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accession-icon GSE66387
Microarray analysis of differentially expressed genes in ovarian and fallopian tube epithelium from risk-reducing salpingo-oophorectomies
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Mutations in BRCA1 and BRCA2 genes confer an increased lifetime risk for breast and ovarian cancer. Ovarian cancer risk can be decreased by risk-reducing salpingo-oophorectomy (RRSO). Studies on RRSO material have altered the paradigm of serous ovarian cancer pathogenesis.

Publication Title

Microarray analysis of differentially expressed genes in ovarian and fallopian tube epithelium from risk-reducing salpingo-oophorectomies.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE55203
Gene expression changes in brain vascularture in Notch3 knockout mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Vascular smooth muscle cells (VSMC) are important for contraction, blood flow distribution and regulation of blood vessel diameter, but to what extent they contribute to the integrity of blood vessels and blood-brain barrier function is less well understood. In this report, we explored the impact of the progressive loss of VSMC in the Notch3-/- mouse on blood vessel integrity in the central nervous system

Publication Title

Notch3 is necessary for blood vessel integrity in the central nervous system.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP144201
Brain vascular transcriptomes of mouse hyperglycemia mutants and controls
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose:To take a comprehensive effort in characterizing the brain vasculature gene expression upon hyperglycemia. Methods: We extracted mRNA from brain microvasculature fragments isolated from a genetic mouse model of hyperglycemia (Ins2-AKITA) and WT mice and analyzed their transcriptome with RNA sequencing The samples were sequenced on an Illumina HiSeq 2500 sequencer at the SNP&SEQ sequencing facility (Science for Life laboratory (SciLifeLab), Uppsala sequencing node). The reads were aligned to the Ensembl mouse gene assembly (NCBIM37) using Tophat2 software (version 2.0.4). The duplicated reads were removed using the picard tool (version 1.92). To identify the genes significantly enriched in the pericyte samples as compared with microvascular samples, statistical tests were performed using the Cufflinks tool (version 2.2.1) Results: Twenty-three genes were significantly regulated in mutant when compared to WT (False Discovery Rate < 0.05) Overall design: The microvascular RNA from two male heterozygous Ins2-AKITA mice and three littermate wild-type controls were processed and sequenced on the Illumina HiSeq 2500 platform in the sequencing facility in Uppsala University.

Publication Title

Prolonged systemic hyperglycemia does not cause pericyte loss and permeability at the mouse blood-brain barrier.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon SRP108034
Single cell RNA-seq of mouse brain astrocyte transcriptomes
  • organism-icon Mus musculus
  • sample-icon 250 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

By analyzing 250 astrocyte single cell transcriptomes from adult brain, we provide gene expresssion profile of brain astrocyte Overall design: We chose adult mice about 3 months old and analysed single cells in the brain. We chose a methodology based on fluorescence-activated cell sorting (FACS) into 384-well plates followed by the SmartSeq2 methodology.

Publication Title

Single-cell RNA sequencing of mouse brain and lung vascular and vessel-associated cell types.

Sample Metadata Fields

Specimen part, Cell line, Subject

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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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