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Journal ArticleDOI

MeCP2 binds to 5hmc enriched within active genes and accessible chromatin in the nervous system

TL;DR: In this paper, a quantitative, genome-wide analysis of 5hmC, 5-methylcytosine (5mC), and gene expression in differentiated CNS cell types in vivo is presented.
Abstract: SUMMARY The high level of 5-hydroxymethylcytosine (5hmC) present in neuronal genomes suggests that mechanisms interpreting 5hmC in the CNS may differ from those present in embryonic stem cells. Here, we present quantitative, genome-wide analysis of 5hmC, 5-methylcytosine (5mC), and gene expression in differentiated CNS cell types in vivo. We report that 5hmC is enriched in active genes and that, surprisingly, strong depletion of 5mC is observed over these regions. The contribution of these epigenetic marks to gene expression depends critically on cell type. We identify methyl-CpG-binding protein 2 (MeCP2) as the major 5hmC-binding protein in the brain and demonstrate that MeCP2 binds 5hmC- and 5mC-containing DNA with similar high affinities. The Rett-syndrome-causing mutation R133C preferentially inhibits 5hmC binding. These findings support a model in which 5hmC and MeCP2 constitute a cell-specific epigenetic mechanism for regulation of chromatin structure and gene expression.

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Citations
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Journal ArticleDOI
TL;DR: This protocol provides a step-by-step guide to implement the TRAP methodology, which takes 2 d to complete once all materials are in hand and bypasses the need for tissue fixation or single-cell suspensions and reports on mRNAs in the entire cell body.
Abstract: Cellular diversity and architectural complexity create barriers to understanding the function of the mammalian CNS at a molecular level. To address this problem, we have recently developed a methodology that provides the ability to profile the entire translated mRNA complement of any genetically defined cell population. This methodology, which we termed translating ribosome affinity purification, or TRAP, combines cell type-specific transgene expression with affinity purification of translating ribosomes. TRAP can be used to study the cell type-specific mRNA profiles of any genetically defined cell type, and it has been used in organisms ranging from Drosophila melanogaster to mice and human cultured cells. Unlike other methodologies that rely on microdissection, cell panning or cell sorting, the TRAP methodology bypasses the need for tissue fixation or single-cell suspensions (and the potential artifacts that these treatments introduce) and reports on mRNAs in the entire cell body. This protocol provides a step-by-step guide to implement the TRAP methodology, which takes 2 d to complete once all materials are in hand.

375 citations

Journal ArticleDOI
18 Sep 2013-Neuron
TL;DR: It is shown that neuronal Tet1 regulates DNA methylation levels and that its expression, independent of its catalytic activity, regulates the expression of CNS activity-dependent genes and memory formation.

374 citations


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Journal ArticleDOI
TL;DR: It is demonstrated that Tet1 plays an important role in regulating neural progenitor cell proliferation in adult mouse brain, and that it is positively involved in the epigenetic regulation of neural progensitor cells proliferation in the adult brain.

320 citations

Journal ArticleDOI
TL;DR: Current research focuses on measuring the pace of aging to identify individuals who are “aging faster” to test and develop interventions that could prevent or delay the progression of multimorbidity and disability with aging.
Abstract: The global population of individuals over the age of 65 is growing at an unprecedented rate and is expected to reach 1.6 billion by 2050. Most older individuals are affected by multiple chronic diseases, leading to complex drug treatments and increased risk of physical and cognitive disability. Improving or preserving the health and quality of life of these individuals is challenging due to a lack of well-established clinical guidelines. Physicians are often forced to engage in cycles of "trial and error" that are centered on palliative treatment of symptoms rather than the root cause, often resulting in dubious outcomes. Recently, geroscience challenged this view, proposing that the underlying biological mechanisms of aging are central to the global increase in susceptibility to disease and disability that occurs with aging. In fact, strong correlations have recently been revealed between health dimensions and phenotypes that are typical of aging, especially with autophagy, mitochondrial function, cellular senescence, and DNA methylation. Current research focuses on measuring the pace of aging to identify individuals who are "aging faster" to test and develop interventions that could prevent or delay the progression of multimorbidity and disability with aging. Understanding how the underlying biological mechanisms of aging connect to and impact longitudinal changes in health trajectories offers a unique opportunity to identify resilience mechanisms, their dynamic changes, and their impact on stress responses. Harnessing how to evoke and control resilience mechanisms in individuals with successful aging could lead to writing a new chapter in human medicine.

304 citations

Journal ArticleDOI
TL;DR: Molecular insights are yielded into the critical functions of MeCP2 that promise to simplify the understanding of RTT pathology.
Abstract: Rett syndrome (RTT) is a severe neurological disorder caused by mutations in the X-linked gene MECP2 (methyl-CpG-binding protein 2). Two decades of research have fostered the view that MeCP2 is a multifunctional chromatin protein that integrates diverse aspects of neuronal biology. More recently, studies have focused on specific RTT-associated mutations within the protein. This work has yielded molecular insights into the critical functions of MeCP2 that promise to simplify our understanding of RTT pathology.

295 citations

References
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Journal ArticleDOI
TL;DR: A method based on the negative binomial distribution, with variance and mean linked by local regression, is proposed and an implementation, DESeq, as an R/Bioconductor package is presented.
Abstract: High-throughput sequencing assays such as RNA-Seq, ChIP-Seq or barcode counting provide quantitative readouts in the form of count data. To infer differential signal in such data correctly and with good statistical power, estimation of data variability throughout the dynamic range and a suitable error model are required. We propose a method based on the negative binomial distribution, with variance and mean linked by local regression and present an implementation, DESeq, as an R/Bioconductor package.

13,356 citations

Journal ArticleDOI
TL;DR: Although >90% of uniquely mapped reads fell within known exons, the remaining data suggest new and revised gene models, including changed or additional promoters, exons and 3′ untranscribed regions, as well as new candidate microRNA precursors.
Abstract: We have mapped and quantified mouse transcriptomes by deeply sequencing them and recording how frequently each gene is represented in the sequence sample (RNA-Seq). This provides a digital measure of the presence and prevalence of transcripts from known and previously unknown genes. We report reference measurements composed of 41–52 million mapped 25-base-pair reads for poly(A)-selected RNA from adult mouse brain, liver and skeletal muscle tissues. We used RNA standards to quantify transcript prevalence and to test the linear range of transcript detection, which spanned five orders of magnitude. Although >90% of uniquely mapped reads fell within known exons, the remaining data suggest new and revised gene models, including changed or additional promoters, exons and 3′ untranscribed regions, as well as new candidate microRNA precursors. RNA splice events, which are not readily measured by standard gene expression microarray or serial analysis of gene expression methods, were detected directly by mapping splice-crossing sequence reads. We observed 1.45 × 10 5 distinct splices, and alternative splices were prominent, with 3,500 different genes expressing one or more alternate internal splices. The mRNA population specifies a cell’s identity and helps to govern its present and future activities. This has made transcriptome analysis a general phenotyping method, with expression microarrays of many kinds in routine use. Here we explore the possibility that transcriptome analysis, transcript discovery and transcript refinement can be done effectively in large and complex mammalian genomes by ultra-high-throughput sequencing. Expression microarrays are currently the most widely used methodology for transcriptome analysis, although some limitations persist. These include hybridization and cross-hybridization artifacts 1–3 , dye-based detection issues and design constraints that preclude or seriously limit the detection of RNA splice patterns and previously unmapped genes. These issues have made it difficult for standard array designs to provide full sequence comprehensiveness (coverage of all possible genes, including unknown ones, in large genomes) or transcriptome comprehensiveness (reliable detection of all RNAs of all prevalence classes, including the least abundant ones that are physiologically relevant). Other

12,293 citations


"MeCP2 binds to 5hmc enriched within..." refers methods in this paper

  • ...Transcript abundance was measured in fragments per kilobase of exon per million fragments mapped (FPKM) similarly to RPKM used in (Mortazavi et al., 2008)....

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Journal ArticleDOI
TL;DR: Details of the aims and methods of Bioconductor, the collaborative creation of extensible software for computational biology and bioinformatics, and current challenges are described.
Abstract: The Bioconductor project is an initiative for the collaborative creation of extensible software for computational biology and bioinformatics. The goals of the project include: fostering collaborative development and widespread use of innovative software, reducing barriers to entry into interdisciplinary scientific research, and promoting the achievement of remote reproducibility of research results. We describe details of our aims and methods, identify current challenges, compare Bioconductor to other open bioinformatics projects, and provide working examples.

12,142 citations


"MeCP2 binds to 5hmc enriched within..." refers methods in this paper

  • ...Finally, differentially expressed genes were identified by performing a negative binomial test using the DESeq package (Anders and Huber, 2010) of R/Bioconductor (Gentleman et al., 2004)....

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Journal ArticleDOI
15 May 2009-Science
TL;DR: It is shown here that TET1, a fusion partner of the MLL gene in acute myeloid leukemia, is a 2-oxoglutarate (2OG)- and Fe(II)-dependent enzyme that catalyzes conversion of 5mC to 5-hydroxymethylcytosine (hmC) in cultured cells and in vitro.
Abstract: DNA cytosine methylation is crucial for retrotransposon silencing and mammalian development. In a computational search for enzymes that could modify 5-methylcytosine (5mC), we identified TET proteins as mammalian homologs of the trypanosome proteins JBP1 and JBP2, which have been proposed to oxidize the 5-methyl group of thymine. We show here that TET1, a fusion partner of the MLL gene in acute myeloid leukemia, is a 2-oxoglutarate (2OG)- and Fe(II)-dependent enzyme that catalyzes conversion of 5mC to 5-hydroxymethylcytosine (hmC) in cultured cells and in vitro. hmC is present in the genome of mouse embryonic stem cells, and hmC levels decrease upon RNA interference–mediated depletion of TET1. Thus, TET proteins have potential roles in epigenetic regulation through modification of 5mC to hmC.

5,155 citations


"MeCP2 binds to 5hmc enriched within..." refers background in this paper

  • ...This is expected because hydroxylation of 5mC results in 5hmC (Tahiliani et al., 2009), and both of these marks cannot exist on one base....

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Journal ArticleDOI
TL;DR: This study reports the first disease-causing mutations in RTT and points to abnormal epigenetic regulation as the mechanism underlying the pathogenesis of RTT.
Abstract: Rett syndrome (RTT, MIM 312750) is a progressive neurodevelopmental disorder and one of the most common causes of mental retardation in females, with an incidence of 1 in 10,000-15,000 (ref. 2). Patients with classic RTT appear to develop normally until 6-18 months of age, then gradually lose speech and purposeful hand use, and develop microcephaly, seizures, autism, ataxia, intermittent hyperventilation and stereotypic hand movements. After initial regression, the condition stabilizes and patients usually survive into adulthood. As RTT occurs almost exclusively in females, it has been proposed that RTT is caused by an X-linked dominant mutation with lethality in hemizygous males. Previous exclusion mapping studies using RTT families mapped the locus to Xq28 (refs 6,9,10,11). Using a systematic gene screening approach, we have identified mutations in the gene (MECP2 ) encoding X-linked methyl-CpG-binding protein 2 (MeCP2) as the cause of some cases of RTT. MeCP2 selectively binds CpG dinucleotides in the mammalian genome and mediates transcriptional repression through interaction with histone deacetylase and the corepressor SIN3A (refs 12,13). In 5 of 21 sporadic patients, we found 3 de novo missense mutations in the region encoding the highly conserved methyl-binding domain (MBD) as well as a de novo frameshift and a de novo nonsense mutation, both of which disrupt the transcription repression domain (TRD). In two affected half-sisters of a RTT family, we found segregation of an additional missense mutation not detected in their obligate carrier mother. This suggests that the mother is a germline mosaic for this mutation. Our study reports the first disease-causing mutations in RTT and points to abnormal epigenetic regulation as the mechanism underlying the pathogenesis of RTT.

4,503 citations


"MeCP2 binds to 5hmc enriched within..." refers background in this paper

  • ...…each cell type, the phenotypic consequences of changes in the function of MeCP2, whether as a result of mutation (Adkins and Georgel, 2011; Tao andWu, 2009; Amir et al., 1999) or posttranslational modification (Rutlin and Nelson, 2011; Gonzales et al., 2012), will be cell type and circuit specific....

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