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accession-icon GSE4623
gene expression profiling of NFIA deficient mice brain
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Background. Nuclear factor I-A (NFI-A), a phylogenetically conserved transcription/replication protein, plays a crucial role in mouse brain development. Previous studies showed that disruption of the Nfia gene in mice leads to perinatal lethality, corpus callosum agenesis, and hydrocephalus.

Publication Title

Gene expression analysis of nuclear factor I-A deficient mice indicates delayed brain maturation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE42018
Cerebellar Granule Neuron Temporal-NFI Microarray Data
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Dendrite and synapse development are critical for establishing appropriate neuronal circuits, and disrupted timing of these events can alter connectivity leading to disordered neural function.

Publication Title

Temporal regulation of nuclear factor one occupancy by calcineurin/NFAT governs a voltage-sensitive developmental switch in late maturing neurons.

Sample Metadata Fields

Specimen part

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accession-icon SRP052857
RNA-sequencing of Postnatal Day 10 Wild-type and Nfix KO Subventricular Zone-derived Primary Monolayer-cultured Neural Stem Cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: To study the mechanisms involved in the regulation by NFIX on neural stem cell development and to examine the transcriptome changes associated with the loss of NFIX in neural stem cells. Methods: Subventricular zones of 10-day-old wild-type and Nfix KO mice were sectioned and dissociated into single cells. Cells were cultured in proliferation condition for 10 days. RNA was purified and poly-A selected to build the library for RNA-seq. Conclusions: Our study represents the first detailed analysis of transcriptome changes in primary monolayer-cultured neural stem cells associated with the loss of NFIX. Overall design: Cells dissociated from 10-day-old wild-type and nuclear factor I-X (Nfix KO) mice subventricular zone were cultured in DMEM/F12 with B27, Glutamine, EGF and bFGF for 10 days. RNA was harvested with Norgen RNA purification micro kit and then prepared with illumina TruSeq kit. Samples from 6 mice (3 vs. 3) were loaded on one lane. 50-cycle single-read run was performed on Hiseq 2000. The sequence reads were analyzed by TopHat 2.0.7 followed by Cufflinks 1.3.0 with the mm9 UCSC annotation files.

Publication Title

Loss of NFIX Transcription Factor Biases Postnatal Neural Stem/Progenitor Cells Toward Oligodendrogenesis.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP158081
Single-cell RNA-Seq Analysis of Retinal Development Identifies NFI Factors as Regulating Mitotic Exit and Late-Born Cell Specification
  • organism-icon Mus musculus
  • sample-icon 879 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Single cell RNA sequencing using either an adapted Smart-seq2 protocol on Chx10-GFP (+) retinal progenitor cells; 10x Genomics Chromium Single Cell system across 10 timepoints of mouse retinal development to examine retinal progenitor cell heterogeneity across retinal development and global changes in gene expression from early retinal neuroepithelial cells through specification and differentiation of retinal cell types; 10X Genomics Chromium Single Cell on P14 Nfia/b/x het control or Nfia/b/x tCKO (Chx10-Cre-GFP) retinas Overall design: Examination of transcript expression within 120,840 cells across 10 developmental time-points (14 experiments) via 10x Genomics and 864 cells via an adapted Smart-Seq2 protocol; Characterization of Nfia/b/x mutant phenotypes using single-cell RNA-seq

Publication Title

Single-Cell RNA-Seq Analysis of Retinal Development Identifies NFI Factors as Regulating Mitotic Exit and Late-Born Cell Specification.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP058454
Runx1- responsive genes in mdx muscles
  • organism-icon Mus musculus
  • sample-icon 47 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

RNA-seq was performed to compare expression pattern of musles taken form two mice strains- mdx and mdx/Runx1f/f, which are double KO carrting a muscle specific ablation of Runx1 using a Myf5-Cre. This comparison revealed the Runx1- responsive gene set in mdx muscles. we could cross this data with prior retrived datd from privous experiments found in this GEO quary, to pinpiont Runx1 target genes in muscle rgeneration Overall design: RNA was extracted form soleus muscles of 2 months old mice, n=3,4 for mdx and mdx/Runx1f/f, respectively . Differentially expressed genes were discovered using the DeSeq2 software

Publication Title

Genomic-wide transcriptional profiling in primary myoblasts reveals Runx1-regulated genes in muscle regeneration.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE56131
Transcription factor Runx1 cooperates with MyoD and c-Jun to regulate the balance of myoblast proliferation/differentiation
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genomic-wide transcriptional profiling in primary myoblasts reveals Runx1-regulated genes in muscle regeneration.

Sample Metadata Fields

Specimen part

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accession-icon GSE30539
Dissecting the retinoid-induced differentiation of F9 embryonal stem cells by integrative genomics
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Dissecting the retinoid-induced differentiation of F9 embryonal stem cells by integrative genomics.

Sample Metadata Fields

Cell line, Time

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accession-icon GSE67351
Altering TET dioxygenase levels within physiological range affects DNA methylation dynamics of HEK293 cells
  • organism-icon Homo sapiens
  • sample-icon 17 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

Altering TET dioxygenase levels within physiological range affects DNA methylation dynamics of HEK293 cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE72533
Reconstructing gene regulatory networks of tumorigenesis
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mapping 250K Nsp SNP Array (mapping250knsp), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Reconstruction of gene regulatory networks reveals chromatin remodelers and key transcription factors in tumorigenesis.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE30537
Dissecting the retinoid-induced differentiation of F9 embryonal stem cells by integrative genomics [mRNA profiling]
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Retinoic acid (RA) triggers physiological processes by activating heterodimeric transcription factors comprising retinoic acid (RARa,b,g) and retinoid X (RXRa,b,g) receptors. How a single signal induces highly complex temporally controlled networks that ultimately orchestrate physiological processes is unclear. Using an RA-inducible differentiation model we defined the temporal changes in the genome-wide binding patterns of RARg and RXRa and correlated them with transcription regulation. Unexpectedly, both receptors displayed a highly dynamic binding, with different RXRa heterodimers targeting identical loci. Comparison of RARg and RXRa co-binding at RA-regulated genes identified putative RXRa-RARg target genes that were validated with subtype-selective agonists. Gene regulatory decisions during differentiation were inferred from transcription factor target gene information and temporal gene expression. This analysis revealed 6 distinct co-expression paths of which RXRa-RARg is associated with transcription activation, while Sox2 and Egr1 were predicted to regulate repression. Finally, RXRa-RARg regulatory networks were reconstructed through integration of functional co-citations. Our analysis provides a dynamic view of RA signalling during cell differentiation, reveals RA heterodimer dynamics and promiscuity, and predicts decisions that diversify the RA signal into distinct gene-regulatory programs.

Publication Title

Dissecting the retinoid-induced differentiation of F9 embryonal stem cells by integrative genomics.

Sample Metadata Fields

Cell line, Time

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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