ArticleTranslational psychiatry2015
Identification of genes and gene pathways associated with major depressive disorder by integrative brain analysis of rat and human prefrontal cortex transcriptomes.
Article in Translational psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.
- A Systematic Review of Circulatory microRNAs in Major Depressive Disorder: Potential Biomarkers for Disease Prognosis.International journal of molecular sciences · 2022Pooled it
- Role of microRNAs in major brain diseases, focusing on neuroinflammation and neuronal apoptosis.Iranian journal of basic medical sciences · 2026Review
- Review
- An Updated Bio-Behavioral Profile of the Flinders Sensitive Line Rat: Reviewing the Findings of the Past Decade.Pharmacology research & perspectives · 2025Review
- Novel Insights into Changes in Gene Expression within the Hypothalamus in Two Asthma Mouse Models: A Transcriptomic Lung-Brain Axis Study.International journal of molecular sciences · 2024Article
- Neuroimaging Genomics a Predictor of Major Depressive Disorder (MDD).Molecular neurobiology · 2024Review
- Cellular Organelle-Related Transcriptomic Profile Abnormalities in Neuronopathic Types of Mucopolysaccharidosis: A Comparison with Other Neurodegenerative Diseases.Current issues in molecular biology · 2024Article
- Chronic nicotine exposure induces molecular and transcriptomic endophenotypes associated with mood and anxiety disorders in a cerebral organoid neurodevelopmental model.Frontiers in pharmacology · 2024Article
- The ERK phosphorylation levels in the amygdala predict anxiety symptoms in humans and MEK/ERK inhibition dissociates innate and learned defensive behaviors in rats.Molecular psychiatry · 2021Article
- Transcriptomic signaling pathways involved in a naturalistic model of inflammation-related depression and its remission.Translational psychiatry · 2021Article
- Cortical structural differences in major depressive disorder correlate with cell type-specific transcriptional signatures.Nature communications · 2021Article
- Altered miRNA landscape of the anterior cingulate cortex is associated with potential loss of key neuronal functions in depressed brain.European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology · 2020Article
- Exploring the neuropsychiatric spectrum using high-content functional analysis of single-cell signaling networks.Molecular psychiatry · 2020Article
- Proteomics and Metabolomics Approaches towards a Functional Insight onto AUTISM Spectrum Disorders: Phenotype Stratification and Biomarker Discovery.International journal of molecular sciences · 2020Review
- Impact of Expression and Genetic Variation of microRNA-34b/c on Cognitive Dysfunction in Patients with Major Depressive Disorder.Neuropsychiatric disease and treatment · 2020Article
- Stress resilience is promoted by a Zfp189-driven transcriptional network in prefrontal cortex.Nature neuroscience · 2019Article
- Integration of transcriptomic and cytoarchitectonic data implicates a role for MAOA and TAC1 in the limbic-cortical network.Brain structure & function · 2018Article
- Highly polygenic architecture of antidepressant treatment response: Comparative analysis of SSRI and NRI treatment in an animal model of depression.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2017Article
- Identification of MicroRNA-124-3p as a Putative Epigenetic Signature of Major Depressive Disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2017Article
- Translational Identification of Transcriptional Signatures of Major Depression and Antidepressant Response.Frontiers in molecular neuroscience · 2017Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
Despite moderate heritability estimates, progress in uncovering the molecular substrate underpinning major depressive disorder (MDD) has been slow. In this study, we used prefrontal cortex (PFC) gene expression from a genetic rat model of MDD to inform probe set prioritization in PFC in a human post-mortem study to uncover genes and gene pathways associated with MDD. Gene expression differences between Flinders sensitive (FSL) and Flinders resistant (FRL) rat lines were statistically evaluated using the RankProd, non-parametric algorithm. Top ranking probe sets in the rat study were subsequently used to prioritize orthologous selection in a human PFC in a case-control post-mortem study on MDD from the Stanley Brain Consortium. Candidate genes in the human post-mortem study were then tested against a matched control sample using the RankProd method. A total of 1767 probe sets were differentially expressed in the PFC between FSL and FRL rat lines at (q⩽0.001). A total of 898 orthologous probe sets was found on Affymetrix's HG-U95A chip used in the human study. Correcting for the number of multiple, non-independent tests, 20 probe sets were found to be significantly dysregulated between human cases and controls at q⩽0.05. These probe sets tagged the expression profile of 18 human genes (11 upregulated and seven downregulated). Using an integrative rat-human study, a number of convergent genes that may have a role in pathogenesis of MDD were uncovered. Eighty percent of these genes were functionally associated with a key stress response signalling cascade, involving NF-κB (nuclear factor kappa-light-chain-enhancer of activated B cells), AP-1 (activator protein 1) and ERK/MAPK, which has been systematically associated with MDD, neuroplasticity and neurogenesis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.