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accession-icon GSE30153
B cell signature during inactive systemic lupus
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Systemic lupus erythematosous (SLE) is an autoimmune disease with an important clinical and biological heterogeneity. B lymphocytes appear central to the development of SLE which is characterized by the production of a large variety of autoantibodies and hypergammaglobulinemia. In mice, immature B cells from spontaneous lupus prone animals are able to produce autoantibodies when transferred into immunodeficient mice, strongly suggesting the existence of intrinsic B cell defects during lupus. In order to approach these defects in humans, we compared the peripheral B cell transcriptomes of quiescent lupus patients to normal B cell transcriptomes.

Publication Title

B cell signature during inactive systemic lupus is heterogeneous: toward a biological dissection of lupus.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE21679
Gene signatures in wound tissue as evidenced by molecular profiling in the chicken embryo model
  • organism-icon Gallus gallus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Chicken Genome Array (chicken)

Description

Modern functional genomic approaches may help to better understand the molecular events involved in tissue morphogenesis and to identify molecular signatures and pathways. We have recently applied transcriptomic profiling to evidence molecular signatures in the development of the normal chicken chorioallantoic membrane and in tumor engrafted on the CAM. We have now extended our studies by performing a transcriptome analysis in the wound model of the chicken CAM which is another relevant model of tissue morphogenesis. To induce granulation tissue formation, we performed wounding of the chicken CAM and compared gene expression to normal CAM at the same stage of development. Matched control samples from the same individual were used. We observed a total of 282 genes up-regulated and 44 genes downregulated assuming a false-discovery rate at 5 % and a fold change > 2. Furthermore, bioinformatics analysis lead to the identification of several categories that are associated to organismal injury, tissue morphology, cellular movement, inflammatory disease, development and immune system. Endothelial cell data filtering leads to the identification of several new genes with an endothelial cell signature. In summary, the chick chorioallantoic wound model allows the identification of gene signatures involved in granulation tissue formation and neoangiogenesis. This may constitute a fertile ground for further studies.

Publication Title

Gene signatures in wound tissue as evidenced by molecular profiling in the chick embryo model.

Sample Metadata Fields

Specimen part

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accession-icon SRP159284
Small RNA-Seq reveals novel miRNAs shaping the transcriptomic identity of rat brain structures
  • organism-icon Rattus norvegicus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

In the central nervous system (CNS), the microRNAs (miRNAs), small endogenous RNAs exerting a negative post-transcriptional regulation on mRNAs, are involved in major functions, such as neurogenesis, and synaptic plasticity. Moreover, they are essential to define the specific transcriptome of the tissues and cell types. However, few studies were performed to determine the miRNome of the different structures of the rat CNS, even through rat is a major model in neuroscience. We determined the miRNome profile of the hippocampus, the cortex, the striatum, the spinal cord and the olfactory bulb, by small RNA-Seq. We found a total of 365 known miRNAs' and 90 novel miRNAs expressed in the CNS of the rat. Novel miRNAs seemed to be important in defining structure-specific miRNomes. Differential analysis showed that several miRNAs were specifically enriched/depleted in these CNS structures. Then, we correlated miRNAs' expression with the expression of their mRNA targets by mRNA-Seq. This analysis suggests that the transcriptomic identity of each structure is regulated by specific miRNAs. Altogether, these results suggest the critical role played by these enriched/depleted miRNAs in the functional identities of CNS structures. Overall design: miRNA and mRNA profile of 5 structures of the central nervous system of rat, for each structurewe analyzed three biological replicates

Publication Title

Small RNA-Seq reveals novel miRNAs shaping the transcriptomic identity of rat brain structures.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE143829
Hedgehog signaling pathway regulates gene expression profiling of epididymal principal cells through the primary cilium
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Clariom S Array (clariomsmouse)

Description

Background. Primary cilia (PC) are solitary antennae present at the cell surface. These non-motile cilia play an important role in organ development and tissue homeostasis through the transduction of the Hedgehog (Hh) signaling pathway. We recently revealed the presence of PC in the epithelium of the developing epididymis, an organ of the male reproductive system whose dysfunction triggers male infertility. Acknowledging that systemic blockade of the Hh pathway trigger epididymal dysfunctions in vivo, our main goals were 1) to portray the epididymal Hh environment, 2) to determine the direct responsiveness of epididymal epithelial cells to Hh, and 3) to define the contribution of PC to the transduction of this pathway. Results. The Hh ligands Indian and Sonic hedgehog (Ihh and Shh) were respectively located in principal and clear cells of the mouse epididymis by immunofluorescent staining. The propensity of epididymal principal cells to respond to Hh signaling was assessed on immortalized epididymal DC2 cells by western-blot, confocal imaging and 3D-reconstruction. Our results indicate that epididymal principal cells secrete Ihh and expose PC that co-localize with the conventional acetylated tubulin/Arl13b ciliary markers, as well as with GLI3 Hh signaling factor. Gene expression microarray profiling indicated that the expression of 43 and 248 genes was respectively and significantly modified following pharmacological treatment of DC2 cells with the Hh agonist SAG (250 nM) or the Hh antagonist cyclopamine (20 µM) compared with the control. Among Hh target genes identified, 6.7 % presented perfect matches for GLI-transcription factor consensus sequences, and the majority belonged to interferon-dependent immune response and lipocalin 2 pathways. Finally, the contribution of epididymal PC to the transduction of canonical Hh pathway was validated by ciliobrevinD treatment, which induced a significant decrease of PC length and the expressional reduction of Hh signalling targets. Conclusions. All together our data indicate that PC from epithelial principal cells regulate gene expression profile through a possible autocrine Hh signaling. This provides new hypotheses regarding the potential contribution of PC and Hh signaling in intercellular cross-talk and immunological regulation of the epididymis.

Publication Title

Hedgehog signaling pathway regulates gene expression profile of epididymal principal cells through the primary cilium.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP169611
Next generation sequencing of human hepatic stellate cell line, LX-2 treated with recombinant human TGF-ß1, with DMSO or ML290 (5 µM) for 72h.
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

The overall aim of this experiment was to identify specific genes and molecular pathways regulated by ML290, a small molecule agonist of the relaxin receptor, RXFP1, in the context of liver fibrosis. Overall design: Whole transcriptome mRNA sequencing of transformed LX-2 cells using HiSeq platforms with paired-end 150 bp (PE 150) sequencing strategy, with four biological replicates in each treatment group.

Publication Title

Therapeutic effects of a small molecule agonist of the relaxin receptor ML290 in liver fibrosis.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE58644
The prognostic ease and difficulty of invasive breast carcinoma
  • organism-icon Homo sapiens
  • sample-icon 319 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Breast carcinoma (BC) have been extensively profiled by high-throughput technologies for over a decade, and broadly speaking, these studies can be grouped into those that seek to identify patient subtypes (studies of heterogeneity) or those that seek to identify gene signatures with prognostic or predictive capacity. The shear number of reported signatures has led to speculation that everything is prognostic in BC. Here we show that this ubiquity is an apparition caused by a poor understanding of the inter- relatedness between subtype and the molecular determinants of prognosis. Our approach constructively shows how to avoid confounding due to a patient's subtype, clinicopathological or treatment profile. The approach identifies patients who are predicted to have good outcome at time of diagnosis by all available clinical and molecular markers, but who experience a distant metastasis within five years. These inherently difficult patients (~7% of BC) are prioritized for investigations of intra-tumoral heterogeneity.

Publication Title

The prognostic ease and difficulty of invasive breast carcinoma.

Sample Metadata Fields

Age, Disease stage, Time

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accession-icon GSE54852
Inferring causal metabolic signals that regulate the dynamic TORC1-dependent transcriptome
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Inferring causal metabolic signals that regulate the dynamic TORC1-dependent transcriptome.

Sample Metadata Fields

Treatment

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accession-icon GSE54850
Dynamic mRNA gene expression during a nutritional downshift from glutamine to proline
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Dynamic mRNA gene expression from the wildtype YSBN6 during a nutritional downshift from glutamine to proline. Glutamine and proline were initially together in the media, with cells consuming exlusively glutamine (proline utilization inhibited due to nitrogen catabolite repression). The concentration of glutamine was frequently evaluated at-line, and the moment at which glutamine was not detected anymore is referred to as the time of the shift.

Publication Title

Inferring causal metabolic signals that regulate the dynamic TORC1-dependent transcriptome.

Sample Metadata Fields

Treatment

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accession-icon GSE54851
Dynamic mRNA gene expression following a rapamycin treatment
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Dynamic mRNA gene expression from the wildtype YSBN6 during a rapamycin treatment (rapamycin-induced downshift). Rapamycin was added to yeast cells growing exponentially on glutamine as sole nitrogen source.

Publication Title

Inferring causal metabolic signals that regulate the dynamic TORC1-dependent transcriptome.

Sample Metadata Fields

Treatment

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accession-icon GSE54844
Dynamic mRNA gene expression during a nutritional upshift from proline to glutamine
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Dynamic mRNA gene expression from the wildtype YSBN6 during a nutritional upshift from proline to glutamine. Glutamine was added to yeast cells growing exponentially on proline as the sole nitrogen source.

Publication Title

Inferring causal metabolic signals that regulate the dynamic TORC1-dependent transcriptome.

Sample Metadata Fields

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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Developed by the Childhood Cancer Data Lab

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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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