refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 117 results
Sort by

Filters

Technology

Platform

accession-icon GSE5185
Engineering Yeast Transcription Machinery for Improved Ethanol Tolerance and Production
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Global transcription machinery engineering (gTME) is an approach for reprogramming gene transcription to elicit cellular phenotypes important for technological applications. Here we show the application of gTME to Saccharomyces cerevisiae for improved glucose/ethanol tolerance, a key trait for many biofuels programs. Mutagenesis of the transcription factor Spt15p and selection led to dominant mutations that conferred increased tolerance and more efficient glucose conversion to ethanol. The desired phenotype results from the combined effect of three separate mutations in the SPT15 gene [serine substituted for phenylalanine (Phe177Ser) and, similarly, Tyr195His, and Lys218Arg]. Thus, gTME can provide a route to complex phenotypes that are not readily accessible by traditional methods.

Publication Title

Engineering yeast transcription machinery for improved ethanol tolerance and production.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP118381
Measuring gene expression and RNA editing in Drosophila adapting to divergent microclimates 
  • organism-icon Drosophila melanogaster
  • sample-icon 63 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We performed RNA-seq to profile gene expression in the heads and whole bodies of 32 isofemale fly lines from two divergent microclimates at ''Evolution Canyon'' in Israel (16 fly lines from each microclimate). We also measured RNA editing levels in the head tissue of these flies. Overall design: For each of the 32 isofemale fly lines from ''Evolution Canyon'', gene expression profiles of whole bodies and heads, along with RNA editing profiles of heads of 3-5 day old male flies through RNA-seq.

Publication Title

Regulation of gene expression and RNA editing in Drosophila adapting to divergent microclimates.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE140640
Expression data from mouse oocytes treated with low-dose bisphenol S
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Bisphenol S (BPS) is widely used to replace earlier-eliminated BPA. We evaluated the effect of acute in vivo BPS exposure on oocyte quality using eight-weeks-old ICR female mice (N = 15 per experimental group), exposed to vehicle or BPS1-BPS4 (0.001, 0.1, 10, and 100 ng BPS x g bw-1 x day-1, respectively). Oocytes were isolated and matured in vitro. Thereafter, we observed that BPS exposure increases aberrant spindle formation in mature oocytes and induces DNA damage. Moreover, BPS3 significantly increases chromatin repressive marks 5-methyl cytosine (5meC) and H3K27me2 in immature oocytes. In the BPS2 group (0.1 ng x g bw-1 x day-1), the increase in 5meC arises during oocyte maturation. Transcriptome analysis shows differential expression of early embryonic development transcripts in BPS2-exposed oocytes. These findings indicate that the biological effect of BPS is non-monotonic, affecting oocyte quality even at concentrations that are orders of magnitude below those measured in humans.

Publication Title

Acute low-dose bisphenol S exposure affects mouse oocyte quality.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

View Samples
accession-icon GSE53717
Identification of Molecular Pathways Facilitating Glioma Cell Invasion In Situ
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gliomas are mostly incurable secondary to their diffuse infiltrative nature. Thus, specific therapeutic targeting of invasive glioma cells is an attractive concept. As cells exit the tumor mass and infiltrate brain parenchyma, they closely interact with a changing micro-environmental landscape that sustains tumor cell invasion.

Publication Title

Identification of molecular pathways facilitating glioma cell invasion in situ.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE12275
MEF FAN TNF
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

FAN (Factor associated with neutral sphingomyelinase activation) is an adaptor protein that constitutively binds to TNF-R1. Microarray analysis was performed in fibroblasts derived from wild-type or FAN knockout mouse embryos to evaluate the role of FAN in TNF-induced gene expression.

Publication Title

FAN stimulates TNF(alpha)-induced gene expression, leukocyte recruitment, and humoral response.

Sample Metadata Fields

Treatment

View Samples
accession-icon SRP117953
Large-scale single cell mapping of the thymic stroma identifies a new thymic epithelial cell lineage [single-cell RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 132 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

T cell development and selection is orchestrated in the thymus by a specialized niche of diverse stromal populations. By transcriptional single cell sorting, we de novo characterize the entire stromal compartment of the thymus. We identified dozens of cell states within the thymic stroma, with thymic epithelial cells (TEC) showing the highest degree of heterogeneity. Our analysis highlights four major medullary TEC (mTEC I-IV) populations, with distinct molecular functions, epigenetic landscapes and lineage regulators. Specifically, mTEC-IV constitutes a new and highly divergent TEC lineage with molecular characteristics of the gut chemosensory epithelial tuft cells. Mice deficient of Pou2f3, a tuft cells master regulator, resulted in complete and specific depletion of mTEC-IV, without affecting other TEC populations. Overall, our study comprehensively defines all stroma cells in the thymus and identifies a new TEC lineage associated with chemosensory properties that may potentially link the adaptive immune system to environmental and neurological signals. Overall design: Transcriptional profiling of single cells from the stroma of mouse thymus, generated from deep sequencing of tens of thousands of cells, sequenced in several batches on illumina Nextseq500

Publication Title

Single-cell mapping of the thymic stroma identifies IL-25-producing tuft epithelial cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

View Samples
accession-icon SRP075415
Transcriptome analysis of virus infected tissues
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We report the application of RNA sequencing for transcriptome analysis of virus infected tissues, enabling the study of tissue responses to infection Overall design: Transcriptome analysis of 2 different tissues infected with two different viruses

Publication Title

Correction for Weisblum et al., "Zika Virus Infects Early- and Midgestation Human Maternal Decidual Tissues, Inducing Distinct Innate Tissue Responses in the Maternal-Fetal Interface".

Sample Metadata Fields

Specimen part, Subject, Time

View Samples
accession-icon SRP078060
Regulators of cellular heterogeneity in basal-like breast cancer influence symmetric versus asymmetric division rates (shRNA targeting)
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Differentiation events contribute to cellular heterogeneity within tumors and influence disease progression and response to therapy. Here we dissect the mechanisms controlling intratumoral heterogeneity within basal-like breast cancers. We show that cancer cells can transition between a differentiation state related to that of normal luminal progenitors and a state closer to that of mature luminal cells, and that this occurs through asymmetric cell divisions. The Polycomb factor EZH2 and the Notch pathway act to increase the rates of symmetric divisions that produce progenitor-like cells, while the FOXA1 transcription factor promotes asymmetric divisions that reduce the numbers of such cells. Through functional screening, we identified a group of regulators that control cancer cell differentiation state and the relative proportions of tumor cell subpopulations. Our findings highlight the regulation of asymmetric cell divisions as a mechanism controlling intratumoral heterogeneity, and identify molecular pathways that control breast cancer cellular composition. Overall design: Expression profiles of HCC70 cells expressing shRNAs targeting regulatory factors that influence basal-like cancer cell population composition

Publication Title

Regulation of Cellular Heterogeneity and Rates of Symmetric and Asymmetric Divisions in Triple-Negative Breast Cancer.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon SRP077979
Regulators of cellular heterogeneity in basal-like breast cancer influence symmetric versus asymmetric division rates (Expression profiles)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Differentiation events contribute to cellular heterogeneity within tumors and influence disease progression and response to therapy. Here we dissect the mechanisms controlling intratumoral heterogeneity within basal-like breast cancers. We show that cancer cells can transition between a differentiation state related to that of normal luminal progenitors and a state closer to that of mature luminal cells, and that this occurs through asymmetric cell divisions. The Polycomb factor EZH2 and the Notch pathway act to increase the rates of symmetric divisions that produce progenitor-like cells, while the FOXA1 transcription factor promotes asymmetric divisions that reduce the numbers of such cells. Through functional screening, we identified a group of regulators that control cancer cell differentiation state and the relative proportions of tumor cell subpopulations. Our findings highlight the regulation of asymmetric cell divisions as a mechanism controlling intratumoral heterogeneity, and identify molecular pathways that control breast cancer cellular composition. Overall design: Expression profiles of three cell subpopulations – K18+, K18+K14+ and K18+Vim+ – sorted from the breast cancer cell lines HCC70 and MDA-MB-468

Publication Title

Regulation of Cellular Heterogeneity and Rates of Symmetric and Asymmetric Divisions in Triple-Negative Breast Cancer.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon SRP068596
RNA profiling of p16ink4a-expressing pancreatic beta-cells
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transcriptome of beta-cells isolated from mice expressing p16ink4a and GFP transgenes and of control ß-cells isolated from mice expressing only the GFP transgene Overall design: RNAseq of murine beta-cells sorted based on GFP expression from three Ins-rtTA/tet-GFP/tet-p16ink4a mice and two control Ins-rtTA/tet-GFP mice following 10 days tet-mediated induction.

Publication Title

p16(Ink4a)-induced senescence of pancreatic beta cells enhances insulin secretion.

Sample Metadata Fields

Specimen part, Subject

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