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accession-icon GSE43651
Regulation of the epithelial adhesion molecule CEACAM1 is essential for palate formation.
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Cleft palate results from a mixture of genetic and environmental factors and occurs when the bilateral palatal shelves fail to fuse. The objective of this study was to search for new genes involved in mouse palate formation. Gene expression of murine embryonic palatal tissue was analyzed at the various developmental stages before, during, and after palate fusion using GeneChip? microarrays. Ceacam1 was one of the highly up-regulated genes during and after fusion in palate formation, and this was confirmed by quantitative real-time PCR. Immunohistochemical staining showed that CEACAM1 was expressed at a very low level in palatal epithelium before fusion, but highly expressed in the midline of the palate during and after fusion. To investigate the developmental role of CEACAM1, function-blocking antibody was added to embryonic mouse palate in organ culture. Palatal fusion was inhibited by this function-blocking antibody. To investigate the subsequent developmental role of CEACAM1, we characterized Ceacam1-deficient (Ceacam1-/-) mice. Epithelial cells persisted abnormally at the midline of the embryonic palate even on day E16.0, and palatal fusion was delayed in Ceacam1-/- mice. TGF?3 expression, apoptosis, and cell proliferation in palatal epithelium were not effected in the palate of Ceacam1-/-mice. CEACAM1 expression was down-regulated in Tgfb3-/- palate. However, exogenous TGF?3 did not induce CEACAM1 expression. These results suggest that CEACAM1 has roles in both the initiation of palate formation via epithelial cell adhesion and TGF signaling has some indirect effect on CEACAM1.

Publication Title

Regulation of the epithelial adhesion molecule CEACAM1 is important for palate formation.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE50438
Diurnal cycle effect on whole leaf, mesophyll and vasculature: time course
  • organism-icon Arabidopsis thaliana
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Arabidopsis Gene 1.0 ST Array (aragene10st)

Description

Many organisms acquired circadian clock system to adapt daily and seasonal environmental changes. Mammals have the master clock in the brains suprachiasmatic nucleus (SCN) that synchronizes other circadian clocks in the peripheral tissues or organs. Plants also have circadian clock in their bodies, but the presence of the tissue-specific functions of circadian clock is remained elusive. The aim of this experiment is to compare tissue-specific gene expression profile using gene expression Microarray.

Publication Title

Tissue-specific clocks in Arabidopsis show asymmetric coupling.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE53751
Gene expression profile of human epidermal keratinocytes in response to IFNgamma, IL-4, IL-6, IL-17A and IL-22
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To understand the role of epidermal keratinocytes in immunopathology of skin diseases with predominant T helper (Th) cell responses, we measured the genome-wide transcriptional profile of human keratinocytes in response to IFNgamma, IL-4, IL-17A or IL-22, major cytokines produced by Th1, Th2, Th17 or Th22 cells, respectively.

Publication Title

Keratinocyte-derived IL-24 plays a role in the positive feedback regulation of epidermal inflammation in response to environmental and endogenous toxic stressors.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE25334
Asymmetric self-renewal associated (ASRA) genes
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Cell lines geneticially engineered to undergo conditional asymmetric self-renewal were used to identify genes whose expression is asymmetric self-renewal associated (ASRA). Non-random sister chromatid segregation occurs concordantly with asymmetric self-renewal in these cell lines.

Publication Title

A resource for discovering specific and universal biomarkers for distributed stem cells.

Sample Metadata Fields

Cell line

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accession-icon SRP044086
Histone H3.3 is required for endogenous retroviral element silencing and genome stability [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Endogenous retroviruses (ERVs) have provided an evolutionary advantage in the diversification of transcript regulation and are thought to be involved in the establishment of extraembryonic tissues during development. However, silencing of these elements remains critical for the maintenance of genome stability. Here, we define a new chromatin state that is uniquely characterized by the combination of the histone variant H3.3 and H3K9me3, two chromatin ‘marks’ that have previously been considered to belong to fundamentally opposing chromatin states. H3.3/H3K9me3 heterochromatin is fundamentally distinct from ‘canonical’ H3K9me3 heterochromatin that has been under study for decades and this unique functional interplay of a histone variant and a repressive histone mark is crucial for silencing ERVs in ESCs. Our study solidifies the emerging notion that H3.3 is not a histone variant associated exclusively with “active” chromatin and further suggests that its incorporation at unique heterochromatic regions may be central to its function during development and the maintenance of genome stability. Overall design: RNA-seq analysis of three embryonic stem cell lines WT, H3.3 KO1, and H3.3 KO2)

Publication Title

Histone H3.3 is required for endogenous retroviral element silencing in embryonic stem cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE52024
Genome wide analysis of transcriptome and microRNAs in early stage of Alzheimer's disease
  • organism-icon Mus musculus
  • sample-icon 8 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

Prediction of miRNA-mRNA associations in Alzheimer's disease mice using network topology.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE52022
Genome wide analysis of transcriptome and microRNAs in early stage of Alzheimers disease (mRNA)
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We addressed the integrated analysis of mRNA and miRNA expression levels of Tg6799 AD model mice at 4 month and 8 months of age. Total 8 gene cluster modules for co-expression network were predicted from transcriptome data and 6 modules were show relation with AD or aging. We constructed early stage AD network using data integration between mRNA and miRNA profiles and predicted miRNAs strongly involved in module regulation. We found that ARRDC3 showed AD mutation dependent changes of expression and was related metabolic dysfunction in early stage AD.

Publication Title

Prediction of miRNA-mRNA associations in Alzheimer's disease mice using network topology.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE43748
Transcriptional profiles of psychostimulant reinforcement in rats
  • organism-icon Rattus norvegicus
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Drug-induced alterations in transcriptional regulation play a central role in establishing the persistent neuroplasticities that occur during drug addiction. Additionally, changes in gene expression associated with drug administration provide valuable insight into the molecular basis of drug abuse. The molecular mechanisms that underlie susceptibility to psychostimulant addiction remain unknown. Identifying the common gene transcriptional responses to psychostimulants can provide a mechanistic insight to elucidate the molecular nature of drug dependence.

Publication Title

Neuronal development genes are key elements mediating the reinforcing effects of methamphetamine, amphetamine, and methylphenidate.

Sample Metadata Fields

Specimen part

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accession-icon GSE17639
The human reticulocyte transcriptome (HG-U133_Plus2.0)
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

RNA from circulating blood reticulocytes was utilized to provide a robust description of genes transcribed at the final stages of erythroblast maturation. After depletion of leukocytes and platelets, Affymetrix HG-U133Plus 2.0 arrays were hybridized with probe from total RNA isolated from blood sampled from 6 umbilical cords and 6 healthy adult humans.

Publication Title

Let-7 microRNAs are developmentally regulated in circulating human erythroid cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP162023
HantavaxTM vaccinated peripheral blood mononuclear cells (PBMCs) and sera analyses by transcriptomic and metabolomic profilings
  • organism-icon Homo sapiens
  • sample-icon 74 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: To annotate vaccine-induced protective immunity following vaccination and identify the dynamics of enriched modules over time, and determine whether and how transcriptomics and metabolomics data correlates. charge ratio) within a range of ions set from 50 to 1,000 from mass spectral data. The data from triplicate run were averaged and statistically analysed using SIMCA 14.1 Results: Based on neutralizing antibody titers, subjects were subsequently classified into three groups; non responders (NRs), low responders (LRs) and high responders (HRs). Post vaccination differentially expressed genes (DEGs) associated with innate immunity and cytokine pathways were highly upregulated. DEG analysis revealed a significant induction of CD69 expression in the HRs. High resolution metabolomics (HRM) analysis showed that correlated to the antibody response, cholesteryl nitrolinoleate and octanoyl-carnitine were significantly elevated in HRs, while chenodeoxycholic acid and methyl palmitate were upregulated in NRs and LRs, but not HRs. Additionally, gene-metabolite interaction revealed upregulated gene-metabolite couplings in, folate biosynthesis, nicotinate and nicotinamide, arachidonic acid, thiamine and pyrimidine metabolism in a dose dependent manner in HR group. Conclusions: Our data provide new insight into the underlying mechanisms of the HantavaxTM-mediated immunogenicity in humans. Our study illustrate the potential for transcriptomics and untargeted metabolomics to identify genes and metabolites involved in immune responses which may propose a targeted vaccine design in future. Overall design: Systems vaccinology analyses were performed based on two different approaches: vaccination instance and responsiveness to the vaccine. In our study we vaccinated a total of 20 subjects with 4 doses. However, 1 subject (subject or sample # 3) was excluded from transcriptomic study after first vaccination due to abnormal antibody titer. Hence, we have 19 subjects vaccinated 4 time but the samples were collected before 1st and after 2nd, 3rd and 4th vaccination (i.e., sample collections was performed at 4 time points). This Series contains a total of 76 samples (19 x 4).

Publication Title

A Systems Vaccinology Approach Reveals the Mechanisms of Immunogenic Responses to Hantavax Vaccination in Humans.

Sample Metadata Fields

Sex, Age, Specimen part, 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)

fund-icon Fund the 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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