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accession-icon GSE3644
Effects of caerulein on Mist1KO pancreas
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Mouse pancreas from wild type and MistKO animals were induced either with caerulein or saline as control and processed for RNA. Targets from three biological replicates of each were generated and the expression profiles were determined using Affymetrix Mouse Expression chips 430. Comparisons between the sample groups allow the identification of genes with differential expression patterns of genes which might contribute to pancreatitis.

Publication Title

Mice lacking the transcription factor Mist1 exhibit an altered stress response and increased sensitivity to caerulein-induced pancreatitis.

Sample Metadata Fields

No sample metadata fields

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accession-icon E-MTAB-78
Transcription profiling of yeast grown in a three-factor design to study the relationship between specific growth rate and genome-wide gene expression
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

A three-factor design was applied to study the relationship between specific growth rate and genome-wide gene expression in 36 steady-state chemostat cultures of Saccharomyces cerevisiae.

Publication Title

Transcription factor control of growth rate dependent genes in Saccharomyces cerevisiae: a three factor design.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP081083
Discovering the miR-26a/targetome in prostate cancer cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

In this work, we showed that the re-expression of miR-26a in DU-145 prostate cancer cells restored the tumor suppressor activity of miR-26a. To discover the genes and pathways elicited by miR-26a re-expression, we used the miRNA pull out assay to capture and the Next Generation Sequencing to identify the miR-26a targets. Data showed that: i) miR-26a captured both non-coding and coding RNAs; ii) 46% of transcripts were putative miR-26a targets according to target prediction algorithms; iii) 21 pathways were significantly enriched and the “Pathway in Cancer” was among those comprising the largest number of genes, including BIRC5 that we experimentally validated. Accordingly, the detection of cell proliferation-related events showed that miR-26a exerted its tumor suppressor activity at several levels, by decreasing the survival, impairing the migration of tumor cells and by inducing both apoptosis and cell cycle block. In conclusion, we showed that the collection of miR-26a interacting transcripts (miR-26a/targetome) represented a fruitful platform to decipher the miR-26a-dependent gene expression networks. In perspective the availability of miRNA-specific and tumor-specific targetomes will allow the discovery of new druggable tumor genes and pathways. Overall design: The miRNA pull out assay was performed modifying the protocol described by Orom et al. {Methods 43, 162-165, doi:S1046-2023(07)00097-7}. DU-145 were seeded into the wells of a 6-well at the density of 1.5 x105. After 24 hours from seeding, cells were transfected using lipofectamine (Thermo Fisher) with 60nM of either miR-26a duplex (ds-miR-26aCT) or a mix of 3' biotin-tagged miR-26a 7tU (nucleotide 7 was a thiouridine) and miR-26a 17tU duplexes (ds-miR-26aBIO). The day after transfection, the cells were washed with PBS and irradiated with UV (365nm, 2J/cm2), using the Bio-Link crosslinking (BLX) (Ambrose Lourmat) with appropriate UV lamps, to induce cross-linking of tU nucleotides to RNA. Total RNA was extracted adding directly on adherent cells TRIzol reagent (Thermo Fisher) and following the instructions provided by the manufacturer. After DNAse treatment, 15 µg of RNA was incubated for 4 hrs at 4°C with 100 µl of streptavidin-conjugated beads (200 µl of Streptavidin Sepharose high performance, GE Healthcare) previously suspended in PO buffer (1M Tris pH8, 5M NaCl, 1M MgCl2, NP40 50 µl in 100 ml buffer). After 2 washes with PO buffer and 2 washes with DEPC-treated water, the RNA complexed with beads was recovered by adding 1 ml Trizol directly on the beads and then following the TRIzol RNA extraction protocol. We performed two biological replicates obtaining two miR-26aCT (control) and two miR-26aBIO (miR-26a) pull out samples. The RNA isolated after the miRNA pullout procedure from both miR-26aCT and miR-26aBIO samples was used for the construction of the cDNA libraries using the TruSeq Stranded Total RNA Sample Preparation kit (Illumina) according to the manufacturer's suggestions. cDNA libraries were sequenced by HiSeq2000 (Illumina) in single-reads mode (50bp) by IGA Technology Service, Udine, Italy, obtaining about 20 million of reads for each samples.

Publication Title

Discovering the miR-26a-5p Targetome in Prostate Cancer Cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE79266
Gene expression in colorectal liver metastasis tissues from EPA-treated patients
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Eicosapentaenoic acid in its free fatty acid form (EPA-FFA), 2g daily, is safe and well-tolerated in patients undergoing liver resection surgery for colorectal liver metastasis.Oral EPA incorporates into colorectal liver metastasis tissue. EPA-FFA treatment is associated with reduced vascularity of liver metastases in -3 PUFA-nave patients. Preoperative (median 30 days) EPA-FFA treatment may have prolonged benefit on postoperative overall and disease-free survival.

Publication Title

Anticolorectal cancer activity of the omega-3 polyunsaturated fatty acid eicosapentaenoic acid.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE43069
MLL-AF6 leukemia
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 4 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

Leukemic transformation by the MLL-AF6 fusion oncogene requires the H3K79 methyltransferase Dot1l.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Cell line

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accession-icon GSE43067
Expression data from MLL-AF6 positive leukemia cells
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The MLL gene on chromosome 11 fuses to the AF6 gene on chromosome 6 in a balanced chromosomal translocation that is characetristic of certain adult and pediatric human leukemias. We established a murine leukemia model of MLL-AF6 using the retroviral MLL-AF6 contruct in a bone marrow transplantation system.

Publication Title

Leukemic transformation by the MLL-AF6 fusion oncogene requires the H3K79 methyltransferase Dot1l.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE43068
Expression data from a human MLL-AF6 positive AML cell line
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The MLL gene on chromosome 11 fuses to the AF6 gene on chromosome 6 in a balanced chromosomal translocation that is characetristic of certain adult and pediatric human leukemias. We established a murine leukemia model of MLL-AF6 using the retroviral MLL-AF6 contruct in a bone marrow transplantation system.

Publication Title

Leukemic transformation by the MLL-AF6 fusion oncogene requires the H3K79 methyltransferase Dot1l.

Sample Metadata Fields

Disease, Disease stage, Cell line

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accession-icon GSE37324
Analysis of Gene Expression and Cytokine Release Profiles Reveals the Inter-depot and Intra-depot Genetic and Functional Heterogeneity of Human Adipose Tissue-Derived Stem Cells
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Differences in the inherent properties of undifferentiated fat cell progenitors may contribute to the biological specificity of the abdominal subcutaneous (Sc) and visceral omental (V) fat depots. In this study, the biological characteristics of three distinct subpopulations of adipose tissue-derived stem cells (ASC), i.e. ASCSVF, ASCBottom and ASCCeiling isolated from Sc and V adipose tissue biopsies of non-obese subjects, were investigated. Genome-wide differential gene expression analysis followed by quantitative RT-PCR and analysis of cytokines in the ASC-derived conditioned medium were performed. By analysis of 28,869 annotated genes, 1,019 genes resulted differentially expressed between Sc-ASC and V-ASC. Within the Sc-ASC and V-ASC populations, 546 and 1,222, respectively, were the genes differentially expressed among ASCSVF, ASCBottom and ASCCeiling. A far more striking difference was found when the hierarchical clusters analysis was performed comparing each Sc-ASC with its own homologous V-ASC subset. mRNA levels of HoxA5, Tbx15, PI16, PITPNC1, FABP5, IL-6, IL-8, MCP-1, VEGF, MMP3, TFPI2, and ANXA10 were significantly different between Sc-ASC and V-ASC. Of the 27 cytokines measured, 14 (IL-2, IL-4, IL-5 IL-7, IL-9, IL-10, IL12, IL13, MIP1-, MIP1-, PDGF-, FGFbasic, GM-CSF, IP-10) were not released, whereas 13 were expressed (IL-1beta, IL-1ra, IL-15, IL-17, G-CSF, IFN, RANTES, TNF-, Eotaxin, IL-8, MCP-1, VEGF, IL-6), and of these, MCP-1, Eotaxin, IL-1ra, FGFbasic, IL-6, IL-8, G-CSF, and VEGF were significantly different among ASCSVF, ASCCeiling and ASCBottom of the two adipose tissue depots. These results demonstrate the existence of genetically and functionally heterogeneous fat-derived ASC populations, which may add to the complexity and specificity of Sc and V adipose tissue in humans.

Publication Title

Differences in gene expression and cytokine release profiles highlight the heterogeneity of distinct subsets of adipose tissue-derived stem cells in the subcutaneous and visceral adipose tissue in humans.

Sample Metadata Fields

Specimen part

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accession-icon SRP077671
Myc and YAP roles in the control of the cell cycle [3T9 RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNAseq analysis of YAP and Myc induced in quiescent and confluent 3T9 fibroblasts Overall design: RNAseq analysis of YAP and Myc induced in quiescent and confluent 3T9 fibroblasts

Publication Title

Transcriptional integration of mitogenic and mechanical signals by Myc and YAP.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE79547
Specific expression of microRNAs and snoRNAs characterize ERG-related B cell precursor acute lymphoblastic leukemia
  • organism-icon Homo sapiens
  • sample-icon 163 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

High expression of miR-125b-2 and SNORD116 noncoding RNA clusters characterize ERG-related B cell precursor acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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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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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