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accession-icon GSE37707
Effects of the long noncoding RNA Malat1 on gene expression
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Malat1 is not an essential component of nuclear speckles in mice.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE37705
Effects of the long noncoding RNA Malat1 on gene expression [Mouse430_2]
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Malat1 is an abundant long noncoding RNA that localizes to nuclear bodies known as nuclear speckles, which contain a distinct set of pre-mRNA processing factors. Previous in vitro studies have demonstrated that Malat1 interacts with pre-mRNA splicing factors, including the serine- and arginine-rich (SR) family of proteins, and regulates a variety of biological processes, including cancer cell migration, synapse formation, cell cycle progression, and responses to serum stimulation. To address the physiological function of Malat1 in a living organism, we generated Malat1-KO (KO) mice using homologous recombination. Unexpectedly, the Malat1-KO mice were viable and fertile, showing no apparent phenotypes. Nuclear speckle markers were also correctly localized in cells that lacked Malat1. However, the cellular levels of another long noncoding RNA, Neat1, which is an architectural component of nuclear bodies known as paraspeckles, were downregulated in a particular set of tissues and cells lacking Malat1.

Publication Title

Malat1 is not an essential component of nuclear speckles in mice.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE21401
Affymetrix microarray for gene expression patterns influenced by syndecan-1 overexpression in malignant mesothelioma STAV-AB cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We aimed to investigate the function of syndecan-1 in tumor cell adhesion and migration, with special focus on the importance of its distinct protein domains, to better understand the structure-function relationship of syndecan-1 in tumor progression. We utilized two mesenchymal tumor cell lines which were transfected to stably overexpress full-length syndecan-1 or truncated variants: the 78 which lacks the extracellular domain except the DRKE sequence proposed to be essential for oligomerization, the 77 which lacks the whole extracellular domain, and the RMKKK which serves as a nuclear localization signal. Various bioassays for cell adhesion, chemotaxis, random movement and wound healing were studied. Furthermore we performed gene microarray to analyze the global gene expression pattern influenced by syndecan-1.

Publication Title

Novel genes and pathways modulated by syndecan-1: implications for the proliferation and cell-cycle regulation of malignant mesothelioma cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE37843
Expression data generated by syndecan-1 silencing in malignant mesothelioma STAV-AB cell line
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The transcriptomic responses of syndecan-1 silencing in a human mesothelioma cell line was followed with microarray analysis. To project the transcriptome analysis on the full-dimensional picture of cellular regulation, we applied a novel method of network enrichment analysis which elucidated signalling relations between differentially expressed genes and pathways acting via various molecular mechanisms.

Publication Title

Novel genes and pathways modulated by syndecan-1: implications for the proliferation and cell-cycle regulation of malignant mesothelioma cells.

Sample Metadata Fields

Cell line

View Samples
accession-icon SRP038702
Genomewide analysis of QKI-dependent alternative splicing
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

To identify QKI targets, we performed QKI knockdown in BEAS2B cells and analyzed alternative splicing patterns by high-throughput RNA sequencing. Overall design: The mRNA profiles of control- and QKI-knockdown BEAS2B cells were generated by deep sequencing using Illumina GAIIx sequencer.

Publication Title

The RNA-binding protein QKI suppresses cancer-associated aberrant splicing.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE38023
Comparative transcriptome profiling of chilling stress responsiveness in two contrasting rice genotypes
  • organism-icon Oryza sativa
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Rice is sensitive to chilling stress, especially at the seedling stage. To elucidate the molecular genetic mechanisms of chilling tolerance in rice, comprehensive gene expressions of two rice genotypes (chilling-tolerant LTH and chilling-sensitive IR29) with contrasting responses to chilling stress were comparatively analyzed. Results revealed distinct global transcription reprogramming between the two rice genotypes under time-series chilling stress and subsequent recovery conditions. A set of genes with higher basal expression were identified in LTH, indicating their possible role in intrinsic tolerance to chilling stress. Under chilling stress, the major effect on gene expression was up-regulation in LTH and strong repression in IR29. Early responses to chilling stress in both genotypes featured commonly up-regulated genes related to transcription regulation and signal transduction, while functional categories for late phase chilling regulated genes were diverse with a wide range of functional adaptations to continuous stress. Following the cessation of chilling treatments, there was quick and efficient reversion of gene expression in LTH, while IR29 displayed considerably slower recovering capacity at the transcriptional level. In addition, the detection of differentially-regulated TF genes and enriched cis-elements demonstrated that multiple regulatory pathways, including CBF and MYBS3 regulons, were involved in chilling stress tolerance.

Publication Title

Comparative transcriptome profiling of chilling stress responsiveness in two contrasting rice genotypes.

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon GSE49132
GATA4
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Function of GATA factors in the adult mouse liver.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE51478
Transcriptome profiling of GATA4,6 double depleted hepatocytes
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Analysis of changes in gene expression following hepatocyte specific deletion of GATA4 and GATA6 in adult mice. Results showed that the subset of differentially expressed genes had liver specific ontologies.

Publication Title

Function of GATA factors in the adult mouse liver.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE49130
Transcriptome profiling of GATA4 depleted hepatocytes
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Analysis of changes in gene expression following hepatocyte specific deletion of GATA4 in adult mice. Results showed that the subset of differentially expressed genes had liver specific ontologies.

Publication Title

Function of GATA factors in the adult mouse liver.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon SRP065742
Comprehensive Identification of Long Non-coding RNAs in Purified Cell Types from the Brain Reveals Functional LncRNA in OPC Fate Determination (RNA-Seq of differentiated NSC after lnc-OPC knockdown)
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

To quantitative analysis of transcriptome changes caused by lnc-OPC knockdown during OPC differentiation from NSC, lentivirus-based short hairpin RNAs were used to knockdown the lnc-OPC expression in a neural stem cell culture . Subsequently, puromycin-selected NSCs were differentiated to OPC in culture for three days.RNA-Seq was performed on the polyadenylated fraction of RNA isolated from cell samples. DEseq was used for differential gene expression analysis caused by lnc-OPC knockdown. GO functional term enrichment analysis of differential gene expression caused by lnc-OPC knockdown, revealed significant enrichment of 'oligodendrocyte development', 'oligodendrocyte differentiation', 'glia cell development', and 'axon ensheathment' terms that are associated with oligodendrogenesis. Overall design: mRNA profiles of differentiiated NSC samples after lnc-OPC knockdown by RNA-sequencing.

Publication Title

Comprehensive Identification of Long Non-coding RNAs in Purified Cell Types from the Brain Reveals Functional LncRNA in OPC Fate Determination.

Sample Metadata Fields

Specimen part, Cell line, Subject

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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