Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Defining Cell Fate And Embryonic Genome Activation By Global Single-Cell cDNA Analysis of Blastomeres From 5-to 8-Cell Human Embryos.

ABSTRACT: To determine blastomere fate and embryonic genome activation (EGA) at 5- to 8-cell stage human embryos by global gene expression profile of amplified cDNA from blastomeres at the single cell level Forty-nine blastomeres from 5-, 6- and 8-cell human embryos were analyzed through whole genome wide analysis following an efficient cDNA amplification protocol (Kurimoto et al., 2007) with slight modifications. Single biopsied blastomeres were also compared with two amplified inner cell masses and two trophectoderms from blastocysts.

ORGANISM(S): Homo sapiens

SUBMITTER: Amparo Galan

PROVIDER: E-GEOD-22032 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Methods for haplotyping and DNA copy number typing of single cells are paramount for studying genomic heterogeneity and enabling genetic diagnosis. Before analyzing the DNA of a single cell by microarray or next-generation sequencing, a whole-genome amplification (WGA) process is required that substantially distorts the frequency and composition of the cell’s alleles. As a consequence, haplotyping methods suffer from error-prone discrete SNP-genotypes (AA, AB, BB), and DNA copy number profiling remains difficult as true DNA copy number aberrations have to be discriminated from WGA-artifacts. Here, we developed a single-cell genome analysis method that reconstructs genome-wide haplotype architectures as well as the copy-number and segregational origin of those haplotypes by deciphering WGA-distorted SNP B-allele fractions, using a process we coin haplarithmisis. We demonstrate clinical precision of the method on single cells biopsied from human embryos to diagnose disease alleles genome wide, we advance and facilitate the detection of numerical and structural chromosomal anomalies in single cells, and can distinguish meiotic from mitotic segregation errors in a single assay. Here we provide two sample sets, including (1) a reference family delivering samples applied for the development and optimization of single-cell genotyping, QC-metrics, haplarithmisis and the siCHILD algorithm. Specifically, the reference family delivers genomic DNA samples isolated from peripheral blood of two siblings 'S1' and 'S2', the mother and father of these siblings, as well as of the maternal grandmother and grandfather. Of individuals ‘S1’ and ‘S2’, six EBV-transformed lymphoblastoid single cells were also isolated, of which three were whole-genome amplified using MDA and three using PicoPlex. These multi-cell genomic DNA samples and single-cell WGA-products were hybridized to Illumina HumanCytoSNP12-v2.1 SNP-arrays following: (i) the protocol as recommended by the company and/or (ii) a modified rapid protocol as described below. Subsequently, the SNP-probe signals were interpreted by two different genotyping algorithms (GenCall and GenoSNP). Based on overall performance, we decided to use GenCall for interpreting Illumina SNP-probe signals of single-cell and multi-cell DNA samples. (2) A set of 12 families undergoing genetic diagnosis (for Mendelian disorders or translocation chromosomes) of preimplantation embryos following in vitro fertilization. In general, each family delivers genomic DNA samples isolated from peripheral blood of the two parents as well as a sibling and/or other close relatives; the specific kinships for each family are given in the 'description' column. In addition, of each family single blastomeres biopsied from preimplantation embryos obtained via in vitro fertilization of the parental gametes are also provided. All single-cell genomes were amplified by MDA. All the samples were hybridized to Illumina HumanCytoSNP12-v2.1 SNP-arrays following the rapid protocol. This data was used for clinical validation of the siCHILD algorithm.

Project description:Mammalian genomes are subjected to epigenetic modifications, including cytosine methylation by DNA methyltransferases (Dnmt) and further oxidation by Ten-eleven-translocation (Tet) family of dioxygenases. Cytosine methylation plays key roles in multiple processes such as genomic imprinting and X-chromosome inactivation. However, the functional significance of cytosine methylation and the further oxidation has remained undetermined in mouse embryogenesis. Here we show that global inactivation of all three Tet genes in mice led to consistent defects in gastrulation. The defects include reduced specification of the axial mesoderm and paraxial mesoderm, mimicking phenotypes in embryos with gain-of-function Nodal signaling, a cardinal cue for gastrulation. Introduction of a single mutant allele of Nodal in the Tet mutant background partially restored patterning, suggesting that hyperactive Nodal signaling is a leading cause for the gastrulation failure of Tet mutants. Increased Nodal signaling is likely due to diminished expression of the Lefty1 and Lefty2 genes, inhibitors of Nodal signaling. Moreover, reduction in the Lefty gene expression can be ascribed to elevated DNA methylation as both Lefty-Nodal signaling and normal morphogenesis are largely restored in Tet-deficient embryos when the Dnmt3a and Dnmt3b genes are disrupted. Additionally, specific inactivation of Tet by point mutations abolishing the dioxygenase activity causes similar molecular and gastrulation abnormalities. Taken together, our results show that Tet-mediated DNA oxidation modulates the Lefty-Nodal signaling by promoting demethylation of the shared target genes with Dnmt3a and Dnmt3b. These findings reveal a fundamental epigenetic mechanism featuring dynamic DNA methylation and demethylation and their role in the regulation of key signaling in body plan formation during early embryogenesis. Examine RNA expression and DNA methylation differences between Tet-null and wild type samples of mouse epiblast in E6.5.

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Defining Cell Fate And Embryonic Genome Activation By Global Single-Cell cDNA Analysis of Blastomeres From 5-to 8-Cell Human Embryos.

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