Transcriptomic study of mouse embryonic neural stem cell differentiation under ethanol treatment.Top 50 up and top 50 down regulated genes from microarray analysis. Fold change uploaded. Study identified 496 differentially expressed, author contacted for full list.
Authors:
Mandal C, Park JH, Choi MR, Kim SH, Badejo AC, Chai JC, Lee YS, Jung KH, Chai YG
Gene Ontology (GO) gene set. This set contains genes that have been annotated to the GO term "response to external biotic stimulus", which is defined as "Any process that results in a change in state or activity of a cell or an organism (in terms of movement, secretion, enzyme production, gene expression, etc.) as a result of an external biotic stimulus, an external stimulus caused by, or produced by living things." This gene set was automatically constructed using annotation and ontology data provided by GO and only includes annotations with experimental and curatorial evidence codes (EXP, IDA, IPI, IMP, IGI, IEP, TAS, IC). The transitive closure of this term is taken into account using is_a and part_of relationships. For more information: The Gene Ontology Consortium (GOC), http://geneontology.org This gene set was generated using the GeneWeaver GO loader v. 0.2.12.
Authors:
M Ashburner, CA Ball, JA Blake, D Botstein, H Butler, JM Cherry, AP Davis, K Dolinski, SS Dwight, JT Eppig, MA Harris, DP Hill, L Issel-Tarver, A Kasarskis, S Lewis, JC Matese, JE Richardson, M Ringwald, GM Rubin, G Sherlock
Gene Ontology (GO) gene set. This set contains genes that have been annotated to the GO term "biological_process", which is defined as "A biological process represents a specific objective that the organism is genetically programmed to achieve. Biological processes are often described by their outcome or ending state, e.g., the biological process of cell division results in the creation of two daughter cells (a divided cell) from a single parent cell. A biological process is accomplished by a particular set of molecular functions carried out by specific gene products (or macromolecular complexes), often in a highly regulated manner and in a particular temporal sequence." This gene set was automatically constructed using annotation and ontology data provided by GO and only includes annotations with experimental and curatorial evidence codes (EXP, IDA, IPI, IMP, IGI, IEP, TAS, IC). The transitive closure of this term is taken into account using is_a and part_of relationships. For more information: The Gene Ontology Consortium (GOC), http://geneontology.org This gene set was generated using the GeneWeaver GO loader v. 0.2.12.
Authors:
M Ashburner, CA Ball, JA Blake, D Botstein, H Butler, JM Cherry, AP Davis, K Dolinski, SS Dwight, JT Eppig, MA Harris, DP Hill, L Issel-Tarver, A Kasarskis, S Lewis, JC Matese, JE Richardson, M Ringwald, GM Rubin, G Sherlock
Gene Ontology (GO) gene set. This set contains genes that have been annotated to the GO term "response to biotic stimulus", which is defined as "Any process that results in a change in state or activity of a cell or an organism (in terms of movement, secretion, enzyme production, gene expression, etc.) as a result of a biotic stimulus, a stimulus caused or produced by a living organism." This gene set was automatically constructed using annotation and ontology data provided by GO and only includes annotations with experimental and curatorial evidence codes (EXP, IDA, IPI, IMP, IGI, IEP, TAS, IC). The transitive closure of this term is taken into account using is_a and part_of relationships. For more information: The Gene Ontology Consortium (GOC), http://geneontology.org This gene set was generated using the GeneWeaver GO loader v. 0.2.12.
Authors:
M Ashburner, CA Ball, JA Blake, D Botstein, H Butler, JM Cherry, AP Davis, K Dolinski, SS Dwight, JT Eppig, MA Harris, DP Hill, L Issel-Tarver, A Kasarskis, S Lewis, JC Matese, JE Richardson, M Ringwald, GM Rubin, G Sherlock
Gene Ontology (GO) gene set. This set contains genes that have been annotated to the GO term "response to external stimulus", which is defined as "Any process that results in a change in state or activity of a cell or an organism (in terms of movement, secretion, enzyme production, gene expression, etc.) as a result of an external stimulus." This gene set was automatically constructed using annotation and ontology data provided by GO and only includes annotations with experimental and curatorial evidence codes (EXP, IDA, IPI, IMP, IGI, IEP, TAS, IC). The transitive closure of this term is taken into account using is_a and part_of relationships. For more information: The Gene Ontology Consortium (GOC), http://geneontology.org This gene set was generated using the GeneWeaver GO loader v. 0.2.12.
Authors:
M Ashburner, CA Ball, JA Blake, D Botstein, H Butler, JM Cherry, AP Davis, K Dolinski, SS Dwight, JT Eppig, MA Harris, DP Hill, L Issel-Tarver, A Kasarskis, S Lewis, JC Matese, JE Richardson, M Ringwald, GM Rubin, G Sherlock
Gene Ontology (GO) gene set. This set contains genes that have been annotated to the GO term "response to bacterium", which is defined as "Any process that results in a change in state or activity of a cell or an organism (in terms of movement, secretion, enzyme production, gene expression, etc.) as a result of a stimulus from a bacterium." This gene set was automatically constructed using annotation and ontology data provided by GO and only includes annotations with experimental and curatorial evidence codes (EXP, IDA, IPI, IMP, IGI, IEP, TAS, IC). The transitive closure of this term is taken into account using is_a and part_of relationships. For more information: The Gene Ontology Consortium (GOC), http://geneontology.org This gene set was generated using the GeneWeaver GO loader v. 0.2.12.
Authors:
M Ashburner, CA Ball, JA Blake, D Botstein, H Butler, JM Cherry, AP Davis, K Dolinski, SS Dwight, JT Eppig, MA Harris, DP Hill, L Issel-Tarver, A Kasarskis, S Lewis, JC Matese, JE Richardson, M Ringwald, GM Rubin, G Sherlock
Gene Ontology (GO) gene set. This set contains genes that have been annotated to the GO term "response to other organism", which is defined as "Any process that results in a change in state or activity of a cell or an organism (in terms of movement, secretion, enzyme production, gene expression, etc.) as a result of a stimulus from another living organism." This gene set was automatically constructed using annotation and ontology data provided by GO and only includes annotations with experimental and curatorial evidence codes (EXP, IDA, IPI, IMP, IGI, IEP, TAS, IC). The transitive closure of this term is taken into account using is_a and part_of relationships. For more information: The Gene Ontology Consortium (GOC), http://geneontology.org This gene set was generated using the GeneWeaver GO loader v. 0.2.12.
Authors:
M Ashburner, CA Ball, JA Blake, D Botstein, H Butler, JM Cherry, AP Davis, K Dolinski, SS Dwight, JT Eppig, MA Harris, DP Hill, L Issel-Tarver, A Kasarskis, S Lewis, JC Matese, JE Richardson, M Ringwald, GM Rubin, G Sherlock
Gene Ontology (GO) gene set. This set contains genes that have been annotated to the GO term "interspecies interaction between organisms", which is defined as "Any process in which an organism has an effect on an organism of a different species." This gene set was automatically constructed using annotation and ontology data provided by GO and only includes annotations with experimental and curatorial evidence codes (EXP, IDA, IPI, IMP, IGI, IEP, TAS, IC). The transitive closure of this term is taken into account using is_a and part_of relationships. For more information: The Gene Ontology Consortium (GOC), http://geneontology.org This gene set was generated using the GeneWeaver GO loader v. 0.2.12.
Authors:
M Ashburner, CA Ball, JA Blake, D Botstein, H Butler, JM Cherry, AP Davis, K Dolinski, SS Dwight, JT Eppig, MA Harris, DP Hill, L Issel-Tarver, A Kasarskis, S Lewis, JC Matese, JE Richardson, M Ringwald, GM Rubin, G Sherlock
Gene Ontology (GO) gene set. This set contains genes that have been annotated to the GO term "response to stimulus", which is defined as "Any process that results in a change in state or activity of a cell or an organism (in terms of movement, secretion, enzyme production, gene expression, etc.) as a result of a stimulus. The process begins with detection of the stimulus and ends with a change in state or activity or the cell or organism." This gene set was automatically constructed using annotation and ontology data provided by GO and only includes annotations with experimental and curatorial evidence codes (EXP, IDA, IPI, IMP, IGI, IEP, TAS, IC). The transitive closure of this term is taken into account using is_a and part_of relationships. For more information: The Gene Ontology Consortium (GOC), http://geneontology.org This gene set was generated using the GeneWeaver GO loader v. 0.2.12.
Authors:
M Ashburner, CA Ball, JA Blake, D Botstein, H Butler, JM Cherry, AP Davis, K Dolinski, SS Dwight, JT Eppig, MA Harris, DP Hill, L Issel-Tarver, A Kasarskis, S Lewis, JC Matese, JE Richardson, M Ringwald, GM Rubin, G Sherlock
Alcohol transcriptome changes in mice microglia p-value
Description:
Microglia are fundamentally important immune cells within the central nervous system (CNS) that respond to environmental challenges to maintain normal physiological processes. Alterations in steady-state cellular function and over-activation of microglia can facilitate the initiation and progression of neuropathological conditions such as Alzheimer’s disease, Multiple Sclerosis, and Major Depressive Disorder. Alcohol consumption disrupts signaling pathways including both innate and adaptive immune responses that are necessary for CNS homeostasis. Coordinate expression of these genes is not ascertained from an admixture of CNS cell-types, underscoring the importance of examining isolated cellular populations to reveal systematic gene expression changes arising from mature microglia. Unbiased RNA-Seq profiling was used to identify gene expression changes in isolated prefrontal cortical microglia in response to recurring bouts of voluntary alcohol drinking behavior. The voluntary ethanol paradigm utilizes long-term consumption ethanol that results in escalated alcohol intake and altered cortical plasticity that is seen in humans. Gene coexpression analysis identified a coordinately regulated group of genes, unique to microglia, that collectively are associated with alcohol consumption. Genes within this group are involved in toll-like receptor signaling and transforming growth factor beta signaling. Network connectivity of this group identified Siglech as a putative hub gene and highlighted the potential importance of proteases in the microglial response to chronic ethanol. In conclusion, we identified a distinctive microglial gene expression signature for neuroimmune responses related to alcohol consumption that provides valuable insight into microglia-specific changes underlying the development of substance abuse, and possibly other CNS disorders.
Authors:
Gizelle M McCarthy, Sean P Farris, Yuri A Blednov, R Adron Harris, R Dayne Mayfield
Alcohol transcriptome changes in mice microglia total homogenate p-value
Description:
Microglia are fundamentally important immune cells within the central nervous system (CNS) that respond to environmental challenges to maintain normal physiological processes. Alterations in steady-state cellular function and over-activation of microglia can facilitate the initiation and progression of neuropathological conditions such as Alzheimer’s disease, Multiple Sclerosis, and Major Depressive Disorder. Alcohol consumption disrupts signaling pathways including both innate and adaptive immune responses that are necessary for CNS homeostasis. Coordinate expression of these genes is not ascertained from an admixture of CNS cell-types, underscoring the importance of examining isolated cellular populations to reveal systematic gene expression changes arising from mature microglia. Unbiased RNA-Seq profiling was used to identify gene expression changes in isolated prefrontal cortical microglia in response to recurring bouts of voluntary alcohol drinking behavior. The voluntary ethanol paradigm utilizes long-term consumption ethanol that results in escalated alcohol intake and altered cortical plasticity that is seen in humans. Gene coexpression analysis identified a coordinately regulated group of genes, unique to microglia, that collectively are associated with alcohol consumption. Genes within this group are involved in toll-like receptor signaling and transforming growth factor beta signaling. Network connectivity of this group identified Siglech as a putative hub gene and highlighted the potential importance of proteases in the microglial response to chronic ethanol. In conclusion, we identified a distinctive microglial gene expression signature for neuroimmune responses related to alcohol consumption that provides valuable insight into microglia-specific changes underlying the development of substance abuse, and possibly other CNS disorders.
Authors:
Gizelle M McCarthy, Sean P Farris, Yuri A Blednov, R Adron Harris, R Dayne Mayfield
GeneWeaver