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accession-icon SRP075051
microRNAs with an AAGUGC seed motif constitute an integral part of a signaling network driving NSCLC cell proliferation
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

miR-372-3p target identification mRNA level Overall design: Differential expression analysis 30h post transfection with miR-372-3p mimics

Publication Title

microRNAs with AAGUGC seed motif constitute an integral part of an oncogenic signaling network.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE6614
Expression changes in mouse brains following nicotine-induced seizures; the modulation of transcription factor networks
  • organism-icon Mus musculus
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Nicotine, acting through the neuronal nicotinic acetylcholine receptors (nAChR), can induce seizures in mice. We aimed to study brain transcriptional response to seizure and to identify genes whose expression is altered after nicotine-induced seizures. Whole brains of untreated mice were compared to brains one hour after seizure activity, using Affymetrix U74Av2 microaarays. Experimental groups included wild-type mice and both nicotine-induced seizures sensitive and resistant nAChR mutant mice. Each genotype group received different nicotine doses to generate seizures. This approach allowed the identification of significantly changed genes whose expression was dependent on seizure activity, nicotine administration or both, but not on the type of nAChR subunit mutation or the amount of nicotine injected. Significant expression changes were detected in 62 genes (p < 0.05, FDR correction). Among them, GO functional annotation analysis determined that the most significantly over-represented categories were of genes encoding MAP kinase phosphatases, regulators of transcription and nucleosome assembly proteins. In-silico bioinformatic analysis of the promoter regions of the 62 changed genes detected the significant enrichments of 16 transcription regulatory elements (TREs), creating a network of transcriptional regulatory responses to seizures. The TREs for ATF and SRF were most significantly enriched, supporting their association with seizure activity. Our data suggest that nicotine-induced seizure in mice is a useful model to study seizure activity and its global brain transcriptional response. The differentially expressed genes detected here can help understand the molecular mechanisms underlying seizures in animal models, and may also serve as candidate genes to study epilepsy in humans.

Publication Title

Expression changes in mouse brains following nicotine-induced seizures: the modulation of transcription factor networks.

Sample Metadata Fields

Sex, Age, Treatment

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accession-icon GSE20411
The effects of aging vs. alpha7 nAChR subunit deficiency on the mouse brain transcriptome
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Aging is accompanied by expression changes in multiple genes and the brain is one of the tissues most vulnerable to aging. Since the alpha7 nicotinic acetylcholine receptor (nAChR) subunit has been associated with neurodevelopmental disorders and cognitive decline during aging, we hypothesized that its absence might affect gene expression profiles in aged brains. To study whether transcriptional changes occur due to aging, alpha7 deficiency or both, we analyzed whole brain transcriptomes of young (8 week) and aged (2 year) alpha7 deficient and wild-type control mice, using Mouse Genome 430 2.0 microarray. Highly significant expression changes were detected in 47 and 1543 genes (after Bonferroni and FDR correction) in the brains of aged mice compared to young mice, regardless of their genotype. These included genes involved in immune system function and ribosome structure, as well as genes that were previously demonstrated as differentially expressed in aging human brains. Genotype-dependent changes were detected in only 3 genes, Chrna7 which encodes the alpha7 nAChR subunit, and two closely linked genes, likely due to a mouse background effect. Expression changes dependent on age-genotype interaction were detected in 207 genes (with a low significance threshold). Age-dependent differential expression levels were approved in all nine genes that were chosen for validation by real-time RT-PCR. Our results suggest that the robust effect of aging on brain transcription clearly overcomes the almost negligible effect of alpha7 nAChR subunit deletion, and that germline deficiency of this subunit has a minor effect on brain expression profile in aged mice.

Publication Title

The effects of aging vs. α7 nAChR subunit deficiency on the mouse brain transcriptome: aging beats the deficiency.

Sample Metadata Fields

Age

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accession-icon SRP181857
Early genome activation in Drosophila is extensive with an initial tendency for aborted transcripts and retained introns
  • organism-icon Drosophila melanogaster
  • sample-icon 41 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Control of metazoan embryogenesis shifts from maternal to zygotic gene products as the zygotic genome becomes transcriptionally activated. In Drosophila, zygotic genome activation (ZGA) begins with a minor wave, but technical challenges have hampered the identification of early transcripts or obscured the onset of their transcription. Here, we develop an approach to isolate transcribed mRNAs and apply it over the course of the minor wave and the start of the major wave of Drosophila ZGA. Our results increase known genes of the minor wave by 10 fold and show that this wave is continuous and gradual. Transposable-element mRNAs are also produced, but discontinuously. Genes in the early and middle part of the minor wave are short with few if any introns, and their transcripts are frequently aborted and tend to have retained introns, suggesting that inefficient splicing as well as rapid cell divisions constrain the lengths of early transcripts. Overall design: The goal of this study is to use NGS to identify zygotic transcripts produced during early zygotic genome activation in Drosophila.

Publication Title

Early genome activation in <i>Drosophila</i> is extensive with an initial tendency for aborted transcripts and retained introns.

Sample Metadata Fields

Subject

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accession-icon GSE102037
Novel MYC-driven medulloblastoma models generated by CRISPR activation of endogenous Myc
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Myc-driven Group 3 medulloblastoma (MB) is the most aggressive tumor among the four subgroups classified by transcriptome, genomic landscape and clinical outcomes. So far in all available mouse Group 3 models, the constitutive ectopic Myc expression was under control of LTR element or other exogenous promoters within the vectors, which were randomly inserted into the genome with multiple copies. Here we are deploying nuclease deficient CRISPR/dCas9-based transactivator that is targeted to promoter DNA sequences by specific guide RNA to force the transcriptional activation of endogenous Myc in p53-/-;cdkn2c-/- neurospheres cells. A combination of three sgRNAs together with dCas9-VP64 induced the highest expression of endogenous Myc. When the targeted cells were transplanted to the cortex of recipients, tumors arose fully recapitulate the Group 3 MB in human. This novel mouse model should significantly strengthen our understanding and treatment of the Myc-driven Group 3 medulloblastoma.

Publication Title

Mouse medulloblastoma driven by CRISPR activation of cellular Myc.

Sample Metadata Fields

Specimen part

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accession-icon SRP094591
mRNA-seq in Drosophila larval fat body
  • organism-icon Drosophila melanogaster
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We performed mRNA-seq from hand-dissected fat body tissue from 68hr (after egg laying, AEL) and 92hr AEL Drosophila melanogaster larvae. Fat body was dissected from wild-type (OrR) males and testes were removed. We examined gene expression genome-wide with particular focus on genes in the underreplicated regions in the fat body. Overall design: Sequencing of poly-A selected RNA from 68hr AEL and 92hr AEL wild-type (OrR) Drosophila melanogaster male larvae. Sequences analyzed by Illumina sequencing. Two biological replicates are included for each developmental sample.

Publication Title

Dynamic changes in ORC localization and replication fork progression during tissue differentiation.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon SRP033366
Polysome profiling and ribosome footprinting of Drosophila mature oocyte and activated egg
  • organism-icon Drosophila melanogaster
  • sample-icon 54 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We use mRNA-seq in combination with polysome profiling to determine translational status for all mRNAs in Drosophila mature oocytes and activated eggs. Puromycin-treated lysates are used as a negative control in polysome profiling experiments. Additionally, we use ribosome footprinting to globally measure translational efficiency of mRNAs in wild type mature oocytes as well as wild type and png mutant activated eggs. Overall design: Lysates of hand-dissected Drosophila mature oocytes (containing ~540 µg of total RNA) were subjected to separation by velocity sedimentation through sucrose gradients. In this way, free mRNAs (present in RNPs fraction) or those comigrating with ribosomal subunits (40S or 60S+80S fractions) or with varying numbers of bound ribosomes (low polysomes (2-4 ribosomes), medium polysomes (5-9 ribosomes), and heavy polysomes (more than 10 ribosomes) can be separated based on their size and collected as sucrose gradient fractions. To compare quantitatively the levels of every mRNA across the polysome gradient fractions, we added 5ng of S. cerevisiae mRNA as an exogenous spike-in to each of the six fractions of interest: RNPs, 40S, 60S+80S, low polysomes, medium polysomes and heavy polysomes. RNA was extraced from these fractions, follwing proteinase K treatment, by hot acid phenol method. In case of unfractionated lysates, RNA was extracted using TRIzol (Invitrogen) according to manufacturer’s instructions. mRNA-seq samples were prepared from 1 µg of total RNA (in case of sucrose gradient fractions and unfractionated lysates) and subject to Illumina based sequencing. Puromycin-treated lysates of mature oocytes or 0-2h Drosophila activated eggs (containing ~540 µg of total RNA) were also subjected to separation by velocity sedimentation through sucrose gradients. Puromycin causes premature termination of elongating ribosomes and thus it can be used to determine whether the mRNAs co-sedimenting with the polysomal peaks (defined here as =5 ribosomes) were actively engaged in translation. As an independent approach to assess translation and obtain information on the position of ribosomes on mRNAs, we employed ribosome footprinting. In addition to analyzing the same samples, as by polysome profiling, we also analyzed png mutant activated eggs by ribosome footprinting. Ribosome footprint profiling measures the number of ribosome-protected fragments (RPFs) derived from the mRNAs of each gene, resulting in a singular value of translational efficiency (TE) for each gene (TE=RPF/RNA).

Publication Title

Widespread changes in the posttranscriptional landscape at the Drosophila oocyte-to-embryo transition.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE104498
Genome-wide analysis of genes induced by thrombin at 2 hour and 8 hour in human aortic smooth muscle cells
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

Human aortic smooth muscles are quiesced for 24 hours followed by treatment with thrombin for 2 hours and 8 hours in presence or absence of cyclosporin A (10 micromolar) to analyze the effect of thrombin on expression pattern of various genes in presence of cyclosporin A.

Publication Title

LIM and cysteine-rich domains 1 is required for thrombin-induced smooth muscle cell proliferation and promotes atherogenesis.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE110695
TCPOBOP-induced hepatomegaly & hepatocyte proliferation is attenuated by combined disruption of MET & EGFR signaling in mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

TCPOBOP (1,4-Bis [2-(3,5-Dichloropyridyloxy)] benzene) is a constitutive androstane receptor (CAR) agonist that induces robust hepatocyte proliferation and hepatomegaly without any liver injury or tissue loss. TCPOBOP-induced direct hyperplasia has been considered to be CAR-dependent with no evidence of involvement of cytokines or growth factor signaling. Receptor tyrosine kinases (RTKs), MET and EGFR, are known to play a critical role in liver regeneration after partial hepatectomy, but their role in TCPOBOP-induced direct hyperplasia, not yet explored, is investigated in the current study. Disruption of the RTK-mediated signaling was achieved utilizing MET KO mice along with Canertinib treatment for EGFR inhibition. Combined elimination of MET and EGFR signaling [MET KO + EGFRi], but not individual disruption, dramatically reduced TCPOBOP-induced hepatomegaly and hepatocyte proliferation. TCPOBOP-driven CAR activation was not altered in [MET KO + EGFRi] mice, as measured by nuclear CAR translocation and analysis of typical CAR target genes. However, TCPOBOP induced cell cycle activation was impaired in [MET KO + EGFRi] mice due to defective induction of cyclins, which regulate cell cycle initiation and progression. TCPOBOP-driven induction of FOXM1, a key transcriptional regulator of cell cycle progression during TCPOBOP-mediated hepatocyte proliferation, was greatly attenuated in [MET KO + EGFRi] mice. Interestingly, TCPOBOP treatment caused transient decline in HNF4 expression concomitant to proliferative response; this was not seen in [MET KO + EGFRi] mice. Transcriptomic profiling revealed vast majority (~40%) of TCPOBOP-dependent genes mainly related to proliferative response, but not to drug metabolism, were differentially expressed in [MET KO + EGFRi] mice. Conclusion: Taken together, combined disruption of EGFR and MET signaling lead to dramatic impairment of TCPOBOP-induced proliferative response without altering CAR activation.

Publication Title

TCPOBOP-induced hepatomegaly &amp;amp; hepatocyte proliferation is attenuated by combined disruption of MET &amp;amp; EGFR signaling.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP008977
Expression profile of third instar larval salivary gland tissue
  • organism-icon Drosophila melanogaster
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

We use mRNA-seq to transcriptionally profile larval salivary gland tissue from Drosophila third instar larvae. These data provide insights into tissue physiology and can be used to identify tissue specific transcripts. Overall design: Salivary glands were dissected from 200 wandering third instar larvae and the associated fat body was removed.Salivary glands were transferred to Graces unsupplemented medium on ice prior to RNA extraction with TRIzol reagent. mRNA-seq samples were prepared from 10 ug of total RNA and subject to Illumina based sequencing.

Publication Title

Developmental control of gene copy number by repression of replication initiation and fork progression.

Sample Metadata Fields

Specimen part, Cell line, 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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