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accession-icon GSE57386
Gene expression of biopsies, CD14+ and CD14- cells from RA, PsA and PsO patients with Infliximab treatment
  • organism-icon Homo sapiens
  • sample-icon 251 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Divergent gene activation in peripheral blood and tissues of patients with rheumatoid arthritis, psoriatic arthritis and psoriasis following infliximab therapy.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Time

View Samples
accession-icon GSE57383
Gene expression of CD14+ cells from RA, PsA and PsO patients with Infliximab treatment
  • organism-icon Homo sapiens
  • sample-icon 111 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

objection: The immune inflammatory disorders rheumatoid arthritis (RA), psoriatic arthritis (PsA) and psoriasis (Ps) share common pathologic features and show responsiveness to anti-tumor necrosis factor (TNF) agents yet they are phenotypically distinct. The aim of this study was to examine if anti-TNF therapy is associated with divergent gene expression profiles in circulating cells and target tissues of patients with these diseases

Publication Title

Divergent gene activation in peripheral blood and tissues of patients with rheumatoid arthritis, psoriatic arthritis and psoriasis following infliximab therapy.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Time

View Samples
accession-icon GSE57405
Gene expression of CD14- cells from RA, PsA and PsO patients with Infliximab treatment
  • organism-icon Homo sapiens
  • sample-icon 109 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

objection: The immune inflammatory disorders rheumatoid arthritis (RA), psoriatic arthritis (PsA) and psoriasis (Ps) share common pathologic features and show responsiveness to anti-tumor necrosis factor (TNF) agents yet they are phenotypically distinct. The aim of this study was to examine if anti-TNF therapy is associated with divergent gene expression profiles in circulating cells and target tissues of patients with these diseases

Publication Title

Divergent gene activation in peripheral blood and tissues of patients with rheumatoid arthritis, psoriatic arthritis and psoriasis following infliximab therapy.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Time

View Samples
accession-icon GSE57376
Synovial biopsies from RA and PsA patients and skin biopsies from Psoriasis patients under Infliximab treatment
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Object: to understand Infliximab treatment effect on the molecular expression of tissue at disease site

Publication Title

Divergent gene activation in peripheral blood and tissues of patients with rheumatoid arthritis, psoriatic arthritis and psoriasis following infliximab therapy.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Time

View Samples
accession-icon E-MEXP-867
Transcription profiling by array of mouse pancreatic beta cells after treatment with glucose
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

To identify proteins regulated by glucose through changes in their rate of protein synthesis, translational profiling of MIN6 cells acutely incubated at either low or high glucose concentration was performed (i.e. microarray analysis was performed on mRNAs associated with polysomes, as an increase in the association of mRNA with polysomes is indicative of an increase in the rate of initiation step of translation and hence an increase in protein expression) (Johannes et al., 1999; Mikulits et al., 2000).

Publication Title

Distinct glucose-dependent stress responses revealed by translational profiling in pancreatic beta-cells.

Sample Metadata Fields

Specimen part, Cell line, Compound, Time

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accession-icon GSE94794
Transcriptome analysis of the endometrium, placenta, and liver in lactating and non-lactating dairy cows
  • organism-icon Bos taurus
  • sample-icon 159 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Infertility in lactating dairy cows is explained partially by the metabolic state associated with high milk production. The hypothesis was that lactating and non-lactating cows would differ in endometrial and placental transcriptomes during early pregnancy (day 28 to 42) and this difference would explain the predisposition for lactating cows to have embryonic loss at that time. Cows were either milked or not milked after calving. Reproductive [endometrium (caruncular and intercarunclar) and placenta] and liver tissues were collected on day 28, 35, and 42 of pregnancy. The primary hypothesis was rejected because no effect of lactation on mRNA abundance within reproductive tissues was found. Large differences within liver demonstrated the utility of the model to test an effect of lactation on tissue gene expression. Major changes in gene expression in reproductive tissues across time were found. Greater activation of the transcriptome for the recruitment and activation of macrophages was found in the endometrium and placenta. Changes in glucose metabolism between day 28 and 42 included greater mRNA abundance of rate-limiting genes for gluconeogenesis in intercaruncular endometrium and evidence for the establishment of aerobic glycolysis (Warburg effect) in the placenta. Temporal changes were predicted to be controlled by CSF1, PDGFB, and JUN. Production of nitric oxide and reactive oxygen species by macrophages was a mechanism to promote angiogenesis in the endometrium. Reported differences in pregnancy development for lactating versus non-lactating cows could be explained by systemic glucose availability to the conceptus and appear to be independent of the endometrial and placental transcriptomes.

Publication Title

The transcriptome of the endometrium and placenta is associated with pregnancy development but not lactation status in dairy cows.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP151113
Osterix functions downstream of anti-Mu¨llerian hormone signaling to regulate Mu¨llerian duct regression
  • organism-icon Mus musculus
  • sample-icon 55 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The goal of this study was to identify potential AMH-induced genes and regulatory networks controlling regression by RNA-Seq transcriptome analysis of differences in Müllerian Duct mesenchyme between males (AMH signaling on) and females (AMH signaling off) in purified fetal Müllerian Duct mesenchymal cells. This analysis found 82 genes up-regulated in males during MD regression and identified Osterix (Osx)/Sp7, a key transcriptional regulator of osteoblast differentiation and bone formation, as a novel downstream effector of AMH signaling during MD regression. Overall design: Müllerian Duct mesenchymal cells mRNA profiles from 2-7 embryonic day 14.5 embryos were generated by deep sequencing, in triplicate, using Illumina HiSeq 2000.

Publication Title

<i>Osterix</i> functions downstream of anti-Müllerian hormone signaling to regulate Müllerian duct regression.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

View Samples
accession-icon GSE10670
Global expression profiling of wild type and transgenic Arabidopsis plants in response to water stress
  • organism-icon Arabidopsis thaliana
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Transgenic Arabidopsis plants with constitutively low inositol (1,4,5) triphosphate exhibit an increased tolerance to water stress by an ABA-independent pathway

Publication Title

Transgenic Arabidopsis plants expressing the type 1 inositol 5-phosphatase exhibit increased drought tolerance and altered abscisic acid signaling.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE139870
Comparison of MPA regulated gene expression profiles to those regulated by PROG, DHT, DEX
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Medroxyprogesterone acetate (MPA) is a progestin that can bind to and activate progesterone, androgen and glucocorticoid receptors. However, it is not known which receptor mediates MPA action in a cellular context where all three of these receptors are co-expressed and functional.

Publication Title

Anti-proliferative transcriptional effects of medroxyprogesterone acetate in estrogen receptor positive breast cancer cells are predominantly mediated by the progesterone receptor.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE48261
Gene expression in mouse hematopoietic stem and multi-potent progenitor cells with temporally defined divisional histories
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Homeostatic hematopoietice stem cells (HSCs) with greater divisional history lose repopulating potential after very few cell divisions. Divisional history overrides both phenotype and immediate quiescence in determining functional activity. In GFP label retaining system GFP is progressively diluted when cells proceed through a cascade of divisions.

Publication Title

Divisional history and hematopoietic stem cell function during homeostasis.

Sample Metadata Fields

Specimen part

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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