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Estrogen Receptor α Drives Pro-Resilient Transcription in Mouse Models of Depression

ABSTRACT: Estrogen Receptor α Drives Pro-Resilient Transcription in Mouse Models of Depression

PROVIDER: PRJNA434438 | ENA |

REPOSITORIES: ENA

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Estrogen Receptor α Drives Pro-Resilient Transcription in Mouse Models of Depression

Project description:Most people exposed to stress do not develop depression. Animal models have shown that stress resilience is an active state that requires broad transcriptional adaptations, but how this homeostatic process is regulated remains poorly understood. In this study, we analyze upstream regulators of genes differentially expressed after chronic social defeat stress. We identify estrogen receptor α (ERα) as the top regulator of pro-resilient transcriptional changes in the nucleus accumbens (NAc), a key brain reward region implicated in depression. In accordance with these findings, nuclear ERα protein levels are altered by stress in male and female mice. Further, overexpression of ERα in the NAc promotes stress resilience in both sexes. Subsequent RNA sequencing reveals that ERα overexpression in NAc reproduces the transcriptional signature of resilience in male, but not female, mice. These results indicate that NAc ERα is an important regulator of pro-resilient transcriptional changes, but with sex-specific downstream targets.

2018-02-16 | GSE110725 | GEO

Estrogen receptor ? drives pro-resilient transcription in mouse models of depression.

Project description: Not available

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Annotation of estrogen-regulated enhancer RNAs [PRO-cap]

Project description:Annotation of estrogen-regulated enhancer RNAs [PRO-cap]

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Annotation of estrogen-regulated enhancer RNAs [PRO-cap]

Project description:To annotate estrogen-regulated eRNAs in MCF-7 breast cancer cells, we used precision nuclear run-on and sequencing of capped RNA (PRO-cap) to determine the transcription start sites of eRNAs.

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Nuclear Estrogen Receptor alpha (ERα) interactome following estrogen and antiestrogen treatment.

Project description:The Estrogen Receptor alpha (ERα) controls key cellular functions in hormone responsive breast cancer by assembling in large functional multiprotein complexes. ERα ligands are classified as agonists and antagonist, according to the response they elicit, thus the molecular characterization of the of ERα nuclear iteractome composition following estrogen and antiestrogen stimulation whose is needed to understand their effects on estrogen target tissues, in particular breast cancer. To this aim interaction proteomics coupled to mass spectrometry (MS) was applied to map the ERα nuclear interacting partners in MCF7 breast cancer cell nuclei following estrogen and antiestrogen stimuli.

2020-09-02 | PXD018709 | Pride

Circuit-wide transcriptional profiling reveals region specific gene co-expression networks regulating depression susceptibility

Project description:Depression is a complex and heterogeneous disorder and a leading contributor to the global burden of of disease. Most previous research has focused on individual brain regions and individual genes that contribute to depression. However, emerging evidence in both humans and animal models suggests that dysregulated circuit function and gene expression across multiple brain regions drive depressive phenotypes. Here we use a bioinformatics approach intersecting differential expression analysis with weighted gene co-expression network analysis to identify transcriptional networks that regulate susceptibility to depressive-like symptoms in mice. We performed RNA-sequencing on multiple brain regions from control animals and those either susceptible or resilient to chronic social defeat stress (CSDS) at multiple time points after defeat. We bioinformatically identified several transcriptional networks that regulate depression susceptibility, and in vivo manipulations of these networks confirmed their functional significance at the levels of gene transcription, synaptic regulation, and behavior. Our findings reveal novel transcriptional networks that control stress susceptibility and offer fundamentally new leads for antidepressant drug discovery.

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Nascent RNA sequencing (PRO-seq) after estrogen treatment in T47D cells

Project description:Nascent RNA sequencing (PRO-seq) after estrogen treatment in T47D cells

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Transcriptome Alterations in ASMT Knockout-Induced Depression-Like Behaviors and Exercise Effects

Project description:Sleep disorder caused by abnormal circadian rhythm is one of the main symptoms and risk factors of depression. N-acetylserotonin methyltransferase (ASMT), the last rate-limiting enzyme of melatonin (MT, a known hormone regulating circadian rhythms), has been reportedly associated with depression. Exercise can regulate circadian rhythm and play an important role in depression treatment. Recently, gene chip has been widely used in depression research. In the present study, we showed that ASMT knockout induced depression-like behaviors, which were ameliorated by swimming exercise. Moreover, swimming exercise increased serum levels of MT and 5-HT in ASMT knockout mice. In addition, transcriptome analysis identified 10 differentially expressed genes (DEGs) in KO mice compared with WT mice, and 29 DEGs in KO mice after swimming exercise. Among the DEGs, the direction and magnitude of change in Eps8l1 and Plcb2 were confirmed by qRT-PCR partly. Subsequent bioinformatic analysis showed that p53 signaling pathway, long-term depression and estrogen signaling pathway were enriched significantly. In the protein-protein interaction (PPI) networks, Mpp1 and Pidd1 were hub genes. These findings may provide new targets for the treatment of circadian rhythm-associated depression.

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An Estrogen Receptor α-bound Human Chromatin Interactome

Project description:We developed Chromatin Interaction Analysis by Paired-End Tag sequencing (ChIA-PET) for de novo detection of global chromatin interactions, and comprehensively mapped the chromatin interaction network bound by estrogen receptor α (ERα) in the human genome. We performed 454 and Illumina sequencing analyses. Keywords: Epigenetics Using 454, we examined 3 libraries: IHM001 (Estrogen Receptor ChIA-PET), IHM043 (Estrogen Receptor ChIP-PET) and IHM062 (IgG ChIA-PET) Using Illumina, we examined 4 libraries: IHM001 (Estrogen Receptor ChIA-PET replicate 1, Paired End Sequencing), IHH015 (Estrogen Receptor ChIA-PET replicate 2, Paired End Sequencing), H3K4me3 ChIP-Seq and RNA polymerase II ChIP-Seq

2009-09-11 | E-GEOD-18046 | biostudies-arrayexpress

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