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1.
Epigenomics ; 12(12): 1053-1070, 2020 06.
Article in English | MEDLINE | ID: mdl-32677466

ABSTRACT

Aim: To provide a comprehensive understanding of gene regulatory networks in the developing human brain and a foundation for interpreting pathogenic deregulation. Materials & methods: We generated reference epigenomes and transcriptomes of dissected brain regions and primary neural progenitor cells (NPCs) derived from cortical and ganglionic eminence tissues of four normal human fetuses. Results: Integration of these data across developmental stages revealed a directional increase in active regulatory states, transcription factor activities and gene transcription with developmental stage. Consistent with differences in their biology, NPCs derived from cortical and ganglionic eminence regions contained common, region specific, and gestational week specific regulatory states. Conclusion: We provide a high-resolution regulatory network for NPCs from different brain regions as a comprehensive reference for future studies.


Subject(s)
Brain/embryology , Epigenesis, Genetic , Gene Expression Regulation, Developmental , Epigenome , Female , Fetus , Humans , Neural Stem Cells , Pregnancy , Transcriptome , Twins
2.
Nat Commun ; 6: 6351, 2015 Feb 18.
Article in English | MEDLINE | ID: mdl-25690954

ABSTRACT

While significant effort has been dedicated to the characterization of epigenetic changes associated with prenatal differentiation, relatively little is known about the epigenetic changes that accompany post-natal differentiation where fully functional differentiated cell types with limited lifespans arise. Here we sought to address this gap by generating epigenomic and transcriptional profiles from primary human breast cell types isolated from disease-free human subjects. From these data we define a comprehensive human breast transcriptional network, including a set of myoepithelial- and luminal epithelial-specific intronic retention events. Intersection of epigenetic states with RNA expression from distinct breast epithelium lineages demonstrates that mCpG provides a stable record of exonic and intronic usage, whereas H3K36me3 is dynamic. We find a striking asymmetry in epigenomic reprogramming between luminal and myoepithelial cell types, with the genomes of luminal cells harbouring more than twice the number of hypomethylated enhancer elements compared with myoepithelial cells.


Subject(s)
Breast/metabolism , Epigenesis, Genetic , Gene Expression Regulation , Breast/cytology , Cell Cycle , Cell Differentiation , Cell Separation , Chromatin/chemistry , Chromatin Immunoprecipitation , CpG Islands , Epigenomics , Epithelial Cells/cytology , Exons , Female , Flow Cytometry , Genome, Human , Histones/chemistry , Humans , Introns , Karyotyping , MicroRNAs/metabolism , Sequence Analysis, RNA , Transcription, Genetic
3.
Nat Genet ; 45(7): 836-41, 2013 Jul.
Article in English | MEDLINE | ID: mdl-23708189

ABSTRACT

Transposable element (TE)-derived sequences comprise half of the human genome and DNA methylome and are presumed to be densely methylated and inactive. Examination of genome-wide DNA methylation status within 928 TE subfamilies in human embryonic and adult tissues identified unexpected tissue-specific and subfamily-specific hypomethylation signatures. Genes proximal to tissue-specific hypomethylated TE sequences were enriched for functions important for the relevant tissue type, and their expression correlated strongly with hypomethylation within the TEs. When hypomethylated, these TE sequences gained tissue-specific enhancer marks, including monomethylation of histone H3 at lysine 4 (H3K4me1) and occupancy by p300, and a majority exhibited enhancer activity in reporter gene assays. Many such TEs also harbored binding sites for transcription factors that are important for tissue-specific functions and showed evidence of evolutionary selection. These data suggest that sequences derived from TEs may be responsible for wiring tissue type-specific regulatory networks and may have acquired tissue-specific epigenetic regulation.


Subject(s)
DNA Methylation , DNA Transposable Elements/genetics , Enhancer Elements, Genetic/genetics , Multigene Family/genetics , Adult , Binding Sites/genetics , Cells, Cultured , Chromosome Mapping , Embryo, Mammalian , Epigenesis, Genetic , Genome, Human , Histones/genetics , Histones/metabolism , Humans , Organ Specificity/genetics
4.
Nat Genet ; 45(3): 279-84, 2013 Mar.
Article in English | MEDLINE | ID: mdl-23334666

ABSTRACT

Neuroblastoma is a malignancy of the developing sympathetic nervous system that often presents with widespread metastatic disease, resulting in survival rates of less than 50%. To determine the spectrum of somatic mutation in high-risk neuroblastoma, we studied 240 affected individuals (cases) using a combination of whole-exome, genome and transcriptome sequencing as part of the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) initiative. Here we report a low median exonic mutation frequency of 0.60 per Mb (0.48 nonsilent) and notably few recurrently mutated genes in these tumors. Genes with significant somatic mutation frequencies included ALK (9.2% of cases), PTPN11 (2.9%), ATRX (2.5%, and an additional 7.1% had focal deletions), MYCN (1.7%, causing a recurrent p.Pro44Leu alteration) and NRAS (0.83%). Rare, potentially pathogenic germline variants were significantly enriched in ALK, CHEK2, PINK1 and BARD1. The relative paucity of recurrent somatic mutations in neuroblastoma challenges current therapeutic strategies that rely on frequently altered oncogenic drivers.


Subject(s)
Exome , Mutation , Neuroblastoma , Cell Line, Tumor , Genetic Predisposition to Disease , Genome, Human , Humans , Neuroblastoma/genetics , Neuroblastoma/physiopathology , Polymorphism, Single Nucleotide , Sequence Analysis, DNA , Transcriptome
5.
Nat Methods ; 7(11): 909-12, 2010 Nov.
Article in English | MEDLINE | ID: mdl-20935650

ABSTRACT

We describe Trans-ABySS, a de novo short-read transcriptome assembly and analysis pipeline that addresses variation in local read densities by assembling read substrings with varying stringencies and then merging the resulting contigs before analysis. Analyzing 7.4 gigabases of 50-base-pair paired-end Illumina reads from an adult mouse liver poly(A) RNA library, we identified known, new and alternative structures in expressed transcripts, and achieved high sensitivity and specificity relative to reference-based assembly methods.


Subject(s)
Computational Biology/methods , Gene Expression Profiling , Sequence Analysis, DNA/methods , Animals , Mice
6.
Genome Res ; 20(8): 1037-51, 2010 Aug.
Article in English | MEDLINE | ID: mdl-20551221

ABSTRACT

The liver and pancreas share a common origin and coexpress several transcription factors. To gain insight into the transcriptional networks regulating the function of these tissues, we globally identify binding sites for FOXA2 in adult mouse islets and liver, PDX1 in islets, and HNF4A in liver. Because most eukaryotic transcription factors bind thousands of loci, many of which are thought to be inactive, methods that can discriminate functionally active binding events are essential for the interpretation of genome-wide transcription factor binding data. To develop such a method, we also generated genome-wide H3K4me1 and H3K4me3 localization data in these tissues. By analyzing our binding and histone methylation data in combination with comprehensive gene expression data, we show that H3K4me1 enrichment profiles discriminate transcription factor occupied loci into three classes: those that are functionally active, those that are poised for activation, and those that reflect pioneer-like transcription factor activity. Furthermore, we demonstrate that the regulated presence of H3K4me1-marked nucleosomes at transcription factor occupied promoters and enhancers controls their activity, implicating both tissue-specific transcription factor binding and nucleosome remodeling complex recruitment in determining tissue-specific gene expression. Finally, we apply these approaches to generate novel insights into how FOXA2, PDX1, and HNF4A cooperate to drive islet- and liver-specific gene expression.


Subject(s)
Genetic Loci , Hepatocyte Nuclear Factor 3-beta/genetics , Hepatocyte Nuclear Factor 4/genetics , Histones/genetics , Homeodomain Proteins/genetics , Islets of Langerhans/metabolism , Liver/metabolism , Nucleosomes/genetics , Trans-Activators/genetics , Animals , Base Sequence , Binding Sites , Gene Expression Profiling , Hepatocyte Nuclear Factor 3-beta/metabolism , Hepatocyte Nuclear Factor 4/metabolism , Histones/metabolism , Homeodomain Proteins/metabolism , Mice , Molecular Sequence Data , Nucleosomes/metabolism , Regulatory Sequences, Nucleic Acid , Trans-Activators/metabolism
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