SynthesisNeuroscience2010
A cross-laboratory comparison of expression profiling data from normal human postmortem brain.
Synthesis in Neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 5 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Postmortem evidence of decreased brain pH in major depressive disorder: a systematic review and meta-analysis.Translational psychiatry · 2024Pooled it
- Concordance analysis of microarray studies identifies representative gene expression changes in Parkinson's disease: a comparison of 33 human and animal studies.BMC neurology · 2017Pooled it
- Meta-analysis of sex differences in gene expression in schizophrenia.BMC systems biology · 2016Pooled it
- Meta-Analysis of Gene Expression in Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism Research · 2015Pooled it
- Meta-analysis of gene coexpression networks in the post-mortem prefrontal cortex of patients with schizophrenia and unaffected controls.BMC neuroscience · 2013Pooled it
- Lactate-Mediated Brain Acidosis Drives Epigenetic Dysregulation of TGFB2 and Associated Gene Networks in Schizophrenia and Bipolar Disorder.International journal of molecular sciences · 2026Article
- Gene Expression Signatures of Immaturity, Decreased pH, and Neural Hyperexcitation in the Hippocampus of Alzheimer's Disease Model Mice.Neuropsychopharmacology reports · 2025Article
- Article
- The gene expression patterns as surrogate indices of pH in the brain.Frontiers in psychiatry · 2023Article
- Bioinformatics analysis of long non-coding RNA-associated competing endogenous RNA network in schizophrenia.Scientific reports · 2021Article
- A pH-eQTL Interaction at theFrontiers in aging neuroscience · 2021Article
- Central and Peripheral Changes in FOS Expression in Schizophrenia Based on Genome-Wide Gene Expression.Frontiers in genetics · 2019Article
- Transcriptomic characterization of MRI contrast with focus on the T1-w/T2-w ratio in the cerebral cortex.NeuroImage · 2018Article
- Transcriptomic Characterization of the Human Habenula Highlights Drug Metabolism and the Neuroimmune System.Frontiers in neuroscience · 2018Article
- Age-Related Gene Expression in the Frontal Cortex Suggests Synaptic Function Changes in Specific Inhibitory Neuron Subtypes.Frontiers in aging neuroscience · 2017Article
- Transcriptome-wide mega-analyses reveal joint dysregulation of immunologic genes and transcription regulators in brain and blood in schizophrenia.Schizophrenia research · 2016Article
- Modeling synaptogenesis in schizophrenia and autism using human iPSC derived neurons.Molecular and cellular neurosciences · 2016Review
- A FreeSurfer view of the cortical transcriptome generated from the Allen Human Brain Atlas.Frontiers in neuroscience · 2015Article
- Genome-wide expression profiling of schizophrenia using a large combined cohort.Molecular psychiatry · 2013Article
- Detecting disease-associated genes with confounding variable adjustment and the impact on genomic meta-analysis: with application to major depressive disorder.BMC bioinformatics · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Expression profiling of post-mortem human brain tissue has been widely used to study molecular changes associated with neuropsychiatric diseases as well as normal processes such as aging. Changes in expression associated with factors such as age, gender or postmortem interval are often more pronounced than changes associated with disease. Therefore in addition to being of interest in their own right, careful consideration of these effects are important in the interpretation of disease studies. We performed a large meta-analysis of genome-wide expression studies of normal human cortex to more fully catalogue the effects of age, gender, postmortem interval and brain pH, yielding a "meta-signature" of gene expression changes for each factor. We validated our results by showing a significant overlap with independent gene lists extracted from the literature. Importantly, meta-analysis identifies genes which are not significant in any individual study. Finally, we show that many schizophrenia candidate genes appear in the meta-signatures, reinforcing the idea that studies must be carefully controlled for interactions between these factors and disease. In addition to the inherent value of the meta-signatures, our results provide critical information for future studies of disease effects in the human brain.
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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.