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Mus musculus, Homo sapiens
158 Downloadable Samples
Affymetrix Human Genome U133A Array (hgu133a)
Description
The tissue-specific pattern of mRNA expression can indicate important clues about gene function. High-density oligonucleotide arrays offer the opportunity to examine patterns of gene expression on a genome scale. Toward this end, we have designed custom arrays that interrogate the expression of the vast majority of protein-encoding human and mouse genes and have used them to profile a panel of 79 human and 61 mouse tissues. The resulting data set provides the expression patterns for thousands of predicted genes, as well as known and poorly characterized genes, from mice and humans. We have explored this data set for global trends in gene expression, evaluated commonly used lines of evidence in gene prediction methodologies, and investigated patterns indicative of chromosomal organization of transcription. We describe hundreds of regions of correlated transcription and show that some are subject to both tissue and parental allele-specific expression, suggesting a link between spatial expression and imprinting.
Publication Title
A gene atlas of the mouse and human protein-encoding transcriptomes.
Sample Metadata Fields
No sample metadata fields
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GSE10246- Mus musculus
- 181 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority of these experiments have focused on specific biological processes and perturbations. Here, we profiled gene expression from a diverse array of normal tissues, organs, and cell lines in mice. Keywords: multiple tissues
Publication Title
Expression analysis of G Protein-Coupled Receptors in mouse macrophages.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 168 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
In the present investigation, we have exploited the opportunity provided by neoadjuvant treatment of a group of postmenopausal women with large operable or locally advanced breast cancer (in which therapy is given with the primary tumour remaining within the breast) to take sequential biopsies of the same cancers before and after 10-14 days or 90 days treatment with letrozole. RNA extracted from the biopsies has been subjected to Affymetrix microarray analysis and the data from paired biopsies interrogated to discover genes whose expression is most influenced by oestrogen deprivation.
Publication Title
Sequential changes in gene expression profiles in breast cancers during treatment with the aromatase inhibitor, letrozole.
Sample Metadata Fields
Sex, Specimen part, Subject, Time
View Samples- Rattus norvegicus
- 122 Downloadable Samples
- Affymetrix Rat Genome U34 Array (rgu34a)
Description
Large scale transcriptome analysis of Wistar and Sprague Dawley rat tissues.
Publication Title
Applications of a rat multiple tissue gene expression data set.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 113 Downloadable Samples
Affymetrix Human Genome U133A Array (hgu133a)
Description
In the present investigation, we have exploited the opportunity provided by neoadjuvant treatment of a group of postmenopausal women with large operable or locally advanced breast cancer (in which therapy is given with the primary tumour remaining within the breast) to take sequential biopsies of the same cancers before and after 10-14 days treatment with letrozole. RNA extracted from the biopsies has been subjected to Affymetrix microarray analysis and the data from paired biopsies interrogated to discover genes whose expression is most influenced by oestrogen deprivation.
Publication Title
Changes in breast cancer transcriptional profiles after treatment with the aromatase inhibitor, letrozole.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 88 Downloadable Samples
- Affymetrix Murine Genome U74A Array (mgu74a)
Description
High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority of these experiments have focused on specific biological processes and perturbations. Here, we have generated and analyzed gene expression from a set of samples spanning a broad range of biological conditions. Specifically, we profiled gene expression from 91 human and mouse samples across a diverse array of tissues, organs, and cell lines. Because these samples predominantly come from the normal physiological state in the human and mouse, this dataset represents a preliminary, but substantial, description of the normal mammalian transcriptome. We have used this dataset to illustrate methods of mining these data, and to reveal insights into molecular and physiological gene function, mechanisms of transcriptional regulation, disease etiology, and comparative genomics. Finally, to allow the scientific community to use this resource, we have built a free and publicly accessible website (http://biogps.gnf.org) that integrates data visualization and curation of current gene annotations.
Publication Title
Large-scale analysis of the human and mouse transcriptomes.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 85 Downloadable Samples
- Affymetrix Human Genome U95A Array (hgu95a)
Description
High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority of these experiments have focused on specific biological processes and perturbations. Here, we have generated and analyzed gene expression from a set of samples spanning a broad range of biological conditions. Specifically, we profiled gene expression from 91 human and mouse samples across a diverse array of tissues, organs, and cell lines. Because these samples predominantly come from the normal physiological state in the human and mouse, this dataset represents a preliminary, but substantial, description of the normal mammalian transcriptome. We have used this dataset to illustrate methods of mining these data, and to reveal insights into molecular and physiological gene function, mechanisms of transcriptional regulation, disease etiology, and comparative genomics. Finally, to allow the scientific community to use this resource, we have built a free and publicly accessible website (http://expression.gnf.org) that integrates data visualization and curation of current gene annotations.
Publication Title
Large-scale analysis of the human and mouse transcriptomes.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 50 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
We used microarray-based expression genomics in 25 inbred mouse strains to identify dorsal root ganglion (DRG)-expressed genetic contributors to mechanical allodynia a prominent symptom of chronic pain.
Publication Title
The nicotinic α6 subunit gene determines variability in chronic pain sensitivity via cross-inhibition of P2X2/3 receptors.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Mus musculus
- 44 Downloadable Samples
- Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)
Description
We have combined large-scale mRNA expression and gene mapping methods to identify genes and loci that control hematopoietic stem cell (HSC) functioning. mRNA expression levels were measured in purified HSC isolated from a panel of densely genotyped recombinant inbred mouse strains. Quantitative trait loci (QTLs) associated with variation in expression of thousands of transcripts were mapped. Comparison of the physical transcript position with the location of the controlling QTL identified polymorphic cis-acting stem cell genes. In addition, multiple trans-acting control loci were highlighted that modify expression of large numbers of genes. These groups of co-regulated transcripts identify pathways that specify variation in stem cells. We illustrate this concept with the identification of strong candidate genes involved with HSC turnover. We compared expression QTLs in HSC and brain from the same animals, and document both shared and tissue-specific QTLs. Our data are accessible through WebQTL, a web-based interface that allows custom genetic linkage analysis and identification of co-regulated transcripts.
Publication Title
Uncovering regulatory pathways that affect hematopoietic stem cell function using 'genetical genomics'.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 26 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Total RNA was extracted from apratoxin A or vehicle treated HT29 cells using the RNeasy Mini Kit (Qiagen). Probe values from CEL files were condensed to probe sets using Rosetta Resolver software. Resolver ANOVA analysis was then performed between groups.
Publication Title
A functional genomics approach to the mode of action of apratoxin A.
Sample Metadata Fields
No sample metadata fields
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