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accession-icon SRP151417
Bulk RNA-seq analysis of HUVEC cell cultures with Cerebral Cavernous Malformation (CCM) protein knockdown
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge IconNextSeq 550, Illumina MiniSeq

Description

Gene expression profiles of WT (wild type) and CCM-1, -2, and -3 KD (knockdown of krit1, ccm2 and pdcd10 genes) cells under 2D (Matrigel-coated plastic) and 3D (Matrigel) conditions. Deep sequencing of RNA was performed for cells at the initial (2hrs) and later (6hrs) stages of EC tubule formation. Overall design: Comparative analysis of gene expression of healthy and diseased cells in the tube formation assay

Publication Title

Biomechanics of Endothelial Tubule Formation Differentially Modulated by Cerebral Cavernous Malformation Proteins.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE26535
Complementary patterns of gene expression by human oligodendrocyte progenitors and their environment predict determinants of progenitor maintenance and differentiation.
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

OBJECTIVE: Glial progenitor cells are abundant in adult human white matter. This study was designed to identify signaling pathways regulating their self-renewal and fate.

Publication Title

Complementary patterns of gene expression by human oligodendrocyte progenitors and their environment predict determinants of progenitor maintenance and differentiation.

Sample Metadata Fields

Sex, Age, Disease

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accession-icon GSE11121
The humoral immune system has a key prognostic impact in node-negative breast cancer
  • organism-icon Homo sapiens
  • sample-icon 200 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Estrogen receptor (ER) expression and proliferative activity are established prognostic factors in breast cancer. In a search for additional prognostic motives we analyzed the gene expression patterns of 200 tumors of patients who were not treated by systemic therapy after surgery using a discovery approach. After performing hierarchical cluster analysis, we identified co-regulated genes related to the biological process of proliferation, steroid hormone receptor expression, as well as B cell and T cell infiltration. We calculated metagenes as surrogate for all genes contained within a particular cluster and visualized the relative expression in relation to time to metastasis with principal component analysis. Distinct patterns led to the hypothesis of a prognostic role of the immune system in tumors with high expression of proliferation associated genes. In multivariate Cox regression analysis the proliferation metagene showed a significant association with metastasis-free survival of the whole discovery cohort (Hazard Ratio (HR) 2.20, 95% confidence interval (CI) 1.40-3.46). The B cell metagene showed additional independent prognostic information in carcinomas with high proliferative activity (HR 0.66, 95% CI 0.46 - 0.97). A prognostic influence of the B-cell metagene was independently confirmed by multivariate analysis in a first validation cohort enriched for high grade tumors (n=286, HR 0.78, 95% CI 0.62-0.98), and a second validation cohort enriched for younger patients (n=302, HR 0.83, 95% CI 0.7-0.97). Thus, we could demonstrate in three cohorts of untreated node-negative breast cancer patients, that the humoral immune system plays a pivotal role for metastasis-free survival of carcinomas of the breast.

Publication Title

The humoral immune system has a key prognostic impact in node-negative breast cancer.

Sample Metadata Fields

Disease stage

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accession-icon GSE21539
Comparison of expression data between control and Ovo1 morphant zebrafish embryos
  • organism-icon Danio rerio
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

A fundamental issue in cell biology is how migratory cell behaviors are controlled by dynamically regulated cell adhesion.

Publication Title

Ovo1 links Wnt signaling with N-cadherin localization during neural crest migration.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP067458
Rapid evolutionary adaptation to growth on an 'unfamiliar' carbon source
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 95 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Cells constantly adapt to changes in their environment. In the majority of cases, the environment shifts between conditions that were previously encountered during the course of evolution, thus enabling evolutionary-programmed responses. In rare cases, however, cells may encounter a new environment to which a novel response is required. To characterize the first steps in adaptation to a novel condition, we studied budding yeast growth on xylulose, a sugar that is very rarely found in the wild. We previously reported that growth on xylulose induces the expression of amino-acid biosynthesis genes, in multiple natural yeast isolates. This induction occurs despite the presence of amino acids in the growth medium and is a unique response to xylulose, not triggered by any of the naturally available carbon sources tested. Propagating these strains for ~300 generations on xylulose significantly improved their growth rate. Notably, the most significant change in gene expression was the loss of amino acid biosynthesis gene induction. Furthermore, the reduction in amino-acid biosynthesis gene expression on xylulose was strongly correlated with the improvement in growth rate, suggesting that internal depletion of amino-acids presented the major bottleneck limiting growth in xylulose. We discuss the possible implications of our results for explaining how cells maintain the balance between supply and demand of amino acids during growth in evolutionary 'familiar' vs. 'novel' conditions. Overall design: mRNA profiles of 12 wt S. cerevisiae strains grown on either YPD or YP-xylulose, before and after 300 generations evolution on YP-xylulose

Publication Title

Rapid evolutionary adaptation to growth on an 'unfamiliar' carbon source.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE29814
Molecular profiling of stomatal lineage cell states
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

We initiated a study to investigate the transcriptional profiles associated with cell states of the stomatal lineage. A stem-cell like precursor of stomata, a meristemoid. reiterates asymmetric divisions and renews itself before differentiating into guard cells. The transient and asynchronous nature of the meristemoid has made it difficult to study its molecular characteristics. Through combinatorial use of genetic resources that either arrest or constitutively drive stomatal cell-state progressions due to loss- or gain-of-function mutations in the key transcription factor genes, SPEECHLESS, MUTE, and SCRM, we obtained seedlings highly enriched in pavement cells, meristemoids, or stomata. Here we present transcriptome and genome-wide trends in gene regulation associated with each cell state and identify molecular signatures associated with meristemoids.

Publication Title

Molecular profiling of stomatal meristemoids reveals new component of asymmetric cell division and commonalities among stem cell populations in Arabidopsis.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP062569
Transcriptome analysis upon overexpression of SIN3 187HA in Drosophila cultured cells
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

SIN3 is a master transcriptional scaffold protein. SIN3 interacts with RPD3 and other accessory proteins to form a histone modifying complex. A single Sin3A gene encodes multiple isoforms of SIN3, of which SIN3 187 and SIN3 220 are the predominant isoforms. Previous studies demonstrated that SIN3 isoforms play non-redundant roles during fly development. In the current study, we sought to investigate the genes regulated by SIN3 187. Overall design: S2 cells and cells carrying a stable transgene of SIN3 187HA (SIN3 187HA cells) were treated with 0.07 µM CuSO4. CuSO4 treatment led to ectopic expression of SIN3 187HA. S2 cells were used as a control. Following induction, total mRNA was extracted. mRNA profiling of these samples were performed by deep sequencing using Illumina Hiseq2500. Three biological replicates were performed.

Publication Title

Genome-wide studies reveal novel and distinct biological pathways regulated by SIN3 isoforms.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE26829
Measurements of mRNA abundance and decay for two strains 211 (wt) and 212 (mutant)
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

For each strain two time courses for mRNA abundance: Oxidative and MMS and two time courses for decay: reference decay and following oxidative stress

Publication Title

Transcriptome kinetics is governed by a genome-wide coupling of mRNA production and degradation: a role for RNA Pol II.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP051659
Detection and Characterization of Gene Expression Differences in Transgenic Glycine max Seeds with RNAseq
  • organism-icon Glycine max
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transformation of Glycine max with seed-targeted expression vectors via Agrobacterium causes measurable unscripted gene expression changes in the seed transcriptome Overall design: mRNA was sequenced from three transgenic events expressing three different recombinant proteins in soybean seeds. Three plants were chosen from each as group replicates, and three seeds from each plant as individual biological replicates.

Publication Title

Transcript Polymorphism Rates in Soybean Seed Tissue Are Increased in a Single Transformant of <i>Glycine max</i>.

Sample Metadata Fields

Subject

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accession-icon SRP017325
Decoupling epigenetic and genetic effects through systematic analysis of gene position
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Classic ‘position effect’ experiments repositioned genes to the telomere to demonstrate that the epigenetic landscape can dramatically alter gene expression. Here we show that systematic gene knockout collections provide an exceptional resource for interrogating position effects, not only at the telomere but at every single genetic locus. Because deleted genes are replaced by the same reporter gene, interrogation of this reporter provides a sensitive probe into many different chromatin environments while controlling for genetic context. Using this approach we find that, whereas replacement of yeast genes with the kanMX marker does not perturb the chromatin landscape, differences due to gene position account for more than 35% of marker gene activity. We observe chromatin influences different from those reported previously, including an antagonistic interaction between histone H3 lysine 36 trimethylation (H3K36me3) and the Rap1 transcriptional activation site in kanMX that is mediated through a Set2-Rpd3-dependent pathway. This interaction explains why some yeast genes have been resistant to deletion and allows successful generation of these deletion strains using a modified transformation procedure. These findings demonstrate that chromatin regulation is not governed by a uniform ‘histone code’, but by specific interactions between chromatin and genetic factors. Overall design: Data included are RNA-Seq data for 4 heterzygous diploid yeast strains and diploid wild-type. Therea re three replicates for each heterzygous strain, and six replicates for wild-type.

Publication Title

Decoupling epigenetic and genetic effects through systematic analysis of gene position.

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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