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accession-icon SRP182110
Oocyte-specific deletion of Mitofusin1 causes female infertility and accelerated follicular depletion
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We performed RNAseq analysis to determine the effect of MFN1 deletion on oocyte global gene expression profile. RNAseq revealed a total of 982 genes were significantly differentially expressed (p<0.05) in Mfn1-/- oocytes compared to WT (654 up-regulated and 337 down-regulated). Pathway analysis indicated significant over-representation of elements involved in regulation of ceramide biosynthesis, death receptor signaling and adherens junction signaling. Differential expression of these genes (Bad, G2e3, Cdh17 and Myh2) was also confirmed by qRT-PCR.Our findings provide new insight into the role of MFN1 in the oocytes, and may help understand the potential mechanism of infertility and reproductive aging associated with MFN1-deficiency. Overall design: Secondary follicle-enclosed oocytes were collected from 8-week-old Mfn1-/- and WT mice (n=3 for each group) and 5 oocytes from each group were pooled for RNA sequencing analysis.

Publication Title

Mitofusin 1 is required for female fertility and to maintain ovarian follicular reserve.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE39596
Naive CD4+ T cell activation transcriptome
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 36 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

CD28-inducible transcription factor DEC1 is required for efficient autoreactive CD4+ T cell response.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE39594
Human naive CD4+ T cell activation transcriptome
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarrays to detail the global gene transcription underlying T cells activation during the first 24 hours after stimulation.

Publication Title

CD28-inducible transcription factor DEC1 is required for efficient autoreactive CD4+ T cell response.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE39595
Role of Dec1 transcription factor in naive CD4+ T cell activation transcriptome
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarrays to detail the global gene transcription effect of Dec1 underlying T cells activation during the first 24 hours after stimulation.

Publication Title

CD28-inducible transcription factor DEC1 is required for efficient autoreactive CD4+ T cell response.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE107458
Evolutionary routes and KRAS dosage define pancreatic cancer phenotypes
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Evolutionary routes and KRAS dosage define pancreatic cancer phenotypes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE107446
Evolutionary routes and KRAS dosage define pancreatic cancer phenotypes [expression]
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Primary cell cultures were isolated from KrasG12D-driven, PiggyBac transposon-transposase pancreatic cancer cell cultures and subjected to microarray-based expression profiling for the investigation of expression profiles.

Publication Title

Evolutionary routes and KRAS dosage define pancreatic cancer phenotypes.

Sample Metadata Fields

No sample metadata fields

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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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