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accession-icon SRP108766
Pancreatic gene expression during recovery after pancreatitis reveals unique transcriptome profiles
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Histological resolution of the murine pancreas occurs within one week after injury. Whether histological resolution constitutes pancreatic recovery at a molecular level is not known. We performed RNA-sequencing on the recovering pancreas to determine the transcriptomic profile within the histologically recovered pancreas. We show that although there is histological resolution one week after injury in mice, compared to baseline (non-injured pancreas), there are still numerous differentially expressed genes (DEGs) at one and even two weeks after injury. Overall, the findings suggest the actual recovery takes longer than initially thought given the differential transcriptomic profile in the pancreas two weeks after injury compared to the baseline pancreas. There is also the possibility of a novel emerging pancreatic transcriptome upon recovery. Overall design: Acute pancreatitis was induced by caerulein hyperstimulation in both male and female C57BL/6 mice. Total RNA was extracted from the head of the murine pancreas in mice at baseline (non-injured; n=8), day 7 (post-injury; n=8), and day 14 (post-injury; n=7). Total stranded RNA libraries (ribo-depleted) were generated and sequenced on the Illumina NextSeq 500 NGS platform. RNA-seq data was analyzed for differentially expressed genes between baseline and day 7 and between baseline and day 14.

Publication Title

Pancreatic gene expression during recovery after pancreatitis reveals unique transcriptome profiles.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon GSE23602
Analysis of cohesin-dependent gene regulation in fission yeast
  • organism-icon Schizosaccharomyces pombe
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

In addition to its well-know function in chromosome segregation, increasing evidence implicates cohesin in the control of gene expression. It has been previously reported that inactivation of the cohesin loader Mis4 in G1-arrested cells leads to the dissociation of cohesin from chromatin. We exploited this experimental situation to ask whether this loss of cohesin would affect gene expression on a genome-wide scale.

Publication Title

Role for cohesin in the formation of a heterochromatic domain at fission yeast subtelomeres.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE33728
Melanoma cell culture phenotypes
  • organism-icon Homo sapiens
  • sample-icon 15 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

Systematic classification of melanoma cells by phenotype-specific gene expression mapping.

Sample Metadata Fields

Cell line

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accession-icon GSE11636
Correlating global gene regulation to morphogenesis and maturation in the chick extra-embryonic vascular system
  • organism-icon Gallus gallus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Chicken Genome Array (chicken)

Description

Formation of blood vessels requires the concerted regulation of an unknown number of genes in a spatial-, time- and dosage-dependent manner. We investigated vascular development in vivo by determining global gene regulation throughout the formation of the chick chorio-allantoic membrane (CAM). Our study provides a comprehensive molecular map of vascular maturation during developmental angiogenesis and might thus be a valuable resource to streamline further research of candidates susceptible to mediate pathological angiogenesis.

Publication Title

Correlating global gene regulation to angiogenesis in the developing chick extra-embryonic vascular system.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE14587
Genes induced by VEGF on the chick CAM after 24h
  • organism-icon Gallus gallus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Chicken Genome Array (chicken)

Description

We determined gene expression profiles which were induced in the chick chorio-allantoic membrane 24 h after application of recombinant human VEGF.

Publication Title

Impaired angiogenesis and tumor development by inhibition of the mitotic kinesin Eg5.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE50568
Expression data from N/Tert-HPV E6 cells in the presence and absence of mitomycin C treatment
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

HPV E6 from the genus alpha 'high risk' types such as HPV16 recruit the ubiquitin ligase E6AP to ubiquitinate p53 and target it for proteasome-mediated degradation. This results in the functional inactivation of p53 in HPV16-E6 expressing cells.

Publication Title

Genus beta human papillomavirus E6 proteins vary in their effects on the transactivation of p53 target genes.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE62064
Radial glia require PDGFD/PDGFRB signaling in human but not mouse neocortex
  • organism-icon Homo sapiens
  • sample-icon 87 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Analysis of gene expression over serial 150um sections of a single gestational week 14.5 human neocortical specimen. The hypothesis tested with this dataset was that a transcriptional signature of radial glia (neural stem cells) could be isolated via unsupervised gene coexpression analysis due to variation in the abundance of this cell type from section to section. This dataset is the first of its kind generated using this method (Gene Coexpression Analysis of Serial Sections, or GCASS).

Publication Title

Radial glia require PDGFD-PDGFRβ signalling in human but not mouse neocortex.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE146093
Epigenomic and transcriptomic analysis of Systemic Sclerosis CD4+ T cells
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon Affymetrix Clariom S Human array (clariomshuman), Infinium MethylationEPIC

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Epigenomics and transcriptomics of systemic sclerosis CD4+ T cells reveal long-range dysregulation of key inflammatory pathways mediated by disease-associated susceptibility loci.

Sample Metadata Fields

Sex, Subject

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accession-icon GSE146088
Epigenomic and transcriptomic analysis of Systemic Sclerosis CD4+ T cells [Affymetrix]
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon Affymetrix Clariom S Human array (clariomshuman)

Description

Epigenomic and transcriptomic analysis of Systemic Sclerosis CD4+ T cells reveals long range dysregulation of key inflammatory pathways mediated by disease-associated susceptibility loci range dysregulation of key inflammatory pathways mediated by disease-associated

Publication Title

Epigenomics and transcriptomics of systemic sclerosis CD4+ T cells reveal long-range dysregulation of key inflammatory pathways mediated by disease-associated susceptibility loci.

Sample Metadata Fields

Sex, Subject

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accession-icon GSE37859
Compare gene expression profiles of mouse iNSC, WT-NSC, and MEF
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The iNSC cells are two clones generated from the same MEF line. Therefore, we conducted one analysis that compared the two clonal lines and a separate analysis that compared iNSC vs. NSC, iNSC vs. MEF, and NSC vs. MEF. Both were single factor ANOVAs, the first compared two

Publication Title

Direct reprogramming of mouse and human fibroblasts into multipotent neural stem cells with a single factor.

Sample Metadata Fields

Specimen part

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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)

fund-icon Fund the CCDL

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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