DEG PFC in adolescent D2 mice 24hr post treatment_pvalue
Description:
DBA/2J males and females (n = 24/sex) were orally dosed with 4 g/kg ethanol (25% w/v in water by gavage) or water intermittently (2 days on/2 days off) on PND 29, 30, 33, 34, 37, 38, 41, and 42. Tissue was collected for gene expression studies at PND 43 (n = 22) and PND 66 (n = 19). Behaviorally naïve tissue from the PFC was collected 24 h (at PND 43) and 3 weeks (at PND 66) after the last ethanol binge (dose). Total RNA was analyzed for gene-level expression differences using Mouse Transcriptome Arrays v1.0. Two complementary analyses were conducted to interrogate differential gene expression at each age. Gene Ontology over-representation analysis identified six categories involved in oligodendrocyte development and myelination as the primary Biological Processes altered by adolescent binge ethanol. For transcript IDs significant for the interaction between sex and adolescent treatment, Gene Ontology analysis only identified two over-represented cellular components: ER chaperone component and smooth ER. When comparing gene expression between adolescent males vs. females, most of the differentially expressed genes either resided on the Y chromosome (Ddx3y, Eif2s3y, Kdm5d, Uty), or are known to escape X-inactivation (Ddx3x, Eif2s3x, Kdm5c, Kdm6a) in mice (Yang et al., 2010). Over-represented Gene Ontology categories (Supplementary Table 2) reflect their processes, such as histone demethylase activity, angiotensin catabolic processes in blood, cell adhesion and regulation of gap junction assembly. Genes in this geneset are all significantly altered as a main effect of treatment, sex, or the interaction between treatment and sex (p < 0.01).
Authors:
Jennifer T Wolstenholme, Tariq Mahmood, Guy M Harris, Shahroze Abbas, Michael F Miles
DEG PFC in adolescent D2 mice 24hr post treatment_logFC
Description:
DBA/2J males and females (n = 24/sex) were orally dosed with 4 g/kg ethanol (25% w/v in water by gavage) or water intermittently (2 days on/2 days off) on PND 29, 30, 33, 34, 37, 38, 41, and 42. Tissue was collected for gene expression studies at PND 43 (n = 22) and PND 66 (n = 19). Behaviorally naïve tissue from the PFC was collected 24 h (at PND 43) and 3 weeks (at PND 66) after the last ethanol binge (dose). Total RNA was analyzed for gene-level expression differences using Mouse Transcriptome Arrays v1.0. Two complementary analyses were conducted to interrogate differential gene expression at each age. Gene Ontology over-representation analysis identified six categories involved in oligodendrocyte development and myelination as the primary Biological Processes altered by adolescent binge ethanol. For transcript IDs significant for the interaction between sex and adolescent treatment, Gene Ontology analysis only identified two over-represented cellular components: ER chaperone component and smooth ER. When comparing gene expression between adolescent males vs. females, most of the differentially expressed genes either resided on the Y chromosome (Ddx3y, Eif2s3y, Kdm5d, Uty), or are known to escape X-inactivation (Ddx3x, Eif2s3x, Kdm5c, Kdm6a) in mice (Yang et al., 2010). Over-represented Gene Ontology categories (Supplementary Table 2) reflect their processes, such as histone demethylase activity, angiotensin catabolic processes in blood, cell adhesion and regulation of gap junction assembly. Genes in this geneset are all significantly altered as a main effect of treatment, sex, or the interaction between treatment and sex (p < 0.01).
Authors:
Jennifer T Wolstenholme, Tariq Mahmood, Guy M Harris, Shahroze Abbas, Michael F Miles
Adult D2 transcripts sig. altered using S-score analysis at FDR < 0.05 (EtOH vs control)
Description:
DBA/2J males and females (n = 24/sex) were orally dosed with 4 g/kg ethanol (25% w/v in water by gavage) or water intermittently (2 days on/2 days off) on PND 29, 30, 33, 34, 37, 38, 41, and 42. Tissue was collected for gene expression studies at PND 43 (n = 22) and PND 66 (n = 19). Behaviorally naïve tissue from the PFC was collected 24 h (at PND 43) and 3 weeks (at PND 66) after the last ethanol binge (dose). Total RNA was analyzed for gene-level expression differences using Mouse Transcriptome Arrays v1.0. We performed an analysis using the S-score probe-level algorithm which we have previously shown to have increased sensitivity for differential expression analysis (Zhang et al., 2002; Kennedy et al., 2006). For this analysis, data was collapsed over sex to increase the power to detect differences between ethanol treatment versus controls and to focus on lasting differences following binge ethanol. To assess genes that were persistently regulated long-term following adolescent binge ethanol, we intersected the S-score analysis gene list significantly altered by ethanol in adolescents with the list obtained from adults.
Authors:
Jennifer T Wolstenholme, Tariq Mahmood, Guy M Harris, Shahroze Abbas, Michael F Miles
QTL for ethanol induced locomotion on Chr6 at NA (64.65 Mbp , Build 37)
Description:
ethanol induced locomotion spans 39.65 - 89.65 Mbp (NCBI Build 37) on Chr6. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
Authors:
Hitzemann R, Demarest K, Koyner J, Cipp L, Patel N, Rasmussen E, McCaughran J Jr
QTL for high-dose ethanol actions on Chr6 at D6Mit67 (91.93 Mbp , Build 37)
Description:
high-dose ethanol actions spans 66.93 - 116.93 Mbp (NCBI Build 37) on Chr6. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
Authors:
Erwin VG, Markel PD, Johnson TE, Gehle VM, Jones BC
Small intestine transcriptome changes in morphine treated mice. Eight-week-old, pathogen free, C57BL/6 male mice were used for this study (morphine n = 5, control n = 5). The animals were anesthetized using isoflurane (Pivetal®) and a 25mg slow-release morphine pellet or placebo pellet was implanted subcutaneously. Treatment lasted 16 hours. mRNA was purified from total RNA from using poly T-magnetic beads and strand specific library was constructed by using NEBNext Ultra RNA library prep kit. After quality control, the libraries were sequenced paired end by using Illumina sequencers (Illumina HiSeq 4000) for a read length of 150 base pairs. Clean reads were mapped to the mouse transcriptome using “STAR” software. The subsequent differential gene expression analysis was performed using DESeq2 R package (log2 (Fold change) > 1, P adj<0.05).
Small intestine transcriptome changes in morphine treated mice without microbiome (Abx+morphine (AM)) (n = 7) vs morphine treated mice (n = 5). Eight-week-old, pathogen free, C57BL/6 male mice were used for this study. For depletion of the gut microbiota, a pan-antibiotics+antifungal cocktail [vancomycin 32 (mg/kg), bacitracin (80mg/kg), metronidazole (80mg/kg), neomycin (320mg/kg), and pimaricin (0.192mg/kg)] was prepared every day in drinking water. The cocktail was administered by oral gavage for 7 days as described previously. The animals were anesthetized using isoflurane (Pivetal®) and a 25mg slow-release morphine pellet or placebo pellet was implanted subcutaneously. Treatment lasted 16 hours. mRNA was purified from total RNA from using poly T-magnetic beads and strand specific library was constructed by using NEBNext Ultra RNA library prep kit. After quality control, the libraries were sequenced paired end by using Illumina sequencers (Illumina NovaSeq 6000) for a read length of 150 base pairs. Clean reads were mapped to the mouse transcriptome using “STAR” software. The subsequent differential gene expression analysis was performed using DESeq2 R package (log2 (Fold change) > 1, P adj<0.05).
cocaine related behavior 7 (Cocrb7) spans 28.968906 - 78.968906 Mbp (NCBI Build 37) on Chr 6. Obtained from MGI (http://www.informatics.jax.org) by searching for QTLs containing the keyword .
QTL for cocaine related behavior on Chr6 at D6Mit183 (53.97 Mbp , Build 37)
Description:
cocaine related behavior spans 28.97 - 78.97 Mbp (NCBI Build 37) on Chr6. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
QTL for METH responses for body temperature on Chr6 at D6Ncvs34 (54.50 Mbp , Build 37)
Description:
METH responses for body temperature spans 29.50 - 79.50 Mbp (NCBI Build 37) on Chr6. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
QTL for METH responses for home cage activity on Chr6 at D6Nds3 (67.84 Mbp , Build 37)
Description:
METH responses for home cage activity spans 42.84 - 92.84 Mbp (NCBI Build 37) on Chr6. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
QTL for METH responses for body temperature on Chr6 at D6MIt16 (67.84 Mbp , Build 37)
Description:
METH responses for body temperature spans 42.84 - 92.84 Mbp (NCBI Build 37) on Chr6. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
QTL for METH responses for body temperature on Chr6 at D6Nds2 (89.57 Mbp , Build 37)
Description:
METH responses for body temperature spans 64.57 - 114.57 Mbp (NCBI Build 37) on Chr6. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
QTL for differences in cocaine responsiveness on Chr6 at D6Nds2 (93.28 Mbp , Build 37)
Description:
differences in cocaine responsiveness spans 68.28 - 118.28 Mbp (NCBI Build 37) on Chr6. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
Genes significantly upregulated (p < 0.05) in peripheral blood mononuclear cells (PBMC) specimens from SARS-CoV2 patients compared to healthy donors. Genes were taken from the PBMC DEGs tab of Supplementary File 1 with value = "Up" in "Tag" column. Values are log2 fold change. Genes were entered as base Ensemble IDs. The following gene identifiers were not in GeneWeaver at the time of loading: ENSG00000255306, ENSG00000235328, ENSG00000262202, ENSG00000279400, ENSG00000279227, ENSG00000186076, ENSG00000271122, ENSG00000287431, ENSG00000279605, ENSG00000235027, ENSG00000216285, ENSG00000247134, ENSG00000240859, ENSG00000251429, ENSG00000246731, ENSG00000250771, ENSG00000108958, ENSG00000264456, ENSG00000286194, ENSG00000276216, ENSG00000287979, ENSG00000259319, ENSG00000285646, ENSG00000272720, ENSG00000185839, ENSG00000274922, ENSG00000136315, ENSG00000230699, ENSG00000272825, ENSG00000270022.
Authors:
Yong Xiong, Yuan Liu, Liu Cao, Dehe Wang, Ming Guo, Ao Jiang, Dong Guo, Wenjia Hu, Jiayi Yang, Zhidong Tang, Honglong Wu, Yongquan Lin, Meiyuan Zhang, Qi Zhang, Mang Shi, Yingle Liu, Yu Zhou, Ke Lan, Yu Chen
Members of the class of compounds composed of AMINO ACIDS joined together by peptide bonds between adjacent amino acids into linear, branched or cyclical structures. OLIGOPEPTIDES are composed of approximately 2-12 amino acids. Polypeptides are composed of approximately 13 or more amino acids. PROTEINS are linear polypeptides that are normally synthesized on RIBOSOMES.
Generated by gene2mesh v. 1.1.1
Gene Ontology (GO) gene set. This set contains genes that have been annotated to the GO term "cell part", which is defined as "Any constituent part of a cell, the basic structural and functional unit of all organisms." 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. 0.2.8.
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 "cellular anatomical entity", which is defined as "A part of a cellular organism that is either an immaterial entity or a material entity with granularity above the level of a protein complex but below that of an anatomical system. Or, a substance produced by a cellular organism with granularity above the level of a protein complex." 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 "cellular_component", which is defined as "A location, relative to cellular compartments and structures, occupied by a macromolecular machine when it carries out a molecular function. There are two ways in which the gene ontology describes locations of gene products: (1) relative to cellular structures (e.g., cytoplasmic side of plasma membrane) or compartments (e.g., mitochondrion), and (2) the stable macromolecular complexes of which they are parts (e.g., the ribosome)." 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 "cellular process", which is defined as "Any process that is carried out at the cellular level, but not necessarily restricted to a single cell. For example, cell communication occurs among more than one cell, but occurs at the cellular level." 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
This set describes genes whose transcription is up-regulated in the whole blood of COVID-19 patients versus healthy donors. Genes listed in table S2 were mapped to ENSEMBL identifiers. Values are the reported log2 fold-change.
Authors:
Anna C Aschenbrenner, Maria Mouktaroudi, Benjamin Krämer, Marie Oestreich, Nikolaos Antonakos, Melanie Nuesch-Germano, Konstantina Gkizeli, Lorenzo Bonaguro, Nico Reusch, Kevin Baßler, Maria Saridaki, Rainer Knoll, Tal Pecht, Theodore S Kapellos, Sarandia Doulou, Charlotte Kröger, Miriam Herbert, Lisa Holsten, Arik Horne, Ioanna D Gemünd, Nikoletta Rovina, Shobhit Agrawal, Kilian Dahm, Martina van Uelft, Anna Drews, Lena Lenkeit, Niklas Bruse, Jelle Gerretsen, Jannik Gierlich, Matthias Becker, Kristian Händler, Michael Kraut, Heidi Theis, Simachew Mengiste, Elena De Domenico, Jonas Schulte-Schrepping, Lea Seep, Jan Raabe, Christoph Hoffmeister, Michael ToVinh, Verena Keitel, Gereon Rieke, Valentina Talevi, Dirk Skowasch, N Ahmad Aziz, Peter Pickkers, Frank L van de Veerdonk, Mihai G Netea, Joachim L Schultze, Matthijs Kox, Monique M B Breteler, Jacob Nattermann, Antonia Koutsoukou, Evangelos J Giamarellos-Bourboulis, Thomas Ulas,
This set describes genes whose transcription is upregulated in the whole blood of severe COVID-19 patients versus healthy donors. Genes listed in table S2 were entered using ENSEMBL Gene identifiers. Values are the reported log2 fold-change.
Authors:
Anna C Aschenbrenner, Maria Mouktaroudi, Benjamin Krämer, Marie Oestreich, Nikolaos Antonakos, Melanie Nuesch-Germano, Konstantina Gkizeli, Lorenzo Bonaguro, Nico Reusch, Kevin Baßler, Maria Saridaki, Rainer Knoll, Tal Pecht, Theodore S Kapellos, Sarandia Doulou, Charlotte Kröger, Miriam Herbert, Lisa Holsten, Arik Horne, Ioanna D Gemünd, Nikoletta Rovina, Shobhit Agrawal, Kilian Dahm, Martina van Uelft, Anna Drews, Lena Lenkeit, Niklas Bruse, Jelle Gerretsen, Jannik Gierlich, Matthias Becker, Kristian Händler, Michael Kraut, Heidi Theis, Simachew Mengiste, Elena De Domenico, Jonas Schulte-Schrepping, Lea Seep, Jan Raabe, Christoph Hoffmeister, Michael ToVinh, Verena Keitel, Gereon Rieke, Valentina Talevi, Dirk Skowasch, N Ahmad Aziz, Peter Pickkers, Frank L van de Veerdonk, Mihai G Netea, Joachim L Schultze, Matthijs Kox, Monique M B Breteler, Jacob Nattermann, Antonia Koutsoukou, Evangelos J Giamarellos-Bourboulis, Thomas Ulas,
Gene Ontology (GO) gene set. This set contains genes that have been annotated to the GO term "protein activation cascade", which is defined as "A response to a stimulus that consists of a sequential series of modifications to a set of proteins where the product of one reaction acts catalytically in the following reaction. The magnitude of the response is typically amplified at each successive step in the cascade. Modifications typically include proteolysis or covalent modification, and may also include binding events." 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. 0.2.8.
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
GeneWeaver