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accession-icon GSE70834
Serotonergic regulation of melanocyte conversion: a bioelectric network explains stochastic all-or-none hyperpigmentation
  • organism-icon Xenopus laevis
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Xenopus laevis Genome 2.0 Array (xlaevis2)

Description

Depolarization of resting membrane potential in select cells in Xenopus larvae induces striking hyperpigmentation due to dysregulation of melanocytes. Here, we show that this non-cell-autonomous process is mediated by cAMP, CREB, and the transcription factors Sox10 and Slug. Our microarray analysis reveals specific transcripts responsive to Vmem levels within a few hours of depolarization, and a set of 517 transcripts whose expression remains altered during the full hyperpigmented phenotype over a week later, linking instructor cell-depolarization to a range of developmental processes and disease states. We also show that voltage-dependent conversion of melanocytes involves the MSH-secreting melanotrope cells of the pituitary, and formulate a model for the molecular pathway linking the bioelectric properties of melanocyte cells microenvironment in vivo to the genetic and cellular changes induced in this melanoma-like phenotype. Remarkably, the phenotype is all-or-none: each individual animal either undergoes melanocyte conversion or not, as a whole. This group decision is stochastic, resulting in varying percentages of hyperpigmented individuals for a given experimental treatment. To understand the stochasticity and dynamic properties of this complex signaling system, we developed a novel computational method that automates the reverse-engineering of stochastic dynamic signaling models. We used this method to discover a network model that quantitatively explained our complex dataset, and even made correct predictions for new experiments that we validated in vivo. Taken together, these data (1) reveal new molecular details about a novel trigger of metastatic-like developmental cell behavior in vivo, (2) suggest new targets for biomedical intervention, and (3) demonstrate proof-of-principle of a computational method for understanding stochastic decision-making by cells during embryonic development and metastasis.

Publication Title

Serotonergic regulation of melanocyte conversion: A bioelectrically regulated network for stochastic all-or-none hyperpigmentation.

Sample Metadata Fields

Specimen part

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accession-icon GSE7493
Mutant SOD1 rats (lobsi-affy-rat-194438)
  • organism-icon Rattus norvegicus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Missense mutations in the gene for the ubiquitously expressed superoxide dismutase-1 (SOD1) are one of the causes of familial amyotrophic lateral sclerosis (ALS), the most common adult onset motor neuron disease in humans killing selectively large motor neurons. Mice and rats overexpressing mutant SOD1 develop an adult onset neurodegenerative disease with hindlimb-paralysis and subsequent death similar to the human condition. In order to analyze the effects of mutant SOD1 expression onto the most affected cell-type in ALS, a small subpopulation of spinal cord cells, we propose to use laser microdissection to isolate mouse lumbar motor neurons and to assess the changes onto the mRNA expression profile using Affymetrix GeneChips compared to control animals. While two studies applying a genomic approach on the ALS mouse models used the entire spinal cord, contributions of changes to motor neurons were masked by the inflammatory effects of mutant SOD1 and the much larger population of non-motor neuronal cells. What is therefore needed is a cell-type specific expression profile that could reveal dysregulations in the transcriptome of the affected motor neurons.

Publication Title

Toxicity from different SOD1 mutants dysregulates the complement system and the neuronal regenerative response in ALS motor neurons.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE89720
Thy-1 Expression Enriches for Self-Renewing Murine MRUs
  • organism-icon Mus musculus
  • sample-icon 24 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

Serially transplantable mammary epithelial cells express the Thy-1 antigen.

Sample Metadata Fields

Specimen part

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accession-icon GSE89718
Thy-1 Expression Enriches for Self-Renewing Murine MRUs [BL6]
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Enriched cell populations from murine mammary epithelium were isolated by FACS and subjected to Affymetrix Mouse 430 2.0 microarray analysis.

Publication Title

Serially transplantable mammary epithelial cells express the Thy-1 antigen.

Sample Metadata Fields

Specimen part

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accession-icon GSE89719
Thy-1 Expression Enriches for Self-Renewing Murine MRUs [FVB]
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Enriched cell populations from murine mammary epithelium were isolated by FACS and subjected to Affymetrix Mouse 430 2.0 microarray analysis.

Publication Title

Serially transplantable mammary epithelial cells express the Thy-1 antigen.

Sample Metadata Fields

Specimen part

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accession-icon GSE34006
Role of Adenosine 2A Receptors (A2AR) on regulatory T cells (Tregs)
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The adenosine 2A receptor (A2AR) is expressed on regulatory T cells (Tregs), but the functional significance is currently unknown. We compared the gene expression between wild-type (WT) and A2AR knockout (KO) Tregs and between WT Tregs treated with vehicle or a selective A2AR agonist.

Publication Title

Autocrine adenosine signaling promotes regulatory T cell-mediated renal protection.

Sample Metadata Fields

Specimen part

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accession-icon SRP058975
Daytime soybean transcriptome fluctuations during water deficit stress
  • organism-icon Glycine max
  • sample-icon 35 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

By sequencing 36 cDNA libraries with Illumina technology, we identified genes differentially expressed in soybean plants in response to water deficit and genes that were either up- or down-regulated in different periods of the day. Of 54,175 predicted soybean genes (Glyma v1.1), 35.52% exhibited expression oscillations in a 24 h period. This number increased to 39.23% when plants were submitted to water deficit. Major differences in gene expression were observed in the control plants from late day (ZT16) until predawn (ZT20) periods, indicating that gene expression oscillates during the course of 24 h in normal development. Under water deficit, dissimilarity increased in all time-periods, indicating that the applied stress influenced gene expression. Results suggest that time of day, as well as light and temperature oscillations that occur considerably affect the regulation of water deficit stress response in soybean plants. Overall design: Gene expression analysis of soybean leaves under water deficit in 6 periods of day by sequencing 36 libraries, in triplicate, in Illumina platform.

Publication Title

Daytime soybean transcriptome fluctuations during water deficit stress.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP165642
Biology and Bias in Cell Type-Specific RNAseq of Nucleus Accumbens Medium Spiny Neurons
  • organism-icon Mus musculus
  • sample-icon 43 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Isolation of cell populations is untangling complex biological interactions, but studies comparing methodologies lack in vivo complexity and draw limited conclusions about the types of transcripts identified by each technique. Furthermore, few studies compare FACS-based techniques to ribosomal affinity purification, and none do so genome-wide. We addressed this gap by systematically comparing nuclear-FACS, whole cell-FACS, and RiboTag affinity purification in the context of D1 or D2 dopamine receptor-expressing medium spiny neuron (MSN) subtypes of the nucleus accumbens (NAc), a key brain reward region. We find that nuclear-FACS-seq generates a substantially longer list of differentially expressed genes between these cell types, and a significantly larger number of neuropsychiatric GWAS hits than the other two methods. RiboTag-seq has much lower coverage of the transcriptome than the other methods, but very efficiently distinguishes D1- and D2-MSNs. We also demonstrate differences between D1- and D2-MSNs with respect to RNA localization, suggesting fundamental cell type differences in mechanisms of transcriptional regulation and subcellular transport of RNAs. Together, these findings guide the field in selecting the RNAseq method that best suits the scientific questions under investigation. Overall design: Forty-nine samples constituting 39 samples from male mice: 16 whole cell-FACS (D1 n=9, D2 n=7), 11 nuclear-FACS (D1 n=6, D2 n=5), and 12 RiboTag (D1 n=6, D2 n=6), and 10 samples from female mice (D1 n=5, D2 n=5).

Publication Title

Biology and Bias in Cell Type-Specific RNAseq of Nucleus Accumbens Medium Spiny Neurons.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP053098
BPTF is required for c-MYC-induced remodelling of target chromatin and transcriptional activation [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

The c-MYC oncogene is a key transcription factor deregulated in most human tumors. Histone marks associated with transcriptionally active genes in euchromatic islands define the set of high-affinity c-MYC targets. The mechanisms involved in their recognition by c-MYC are not known but likely involve chromatin-remodelling and chromatin-modifying complexes. Here, we show that c-MYC interacts with BPTF, a core subunit of the NURF complex that binds active chromatin. BPTF is required for the activation of the full c-MYC transcriptional programme in fibroblasts. BPTF knockdown leads to a decrease in c-MYC recruitment to DNA and to changes in chromatin accessibility. Using BPTF-null MEFs we show that BPTF is necessary for c-MYC-driven proliferation, G1-S progression, and replication stress, but not for c-MYC-driven apoptosis. Consistently, BPTF is required for the proliferation of cells driven by c-MYC, such as Burkitt lymphoma, and its expression in human cancer lines correlates with the activation of c-MYC gene signatures. Our findings point to the c-MYC-BPTF axis as a potential therapeutic target in cancer. Overall design: To assess whether BPTF is required for the transcriptional activity of c-MYC, human foreskin fibroblasts (HFF) were stably transduced with the chimeric MYC-ER cDNA (HFF MYC-ER) and infected with lentiviruses coding for either control (shNt) or BPTF-targeting shRNAs. Cells were serum-starved for 2 days to achieve quiescence and then treated with 4-hydroxytamoxifen (4-OHT)

Publication Title

BPTF is required for c-MYC transcriptional activity and in vivo tumorigenesis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE82179
Ornithine decarboxylase is sufficient for prostate tumorigenesis via androgen receptor signaling
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Ornithine decarboxylase is sufficient for prostate tumorigenesis via androgen receptor signaling

Publication Title

Ornithine Decarboxylase Is Sufficient for Prostate Tumorigenesis via Androgen Receptor Signaling.

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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