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accession-icon GSE84165
Derivation of ground-state female ESCs maintaining gamete-derived DNA methylation
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Derivation of ground-state female ES cells maintaining gamete-derived DNA methylation.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE82313
Derivation of ground-state female ESCs maintaining gamete-derived DNA methylation [gene expression]
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Preimplantation embryos undergo a transient wave of genome-wide demethylation with the exception of imprinted genes that are critical for fetal development. Here we show that the derivation of female mouse embryonic stem cells (ESCs) in the presence of inhibitors of MEK1/2 and Gsk3 (2i-ESCs), known as 2i or ground-state culture conditions, results in a widespread loss of DNA methylation including a massive erasure of genomic imprints. In this study, we analyzed global gene expression profile and global DNA methylation status in 2i-ESCs and 2i-ESCs derived differentiated cells. S-ESCs are ESCs established under serum-containing medium. 2i_S_ESCs are ESCs established in 2i-containing medium, followed by maintenance in serum-containing medium.

Publication Title

Derivation of ground-state female ES cells maintaining gamete-derived DNA methylation.

Sample Metadata Fields

Specimen part

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accession-icon GSE99080
Expression data from NRF3 knocked-down DLD-1 cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Accumulated evidences suggest physiological relevance between the transcription factor NRF3 (NFE2L3) and cancers. However NRF3 target genes in cancer cells remain poorly understood.

Publication Title

Multiple regulatory mechanisms of the biological function of NRF3 (NFE2L3) control cancer cell proliferation.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE107069
Expression data from superficial zone cells of articular cartilage (SFZ) cells treated with retinoic acid
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To identify downstream transcription factors induced by retinoic acid, we stimulated SFZ cells with 10 M retinoic acid for 24 hours and performed microarray analysis.

Publication Title

Sox4 is involved in osteoarthritic cartilage deterioration through induction of ADAMTS4 and ADAMTS5.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP198408
RNA sequencing in human GBM stem cells with Myc knockdown and PARP inhibitor treatment
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

This experiment is to examine the effect of PARP inhibitor and Myc shRNA knockdown on transcriptome profiles in MYC-amplified human GBM stem cells MGG4. Overall design: There are totally 4 samples. GBM cell MGG4 expressing scramble shRNA or shRNA targeting Myc were grown in doxycycline (Dox, 1 mg/ml) for 6 days, treated with olaparib (Ola, 10 microM) or DMSO for 24h, and harvested for RNA extraction, followed by RNA sequencing

Publication Title

Myc targeted CDK18 promotes ATR and homologous recombination to mediate PARP inhibitor resistance in glioblastoma.

Sample Metadata Fields

Cell line, Treatment, Subject

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accession-icon GSE65020
Gene expression profiles in E3.0 WT and Klf5 KO embryos
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Klf5 has essential functions during early embryogenesis and in the derivation of ES cells from inner-cell mass of blastocyst. Among Kruppel-like factor (Klf) family members, only Klf5 shows peri-implantation lethal phenotype, but the precise mechanisms still remain unknown. To understand and identify molecular mechanisms, we performed microarray analysis by using E3.0 WT and Klf5 KO embryos when first phenotype of Klf5 deficiency appears.

Publication Title

<i>Klf5</i> maintains the balance of primitive endoderm versus epiblast specification during mouse embryonic development by suppression of <i>Fgf4</i>.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE48191
The gene expression profiles of WT and NML-KO livers
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

To examine whether energy starvation caused by the increase in rRNA transcription affects liver metabolism, we compared the gene expression profiles of WT and NML-KO livers using Affymetrix microarray technology.

Publication Title

Hepatic rRNA transcription regulates high-fat-diet-induced obesity.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP166112
Acquired HER2 mutations in ER+ metastatic breast cancer confer resistance to ER-directed therapies
  • organism-icon Homo sapiens
  • sample-icon 189 Downloadable Samples
  • Technology Badge Icon

Description

Estrogen receptor positive (ER+) breast cancers that develop resistance to therapies that target the ER are the most common cause of breast cancer death. Beyond mutations in ER, which occur in 25-30% of patients treated with aromatase inhibitors (AIs), our understanding of clinical mechanisms of resistance to ER-directed therapies remains incomplete. We identified activating HER2 mutations in metastatic biopsies from eight patients with ER+ metastatic breast cancer who had developed resistance to ER-directed agents, including AIs, tamoxifen, and fulvestrant. Examination of treatment-naïve primary tumors in five patients revealed no evidence of pre-existing mutations in four of five patients, suggesting that these mutations were acquired under the selective pressure of ER-directed therapy. These mutations were mutually exclusive with ER mutations, suggesting a distinct mechanism of acquired resistance to ER-directed therapies. In vitro analysis confirmed that these mutations conferred estrogen independence. In addition, and in contrast to ER mutations, these mutations resulted in resistance to tamoxifen, fulvestrant, and the CDK4/6 inhibitor palbociclib. Resistance was overcome by combining ER-directed therapy with the irreversible HER2 kinase inhibitor neratinib, highlighting an effective treatment strategy in these patients. Overall design: Examination of the transcriptional output (mRNA) of the HER2 activating mutations compared with controls under various drugs. Specifically, we expressed the activating mutations S653C, L755S, V777L, and L869R in ER+/HER2- breast cancer cell line (T47D), and controls (GFP, wild-type HER2, kinase-dead HER2, and ESR1 Y537S). Cell were then treated with DMSO, 1µM fulvestrant, 1µM neratinib, 10µM palbociclib, 1µM fulvestrant + 1µM neratinib, or 1µM fulvestrant + 10µM palbociclib for 24 hours. All experimental conditions were done in 6 replicates, sequenced in 3 replicates

Publication Title

Acquired HER2 mutations in ER<sup>+</sup> metastatic breast cancer confer resistance to estrogen receptor-directed therapies.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE42276
Gene expression profile of conventional T cells (Tconv) and regulatory T cells (Treg) stimulated with anti-costimulatory molecule antibodies
  • organism-icon Mus musculus
  • sample-icon 85 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Co-stimulatory molecules of the CD28 family on T lymphocytes integrate cues from innate immune system sensors, and modulate activation responses in conventional CD4+ T cells (Tconv) and their FoxP3+ regulatory counterparts (Treg). To better understand how costimulatory and co-inhibitory signals might be integrated, we profiled the changes in gene expression elicited in the hours and days after engagement of Treg and Tconv by anti-CD3 and either anti-CD28, -CTLA4, -ICOS, -PD1, -BTLA or -CD80.

Publication Title

Convergent and divergent effects of costimulatory molecules in conventional and regulatory CD4+ T cells.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP045678
Heritable variation of mRNA decay rates in yeast
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Gene expression levels are determined by the balance between rates of mRNA transcription and decay, and genetic variation in either of these processes can result in heritable differences in transcript abundance. Although the genetics of gene expression has been the subject of intense interest, the contribution of heritable variation in mRNA decay rates to gene expression variation has received far less attention. To this end, we developed a novel statistical framework and measured allele-specific differences in mRNA decay rates in a diploid yeast hybrid created by mating two genetically diverse parental strains. In total, we estimate that 31% of genes exhibit allelic differences in mRNA decay rate, of which 350 can be identified at a false discovery rate of 10%. Genes with significant allele-specific differences in mRNA decay rate have higher levels of polymorphism compared to other genes, with all gene regions contributing to allelic differences in mRNA decay rate. Strikingly, we find widespread evidence for compensatory evolution, such that variants influencing transcriptional initiation and decay having opposite effects, suggesting steady-state gene expression levels are subject to pervasive stabilizing selection. Our results demonstrate that heritable differences in mRNA decay rates are widespread, and are an important target for natural selection to maintain or fine-tune steady-state gene expression levels. Overall design: We measured rates of allele-specific mRNA decay (ASD) in a diploid yeast produced by mating two genetically diverse haploid Saccharomyces cerevisiae strains: the laboratory strain BY4716 (BY), which is isogenic to the reference sequence strain S288C, and the wild Californian vineyard strain RM11-1a (RM). Briefly, we introduced rpb1-1, a temperature sensitive mutation in an RNA polymerase II subunit, to each of the haploid yeast strains, mated the strains, and grew the resulting hybrid diploid to mid-log phase at 24 °C, before rapidly shifting the culture to 37 °C to inhibit transcription. RNA-seq was performed on culture samples taken at 0, 6, 12, 18, 24, and 42 minutes subsequent to the temperature shift. To identify ASD, we used transcribed polymorphisms to distinguish between parental transcripts, and compared the relative levels of transcript abundance over the time course. Note, this experimental design internally controls for trans-acting regulatory variation as well as environmental factors. Under the null hypothesis of no ASD, the proportion of reads from the BY transcript (p_BY = N_BY / (N_BY + N_RM)) observed over the time course remains unchanged. However, genes with ASD will exhibit an increasing or decreasing proportion of BY reads as a function of time. In total, we measured ASD from three independent biological replicates.

Publication Title

Heritable variation of mRNA decay rates in yeast.

Sample Metadata Fields

Disease, Cell line, 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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