The chromosome 1 region has peak markers with of LOD of 3.45 and 3.46 for Alcoholism gender age and constraint as D1S2878 (165403366) D1S196 (167604128). Arbitrary interval of 25 MBp on each side of the peak makers was uploaded.
Authors:
Hill SY, Shen S, Zezza N, Hoffman EK, Perlin M, Allan W
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,
Postmortem human brain tissue from the caudate nucleus region of a total of 48 individuals with Alcohol Use Disorder (AUD) and 51 control individuals were taken and RNA extracted from frozen tissue. Sequencing was carried out using the NovaSeq 6000 (Illumina) platform, and gene expression analysis was carried out with respect to AUD and control samples. Gene symbols from Entrez ids are used and Logbase2 FC as provided by the authors are annotated.
Authors:
Lea Zillich, Eric Poisel, Josef Frank, Jerome C Foo, Marion M Friske, Fabian Streit, Lea Sirignano, Stefanie Heilmann-Heimbach, André Heimbach, Per Hoffmann, Franziska Degenhardt, Anita C Hansson, Georgy Bakalkin, Markus M Nöthen, Marcella Rietschel, Rainer Spanagel, Stephanie H Witt
Data from GEO GSE194368 and analyzed using GEO2R, only top gene shown. Authors identified transcriptional adaptations of GR signaling in the amygdala of humans with OUD. Thus, GRs, their coregulators and downstream systems may represent viable therapeutic targets to treat the “stress side” of OUD.
Authors:
Stephanie A Carmack, Janaina C M Vendruscolo, M Adrienne McGinn, Jorge Miranda-Barrientos, Vez Repunte-Canonigo, Gabriel D Bosse, Daniele Mercatelli, Federico M Giorgi, Yu Fu, Anthony J Hinrich, Francine M Jodelka, Karen Ling, Robert O Messing, Randall T Peterson, Frank Rigo, Scott Edwards, Pietro P Sanna, Marisela Morales, Michelle L Hastings, George F Koob, Leandro F Vendruscolo
Data from GEO GSE194368 and analyzed using GEO2R, only top gene shown. Authors identified transcriptional adaptations of GR signaling in the amygdala of humans with OUD. Thus, GRs, their coregulators and downstream systems may represent viable therapeutic targets to treat the “stress side” of OUD.
Authors:
Stephanie A Carmack, Janaina C M Vendruscolo, M Adrienne McGinn, Jorge Miranda-Barrientos, Vez Repunte-Canonigo, Gabriel D Bosse, Daniele Mercatelli, Federico M Giorgi, Yu Fu, Anthony J Hinrich, Francine M Jodelka, Karen Ling, Robert O Messing, Randall T Peterson, Frank Rigo, Scott Edwards, Pietro P Sanna, Marisela Morales, Michelle L Hastings, George F Koob, Leandro F Vendruscolo
The dataset used in this study (Bulk RNA-Seq) was previously published and can be found at NCBI GEO (GSE182321), this analysis was conducted by GEO2R to compare control and OUD samples, only top differentially expressed genes are reported. To understand mechanisms and identify potential targets for intervention in the current crisis of opioid use disorder (OUD), postmortem brains represent an under-utilized resource. To refine previously reported gene signatures of neurobiological alterations in OUD from the dorsolateral prefrontal cortex (Brodmann Area 9, BA9), we explored the role of microRNAs (miRNA) as powerful epigenetic regulators of gene function.
The dataset used in this study (Bulk RNA-Seq) was previously published and can be found at NCBI GEO (GSE182321), this analysis was conducted by GEO2R to compare control and OUD samples, only top differentially expressed genes are reported. To understand mechanisms and identify potential targets for intervention in the current crisis of opioid use disorder (OUD), postmortem brains represent an under-utilized resource. To refine previously reported gene signatures of neurobiological alterations in OUD from the dorsolateral prefrontal cortex (Brodmann Area 9, BA9), we explored the role of microRNAs (miRNA) as powerful epigenetic regulators of gene function.
Postmortem tissue samples of the dorsolateral prefrontal cortex (DLPFC) from 153 deceased individuals (Mage = 35.4; 62% male; 77% European ancestry). Study groups included 72 brain samples from individuals who died of acute opioid intoxication, 53 psychiatric controls, and 28 normal controls. Whole transcriptome RNA-sequencing was used to generate exon counts, and differential expression was tested using limma-voom. Analyses were adjusted for relevant sociodemographic characteristics, technical covariates, and cryptic relatedness using quality surrogate variables. Weighted correlation network analysis and gene set enrichment analyses also were conducted.
Authors:
David W Sosnowski, Andrew E Jaffe, Ran Tao, Amy Deep-Soboslay, Chang Shu, Sarven Sabunciyan, Joel E Kleinman, Thomas M Hyde, Brion S Maher
Postmortem tissue samples of the dorsolateral prefrontal cortex (DLPFC) from 153 deceased individuals (Mage = 35.4; 62% male; 77% European ancestry). Study groups included 72 brain samples from individuals who died of acute opioid intoxication, 53 psychiatric controls, and 28 normal controls. Whole transcriptome RNA-sequencing was used to generate exon counts, and differential expression was tested using limma-voom. Analyses were adjusted for relevant sociodemographic characteristics, technical covariates, and cryptic relatedness using quality surrogate variables. Weighted correlation network analysis and gene set enrichment analyses also were conducted.
Authors:
David W Sosnowski, Andrew E Jaffe, Ran Tao, Amy Deep-Soboslay, Chang Shu, Sarven Sabunciyan, Joel E Kleinman, Thomas M Hyde, Brion S Maher
Human induced pluripotent stem cell (iPSC) lines, A and B, derived from two healthy adult male individuals, were used to generate hCOs for RNA-sequencing. Methodone treatment began on Day 9 of organoid culture, the first day of the neural proliferation stage, and concluded at Day 60. Nuclease-free water was used as a vehicular control. Cortical organoids were collected 2 months (60 days) after initiating organoid culture. Each well of hCOs (15–20 organoids) was a separate biological replicate for a given treatment condition (i.e., treated or untreated). RNA was extracted from frozen organoid pellets using the Direct-Zol Miniprep Plus Kit (Zymo, Irvine, CA) according to the manufacturer’s instructions. Samples were multiplexed and sequenced on the Illumina NovaSeq 6000 S4 to produce approximately 100 million, 100 base pair, paired end reads per sample. 3 control and 3 methadone-treated samples were sequenced from cell line A, and 4 control and 4 treated samples from cell line B. Raw fastq file quality assessment and read alignment to the hg19 genome (GRCh37, RefSeq GCF_000001405.13) were performed. Significantly differentially expressed genes (DEGs) were selected based on the confident effect size of their log2(Fold Change) values at FDR<0.05. Genes presented are without cutoffs and were obtained using the GEO2R tool by GW curators (GEO accession: GSE210682).
Authors:
Ila Dwivedi, Andrew B Caldwell, Dan Zhou, Wei Wu, Shankar Subramaniam, Gabriel G Haddad
DEG HepG2.2.15 liver cells fentanyl vs control_pvalue
Description:
Differential mRNA expression of liver cells exposed to fentanyl vs control in human liver cells. The Huh7.5JFH1 and HepG2.2.15 hepatocyte cell lines were seeded at 500,000 cells per well. Fentanyl or carfentanil was added to culture medium after 24 hours. After 24 hours of incubation with drug, hepatitis C virus (HCV) core (ng/mL), or hepatitis B surface antigen (HBsAg) (ng/mL) was quantified in culture supernatants. Differential expression was assessed using moderated t-tests with a cutoff of p < 0.05 and fold change > 1.25. Transcripts meeting significance criteria were submitted to ToppGene and ToppCluster for ontological analyses. RNAseq data are available through GEO using accession number GSE167922. Differential expression of mRNA in fentanyl treated vs control cells was analyzed for each cell line using the GEO2R tool.
Authors:
Ling Kong, Rebekah Karns, Mohamed Tarek M Shata, Jennifer L Brown, Michael S Lyons, Kenneth E Sherman, Jason T Blackard
Activation of the mesolimbic dopamine reward pathway by acute ethanol produces reinforcement and changes in gene expression that appear to be crucial to the molecular basis for adaptive behaviors and addiction. The inbred mouse strains DBA/2J and C57BL/6J exhibit contrasting acute behavioral responses to ethanol. We used oligonucleotide microarrays and bioinformatics methods to characterize patterns of gene expression in three brain regions of the mesolimbic reward pathway of these strains. Expression profiling included examination of both differences in gene expression 4 h after saline injection or acute ethanol (2 g/kg). Using a rigorous stepwise method for microarray analysis, we identified 788 genes differentially expressed in control DBA/2J versus C57BL/6J mice and 307 ethanol-regulated genes in the nucleus accumbens, prefrontal cortex, and ventral tegmental area. There were strikingly divergent patterns of ethanol-responsive gene expression in the two strains. Ethanol-responsive genes also showed clustering at discrete chromosomal regions, suggesting local chromatin effects in regulation. Ethanol-regulated genes were generally related to neuroplasticity, but regulation of discrete functional groups and pathways was brain region specific: glucocorticoid signaling, neurogenesis, and myelination in the prefrontal cortex; neuropeptide signaling and developmental genes, including factor Bdnf, in the nucleus accumbens; and retinoic acid signaling in the ventral tegmental area. Bioinformatics analysis identified several potential candidate genes for quantitative trait loci linked to ethanol behaviors, further supporting a role for expression profiling in identifying genes for complex traits. Brain region-specific changes in signaling and neuronal plasticity may be critical components in development of lasting ethanol behavioral phenotypes such as dependence, sensitization, and craving.
A list of the 307 genes found to be upregulated or downregulated by ethanol in PFC, VTA or NA of B6 or D2 mice. ID number represents cluster membership from Figure 4.
Authors:
Kerns RT, Ravindranathan A, Hassan S, Cage MP, York T, Sikela JM, Williams RW, Miles MF
Hippocampus Gene Expression Correlates for AMCNT30 measured in BXD RI Females & Males obtained using GeneNetwork Hippocampus Consortium M430v2 (Jun06) RMA. The AMCNT30 measures Morphine photocell counts minutes 15-30 under the domain Morphine. The correlates were thresholded at a p-value of less than 0.001.
Authors:
Philip VM, Duvvuru S, Gomero B, Ansah TA, Blaha CD, Cook MN, Hamre KM, Lariviere WR, Matthews DB, Mittleman G, Goldowitz D, Chesler EJ
Hippocampus Gene Expression Correlates for AMCNT45 measured in BXD RI Females & Males obtained using GeneNetwork Hippocampus Consortium M430v2 (Jun06) RMA. The AMCNT45 measures Morphine photocell counts minutes 30-45 under the domain Morphine. The correlates were thresholded at a p-value of less than 0.001.
Authors:
Philip VM, Duvvuru S, Gomero B, Ansah TA, Blaha CD, Cook MN, Hamre KM, Lariviere WR, Matthews DB, Mittleman G, Goldowitz D, Chesler EJ
Hippocampus Gene Expression Correlates for AMCNT45 measured in BXD RI Females obtained using GeneNetwork Hippocampus Consortium M430v2 (Jun06) RMA. The AMCNT45 measures Morphine photocell counts minutes 30-45 under the domain Morphine. The correlates were thresholded at a p-value of less than 0.001.
Authors:
Philip VM, Duvvuru S, Gomero B, Ansah TA, Blaha CD, Cook MN, Hamre KM, Lariviere WR, Matthews DB, Mittleman G, Goldowitz D, Chesler EJ
Hippocampus Gene Expression Correlates for AMCNT60 measured in BXD RI Females & Males obtained using GeneNetwork Hippocampus Consortium M430v2 (Jun06) RMA. The AMCNT60 measures Morphine photocell counts minutes 45-60 under the domain Morphine. The correlates were thresholded at a p-value of less than 0.001.
Authors:
Philip VM, Duvvuru S, Gomero B, Ansah TA, Blaha CD, Cook MN, Hamre KM, Lariviere WR, Matthews DB, Mittleman G, Goldowitz D, Chesler EJ
Hippocampus Gene Expression Correlates for AMCNT60 measured in BXD RI Females obtained using GeneNetwork Hippocampus Consortium M430v2 (Jun06) RMA. The AMCNT60 measures Morphine photocell counts minutes 45-60 under the domain Morphine. The correlates were thresholded at a p-value of less than 0.001.
Authors:
Philip VM, Duvvuru S, Gomero B, Ansah TA, Blaha CD, Cook MN, Hamre KM, Lariviere WR, Matthews DB, Mittleman G, Goldowitz D, Chesler EJ
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