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accession-icon GSE24070
PACAP and TNF regulate discrete population of genes in bovine chromaffin cells
  • organism-icon Bos taurus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

The bovine chromaffin cell (BCC) is a unique modela highly homogeneous and accessible neuroendocrine cellin which to study gene regulation through first messenger-initiated signaling pathways that are specific to post-mitotic cells. BCCs were treated with tumor necrosis factor (TNF) or pituitary adenylate cyclase activating polypeptide (PACAP), two critical regulators of neural cell transcriptional programming during inflammation that act on TNFR2 and PAC1 receptors, respectively, in post-mitotic neuroendocrine cells. Transcripts which were significantly up regulated by either or both first messenger were identified from microarray analysis using two bovine oligonucleotide arrays (Affymetrix and Agilent) followed by statistical analysis with Partek Genomic suite. Microarray data were combined from the two arrays using qRT-PCR sampling validation, and the first-messenger transcriptome derived from TNF and PACAP signaling were compared. More than 90 percent of the genes up regulated either by TNF or PACAP were specific to a single first messenger. BioBase suite, DIRE and Opossum were used to identify common promoter/enhancer response elements that control the expression of TNF- or PACAP-stimulated genes. Bioinformatic analysis revealed that distinct groups of transcription factors control the expression of genes up regulated by either TNF or PACAP . Most of the genes up regulated by TNF contained response elements for members of the Rel transcription factor family, suggesting TNF-TNFR2 signaling mainly through the NF-kB signaling pathway. On the other hand, the PACAP regulated genes showed no enrichment for any single response element, containing instead response elements for combinations of transcription factors allowing activation through multiple signaling pathways, including cAMP, calcium and ERK, in neuroendocrine cells. Pharmacological strategies for mimicking neuroprotection by either PACAP or TNF in the context of CNS injury or degeneration in disease might focus on individual downstream gene activation pathways to achieve greater specificity in vivo.

Publication Title

Neuropeptides, growth factors, and cytokines: a cohort of informational molecules whose expression is up-regulated by the stress-associated slow transmitter PACAP in chromaffin cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE39888
Expression data from ADORA1 knockout and ADORA1 APOE double-knockout mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The goal of this study is to determine whether A1 adenosine receptor (ADORA1) plays a role in atherosclerosis development and its possible mechanisms. This dataset compares gene expression (aortas) of ADORA1 knockout mice to ADORA1+APOE double-knockout mice.

Publication Title

A₁ adenosine receptor deficiency or inhibition reduces atherosclerotic lesions in apolipoprotein E deficient mice.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP045088
RNAseq analysis of the global bovine retinal transcriptome
  • organism-icon Bos taurus
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HiScanSQ

Description

We report RNAseq analysis of the transcriptome of 3 biological replicates of bovine retina Overall design: Examine retinal transcriptome of 3 biological replicates with tissue collected between 7:00 - 10:00AM

Publication Title

Argonaute high-throughput sequencing of RNAs isolated by cross-linking immunoprecipitation reveals a snapshot of miRNA gene regulation in the mammalian retina.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE65663
A comparison of physiological and transcriptome responses to water deprivation and salt loading in the rat supraoptic nucleus
  • organism-icon Rattus norvegicus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Salt loading (SL) and water deprivation (WD) are experimental challenges that are often used to study the osmotic circuitry of the brain. Central to this circuit is the supraoptic nucleus (SON) of the hypothalamus, which is responsible for the biosynthesis of the hormones, vasopressin (AVP) and oxytocin (OXT), and their transport to terminals that reside in the posterior lobe of the pituitary. Upon osmotic challenge evoked by a change in blood volume or osmolality, the SON undergoes a function related plasticity that creates an environment that allows for an appropriate hormone response. Here, we have described the impact of SL and WD compared to euhydrated (EU) controls in terms of drinking and eating behaviour, body weight and recorded physiological data including circulating hormone data and plasma and urine osmolality. We have also used microarrays to profile the transcriptome of the SON following SL

Publication Title

A comparison of physiological and transcriptome responses to water deprivation and salt loading in the rat supraoptic nucleus.

Sample Metadata Fields

Specimen part

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accession-icon SRP013610
RNA-Seq of eye tissues from A/J, BALB/c, and C57BL/6 background mice
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

We report RNA-Seq experiments of whole eye tissues from A/J, BALB/c, and C57BL/6 background mice. Overall design: Examine ocular tissue from 3 different background mice that display varying rates of retinal degeneration.

Publication Title

Transcriptome analysis reveals rod/cone photoreceptor specific signatures across mammalian retinas.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

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accession-icon SRP080001
RNA-Seq of tissues from Mouse eye and retina samples
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

We report RNA-Seq experiments of eye and retinal tissues from WT and RHO KO mice Overall design: Examine ocular tissue from different mouse genotypes

Publication Title

Transcriptome analysis reveals rod/cone photoreceptor specific signatures across mammalian retinas.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP027541
RNA-Seq of eye tissues from C57BL/6J background mice at 1.5 h and 9.0 h after light onset
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

We report RNA-Seq experiments of whole eye tissues from C57BL/6J background mice at 1.5 h and 9.0 h after light onset to better understand photoreceptor phagocytosis Overall design: Examine ocular tissue from mice at different time points

Publication Title

Transcriptome analysis reveals rod/cone photoreceptor specific signatures across mammalian retinas.

Sample Metadata Fields

Specimen part, Cell line, Subject, Time

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accession-icon SRP125125
RNA-Seq profiling of 29 immune cell types and peripheral blood mononuclear cells
  • organism-icon Homo sapiens
  • sample-icon 122 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We performed RNA-Seq transcriptome profiling on 29 immune cell types consituting peripheral blood mononuclear cells (PBMCs) sorted from 4 Singaporean-Chinese individuals (S4 cohort). We also performed RNA-Seq and microarray transcriptome profiling of PBMCs from an extended cohort of 13 individuals (S13 cohort). The data was used first to characterize the transcriptomic signatures and relationships among the 29 immune cell types. Then we explored the difference in mRNA composition in terms of transcripts proportions and abundance. Lastly, we performed deep deconvolution for both microarray and RNA-Seq technologies. Overall design: Total RNA of 29 immune cell types (from 4 individuals) and peripheral blood mononuclear cells (PBMCs, from 13 individuals) was extracted for gene expression profiling. The 13 PBMCs samples were processed with both microarray and RNA-Seq platforms.

Publication Title

RNA-Seq Signatures Normalized by mRNA Abundance Allow Absolute Deconvolution of Human Immune Cell Types.

Sample Metadata Fields

Sex, Specimen part, Disease, Subject

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accession-icon SRP038970
small RNAseq analysis of the global retinal transcriptome of rod photoreceptor-specific Dicer1 conditional knockout mice and control littermates
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We report RNAseq analysis of the transcriptome of retinas from mature rod-specific Dicer1 cKO mice and control littermates lacking Cre expression in order to better understand changes in gene regulation that could lead to retinal degeneration in cKO mice. Overall design: Examine retinal transcriptome of 3 biological replicates for each genotype from 4-week-old animals with tissue collected between 8:00 - 10:00AM

Publication Title

DICER1 is essential for survival of postmitotic rod photoreceptor cells in mice.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP038971
RNAseq analysis of the global retinal transcriptome of rod photoreceptor-specific Dicer1 conditional knockout mice and control littermates
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiScanSQ

Description

We report RNAseq analysis of the transcriptome of retinas from mature rod-specific Dicer1 cKO mice and control littermates lacking Cre expression in order to better understand changes in gene regulation that could lead to retinal degeneration in cKO mice. Overall design: Examine retinal transcriptome of 3 biological replicates for each genotype from 4-week-old animals with tissue collected between 8:00 - 10:00AM

Publication Title

DICER1 is essential for survival of postmitotic rod photoreceptor cells in mice.

Sample Metadata Fields

No sample metadata fields

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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