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accession-icon SRP045715
RNA-seq of C.elegans treated with bcat-1 RNAi and controls
  • organism-icon Caenorhabditis elegans
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Worms were treated with bcat-1 RNAi Jena Centre for Systems Biology of Ageing - JenAge (www.jenage.de) Overall design: 6 samples: 3 replicates for bcat-1 RNAi treatment; 3 replicates for controls

Publication Title

Branched-chain amino acid catabolism is a conserved regulator of physiological ageing.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP095272
Analysis of parent-of-origin bias in gene expression levels
  • organism-icon Homo sapiens
  • sample-icon 325 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

In order to study parent-of-origin effects on gene expression, we performed RNAseq analysis (100bp single end reads) of 165 children who formed part of mother/father/child trios where genotype data was available from the HapMap and/or 1000 Genomes Projects. Based on phased genotypes at heterozygous SNP positions, we generated allelic counts for expression of the maternal and paternal alleles in each individual. This analysis reveals significant bias in the expression of the parental alleles for dozens of genes, including both previously known and novel imprinted transcripts. Overall design: This submission contains RNAseq data from 165 children from mother/father/child trios studied as part of the 1000 genomes and/or HapMap projects. We provide raw fastq format reads, and processed read counts per gene. Allelic count information can be provided by directly contacting the authors.

Publication Title

RNA-Seq in 296 phased trios provides a high-resolution map of genomic imprinting.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE37700
Reactivation of ERK signaling causes resistance to EGFR kinase inhibitors
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Reactivation of ERK signaling causes resistance to EGFR kinase inhibitors.

Sample Metadata Fields

Cell line

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accession-icon GSE37699
Aberrant ERK signaling causes resistance to EGFR kinase inhibitors
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The clinical efficacy of EGFR kinase inhibitors is limited by the development of drug resistance. The irreversible EGFR kinase inhibitor WZ4002 is effective against the most common mechanism of drug resistance mediated by the EGFR T790M mutation. Here we show that in multiple complementary models harboring EGFR T790M, resistance to WZ4002 develops through aberrant activation of ERK signaling caused by either an amplification of MAPK1 or by downregulation of negative regulators of ERK signaling. Inhibition of MEK or ERK restores sensitivity to WZ4002, and the combination of WZ4002 and a MEK inhibitor prevents the emergence of drug resistance. The WZ4002 resistant MAPK1 amplified cells also demonstrate an increase both in EGFR internalization and a decrease in sensitivity to cytotoxic chemotherapy compared to the parental counterparts. Our findings provide insights into mechanisms of drug resistance to EGFR kinase inhibitors and highlight rational combination therapies that should be evaluated in clinical trials.

Publication Title

Reactivation of ERK signaling causes resistance to EGFR kinase inhibitors.

Sample Metadata Fields

Cell line

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accession-icon GSE38431
Gene expression from induced CB-derived neurons at different time of differentiation
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Gene expression from cord blood stem cells and respective derived neuronal cells at different times point of differentiation:CD133+ cells;

Publication Title

Cord blood-derived neuronal cells by ectopic expression of Sox2 and c-Myc.

Sample Metadata Fields

Specimen part, Time

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accession-icon SRP031857
Transcriptome Sequencing During Mouse Brain Development Identifies Long Non-Coding RNAs Functionally Involved in Neurogenic Commitment
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transcriptome analysis of somatic stem cells and their progeny is fundamental to identify new factors controlling proliferation versus differentiation during tissue formation. Here we generated a combinatorial, fluorescent reporter mouse line to isolate proliferating neural stem cells, differentiating progenitors and newborn neurons that coexist as intermingled cell populations during brain development. Transcriptome sequencing revealed numerous novel long non-coding (lnc)RNAs and uncharacterized protein-coding transcripts identifying the signature of neurogenic commitment. Importantly, most lncRNAs overlapped neurogenic genes and shared with them a nearly identical expression pattern suggesting that lncRNAs control corticogenesis by tuning the expression of nearby cell fate determinants. We assessed the power of our approach by manipulating lncRNAs and protein-coding transcripts with no function in corticogenesis reported to date. This led to several evident phenotypes in neurogenic commitment and neuronal survival indicating that our study provides a remarkably high number of uncharacterized transcripts with hitherto unsuspected roles in brain development. Finally, we focussed on one lncRNA, Miat, whose manipulation was found to trigger pleiotropic effects on brain development and aberrant splicing of Wnt7b. Hence, our study suggests that lncRNA-mediated alternative splicing of cell fate determinants controls stem cell commitment during neurogenesis. “LncRNAs control neurogenesis” Aprea, Prenninger, Dori, Monasor, Wessendof, Zocher, Massalini, Ghosh, Alexopoulou, Lesche, Dahl, Groszer, Hiller, Calegari, The EMBO Journal (In Press) Overall design: mRNA profiles of Proliferating Progenitors, Differentiating Progenitors and Neurons from lateral cortex of E14.5 mouse embryos. Each cell type in three biological replicates.

Publication Title

Transcriptome sequencing during mouse brain development identifies long non-coding RNAs functionally involved in neurogenic commitment.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE43794
Differentiation of human fetal multipotential neural progenitor cells to astrocytes reveals susceptibility factors for JC Virus
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Viral infections of the CNS are of increasing concern, especially among immunocompromised populations. Rodent models are often inappropriate for studies of CNS infection, as many viruses, including JC Virus (JCV) and HIV, cannot replicate in rodent cells. Consequently, human fetal brain-derived multipotential CNS progenitor cells (NPCs) that can be differentiated into neurons, oligodendrocytes, or astrocytes, have served as a model for CNS studies. NPCs can be non-productively infected by JCV, while infection of progenitor-derived astrocytes (PDAs) is robust. We profiled cellular gene expression at multiple times during differentiation of NPCs to PDAs. Several activated transcription factors show commonality between cells of the brain in which JCV replicates and lymphocytes in which JCV is likely latent. Bioinformatic analysis determined transcription factors that may influence the favorable transcriptional environment for JCV in PDAs. This study attempts to provide a framework for understanding the functional transcriptional profile necessary for productive JCV infection.

Publication Title

Differentiation of human fetal multipotential neural progenitor cells to astrocytes reveals susceptibility factors for JC virus.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE51130
Using a rhabdomyosarcoma patient-derived xenograft to examine precision medicine approaches and model acquired resistance
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Original patient tumor is directly implanted in mice xenografts. Tumor is propagated to multiple mice for conduct of 6 arm treatment trials and control. Therapies are selected based on T0 and F0 genomic profiles.

Publication Title

Using a rhabdomyosarcoma patient-derived xenograft to examine precision medicine approaches and model acquired resistance.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP137054
Gene expression profiling of Smad2/3 cKO mice
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

Uterine double conditional inactivation of Smad2 and Smad3 in mice results in endometrial dysregulation, infertility, and uterine cancer. Smad2/3 cKO mice demonstrate abnormal expression of genes involved in inflammation, cell-cycle checkpoint, migration, steroid biosynthesis, and SMAD1/5-driven genes. We performed RNA-sequencing to identify the gene expression differences between the uterine epithelium of control and Smad2/3 cKO. To control for estrous cycle variations, the uterine epithelium was collected from mice at 0.5 dpc. Global gene expression profiles of Smad2/3 cKO versus control mice was analyzed. Our RNA sequencing analysis was performed at 6 weeks of life and already showed significant differences in migratory (Agr2,Slit2) and inflammatory (Ccl20, Crispld2) markers between Smad2/3 cKO and control mice. Overall design: Two group comparison: uterine epithelium of control and Smad2/3 cKO mice. We generated a conditional knockout of Smad2/3 in the uterus and demonstrated that Smad2/3 plays a critical role in the endometrium, with disruption resulting in pubertal-onset uterine hyperplasia and ultimately fatal uterine cancer.

Publication Title

Uterine double-conditional inactivation of <i>Smad2</i> and <i>Smad3</i> in mice causes endometrial dysregulation, infertility, and uterine cancer.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP094632
Repression by PRDM13 is critical for generating precise neuronal identity (RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The mechanisms that activate some genes while silencing others are critical to ensure precision in lineage specification as multipotent progenitors become restricted in cell fate. During neurodevelopment, these mechanisms are required to generate the wide variety of neuronal subtypes found in the nervous system. Here we report interactions between basic helix-loop-helix (bHLH) transcriptional activators and the transcriptional repressor PRDM13 that are critical for these processes during specification of dorsal spinal cord neurons. PRDM13 inhibits gene expression programs for the excitatory neuronal lineages in the dorsal neural tube while also suppressing a battery of genes that determine ventral neural tube fates including Olig1, Olig2 and Prdm12. PRDM13 does this via recruitment to chromatin by multiple neural bHLH factors to restrict gene expression in specific neuronal lineages. Together these findings highlight the function of PRDM13 in repressing bHLH transcriptional activators that together are required to achieve precise neuronal specification during development. Overall design: RNA-seq analysis performed on GFP+ cells sorted by FACS from Prdm13GFP/+ or Prdm13GFP/GFP mouse E11.5 neural tubes to identify gene expression in the presence and absence of PRDM13.

Publication Title

Repression by PRDM13 is critical for generating precision in neuronal identity.

Sample Metadata Fields

Subject

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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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