GNF Mouse GeneAtlas V3
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE10246 | GEO | 2008/04/29
SECONDARY ACCESSION(S): PRJNA108431
REPOSITORIES: GEO
Similar Datasets
Project 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.
2007-12-19 | E-GEOD-97 | biostudies-arrayexpress
Project 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. Keywords: other. This dataset is part of the TransQST collection.
2002-12-06 | E-GEOD-96 | biostudies-arrayexpress
Project 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. Keywords: other
2002-12-06 | GSE97 | GEO
Project 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. Keywords: other
2002-12-06 | GSE96 | GEO
Project 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. The terms of the Novartis data release policy prevent us from redistributing .cel files for this experiment, therefore there is no raw data, we hope to be able to release this in future.
2002-03-19 | E-MEXP-18 | biostudies-arrayexpress
Project description:As genome-scale DNA methylation sequencing technologies have improved it has become apparent that tissue-specific methylation can occur not only at promoters, enhancers, and CpG islands but also over larger genomic regions. In most human tissues, the vast majority of the genome is highly methylated (>70%). However, genomic sequencing of bisulfite-treated DNA (MethylC-seq) has revealed large partially methylated domains (PMDs) in some human cell lines. However, to date only cultured cells and some cancers have shown evidence for PMDs, suggesting that PMDs may not be observed in normal human tissues. Here we performed MethylC-seq in a set of human tissues and found that full-term human placenta shows clear evidence of PMDs. Examination of gene expression in human placenta using RNA-seq, with one biological replicate (taken from same placenta)
2013-03-28 | E-GEOD-39776 | biostudies-arrayexpress
Project description:As genome-scale DNA methylation sequencing technologies have improved it has become apparent that tissue-specific methylation can occur not only at promoters, enhancers, and CpG islands but also over larger genomic regions. In most human tissues, the vast majority of the genome is highly methylated (>70%). However, genomic sequencing of bisulfite-treated DNA (MethylC-seq) has revealed large partially methylated domains (PMDs) in some human cell lines. However, to date only cultured cells and some cancers have shown evidence for PMDs, suggesting that PMDs may not be observed in normal human tissues. Here we performed MethylC-seq in a set of human tissues and found that full-term human placenta shows clear evidence of PMDs. Examination of four human tissue samples by MethylC-seq, with one tissue (placenta) having a technical replicate (taken from same placenta) and two additional biological replicates (from different placentas)
2013-03-28 | E-GEOD-39775 | biostudies-arrayexpress
Project description:As genome-scale DNA methylation sequencing technologies have improved it has become apparent that tissue-specific methylation can occur not only at promoters, enhancers, and CpG islands but also over larger genomic regions. In most human tissues, the vast majority of the genome is highly methylated (>70%). However, genomic sequencing of bisulfite-treated DNA (MethylC-seq) has revealed large partially methylated domains (PMDs) in some human cell lines. However, to date only cultured cells and some cancers have shown evidence for PMDs, suggesting that PMDs may not be observed in normal human tissues. Here we performed MethylC-seq in a set of human tissues and found that full-term human placenta shows clear evidence of PMDs.
2013-03-28 | GSE39776 | GEO
Project description:As genome-scale DNA methylation sequencing technologies have improved it has become apparent that tissue-specific methylation can occur not only at promoters, enhancers, and CpG islands but also over larger genomic regions. In most human tissues, the vast majority of the genome is highly methylated (>70%). However, genomic sequencing of bisulfite-treated DNA (MethylC-seq) has revealed large partially methylated domains (PMDs) in some human cell lines. However, to date only cultured cells and some cancers have shown evidence for PMDs, suggesting that PMDs may not be observed in normal human tissues. Here we performed MethylC-seq in a set of human tissues and found that full-term human placenta shows clear evidence of PMDs.
2013-03-28 | GSE39775 | GEO
Project description:Tapping panel dryness (TPD) in rubber tree has become the most severe restricting factor of natural rubber production. To date, there is no effective measures to prevent and control TPD. Previous studies were focused on analyzing the molecular mechanism underlying TPD occurrence. However, few researches have been carried out about the mechanism of TPD recovery.
2024-11-06 | PXD057557 |