ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2014
The predictive power of brain mRNA mappings for in vivo protein density: a positron emission tomography correlation study.
Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 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
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.
- Association of CNR1 gene and cannabinoid 1 receptor protein in the human brain.Journal of neuroscience research · 2023Pooled it
- Neurospecific Molecules Measured in Periphery in Humans: How Do They Correlate with the Brain Levels? A Systematic Review.International journal of molecular sciences · 2022Pooled it
- Kinetic modelling of [Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2018Trial
- The PET Radioligand 18F-FIMX Images and Quantifies Metabotropic Glutamate Receptor 1 in Proportion to the Regional Density of Its Gene Transcript in Human Brain.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2016Trial
- Inter-individual variability of neurotransmitter receptor and transporter density in the human brain.Brain structure & function · 2026Article
- Benchmarking macaque brain gene expression for horizontal and vertical translation.Science advances · 2025Article
- Involvement of dopamine D3 receptor in impulsive choice decision-making in male rats.Neuropharmacology · 2024Article
- Article
- Association of protein distribution and gene expression revealed by positron emission tomography and postmortem gene expression in the dopaminergic system of the human brain.European journal of nuclear medicine and molecular imaging · 2023Article
- From neurotransmitters to networks: Transcending organisational hierarchies with molecular-informed functional imaging.Neuroscience and biobehavioral reviews · 2023Review
- Cellular and molecular signatures of in vivo imaging measures of GABAergic neurotransmission in the human brain.Communications biology · 2022Article
- Imaging of the glioma microenvironment by TSPO PET.European journal of nuclear medicine and molecular imaging · 2021Review
- Specific and non-specific binding of a tracer for the translocator-specific protein in schizophrenia: an [11C]-PBR28 blocking study.European journal of nuclear medicine and molecular imaging · 2021Article
- Article
- Multimodal partial volume correction: Application to [Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2017Article
- Brain transcriptome atlases: a computational perspective.Brain structure & function · 2017Review
- A High-Resolution In Vivo Atlas of the Human Brain's Serotonin System.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017Article
- Association of Protein Distribution and Gene Expression Revealed by PET and Post-Mortem Quantification in the Serotonergic System of the Human Brain.Cerebral cortex (New York, N.Y. : 1991) · 2017Article
- Measuring specific receptor binding of a PET radioligand in human brain without pharmacological blockade: The genomic plot.NeuroImage · 2016Article
- MENGA: A New Comprehensive Tool for the Integration of Neuroimaging Data and the Allen Human Brain Transcriptome Atlas.PloS one · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 4 countries.
Funding
Abstract
Substantial efforts are being spent on postmortem mRNA transcription mapping on the assumption that in vivo protein distribution can be predicted from such data. We tested this assumption by comparing mRNA transcription maps from the Allen Human Brain Atlas with reference protein concentration maps acquired with positron emission tomography (PET) in two representative systems of neurotransmission (opioid and serotoninergic). We found a tight correlation between mRNA expression and specific binding with 5-HT1A receptors measured with PET, but for opioid receptors, the correlation was weak. The discrepancy can be explained by differences in expression regulation between the two systems: transcriptional mechanisms dominate the regulation in the serotoninergic system, whereas in the opioid system proteins are further modulated after transcription. We conclude that mRNA information can be exploited for systems where translational mechanisms predominantly regulate expression. Where posttranscriptional mechanisms are important, mRNA data have to be interpreted with caution. The methodology developed here can be used for probing assumptions about the relationship of mRNA and protein in multiple neurotransmission systems.
Indexed as
Identifiers
What OpenQuestion holds
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.