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accession-icon GSE8391
Clockwork Orange is a transcriptional repressor and a new Drosophila circadian pacemaker component
  • organism-icon Drosophila melanogaster
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2), Affymetrix Drosophila Genome Array (drosgenome1)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Clockwork Orange is a transcriptional repressor and a new Drosophila circadian pacemaker component.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE7646
CLK targets from fly heads
  • organism-icon Drosophila melanogaster
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

CLK targets from fly heads using the TIM-GAL4; UAS-CLKGR line

Publication Title

Clockwork Orange is a transcriptional repressor and a new Drosophila circadian pacemaker component.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE7652
Timepoints Control strain
  • organism-icon Drosophila melanogaster
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

6 Timepoint microarray from control strain

Publication Title

Clockwork Orange is a transcriptional repressor and a new Drosophila circadian pacemaker component.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE7651
Timepoints 5073 strain
  • organism-icon Drosophila melanogaster
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

6 Timepoints from 5073 strain

Publication Title

Clockwork Orange is a transcriptional repressor and a new Drosophila circadian pacemaker component.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE7644
CLKGR in S2 cells
  • organism-icon Drosophila melanogaster
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

Experiments performed in S2 cells to identify direct CLK targets

Publication Title

Clockwork Orange is a transcriptional repressor and a new Drosophila circadian pacemaker component.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE7653
S2 cells transfected with Clk
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

S2 cells transfected with pAc-Clk or empty vector

Publication Title

Clockwork Orange is a transcriptional repressor and a new Drosophila circadian pacemaker component.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE50607
Gestational food-restriction but not nicotine exposure regulates gene expression in the striatum of adolescent rats
  • organism-icon Rattus norvegicus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

We used microarrays to determine the effect of prenatal nicotine exposure on gene expression profiles in the striatum of adolescent rats. We found a number of immediate early genes to be differentially expressed due to food-restriction.

Publication Title

Long-term effects of gestational nicotine exposure and food-restriction on gene expression in the striatum of adolescent rats.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP118316
Spatial reconstruction of immune niches by combining photoactivatable reporter and single-cell RNA-seq
  • organism-icon Mus musculus
  • sample-icon 134 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Cellular function is strongly dependent on surrounding cells and environmental factors. Current technologies are limited in characterizing the spatial location and unique gene-programs of cells in less structured and dynamic niches. Here we developed a method (NICHE-seq) that combines photoactivatable fluorescent reporters, two-photon microscopy and single-cell RNA-seq to infer the cellular and molecular composition of niches. We applied NICHE-seq to examine the high-order assembly of immune cell networks. NICHE-seq is highly reproducible in spatial tissue reconstruction, enabling identification of rare niche-specific immune subpopulations and unique gene-programs, including natural killer cells within infected B cell follicles and distinct myeloid states in the marginal zone. This study establishes NICHE-seq as a broadly applicable method for elucidating high-order spatial organization of cell types and their molecular pathways. Overall design: Transcriptional profiling of single cells from the specific immune niches in the lymph node and spleen, generated from deep sequencing of tens of thousands of cells, sequenced in several batches on illumina Nextseq500

Publication Title

Spatial reconstruction of immune niches by combining photoactivatable reporters and scRNA-seq.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

View Samples
accession-icon GSE141905
Phenotypic drug screening in a human fibrosis model identified a novel class of antifibrotic therapeutics
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Clariom S Human array (clariomshuman)

Description

Fibrogenic processes instigate fatal chronic diseases leading to organ failure and death. Underlying biological processes involve induced massive deposition of extracellular matrix (ECM) by aberrant fibroblasts. We subjected diseased primary human lung fibroblasts to an advanced 3D phenotypic high-content assay and screened a library of FDA/EMA approved small molecules for inhibiting ECM deposition. Fibrotic Pattern Detection by Artificial Intelligence (FANTAIL) identified Tranilast as an effective inhibitor, however, by structure-activity relationship studies we found N-(2-butoxyphenyl)-3-(phenyl)acrylamides (N23Ps) as a novel and highly potent compound class. N23Ps suppressed myofibroblast transdifferentiation, ECM deposition, cellular contractility, and altered cell shapes, thus advocating a unique mode of action. Mechanistically, transcriptomics identified SMAD (de)ubiquitination/Smurf2 as a potential therapeutic target network. Antifibrotic activity of N23Ps was verified by proteomics in a human ex vivo tissue fibrosis disease model, suppressing profibrotic markers SERPINE1/PAI1 and CXCL8/IL8. Conclusively, these data suggest N23Ps as a novel class of highly potent compounds with implications for inhibiting organ fibrosis in patients.

Publication Title

Phenotypic drug screening in a human fibrosis model identified a novel class of antifibrotic therapeutics.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon SRP066865
miRNA-1343 attenuates pathways of fibrosis by targeting the TGF-beta receptors [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

miRNA-1343 is an uncharacterized miRNA predicted to target a number of genes involved in epithelial cell function including TGF-beta signaling, cell adhesion, and cell proliferation. We transiently overexpressed miRNA-1343 or a non-targeting control miRNA in A549 and 16HBE14o- human airway cell lines. As predicted, RNA-seq following miRNA-1343 overexpression showed significant downregulation of genes involved in these pathways. Furthermore, genes involved in cholesterol and lipid biosynthesis were found to be significantly upregulated by miRNA-1343 overexpression. Overall design: mRNA profiles from A549 and 16HBE14o- cells transiently transfected with miRNA-1343 or a negative control (NC) miRNA, in quintuplicate.

Publication Title

miR-1343 attenuates pathways of fibrosis by targeting the TGF-β receptors.

Sample Metadata Fields

No sample metadata fields

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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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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