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accession-icon GSE92769
Genome-wide mapping of expression in WT and p63 mutant mouse mandibular prominences at E10-E13
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Despite even large phenotypic differences among vertebrate groups, dentitions and jaws fit and function together, yet the genetic processes that orchestrate cranial and dental morphogenesis remain poorly understood. In the p63-/- mouse mutant, teeth but not jaws fail to form. This edentate mouse is a model with which to tease out genes important for odontogenesis but not jaw morphogenesis, and which may thus allow dentitions to change during development and evolution without necessarily affecting the jaw skeleton. With the working hypothesis that tooth and jaw development are autonomously controlled by discreet gene regulatory networks, we probed for genes crucial for tooth development only. Using gene expression microarray assays validated by quantitative reverse-transcription PCR, we contrasted expression in mandibular prominences at embryonic days (E) 10-13 among mice with normal lower jaw development and either normal (p63+/-, p63+/+) or arrested (p63-/-) tooth development. We predicted that expression of a suite of genes specific to odontogenesis would differ in the edentate mice. The p63-/- mice showed significantly different expression (fold change 1.5, -1.5; p0.05) of several genes, some of which are already reported to help regulate odontogenesis (e.g., p63, Osr2, Cldn3/4) and/or to be targets of p63 (e.g., Jag1/2, Fgfr2), others of which have no previously reported roles in odontogenesis or the p63 pathway (e.g, Fermt1, Cbln1, Pltp, Cxcl14, Krt8, and additional keratin and claudin family members). As expected, from E10-E13 few genes known to regulate mandible morphogenesis differed in expression between mouse strains. Thus this study links for the first time several genes to odontogenesis and/or the p63 signaling network. We propose that these genes act in a novel odontogenic network that is exclusive of lower jaw morphogenesis, and posit that this network evolved in oral, not pharyngeal, teeth.

Publication Title

Detangling the evolutionary developmental integration of dentate jaws: evidence that a p63 gene network regulates odontogenesis exclusive of mandible morphogenesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE19109
Differential gene expression profiling from Arabidopsis thaliana wild type (Columbia-0) and lht1 mutant leaves
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

We found that amino acid transporter LHT1 was required for negatively regulating plant defence responses in addition to its physiological role in development and growth. In order to identify which defense pathways were involved in this process, we compared the expression profiles between wild type and lht1 mutant leaves without or with infection by Pseudomonas syringae pv. tomato DC3000 (Pst). In the lht1 mutant, except the changes in nitrogen metabolism-, cellular redox-, and photorespiration-associated gene expressions, the most drastic upregulations were found in the salicylic acid pathway-associated defense genes.

Publication Title

Amino acid homeostasis modulates salicylic acid-associated redox status and defense responses in Arabidopsis.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE58997
Expression data from livers from Sco1 liver-specific KO and WT adult mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Sco1 is a gene required for cytochrome c oxidase biogenesis and the regulation of copper homeostasis. We characterized the transcriptional changes that occur as a result of liver-specific deletion of Sco1 in mice at 27 days of age

Publication Title

The Mitochondrial Metallochaperone SCO1 Is Required to Sustain Expression of the High-Affinity Copper Transporter CTR1 and Preserve Copper Homeostasis.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE51857
CREB3L1 is a metastasis suppressor that represses expression of genes regulating metastasis, invasion and angiogenesis
  • organism-icon Homo sapiens, Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

CREB3L1 is a metastasis suppressor that represses expression of genes regulating metastasis, invasion, and angiogenesis.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE51708
Effects of CREB3L1 on gene expression
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The unfolded protein response (UPR) is activated in response to hypoxia-induced stress such as in the tumor microenvironment. This study examined the role of CREB3L1 (cAMP-responsive element-binding protein 3-like protein 1), a member of the UPR, in breast cancer development and metastasis. Initial experiments identified the loss of CREB3L1 expression in metastatic breast cancer cell lines compared to low- or non-metastatic cell lines. When metastatic cells were transfected with CREB3L1 they demonstrated reduced invasion and migration in vitro, as well as a significantly decreased ability to survive under non-adherent or hypoxic conditions. Interestingly, in an in vivo rat mammary tumor model, CREB3L1 expressing cells not only failed to form metastases compared to CREB3L1 null cells but regression of the primary tumors was seen in 70% of the animals as a result of impaired angiogenesis. Microarray and ChIP on Chip analyses identified changes in the expression of many genes involved in cancer development and metastasis, including a decrease in those involved in angiogenesis. These data suggest that CREB3L1 plays an important role in suppressing tumorgenesis and loss of expression is required for the development of a metastatic phenotype.

Publication Title

CREB3L1 is a metastasis suppressor that represses expression of genes regulating metastasis, invasion, and angiogenesis.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE73072
Host gene expression signatures of H1N1, H3N2, HRV, RSV virus infection in adults
  • organism-icon Homo sapiens
  • sample-icon 2886 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Consider the problem of designing a panel of complex biomarkers to predict a patient's health or disease state when one can pair his or her current test sample, called a target sample, with the patient's previously acquired healthy sample, called a reference sample. As contrasted to a population averaged reference, this reference sample is individualized. Automated predictor algorithms that compare and contrast the paired samples to each other could result in a new generation of test panels that compare to a person's healthy reference to enhance predictive accuracy. This study develops such an individualized predictor and illustrates the added value of including the healthy reference for design of predictive gene expression panels. The objective is to predict each subject's state of infection, e.g., neither exposed nor infected, exposed but not infected, pre-acute phase of infection, acute phase of infection, post-acute phase of infection. Using gene microarray data collected in a large-scale serially sampled respiratory virus challenge study, we quantify the diagnostic advantage of pairing a person's baseline reference with his or her target sample.

Publication Title

An individualized predictor of health and disease using paired reference and target samples.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon GSE138914
Gene expression data from lymphoblastoid cell lines from African American participants in the GENOA study
  • organism-icon Homo sapiens
  • sample-icon 711 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

African-American individuals of the GENOA cohort

Publication Title

Genetic Architecture of Gene Expression in European and African Americans: An eQTL Mapping Study in GENOA.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE18927
University of Washington Human Reference Epigenome Mapping Project
  • organism-icon Homo sapiens
  • sample-icon 97 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

The NIH Roadmap Epigenomics Mapping Consortium aims to produce a public resource of epigenomic maps for stem cells and primary ex vivo tissues selected to represent the normal counterparts of tissues and organ systems frequently involved in human disease.

Publication Title

The NIH Roadmap Epigenomics Mapping Consortium.

Sample Metadata Fields

Sex, Specimen part, Disease, Subject

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accession-icon GSE30211
Gene expression changes during Type 1 diabetes pathogenesis
  • organism-icon Homo sapiens
  • sample-icon 724 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip, Affymetrix Human Genome U219 Array (hgu219)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Innate immune activity is detected prior to seroconversion in children with HLA-conferred type 1 diabetes susceptibility.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE45642
Circadian patterns of gene expression in the human brain and disruption in major depressive disorder [control set]
  • organism-icon Homo sapiens
  • sample-icon 667 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

A cardinal symptom of Major Depressive Disorder (MDD) is the disruption of circadian patterns. Yet, to date, there is no direct evidence of circadian clock dysregulation in the brains of MDD patients. Circadian rhythmicity of gene expression has been observed in animals and peripheral human tissues, but its presence and variability in the human brain was difficult to characterize. Here we applied time-of-death analysis to gene expression data from high-quality postmortem brains, examining 24-hour cyclic patterns in six cortical and limbic regions of 55 subjects with no history of psychiatric or neurological illnesses ('Controls') and 34 MDD patients. Our dataset covered ~12,000 transcripts in the dorsolateral prefrontal cortex (DLPFC), anterior cingulate cortex (AnCg), hippocampus (HC), amygdala (AMY), nucleus accumbens (NAcc) and cerebellum (CB). Several hundred transcripts in each region showed 24-hour cyclic patterns in Controls, and >100 transcripts exhibited consistent rhythmicity and phase-synchrony across regions. Among the top ranked rhythmic genes were the canonical clock genes BMAL1(ARNTL), PER1-2-3, NR1D1(REV-ERB), DBP, BHLHE40(DEC1), and BHLHE41(DEC2). The phasing of known circadian genes was consistent with data derived from other diurnal mammals. Cyclic patterns were much weaker in MDD brains, due to shifted peak timing and potentially disrupted phase relationships between individual circadian genes. This is the first transcriptome-wide analysis of cyclic patterns in the human brain and demonstrates a rhythmic rise and fall of gene expression in regions outside of the suprachiasmatic nucleus in control subjects. The description of its breakdown in MDD suggest novel molecular targets for treatment of mood disorders.

Publication Title

Circadian patterns of gene expression in the human brain and disruption in major depressive disorder.

Sample Metadata Fields

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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