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accession-icon GSE87098
Expression data of mucociliated human airway epithelia on-chip with or without exposure to whole cigarette smoke under physiological breathing
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Smoking represents a major risk factor for chronic obstructive pulmonary disease (COPD), but it is difficult to characterize smoke-induced injury responses under physiological breathing conditions in humans. Here we generated small airway-on-a-chip microdevices lined by living human bronchiolar epithelium from normal or COPD patients and connected them to an instrument that 'breathes' whole cigarette smoke in and out of the chips to study smoke-induced pathophysiology in vitro. We used microarrays to detail the global program of gene expression in well-differentiated epithelial cells following smoke exposure to recapitulate clinical pathologies and identify disease-specific responses.

Publication Title

Matched-Comparative Modeling of Normal and Diseased Human Airway Responses Using a Microengineered Breathing Lung Chip.

Sample Metadata Fields

Specimen part, Disease, Treatment

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accession-icon GSE7676
Changes in gene expression following Protocadherin 12 knockout
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Protocadherin 12 (Pcdh12) is a transmembrane adhesive protein with homophilic adhesive properties and expressed in endothelial cells, the glycogen trophoblast cells of the placenta, and the mesangial cells of kidney glomeruli. Pcdh12-deficient mice are alive although they show alterations in placenta development.

Publication Title

Protocadherin 12 deficiency alters morphogenesis and transcriptional profile of the placenta.

Sample Metadata Fields

Sex

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accession-icon SRP172824
RNA-seq of WT and Nocturnin knockout A549 cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

mRNA regulation by the circadian protein Nocturnin in A549 cells. Overall design: Total RNA from WT and NOCT KO A549 cells were subject to poly-A pulldown and RNA-seq.

Publication Title

The metabolites NADP<sup>+</sup> and NADPH are the targets of the circadian protein Nocturnin (Curled).

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE43830
Long Noncoding RNA MALAT1 Controls Cell Cycle Progression by Regulating the Expression of Oncogenic Transcription Factor B-MYB
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Transcriptome analysis of control and MALAT1 lncRNA-depleted RNA samples from human diploid lung fibroblasts [WI38]

Publication Title

Long noncoding RNA MALAT1 controls cell cycle progression by regulating the expression of oncogenic transcription factor B-MYB.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE37458
Expression data from WT and VAChT KDHOM ventricles
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

VAChT KDHOM mice have a 70% decrease in the vesicular acetylcholine transporter (VAChT) and this leads to a systemic decrease in ACh release and cardiac dysfunction.

Publication Title

An analysis of the myocardial transcriptome in a mouse model of cardiac dysfunction with decreased cholinergic neurotransmission.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE25763
Comparative expression profiling identifies differential roles for Myogenin and p38 MAPK signaling in myogenesis
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Mitogen activated protein kinase (MAPK) signaling regulates differentiation of many cell types. During myogenesis in particular, p38a MAPK (MAPK14) phosphorylates multiple transcriptional regulators to modulate muscle-specific gene expression. Among the p38a MAPK modulated genes is the muscle-specific transcriptional regulator Myogenin (Myog) that is also essential to complete the muscle differentiation program, and while it is known that both p38a MAPK and Myog are critically required for myogenesis, the individual contribution of each of these proteins is poorly defined. Here we show that Myog expression (in the absence of p38a MAPK signaling) is sufficient to establish expression of many late markers of muscle differentiation and to mediate cell migration. However, Myog expression alone did not led to the formation of multinucleated muscle cells, highlighting a critical role for p38a MAPK in myoblast fusion. Using comparative microarray analysis we identified p38a MAPK-dependent genes that are not regulated by Myog

Publication Title

Comparative expression profiling identifies differential roles for Myogenin and p38α MAPK signaling in myogenesis.

Sample Metadata Fields

Cell line

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accession-icon SRP072835
The MLL-AF9 and MLL-AF4 oncofusion proteins bind a distinct enhancer repertoire and target the RUNX1 program in MLLr AML
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon

Description

In MLL-rearranged (MLLr) leukemias the N terminal part of the MLL gene can be fused to over 60 different partner genes. Here, we investigate the genome wide binding of the MLL-AF9 and MLL-AF4 fusion proteins and their epigenetic signatures in order to define a core set of MLLr targets. We uncover both common as well as specific MLL-AF9 and MLL-AF4 target genes, which are all marked by H3K79me2, H3K27ac, and H3K4me3. Apart from promoter binding, we also identify MLL-AF9 and MLL-AF4 binding at specific subsets of non overlapping active distal regulatory elements. Despite this differential enhancer binding MLL-AF9 and MLL-AF4 still share a common gene program, which represents part of the RUNX1 gene program and constitutes of CD34+ and monocyte specific genes. Comparing these datasets revealed several zinc finger transcription factors as potential MLL-AF9 co-regulators. Together these results suggest that MLL-fusions collaborate with specific subsets of TFs to aberrantly regulate the RUNX1 gene program in 11q23 AMLs. Overall design: Genome-wide (ChIP-seq) binding of MLL, AF9, AF4, H3K4me3, H3K27ac, H3K79me2 and RUNX1 in THP-1 and MV4-11 AML cell lines. Expression Profiling (RNA-seq) of THP-1 and MV4-11 cell lines, as well as 5 MLL-AF9 positive patient blasts.

Publication Title

MLL-AF9 and MLL-AF4 oncofusion proteins bind a distinct enhancer repertoire and target the RUNX1 program in 11q23 acute myeloid leukemia.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE44028
Analysis of genes regulated by AS1 and AS2
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

AS1 and AS2 encode MYB related protein and AS2-domain containing protein, respectively and may regulate transcription. These genes are involved in the determination of axes of leaves of Arabidopsis thaliana. To know the gene regulation in the leaf development, expression profile among wild-type, as1 and as2 mutants and AS2 overexpression plants were compaired.

Publication Title

Meta-analyses of microarrays of Arabidopsis asymmetric leaves1 (as1), as2 and their modifying mutants reveal a critical role for the ETT pathway in stabilization of adaxial-abaxial patterning and cell division during leaf development.

Sample Metadata Fields

Specimen part

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accession-icon GSE54820
Strigolactone analogs induce apoptosis through activation of p38 and the stress response pathway in cancer cell lines and in conditionally reprogrammed primary prostate cancer cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Strigolactones are a novel class of plant hormones produced in roots and regulate shoot and root development. We have previously shown that synthetic strigolactone analogues potently inhibit growth of breast cancer cells and breast cancer stem cells. Here we show that strigolactone analogues inhibit the growth and survival of an array of cancer-derived cell lines representing solid and non-solid cancer cells including: prostate, colon, lung, melanoma, osteosarcoma and leukemic cell lines, while normal cells were minimally affected. Furthermore, we tested the response of patient-matched conditionally reprogrammed normal and prostate cancer cells. The tumor cells exhibited significantly higher sensitivity to the two most potent SL analogues with increased apoptosis compared to their normal counterpart cells. Treatment of cancer cells with strigolactone analogues was hallmarked by increased expression and activity of genes involved in stress signaling, cell cycle arrest and apoptosis. All five strigolactone analogues induced G2/M cell cycle arrest, accompanied with a decrease in the expression level of cyclin B1. Apoptosis was marked by increased percentages of cells in the sub-G1 fraction and was confirmed by Annexin V staining. In conditionally reprogramed matched tumor and normal prostate cells, the cleavage of PARP1 confirmed the specific increase in apoptosis of tumor cells. In summary, Strigolactone analogues are promising candidates for anticancer therapy by their ability to specifically induce cell cycle arrest, cellular stress and apoptosis in tumor cells with minimal effects on growth and survival of normal cells.

Publication Title

Strigolactone analogues induce apoptosis through activation of p38 and the stress response pathway in cancer cell lines and in conditionally reprogrammed primary prostate cancer cells.

Sample Metadata Fields

Cell line, Time

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accession-icon GSE112510
Nitrated meat products are associated with mania in humans and altered behavior and brain gene expression in rats
  • organism-icon Rattus norvegicus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Clariom S Assay (clariomsrat)

Description

Mania is a serious neuropsychiatric condition associated with significant morbidity and mortality. Previous studies have suggested that environmental exposures can contribute to mania pathogenesis. We measured dietary exposures in a cohort of individuals with mania and other psychiatric disorders as well as in control individual without a psychiatric disorder. We found that a history of eating nitrated dry cured meat, but not other meat or fish products, was strongly and independently associated with current mania (adjusted odds ratio 3.49, 95% confidence interval (CI) 2.24-5.45, p<8.97x 10-8). Lower odds of association were found between eating nitrated dry cured meat and other psychiatric disorders. We further found that the feeding of meat preparations with added nitrate to rats resulted in alterations in behavior and changes in intestinal microbiota. Rats fed diets with added nitrate also showed alterations of brain pathways dysregulated in mania. These findings may lead to new methods for preventing mania and for developing novel therapeutic interventions

Publication Title

Nitrated meat products are associated with mania in humans and altered behavior and brain gene expression in rats.

Sample Metadata Fields

Sex, Specimen part

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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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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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