ArticlePLoS computational biology2011
Gene expression in the rodent brain is associated with its regional connectivity.
Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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
38 citing papers in PubMed, 60 citations in OpenAlex.
- Global spatiotemporal synchronizing structures of spontaneous neural activities in different cell types.Nature communications · 2024Article
- Structural connectome architecture shapes the maturation of cortical morphology from childhood to adolescence.Nature communications · 2024Article
- Towards a biologically annotated brain connectome.Nature reviews. Neuroscience · 2023Review
- Connectomes: from a sparsity of networks to large-scale databases.Frontiers in neuroinformatics · 2023Review
- Uncovering Statistical Links Between Gene Expression and Structural Connectivity Patterns in the Mouse Brain.Neuroinformatics · 2021Article
- Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data.Nature communications · 2021Article
- Prediction of a Cell-Class-Specific Mouse Mesoconnectome Using Gene Expression Data.Neuroinformatics · 2020Article
- Comparison of brain connectomes by MRI and genomics and its implication in Alzheimer's disease.BMC medicine · 2020Article
- Uncovering the Transcriptional Correlates of Hub Connectivity in Neural Networks.Frontiers in neural circuits · 2019Review
- Topological gene expression networks recapitulate brain anatomy and function.Network neuroscience (Cambridge, Mass.) · 2019Article
- Brain structural alterations are distributed following functional, anatomic and genetic connectivity.Brain : a journal of neurology · 2018Article
- Neuronal Activities in the Mouse Visual Cortex Predict Patterns of Sensory Stimuli.Neuroinformatics · 2018Article
- The morphometric co-atrophy networking of schizophrenia, autistic and obsessive spectrum disorders.Human brain mapping · 2018Article
- Gene expression links functional networks across cortex and striatum.Nature communications · 2018Article
- Mapping Molecular Datasets Back to the Brain Regions They are Extracted from: Remembering the Native Countries of Hypothalamic Expatriates and Refugees.Advances in neurobiology · 2018Article
- Different Behavioral Experiences Produce Distinctive Parallel Changes in, and Correlate With, Frontal Cortex and Hippocampal Global Post-translational Histone Levels.Frontiers in integrative neuroscience · 2018Article
- Gene networks show associations with seed region connectivity.Human brain mapping · 2017Article
- Brain transcriptome atlases: a computational perspective.Brain structure & function · 2017Review
- Network neuroscience.Nature neuroscience · 2017Review
- Cognitive genomics: Linking genes to behavior in the human brain.Network neuroscience (Cambridge, Mass.) · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The putative link between gene expression of brain regions and their neural connectivity patterns is a fundamental question in neuroscience. Here this question is addressed in the first large scale study of a prototypical mammalian rodent brain, using a combination of rat brain regional connectivity data with gene expression of the mouse brain. Remarkably, even though this study uses data from two different rodent species (due to the data limitations), we still find that the connectivity of the majority of brain regions is highly predictable from their gene expression levels-the outgoing (incoming) connectivity is successfully predicted for 73% (56%) of brain regions, with an overall fairly marked accuracy level of 0.79 (0.83). Many genes are found to play a part in predicting both the incoming and outgoing connectivity (241 out of the 500 top selected genes, p-value<1e-5). Reassuringly, the genes previously known from the literature to be involved in axon guidance do carry significant information about regional brain connectivity. Surveying the genes known to be associated with the pathogenesis of several brain disorders, we find that those associated with schizophrenia, autism and attention deficit disorder are the most highly enriched in the connectivity-related genes identified here. Finally, we find that the profile of functional annotation groups that are associated with regional connectivity in the rodent is significantly correlated with the annotation profile of genes previously found to determine neural connectivity in C. elegans (Pearson correlation of 0.24, p<1e-6 for the outgoing connections and 0.27, p<1e-5 for the incoming). Overall, the association between connectivity and gene expression in a specific extant rodent species' brain is likely to be even stronger than found here, given the limitations of current data.
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.