Ethanol Induced Ataxia Chr#17 rs3672987(33247165) with right flanking marker rs4136382(3388912) and left marker rs3715723(58810428). This was mapped in 300 + (b6x129)F2 mice.
Here, female High Drinking in the Dark (HDID) mice were stereotaxically injected with 0.5uL rAAV2/5-CMV-Cre-GFP and 0.5uL rAAV2-hSyn-DIO-hM3Dq-mCherry bilaterally into the NAc. A Drinking in the Dark (DID) experiment lasting 6 weeks was carried out with 2 fluid groups (water or ethanol) and 2 treatment groups (VEH/VEH/VEH or VEH/CNO/VEH). Mice were serially treated with vehicle prior to DID during week 1 to establish baseline drinking, CNO (1mg/kg) during weeks 2-5 to measure the effects of chronic treatment, and then mice were treated with vehicle again during week 6 to determine if there were any lasting effects of chronic CNO treatment. This gene set comprises 2,377 genes that were differentially expressed in the nucleus accumbens of ethanol drinking HDID mice treated with CNO as compared to the water drinking and vehicle treated control group.
Authors:
Darya Y. Pozhidayeva, Sean P. Farris, Calla M. Goeke, Evan J. Firsick, Kayla G. Townsley, Marina Guizzetti, and Angela R. Ozburn
differentially expressed genes (p < .05) for short access cocaine self-admin (2 weeks) or saline self-admin from C57 inbred mice. Used data from Walker et al. 2018 Biological Psychiatry.
Genes that are induced by THC in total lymph node (LN) cells in C57BL/6J mice. Gene expression was evaluated via RNA-seq. Values presented are "1" for effect presence. Data taken from Supplemental Data 1.
Authors:
Xiaoming Yang, Marpe Bam, Prakash S Nagarkatti, Mitzi Nagarkatti
640 Diversity Outbred (DO) mice were exposed to 4 weeks of intermittent ethanol access (IEA) via 3-bottle choice (H20, 15% EtOH, 30% EtOH). 200 prefrontal cortex (PFC) samples were sent for RNA-seq. After QC and GBRS alignment, Pearson correlations were calculated for all genes with variant-stabilized transcript counts >1 and whole study mean ethanol consumption. This gene set provides the list of genes for which FDR-corrected p-values < 0.05 and their Pearson correlation scores.
Alcohol transcriptome changes in mice microglia log2FC
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 log2FC
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
The current study used two inbred mouse strains, C57BL/6 J and A/J, to investigate the genetics of behavioral responses to fentanyl. Mice were tested for conditioned place preference and fentanyl-induced locomotor activity. C57BL/6J mice formed a conditioned place preference to fentanyl injections and fentanyl increased their activity. Neither effect was noted in A/J mice. We conducted RNA-sequencing on the nucleus accumbens of mice used for fentanyl-induced locomotor activity. Surprisingly, we noted few differentially expressed genes using treatment as the main factor. However many genes differed between strains.
Authors:
Samuel J Harp, Mariangela Martini, Will Rosenow, Larry D Mesner, Hugh Johnson, Charles R Farber, Emilie F Rissman
The current study used two inbred mouse strains, C57BL/6 J and A/J, to investigate the genetics of behavioral responses to fentanyl. Mice were tested for conditioned place preference and fentanyl-induced locomotor activity. C57BL/6J mice formed a conditioned place preference to fentanyl injections and fentanyl increased their activity. Neither effect was noted in A/J mice. We conducted RNA-sequencing on the nucleus accumbens of mice used for fentanyl-induced locomotor activity. Surprisingly, we noted few differentially expressed genes using treatment as the main factor. However many genes differed between strains.
Authors:
Samuel J Harp, Mariangela Martini, Will Rosenow, Larry D Mesner, Hugh Johnson, Charles R Farber, Emilie F Rissman
The current study used two inbred mouse strains, C57BL/6 J and A/J, to investigate the genetics of behavioral responses to fentanyl. Mice were tested for conditioned place preference and fentanyl-induced locomotor activity. C57BL/6J mice formed a conditioned place preference to fentanyl injections and fentanyl increased their activity. Neither effect was noted in A/J mice. We conducted RNA-sequencing on the nucleus accumbens of mice used for fentanyl-induced locomotor activity. Surprisingly, we noted few differentially expressed genes using treatment as the main factor. However many genes differed between strains.
Authors:
Samuel J Harp, Mariangela Martini, Will Rosenow, Larry D Mesner, Hugh Johnson, Charles R Farber, Emilie F Rissman
The current study used two inbred mouse strains, C57BL/6 J and A/J, to investigate the genetics of behavioral responses to fentanyl. Mice were tested for conditioned place preference and fentanyl-induced locomotor activity. C57BL/6J mice formed a conditioned place preference to fentanyl injections and fentanyl increased their activity. Neither effect was noted in A/J mice. We conducted RNA-sequencing on the nucleus accumbens of mice used for fentanyl-induced locomotor activity. Surprisingly, we noted few differentially expressed genes using treatment as the main factor. However many genes differed between strains.
Authors:
Samuel J Harp, Mariangela Martini, Will Rosenow, Larry D Mesner, Hugh Johnson, Charles R Farber, Emilie F Rissman
Differential gene expression in nucleus accumbens somatostatin interneurons_cocaine_mice_logFC
Description:
To characterize transcriptional alterations that cocaine induces in these cells, we perform cell type-specific RNA-sequencing on FACS-isolated nuclei of somatostatin interneurons and identified 1100 DETs enriched for processes related to neural plasticity. To profile the entire (non poly-A selected) transcriptome of NAc somatostatin interneurons, we generated a transgenic reporter line (SST-TLG498 mice) to label the nuclei of these cells with a modified form of EGFP that is retained in the nuclear membrane (EGFP-F)22, enabling their isolation from NAc dissections using FACS. We succeeded in FACS-isolating nuclei suitable for RNA-sequencing from individual SST-TLG498 mice. We proceeded with differential expression analysis of the RNA-sequencing data to identify differentially expressed transcripts (DETs) in NAc somatostatin interneurons in response to repeated cocaine exposure: 778 transcripts were upregulated by cocaine and 322 were downregulated.
Authors:
Efrain A Ribeiro, Marine Salery, Joseph R Scarpa, Erin S Calipari, Peter J Hamilton, Stacy M Ku, Hope Kronman, Immanuel Purushothaman, Barbara Juarez, Mitra Heshmati, Marie Doyle, Casey Lardner, Dominicka Burek, Ana Strat, Stephen Pirpinias, Ezekiell Mouzon, Ming-Hu Han, Rachael L Neve, Rosemary C Bagot, Andrew Kasarskis, Ja Wook Koo, Eric J Nestler
DEG effect of brain region 72hrs post-CIE (C57 and D2)_pvalue
Description:
Male C57BL/6J and DBA/2J mice (10 weeks old upon arrival) were purchased from the Jackson Laboratory and assigned to either the air control or CIE group (N = 1 per strain/ treatment). Treatment was coded as 0 for AIR and 1 for CIE, 0 for B6 and 1 for D2. Regions were collapsed into three groups based on the PCA clustering and coded as 0 for hippocampus (CA1 and CA3 regions), 1 for cortex (Prl, ILC, and VCX), and 2 for the remaining subcortical and limbic and mesolimbic tissue (VTA, NAc, NAs, DMS, CeA, and BST). The final data set included 11 brain regions and 87 samples. Mice were allowed to self-administer alcohol (15% v/v vs. water) for 2 h a day (5 days a week) 6 weeks prior to treatment in order to establish baseline consumption. Access to 15% alcohol versus water started 30 min prior to the start of the dark cycle. Following establishment of baseline drinking, two male mice representative of each strain were separated into two groups to be exposed to either weekly cycles of CIE exposure (CIE group) or air control (AIR group) exposure. Mice assigned to the CIE treatment group were exposed to alcohol vapor for 16 h a day followed by 8 h of withdrawal for 4 days. Following the fourth vapor exposure, mice were given a 72-h abstinence period before resuming ethanol intake in the home cage for 5 days. Mice in the AIR control treatment group were similarly treated but exposed only to air in the inhalation chambers. This pattern of CIE or air control exposure followed by 5 days of ethanol self-administration was repeated for four cycles. A fifth cycle of CIE (or air) exposure followed the fourth ethanol intake evaluation period, and brain tissue was collected 72 h after the last cycle ended. To capture expression patterns due to region, strain, and treatment or their interactions, we applied a linear model to the expression data: y ∼ Treatment + Strain + Tissue + Treatment*Strain + Treatment*Region (Supplemental Table 4).
Authors:
Megan K Mulligan, Khyobeni Mozhui, Ashutosh K Pandey, Maren L Smith, Suzhen Gong, Jesse Ingels, Michael F Miles, Marcelo F Lopez, Lu Lu, Robert W Williams
Male C57BL/6J and DBA/2J mice (10 weeks old upon arrival) were purchased from the Jackson Laboratory and assigned to either the air control or CIE group (N = 1 per strain/ treatment). Treatment was coded as 0 for AIR and 1 for CIE, 0 for B6 and 1 for D2. Regions were collapsed into three groups based on the PCA clustering and coded as 0 for hippocampus (CA1 and CA3 regions), 1 for cortex (Prl, ILC, and VCX), and 2 for the remaining subcortical and limbic and mesolimbic tissue (VTA, NAc, NAs, DMS, CeA, and BST). The final data set included 11 brain regions and 87 samples. Mice were allowed to self-administer alcohol (15% v/v vs. water) for 2 h a day (5 days a week) 6 weeks prior to treatment in order to establish baseline consumption. Access to 15% alcohol versus water started 30 min prior to the start of the dark cycle. Following establishment of baseline drinking, two male mice representative of each strain were separated into two groups to be exposed to either weekly cycles of CIE exposure (CIE group) or air control (AIR group) exposure. Mice assigned to the CIE treatment group were exposed to alcohol vapor for 16 h a day followed by 8 h of withdrawal for 4 days. Following the fourth vapor exposure, mice were given a 72-h abstinence period before resuming ethanol intake in the home cage for 5 days. Mice in the AIR control treatment group were similarly treated but exposed only to air in the inhalation chambers. This pattern of CIE or air control exposure followed by 5 days of ethanol self-administration was repeated for four cycles. A fifth cycle of CIE (or air) exposure followed the fourth ethanol intake evaluation period, and brain tissue was collected 72 h after the last cycle ended. To capture expression patterns due to region, strain, and treatment or their interactions, we applied a linear model to the expression data: y ∼ Treatment + Strain + Tissue + Treatment*Strain + Treatment*Region (Supplemental Table 4). At a nominal p value (p < 0.01), most expression differences are due to the effect of region (5464 unique genes) or strain (1111 unique genes). Differences due to effect of region or strain are reflected in this gene set (p < 0.01).
Authors:
Megan K Mulligan, Khyobeni Mozhui, Ashutosh K Pandey, Maren L Smith, Suzhen Gong, Jesse Ingels, Michael F Miles, Marcelo F Lopez, Lu Lu, Robert W Williams
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).
DEG female mouse forebrain 3-tri morphine vs saline_pvalue
Description:
To examine forebrain transcriptomic changes that might elucidate mechanisms of withdrawal, delayed development, and any long-term behavior changes, we generated transcriptomic signatures following our “3-trimester” exposure model (3-Tri). In addition, we also examined transcriptomes from animals that received opioids only during the gestational period (PND1) or only during the last trimester from PND 1–14 (PND 14). We sought to determine whether transcriptomic signatures vary based on the window of exposure, perhaps contributing to the discrepancies in the literature regarding acute and long-term outcomes. Brains were dissected from PND 1 pups 6 h after discovery. Brains were dissected from post-natal exposure only (PND 14) or 3-trimester exposure (3-tri) 6 h after the last morphine or saline injection. The number of animals per group was similar (N = 5–7 animals, male and female C57Bl/6NTac mice), and the quality controls, library construction and sequence parameters were also identical across all groups. Libraries were sequenced on a NovaSeq 6000 at a depth of 30 million total reads/sample using paired-end sequencing of 150 base pairs (PE150), to a depth of 30 million total reads/sample. Reads were then mapped to the mouse reference genome (Mus Musculus, GRCm38/mm10) using HISAT2 (version 2.2.1), and duplicated fragments were removed using Picard MarkDuplicates. Differential expression analysis between two conditions (e.g., Morphine and Saline) was performed in R (version 4.1.1) with DESeq2 (v1.32.0) package. Genes were assigned by the authors as differentially expressed if the (adjusted) (nominal) p-value < 0.05. All genes/scores are presented here.
Authors:
Amelia D Dunn, Shivon A Robinson, Chiso Nwokafor, Molly Estill, Julia Ferrante, Li Shen, Crystal O Lemchi, Jordi Creus-Muncunill, Angie Ramirez, Juliet Mengaziol, Julia K Brynildsen, Mark Leggas, Jamie Horn, Michelle E Ehrlich, Julie A Blendy
DEG female mouse forebrain PND1 morphine vs saline_pvalue
Description:
To examine forebrain transcriptomic changes that might elucidate mechanisms of withdrawal, delayed development, and any long-term behavior changes, we generated transcriptomic signatures following our “3-trimester” exposure model (3-Tri). In addition, we also examined transcriptomes from animals that received opioids only during the gestational period (PND1) or only during the last trimester from PND 1–14 (PND 14). We sought to determine whether transcriptomic signatures vary based on the window of exposure, perhaps contributing to the discrepancies in the literature regarding acute and long-term outcomes. Brains were dissected from PND 1 pups 6 h after discovery. Brains were dissected from post-natal exposure only (PND 14) or 3-trimester exposure (3-tri) 6 h after the last morphine or saline injection. The number of animals per group was similar (N = 5–7 animals, male and female C57Bl/6NTac mice), and the quality controls, library construction and sequence parameters were also identical across all groups. Libraries were sequenced on a NovaSeq 6000 at a depth of 30 million total reads/sample using paired-end sequencing of 150 base pairs (PE150), to a depth of 30 million total reads/sample. Reads were then mapped to the mouse reference genome (Mus Musculus, GRCm38/mm10) using HISAT2 (version 2.2.1), and duplicated fragments were removed using Picard MarkDuplicates. Differential expression analysis between two conditions (e.g., Morphine and Saline) was performed in R (version 4.1.1) with DESeq2 (v1.32.0) package. Genes were assigned by the authors as differentially expressed if the (adjusted) (nominal) p-value < 0.05. All genes/scores are presented here.
Authors:
Amelia D Dunn, Shivon A Robinson, Chiso Nwokafor, Molly Estill, Julia Ferrante, Li Shen, Crystal O Lemchi, Jordi Creus-Muncunill, Angie Ramirez, Juliet Mengaziol, Julia K Brynildsen, Mark Leggas, Jamie Horn, Michelle E Ehrlich, Julie A Blendy
DEG male mouse forebrain 3-tri morphine vs saline_pvalue
Description:
To examine forebrain transcriptomic changes that might elucidate mechanisms of withdrawal, delayed development, and any long-term behavior changes, we generated transcriptomic signatures following our “3-trimester” exposure model (3-Tri). In addition, we also examined transcriptomes from animals that received opioids only during the gestational period (PND1) or only during the last trimester from PND 1–14 (PND 14). We sought to determine whether transcriptomic signatures vary based on the window of exposure, perhaps contributing to the discrepancies in the literature regarding acute and long-term outcomes. Brains were dissected from PND 1 pups 6 h after discovery. Brains were dissected from post-natal exposure only (PND 14) or 3-trimester exposure (3-tri) 6 h after the last morphine or saline injection. The number of animals per group was similar (N = 5–7 animals, male and female C57Bl/6NTac mice), and the quality controls, library construction and sequence parameters were also identical across all groups. Libraries were sequenced on a NovaSeq 6000 at a depth of 30 million total reads/sample using paired-end sequencing of 150 base pairs (PE150), to a depth of 30 million total reads/sample. Reads were then mapped to the mouse reference genome (Mus Musculus, GRCm38/mm10) using HISAT2 (version 2.2.1), and duplicated fragments were removed using Picard MarkDuplicates. Differential expression analysis between two conditions (e.g., Morphine and Saline) was performed in R (version 4.1.1) with DESeq2 (v1.32.0) package. Genes were assigned by the authors as differentially expressed if the (adjusted) (nominal) p-value < 0.05. All genes/scores are presented here.
Authors:
Amelia D Dunn, Shivon A Robinson, Chiso Nwokafor, Molly Estill, Julia Ferrante, Li Shen, Crystal O Lemchi, Jordi Creus-Muncunill, Angie Ramirez, Juliet Mengaziol, Julia K Brynildsen, Mark Leggas, Jamie Horn, Michelle E Ehrlich, Julie A Blendy
DEG female mouse forebrain PND14 morphine vs saline_pvalue
Description:
To examine forebrain transcriptomic changes that might elucidate mechanisms of withdrawal, delayed development, and any long-term behavior changes, we generated transcriptomic signatures following our “3-trimester” exposure model (3-Tri). In addition, we also examined transcriptomes from animals that received opioids only during the gestational period (PND1) or only during the last trimester from PND 1–14 (PND 14). We sought to determine whether transcriptomic signatures vary based on the window of exposure, perhaps contributing to the discrepancies in the literature regarding acute and long-term outcomes. Brains were dissected from PND 1 pups 6 h after discovery. Brains were dissected from post-natal exposure only (PND 14) or 3-trimester exposure (3-tri) 6 h after the last morphine or saline injection. The number of animals per group was similar (N = 5–7 animals, male and female C57Bl/6NTac mice), and the quality controls, library construction and sequence parameters were also identical across all groups. Libraries were sequenced on a NovaSeq 6000 at a depth of 30 million total reads/sample using paired-end sequencing of 150 base pairs (PE150), to a depth of 30 million total reads/sample. Reads were then mapped to the mouse reference genome (Mus Musculus, GRCm38/mm10) using HISAT2 (version 2.2.1), and duplicated fragments were removed using Picard MarkDuplicates. Differential expression analysis between two conditions (e.g., Morphine and Saline) was performed in R (version 4.1.1) with DESeq2 (v1.32.0) package. Genes were assigned by the authors as differentially expressed if the (adjusted) (nominal) p-value < 0.05. All genes/scores are presented here.
Authors:
Amelia D Dunn, Shivon A Robinson, Chiso Nwokafor, Molly Estill, Julia Ferrante, Li Shen, Crystal O Lemchi, Jordi Creus-Muncunill, Angie Ramirez, Juliet Mengaziol, Julia K Brynildsen, Mark Leggas, Jamie Horn, Michelle E Ehrlich, Julie A Blendy
DEG male mouse forebrain PND14 morphine vs saline_pvalue
Description:
To examine forebrain transcriptomic changes that might elucidate mechanisms of withdrawal, delayed development, and any long-term behavior changes, we generated transcriptomic signatures following our “3-trimester” exposure model (3-Tri). In addition, we also examined transcriptomes from animals that received opioids only during the gestational period (PND1) or only during the last trimester from PND 1–14 (PND 14). We sought to determine whether transcriptomic signatures vary based on the window of exposure, perhaps contributing to the discrepancies in the literature regarding acute and long-term outcomes. Brains were dissected from PND 1 pups 6 h after discovery. Brains were dissected from post-natal exposure only (PND 14) or 3-trimester exposure (3-tri) 6 h after the last morphine or saline injection. The number of animals per group was similar (N = 5–7 animals, male and female C57Bl/6NTac mice), and the quality controls, library construction and sequence parameters were also identical across all groups. Libraries were sequenced on a NovaSeq 6000 at a depth of 30 million total reads/sample using paired-end sequencing of 150 base pairs (PE150), to a depth of 30 million total reads/sample. Reads were then mapped to the mouse reference genome (Mus Musculus, GRCm38/mm10) using HISAT2 (version 2.2.1), and duplicated fragments were removed using Picard MarkDuplicates. Differential expression analysis between two conditions (e.g., Morphine and Saline) was performed in R (version 4.1.1) with DESeq2 (v1.32.0) package. Genes were assigned by the authors as differentially expressed if the (adjusted) (nominal) p-value < 0.05. All genes/scores are presented here.
Authors:
Amelia D Dunn, Shivon A Robinson, Chiso Nwokafor, Molly Estill, Julia Ferrante, Li Shen, Crystal O Lemchi, Jordi Creus-Muncunill, Angie Ramirez, Juliet Mengaziol, Julia K Brynildsen, Mark Leggas, Jamie Horn, Michelle E Ehrlich, Julie A Blendy
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