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Neurons show distinctive DNA methylation profile and higher interindividual variations compared with non-neurons.

ABSTRACT: Epigenome information in mammalian brain cells reflects their developmental history, neuronal activity, and environmental exposures. Studying the epigenetic modifications present in neuronal cells is critical to a more complete understanding of the role of the genome in brain functions. We performed comprehensive DNA methylation analysis in neuronal and non-neuronal nuclei obtained from the human prefrontal cortex. Neuronal nuclei manifest qualitatively and quantitatively distinctive DNA methylation patterns, including relative global hypomethylation, differential enrichment of transcription-factor binding sites, and higher methylation of genes expressed in astrocytes. Non-neuronal nuclei showed indistinguishable DNA methylation patterns from bulk cortex and higher methylation of synaptic transmission-related genes compared with neuronal nuclei. We also found higher variation in DNA methylation in neuronal nuclei, suggesting that neuronal cells have more potential ability to change their epigenetic status in response to developmental and environmental conditions compared with non-neuronal cells in the central nervous system.

SUBMITTER: Iwamoto K

PROVIDER: S-EPMC3083085 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature

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Neurons show distinctive DNA methylation profile and higher interindividual variations compared with non-neurons.

Iwamoto Kazuya K Bundo Miki M Ueda Junko J Oldham Michael C MC Ukai Wataru W Hashimoto Eri E Saito Toshikazu T Geschwind Daniel H DH Kato Tadafumi T

Genome research 20110405 5

Epigenome information in mammalian brain cells reflects their developmental history, neuronal activity, and environmental exposures. Studying the epigenetic modifications present in neuronal cells is critical to a more complete understanding of the role of the genome in brain functions. We performed comprehensive DNA methylation analysis in neuronal and non-neuronal nuclei obtained from the human prefrontal cortex. Neuronal nuclei manifest qualitatively and quantitatively distinctive DNA methyla ...[more]

PMID: 21467265

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Project description:BACKGROUND:Crohn's disease (CD) is characterized by persistent inflammation and ulceration of the small or large bowel, and expansion of mesenteric adipose tissue, termed creeping fat (CF). We previously demonstrated that human adipose-derived stem cells (hASCs) from CF of patients with CD exhibit dysfunctional phenotypes, including a pro-inflammatory profile, high phagocytic capacity, and weak immunosuppressive properties. Importantly, these phenotypes persist in patients in remission and are found in all adipose depots explored including subcutaneous fat. We hypothesized that changes in hASCs are a consequence of epigenetic modifications. METHODS:We applied epigenome-wide profiling with a methylation array (Illumina EPIC/850k array) and gene expression analysis to explore the impact of CD on the methylation signature of hASCs isolated from the subcutaneous fat of patients with CD and healthy controls (n = 7 and 5, respectively; cohort I). Differentially methylated positions (p value cutoff <?1 × 10-4 and ten or more DMPs per gene) and regions (inclusion threshold 0.2, p value cutoff <?1 × 10-2 and more than 2 DMRs per gene) were identified using dmpfinder and Bumphunter (minfi), respectively. Changes in the expression of differentially methylated genes in hASCs were validated in a second cohort (n = 10/10 inactive and active CD and 10 controls; including patients from cohort I) and also in peripheral blood mononuclear cells (PBMCs) of patients with active/inactive CD and of healthy controls (cohort III; n = 30 independent subjects). RESULTS:We found a distinct DNA methylation landscape in hASCs from patients with CD, leading to changes in the expression of differentially methylated genes involved in immune response, metabolic, cell differentiation, and development processes. Notably, the expression of several of these genes in hASCs and PBMCs such as tumor necrosis factor alpha (TNFA) and PR domain zinc finger protein 16 (PRDM16) were not restored to normal (healthy) levels after disease remission. CONCLUSIONS:hASCs of patients with CD exhibit a unique DNA methylation and gene expression profile, but the expression of several genes are only partially restored in patients with inactive CD, both in hASCs and PBMCs. Understanding how CD shapes the functionality of hASCs is critical for investigating the complex pathophysiology of this disease, as well as for the success of cell-based therapies. Human adipose-stem cells isolated from subcutaneous fat of patients with Crohn's disease exhibit an altered DNA methylation pattern and gene expression profile compared with those isolated from healthy individuals, with immune system, cell differentiation, metabolic and development processes identified as the main pathways affected. Interestingly, the gene expression of several genes involved in these pathways is only partially restored to control levels in patients with inactive Crohn's disease, both in human adipose-stem cells and peripheral blood mononuclear cells. Understanding how Crohn's disease shapes the functionality of human adipose-stem cells is critical for investigating the complex pathophysiology of this disease, as well as for the success of cell-based therapies.

Project description:Autism spectrum disorder (ASD) is currently diagnosed according to behavioral criteria. Biomarkers that identify children with ASD could lead to more accurate and early diagnosis. ASD is a complex disorder with multifactorial and heterogeneous etiology supporting recognition of biomarkers that identify patient subsets. We investigated an easily testable blood metabolic profile associated with ASD diagnosis using high throughput analyses of samples extracted from dried blood spots (DBS). A targeted panel of 45 ASD analytes including acyl-carnitines and amino acids extracted from DBS was examined in 83 children with ASD (60 males; age 6.06 ± 3.58, range: 2-10 years) and 79 matched, neurotypical (NT) control children (57 males; age 6.8 ± 4.11 years, range 2.5-11 years). Based on their chronological ages, participants were divided in two groups: younger or older than 5 years. Two-sided T-tests were used to identify significant differences in measured metabolite levels between groups. Näive Bayes algorithm trained on the identified metabolites was used to profile children with ASD vs. NT controls. Of the 45 analyzed metabolites, nine (20%) were significantly increased in ASD patients including the amino acid citrulline and acyl-carnitines C2, C4DC/C5OH, C10, C12, C14:2, C16, C16:1, C18:1 (P: < 0.001). Näive Bayes algorithm using acyl-carnitine metabolites which were identified as significantly abnormal showed the highest performances for classifying ASD in children younger than 5 years (n: 42; mean age 3.26 ± 0.89) with 72.3% sensitivity (95% CI: 71.3;73.9), 72.1% specificity (95% CI: 71.2;72.9) and a diagnostic odds ratio 11.25 (95% CI: 9.47;17.7). Re-test analyses as a measure of validity showed an accuracy of 73% in children with ASD aged ≤ 5 years. This easily testable, non-invasive profile in DBS may support recognition of metabolic ASD individuals aged ≤ 5 years and represents a potential complementary tool to improve diagnosis at earlier stages of ASD development.

Dataset Information

Neurons show distinctive DNA methylation profile and higher interindividual variations compared with non-neurons.

Publications

Neurons show distinctive DNA methylation profile and higher interindividual variations compared with non-neurons.

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