analyzed in time curve studies. Differentially expressed genes were grouped according to their time-response expression pattern and their promoter regions analyzed for common regulatory transcription factors binding sites. Finally, data mining with gene promoters, transcription factors and literature databases were performed to generate gene interaction networks for either Ang II or potassium. This study provides for the first time a complete study of the genes that are regulated, and the interaction between them, by aldosterone secretagogues in rat adrenal cells. Increasing our knowledge of adrenal physiology and gene regulation in non transformed cell systems would lead us to a better approach for discovery of candidate genes involved pathological conditions of the adrenal cortex.

Publication Title

Gene expression profile in rat adrenal zona glomerulosa cells stimulated with aldosterone secretagogues.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP118815
Transcriptional response of bovine moncocyte-derived macrophages to infection with strains of Mycobacterium bovis and Mycobacterium avium subspecies paratuberculosis
  • organism-icon Bos taurus
  • sample-icon 72 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Mycobacterium bovis (M. bovis) and Mycobacterium avium subspecies paratuberculosis (MAP) are important pathogens of cattle, causing bovine tuberculosis and Johne's disease respectively. M. bovis and MAP infect residential macrophages in the lung and intestines respectively and subvert the macrophage biology to create a survival niche. To investigate this interaction we simultaneously studied the transcriptional response of bovine monocyte-derived macrophages to infection with two strains of M. bovis (AF2122/97 and G18) and two strains of MAP (C & L1). Overall design: 120 samples were analysed in total; derived from six biological replicates (i.e. cells isolated from six cattle). Cells were left uninfected (medium only controls) or infected with either a M. bovis strain (AF2122/97 or G18) or a MAP strain (C or L1). Cells were harvested at 2, 6, 24 and 48h post infection.

Publication Title

Variation in the Early Host-Pathogen Interaction of Bovine Macrophages with Divergent Mycobacterium bovis Strains in the United Kingdom.

Sample Metadata Fields

Subject, Time

View Samples
accession-icon GSE9761
Response to estradiol-ERalpha, estradiol-Erbeta, and ERE Binding defective mutants
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genomic responses from the estrogen-responsive element-dependent signaling pathway mediated by estrogen receptor alpha are required to elicit cellular alterations.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9759
Response to estradiol-ERbeta and estradiol-ERbeta ERE binding defective mutant
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In addition to the estrogen responsive element (ERE)-dependent gene expression, E2-ERbeta regulates transcription through functional interactions with transfactors bound to their cognate regulatory elements on DNA, hence the ERE-independent signaling pathway. However, the relative importance of the ERE-independent pathway in E2-ERbeta signaling is unclear. Our studies in infected ER-negative cell models with an ERbeta mutant (ERbetaDBD) that functions exclusively at the ERE-independent pathway demonstrated that genomic responses assessed by microarrays from the ERE-independent pathway to E2-ERbeta are not sufficient to alter cellular growth, death or motility. These findings suggest that the ERE-dependent pathway is the canonical E2-ERbeta signaling in model cell lines.

Publication Title

Genomic responses from the estrogen-responsive element-dependent signaling pathway mediated by estrogen receptor alpha are required to elicit cellular alterations.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9758
Response to estradiol-ERalpha ERE Binding defective mutant
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In addition to the estrogen responsive element (ERE)-dependent gene expression, E2-ERalpha regulates transcription through functional interactions with transfactors bound to their cognate regulatory elements on DNA, hence the ERE-independent signaling pathway. However, the relative importance of the ERE-independent pathway in E2-ERalpha signaling is unclear. Our studies in infected ER-negative cell models with an ERalpha mutant (ERalpha 203/204/211E) that functions exclusively at the ERE-independent pathway demonstrated that genomic responses assessed by microarrays from the ERE-independent pathway to E2-ERalpha are not sufficient to alter cellular growth, death or motility. These findings suggest that the ERE-dependent pathway is the canonical E2-ERalpha signaling in model cell lines.

Publication Title

Genomic responses from the estrogen-responsive element-dependent signaling pathway mediated by estrogen receptor alpha are required to elicit cellular alterations.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9757
Response to estradiol-ERalpha
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In addition to the estrogen responsive element (ERE)-dependent gene expression, E2-ERalpha regulates transcription through functional interactions with transfactors bound to their cognate regulatory elements on DNA, hence the ERE-independent signaling pathway. However, the relative importance of the ERE-independent pathway in E2-ERalpha signaling is unclear. Our studies in infected ER-negative cell models with an ERalpha demonstrated that genomic responses assessed by microarrays from the alter cellular growth, death or motility.

Publication Title

Genomic responses from the estrogen-responsive element-dependent signaling pathway mediated by estrogen receptor alpha are required to elicit cellular alterations.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP073810
RNA sequencing analysis of human podocytes reveals glucocorticoid regulated gene networks targeting non-immune pathways
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

To understand the nature of glucocorticoids targeting non-immune cell function, we generate RNA sequencing data from 3 human podocyte cell lines derived from 3 kidney transplant donors and identify the genes that are significantly regulated in dexamethasone-treated podocytes compared to vehicle-treated cells.Our results represent a significant step forward in the genome-wide characterization of the molecular effects of glucocorticoids on human podocytes. The resource generated in this study is important for understanding the targeting of non-immune cell function by glucocorticoids and also for designing more specific podocyte-targeted agents for MCN therapy. Overall design: Transcriptome profiles of human podocytes treated with vehicle and dexamethasone were generated by RNA-sequencing using Illumina HiSeq 2500

Publication Title

RNA sequencing analysis of human podocytes reveals glucocorticoid regulated gene networks targeting non-immune pathways.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE30483
Tissue-specific genetic regulation of splicing and expression
  • organism-icon Homo sapiens
  • sample-icon 343 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Tissue-specific genetic control of splicing: implications for the study of complex traits.

Sample Metadata Fields

Sex, Age

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact