ArticleBMC genomics2022
Systematic investigation of imprinted gene expression and enrichment in the mouse brain explored at single-cell resolution.
Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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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.
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Who cites it
13 citing papers in PubMed, 17 citations in OpenAlex.
- Investigating the Contribution of the Imprinted Gene Asb4 to Parental Care.The European journal of neuroscience · 2026Article
- How Imprinted Genes Shape Nurturing Behaviours and Neural Circuits.Brain, behavior and evolution · 2026Review
- Monoallelic gene expression in developing cells increases genetic noise and Shannon entropy.Communications biology · 2025Article
- Mom genes and dad genes: genomic imprinting in the regulation of social behaviors.Epigenomics · 2025Review
- Imprinting disorders as a window to understand pediatric feeding disorders.Orphanet journal of rare diseases · 2025Article
- Light and sex modifybioRxiv : the preprint server for biology · 2025Article
- Brinkmanship in intragenomic conflict.Proceedings. Biological sciences · 2025Article
- Differential 3D genome architecture and imprinted gene expression: cause or consequence?Biochemical Society transactions · 2024Review
- Imprinted genes and the manipulation of parenting in mammals.Nature reviews. Genetics · 2023Review
- The parenting hub of the hypothalamus is a focus of imprinted gene action.PLoS genetics · 2023Article
- Imprinted Long Non-Coding RNAs in Mammalian Development and Disease.International journal of molecular sciences · 2023Review
- Hormonal Imbalances in Prader-Willi and Schaaf-Yang Syndromes Imply the Evolution of Specific Regulation of Hypothalamic Neuroendocrine Function in Mammals.International journal of molecular sciences · 2023Review
- The imprintedeLife · 2022Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundAlthough a number of imprinted genes are known to be highly expressed in the brain, and in certain brain regions in particular, whether they are truly over-represented in the brain has never been formally tested. Using thirteen single-cell RNA sequencing datasets we systematically investigated imprinted gene over-representation at the organ, brain region, and cell-specific levels.
resultsWe established that imprinted genes are indeed over-represented in the adult brain, and in neurons particularly compared to other brain cell-types. We then examined brain-wide datasets to test enrichment within distinct brain regions and neuron subpopulations and demonstrated over-representation of imprinted genes in the hypothalamus, ventral midbrain, pons and medulla. Finally, using datasets focusing on these regions of enrichment, we identified hypothalamic neuroendocrine populations and the monoaminergic hindbrain neurons as specific hotspots of imprinted gene expression.
conclusionsThese analyses provide the first robust assessment of the neural systems on which imprinted genes converge. Moreover, the unbiased approach, with each analysis informed by the findings of the previous level, permits highly informed inferences about the functions on which imprinted gene expression converges. Our findings indicate the neuronal regulation of motivated behaviours such as feeding and sleep, alongside the regulation of pituitary function, as functional hotspots for imprinting. This adds statistical rigour to prior assumptions and provides testable predictions for novel neural and behavioural phenotypes associated with specific genes and imprinted gene networks. In turn, this work sheds further light on the potential evolutionary drivers of genomic imprinting in the 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.