Mus musculus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA185171 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Selective serotonin reuptake inhibitors (SSRIs) such as fluoxetine are the most common treatment for major depression. However, approximately 50% of depressed patients fail to achieve an effective treatment response. Understanding how gene expression systems relate to treatment responses may be critical for understanding antidepressant resistance. Transcriptome profiling allows for the simultaneous measurement of expression levels for thousands of genes and the opportunity to utilize this information to determine mechanisms underlying antidepressant treatment responses. However, the best way to relate this immense amount of information to treatment resistance remains unclear. We take a novel approach to this question by examining dentate gyrus transcriptomes from the perspective of a stereotyped fluoxetine-induced gene expression program. Expression programs usually represent stereotyped changes in expression levels that occur as cells transition phenotypes. Fluoxetine will shift transcriptomes so they lie somewhere between a baseline state and a full-response at the end of the program. The position along this fluoxetine-induced gene expression program (program status) was measured using principal components analysis (PCA). The same expression program was initiated in treatment-responsive and resistant mice but treatment response was associated with further progression along the fluoxetine-induced gene expression program. The study of treatment-related differences in gene expression program status represents a novel way to conceptualize differences in treatment responses at a transcriptome level. Understanding how antidepressant-induced gene expression program progression is modulated represents an important area for future research and could guide efforts to develop novel augmentation strategies for antidepressant treatment resistant individuals. 38 samples, 2 dentate regions (dorsal/ventral), 3 groups (control, antidepressant resistant (4 mice), antidepressant responsive (7 mice), untreated (8 mice).
2013-12-31 | E-GEOD-43261 | biostudies-arrayexpress
Project description:Selective serotonin reuptake inhibitors (SSRIs) such as fluoxetine are the most common treatment for major depression. However, approximately 50% of depressed patients fail to achieve an effective treatment response. Understanding how gene expression systems relate to treatment responses may be critical for understanding antidepressant resistance. Transcriptome profiling allows for the simultaneous measurement of expression levels for thousands of genes and the opportunity to utilize this information to determine mechanisms underlying antidepressant treatment responses. However, the best way to relate this immense amount of information to treatment resistance remains unclear. We take a novel approach to this question by examining dentate gyrus transcriptomes from the perspective of a stereotyped fluoxetine-induced gene expression program. Expression programs usually represent stereotyped changes in expression levels that occur as cells transition phenotypes. Fluoxetine will shift transcriptomes so they lie somewhere between a baseline state and a full-response at the end of the program. The position along this fluoxetine-induced gene expression program (program status) was measured using principal components analysis (PCA). The same expression program was initiated in treatment-responsive and resistant mice but treatment response was associated with further progression along the fluoxetine-induced gene expression program. The study of treatment-related differences in gene expression program status represents a novel way to conceptualize differences in treatment responses at a transcriptome level. Understanding how antidepressant-induced gene expression program progression is modulated represents an important area for future research and could guide efforts to develop novel augmentation strategies for antidepressant treatment resistant individuals.
2013-12-31 | GSE43261 | GEO
Project description:The gene expression patterns in the dentate gyrus of wild-type mice treated with fluoxetine (15 mg/kg/day for 3 weeks) or vehicle were examined using Affymetrix GeneChip arrays.
2019-02-25 | GSE118669 | GEO
Project description:RNA-seq experiment in J20 hAPP mice and littermate controls measuring total RNA in lysate of microdissected dentate gyrus
2020-12-09 | E-MTAB-8963 | ExpressionAtlas
Project description:Proteomics of the dentate gyrus reveals semantic dementia specific molecular pathology
2024-06-05 | E-PROT-148 | ExpressionAtlas
Project description:Transcription profiling by high throughput sequencing of three populations of primary dentate gyrus cells
2019-05-14 | E-GEOD-68270 | ExpressionAtlas
Project description:Gene expression microarray analysis on the dentate gyrus of mice chronically treated with fluoxetine
| PRJNA486386 | ENA
Project description:Groups of 8 adult BALB/c male mice were either untreated or exposed for 9 weeks to unpredicatble chronic mild stress (UCMS), or exposed for 7 weeks to UCMS and treated for the last 5 weeks with fluoxetine (Flx) diluted in drinking water, or untreated for 2 weeks and received Flx for 5 weeks. Total RNAs from dentate gyrus (DG) and anterior cingulate cortex (ACC) were profiled after hybridization with Agilent SurePrint G3 Mouse GE 8x60K Microarray v1 to identify transcriptional biomarkers of major depression.
2017-09-14 | GSE84183 | GEO
Project description:RNA sequencing was performed on 5454 single cells from dentate gyrus of CD-1 mice, sampled at postnatal day 12, 16, 24 and 35, with the aim of studying the postnatal dentate gyrus neurogenesis.
2017-12-13 | GSE95315 | GEO
Project description:The dentate gyrus of the hippocampus is a brain region involved in learning, memory formation, and spatial coding. We performed single-cell RNA-sequencing of the dentate gyrus of young and old mice to identify the age-induced changes.
2023-07-19 | GSE205936 | GEO