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accession-icon GSE7759
Spatial and Temporal Analysis of Gene Expression During Growth and Fusion of the Mouse Facial Prominences
  • organism-icon Mus musculus
  • sample-icon 112 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Growth and patterning of the face relies on several small buds of tissue, the facial prominences, which surround the primitive mouth. Beginning around E10 of mouse development the prominences undergo rapid growth and morphogenesis. By E11.5 the medial nasal prominences are in close apposition in the midline, as are the maxillary and medial nasal prominences on either side of the developing face. Subsequently, by E12.5 the nasal and maxillary prominences fuse to form a continuous shelf at the front of the face - the primary palate. Individual prominences are associated with specific developmental processes, and this is reflected by patterns of differential gene expression that give the prominences their unique identities. Thus, only the mandibular and maxillary prominences give rise to dentition while the frontonasal prominence has a unique role in olfaction, and the mandibular prominence in taste. We used microarrays to detail the differential gene expression program in each of the mandibular, maxillary, and frontonasal prominences during the key developmental timepoints of E10.0 through E12.5.

Publication Title

Spatial and temporal analysis of gene expression during growth and fusion of the mouse facial prominences.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE8191
Key stages in mammary gland development.
  • organism-icon Mus musculus
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

The transition from pregnancy to lactation is a critical event in the survival of the newborn since all the nutrient requirements of the infant are provided by milk. While milk contains numerous components, including proteins, that aid in maintaining the health of the infant, lactose and milk fat represent the critical energy providing elements of milk. Much of the research to date on mammary epithelial differentiation has focused upon expression of milk protein genes, providing a somewhat distorted view of alveolar differentiation and secretory activation. While expression of milk protein genes increases during pregnancy and at secretory activation, the genes whose expression is more tightly regulated at this transition are those that regulate lipid biosynthesis. The sterol regulatory element binding protein (SREBP) family of transcription factors is recognized as regulating fatty acid and cholesterol biosynthesis. We propose that SREBP1 is a critical regulator of secretory activation with regard to lipid biosynthesis, in a manner that responds to diet, and that the serine/threonine protein kinase Akt influences this process, resulting in a highly efficient lipid synthetic organ that is able to support the nutritional needs of the newborn.

Publication Title

Key stages in mammary gland development. Secretory activation in the mammary gland: it's not just about milk protein synthesis!

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE12289
Identifying Significant Temporal Variation in Time Course Microarray Data Without Replicates
  • organism-icon Rattus norvegicus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

An important component of time course microarray studies is the identification of genes that demonstrate significant time-dependent variation in their expression levels. Until recently available methods for performing such significance tests required replicates of individual time points. This paper describes a replicate-free method that was developed as part of a study of the estrous cycle in the rat mammary gland in which no replicate data was collected.

Publication Title

Identifying significant temporal variation in time course microarray data without replicates.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE4222
Metabolic regulation in the lactating mammary gland:A lipid synthesizing machine
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

The mammary gland of the lactating mouse synthesizes and secretes milk lipid equivalent to its entire body weight in a single 20 day lactation cycle, making it one of the most active lipid synthetic organs known. To test the hypothesis that multiple metabolic control points and potential regulatory mechanisms are involved in activating lipid and lactose synthesis at the onset of lactation we compared the mammary transcriptome of 130 genes involved in glucose metabolism between late pregnancy and early lactation and in response to dietary fat. We utilized data obtained from microarray analysis of mammary glands from quadruplicate FVB mice at pregnancy day 17, and lactation day 2. Diets containing 8% or 40% lipid were fed from lactation days 5 to 10 and mammary glands and livers of triplicate FVB mice prepared for microarray analysis. We also compared the metabolome obtained from magnetic resonance spectroscopy of flash frozen glands of the mammary gland at day 17 of pregnancy with that at day 2 of lactation. The results provide a global picture of the multiple metabolic strategies utilized to turn a quiescent organ into an incredibly efficient machine for massive but balanced lipid and lactose synthesis and implicate the transcription factor SREBP-1c in regulation of part of the pathway.

Publication Title

Metabolic regulation in the lactating mammary gland: a lipid synthesizing machine.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE2514
Lung tumors
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 83 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Lung tumors

Publication Title

Analysis of orthologous gene expression between human pulmonary adenocarcinoma and a carcinogen-induced murine model.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE7269
AJ mouse lung carcinogenesis study
  • organism-icon Mus musculus
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2), Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A macrophage gene expression signature defines a field effect in the lung tumor microenvironment.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE7258
Expression data of bronchoalveolar lavage cells from control or urethane treated AJ mice
  • organism-icon Mus musculus
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

AJ mouse is susceptible to lung carcinogenesis from urethane treatment and is a good model for human adenocarcinoma. We completed a study using microarray analysis of bronchoalveolar lavage cells from control or urethane treated mice. A unique macrophage expression signature in the lung tumor microenvironment was able to correctly classify the lavage samples.

Publication Title

A macrophage gene expression signature defines a field effect in the lung tumor microenvironment.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE7244
Expression data from AJ mouse control lung tissue
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

AJ mouse is susceptible to lung carcinogenesis from urethane treatment and is a good model for human adenocarcinoma. We completed a study using microarray analysis to identify a unique macrophage expression signature in the lung tumor microenvironment.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE71010
Complexity and Specificity of the Neutrophil Transcriptome in Diverse Inflammatory States
  • organism-icon Homo sapiens
  • sample-icon 93 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

In this study, we explored transcriptional complexity in human neutrophils, cells generally regarded as nonspecific in their functions and responses. We studied distinct human disease phenotypes and found that, at the gene, gene isoform, and miRNA level, neutrophils exhibit considerable specificity in their transcriptomes. These findings were particularly striking for isoform usage. Thus, even cells whose responses are considered non-specific show tailoring of their transcriptional repertoire toward specific physiologic or pathologic contexts. These findings have important implications for our understanding of the link between gene expression and disease phenotypes.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE94354
Modeling Transcriptional Rewiring in Neutrophils through the Course of Treated Juvenile Idiopathic Arthritis
  • organism-icon Homo sapiens
  • sample-icon 68 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Neutrophils in children with the polyarticular form of juvenile idiopathic arthritis (JIA) display abnormal transcriptional patterns linked to fundamental metabolic derangements. These abnormalities include re-ordering of miRNA-RNA expression networks. In this study, we sought to determine the effects of therapy on miRNA-RNA networks in polyarticular JIA. We studied children with active JIA disease on therapy (ADM), children with inactive disease also on therapy (ID), and children with clinical remission on medication (CRM) using exon and miRNA microarrays and compared results to findings from healthy control (HC) children. We found substantial re-ordering of miRNA-RNA networks after the initiation of therapy. Each disease state was associated with a distinct transcriptional profile.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Disease stage

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)

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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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