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accession-icon GSE7548
Expression data from immunized B10.BR mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Mice were immunized with PCC (pigeon cytochrome c).

Publication Title

Lymphoid reservoirs of antigen-specific memory T helper cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE149525
Microarray analysis of Polyoma Small T expressing U2OS cell lines
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In order to understand which pathways are involved and what genes are affected when small T is expressed in mammalian cells, we carried out microarray analaysis in these cell lines

Publication Title

Polyomavirus Small T Antigen Induces Apoptosis in Mammalian Cells through the UNC5B Pathway in a PP2A-Dependent Manner.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE30129
AIRE-deficient CD8+CD28low regulatory T lymphocytes fail to control experimental colitis
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Mutations in the gene encoding the transcription factor AutoImmune REgulator (AIRE) are responsible for the Autoimmune PolyEndocrinopathy Candidiasis Ecodermal Dystrophy syndrome. AIRE directs expression of tissue restricted antigens in the thymic medulla and in lymph node stromal cells and thereby substantially contributes to induction of immunological tolerance to self-antigens. Data from experimental mouse models showed that AIRE-deficiency leads to impaired deletion of autospecific T cell precursors. However, a potential role for AIRE in the function of regulatory T cell populations, which are known to play a central role in prevention of immunopathology, has remained elusive. Regulatory T cells of CD8+CD28low phenotype efficiently control immune responses in experimental autoimmune and colitis models in mice. We here show that CD8+CD28low Treg from AIRE-deficient mice are transcriptionally and phenotypically normal, exert efficient suppression of in vitro immune responses, but completely fail to prevent experimental colitis in vivo. Our data therefore demonstrate that AIRE plays an important role in the in vivo function of a naturally occurring regulatory T cell population.

Publication Title

Autoimmune regulator (AIRE)-deficient CD8+CD28low regulatory T lymphocytes fail to control experimental colitis.

Sample Metadata Fields

Treatment

View Samples
accession-icon GSE138078
PRRX1 overexpression in MDA-MB-231 breast cancer cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

To investigate downstream targets of PRRX1, we used MDA-MB-231 (MDA231) breast cancer cells which express low level of PRRX1 to generate a stable cell line where human PRRX1 was ectopically overexpressed

Publication Title

A gene regulatory network to control EMT programs in development and disease.

Sample Metadata Fields

Specimen part

View Samples
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

View Samples
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

View Samples
accession-icon GSE67838
Identification of post-transcriptional regulatory networks during myeloblast-to-monocyte differentiation transition
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification of post-transcriptional regulatory networks during myeloblast-to-monocyte differentiation transition.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE67826
Identification of post-transcriptional regulatory networks during myeloblast-to-monocyte differentiation transition [mRNA]
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Treatment of leukemia cells with 1,25-dihydroxyvitamin D3 may overcome their differentiation block and lead to the transition from myeloblasts to monocytes. To identify microRNA-mRNA networks relevant for myeloid differentiation, we profiled the expression of mRNAs and microRNAs associated to the low- and high-density ribosomal fractions in leukemic cells and in their differentiated monocytic counterpart. Intersection between mRNAs shifted across the fractions after treatment with putative target genes of modulated microRNAs showed a series of molecular networks relevant for the monocyte cell fate determination

Publication Title

Identification of post-transcriptional regulatory networks during myeloblast-to-monocyte differentiation transition.

Sample Metadata Fields

Specimen part, Treatment

View Samples
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

View Samples
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

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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