Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Single-cell RNA-seq of blastomeres from 2- to 32-cell stage mouse embryos

ABSTRACT: Transcriptomes were determined for all blastomeres of 28 embryos at the 2- (n=8), 4- (n=16) and 8-cell (n=4) stages, and for individual cells taken from 16- (n=6) and 32- (n=6) cell stage embryos. We also carefully monitored the 2- to 4-cell divisions noting whether the cleavage plane was meridional (M, along the Animal-Vegetal (AV) axis marked by the second attached polar body) or equatorial (E, bisecting the AV axis) and the order in which such divisions occurred. This resulted in four groups of 4-cell stage embryos: ME, EM, MM and EE, which were all collected 10 hours after the first 2- to 4-cell division.

INSTRUMENT(S): Illumina HiSeq 2500

ORGANISM(S): Mus musculus

SUBMITTER: Antonio Scialdone

PROVIDER: E-MTAB-3321 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Heterogeneity in Oct4 and Sox2 Targets Biases Cell Fate in 4-Cell Mouse Embryos.

Goolam Mubeen M Scialdone Antonio A Graham Sarah J L SJL Macaulay Iain C IC Jedrusik Agnieszka A Hupalowska Anna A Voet Thierry T Marioni John C JC Zernicka-Goetz Magdalena M

Cell 20160301 1

The major and essential objective of pre-implantation development is to establish embryonic and extra-embryonic cell fates. To address when and how this fundamental process is initiated in mammals, we characterize transcriptomes of all individual cells throughout mouse pre-implantation development. This identifies targets of master pluripotency regulators Oct4 and Sox2 as being highly heterogeneously expressed between blastomeres of the 4-cell embryo, with Sox21 showing one of the most heterogen ...[more]

PMID: 27015307

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Project description:The germ layer concept has been one of the foremost organizing principles in developmental biology, classification, systematics and evolution for 150 years. Of the three germ layers, the mesoderm is found in bilaterian animals but is absent in species in the phyla Cnidaria and Ctenophora, which has been taken as evidence that the mesoderm was the final germ layer to evolve. The origin of the ectoderm and endoderm layers, however, remains unclear with models supporting the antecedence of each as well as a simultaneous origin. We hypothesized that global analysis of gene expression in each layer throughout development may resolve the early events of animal evolution. Here, we determine the temporal and spatial components of gene expression spanning embryonic development for all C. elegans genes and use it to determine the evolutionary age of the germ layers. The gene expression programs of the mesoderm is generally induced after the ectoderm and endoderm germ layers, thus making it the last germ layer to both evolve and develop. Strikingly, the C. elegans endoderm and ectoderm expression programs do not co-induce; rather the endoderm activates earlier. We also observed early expression of endoderm orthologs during the embryology of Xenopus tropicalis, Nematostella vectensis, and the sponge Amphimedon queenslandica. Querying for the phylogenetic ages of specifically expressed genes revealed that the endoderm is comprised of older genes, supporting its antecedence among the germ layers. Taken together, we propose that the endoderm program has retained the feeding functions of the last common ancestor with the choanoflagellates, thus allowing for the specialization of an ectoderm germ layer. Our work reveals that the evolutionary appearance of the germ layers continues to constrain regulatory networks in metazoans. Two temporal assays of C. elegans embryonic development, starting at the zygote: (a) Embryos collected at fixed (~10 minute) time intervals. (b) Embryo segregates, up to five lines of blastomeres, isolated in reference to mitotic events. There were 184 samples in total, representing 100 distnict data points.

Project description:Feature Extraction 5.1.1 software (Agilent Technologies) performs background subtractions and dye normalization. This normalization method is targeted at detecting changes in relative expression of individual genes rather than global expression. Global expression change would require external normalization controls (van de Peppel et al., 2003). Text output was processed using an application developed in-house to perform ANOVA analysis (http://lgsun.grc.nia.nih.gov/ANOVA/). Intensity of features measured with a >50% error were replaced with missing values except features with very low intensity. Surrogate values equal to mean error were inserted for values that were negative or less than the probe error. Data were analyzed using ANOVA with embryonic stage as a factor. The small number of biological replications typical in expression profiling experiments results in a highly variable error variance, and this problem is usually addressed by log-ratio thresholds (Schena et al., 1995) that require subjective decisions about biological significance, or by Bayesian adjustment of error variance (Baldi and Long, 2001), which may still underestimate error variance and result in false positive results. To reduce false-positives, we opted for a very conservative error model in which error variance that is used for estimating F-statistics is the maximum of the actual error variance for this gene and the average error variance in 500 genes with similar average intensity. Statistical significance was determined using the False Discovery Rate (FDR = 10%) method (Benjamini and Hochberg, 1995). Pair-wise mean comparison was done with t-statistics and FDR=10%. Further data processing including scatter plots, hierarchical clustering, and principal component analysis (PCA) were also performed through NIA microarray analysis tool (http://lgsun.grc.nia.nih.gov/ANOVA/). Details are described in the publication (Hamatani T. et al., Developmental Cell. Published online Dec. 18, 2003).

Project description:Transcriptional targets of neurogenin (Ngnr1) were identified by over-expression of an inducible form of neurogenin in Xenopus ectodermal explants. The effects of co-expressing the nucleoprotein geminin on Ngnr1-dependent target gene transactivation were defined. Regulating the transition from lineage-restricted progenitors to terminally differentiated cells is a central aspect of nervous system development. Here, we investigated the role of the nucleoprotein geminin in regulating neurogenesis at a mechanistic level during both Xenopus primary neurogenesis and mammalian neuronal differentiation in vitro. The latter work utilized both neural cells derived from embryonic stem and embryonal carcinoma cells in vitro and neural stem cells from mouse forebrain. In all of these contexts, geminin antagonized the ability of neural bHLH transcription factors to activate transcriptional programs promoting neurogenesis. Furthermore, geminin promoted a bivalent chromatin state, characterized by the presence of both activating and repressive histone modifications, at genes encoding transcription factors that promote neurogenesis. This epigenetic state restrains the expression of genes that regulate commitment of undifferentiated stem and neuronal precursor cells to neuronal lineages. Geminin is highly expressed in undifferentiated neuronal precursor cells but is downregulated prior to differentiation. Therefore, these data support a model whereby geminin promotes the neuronal precursor cell state by modulating both the epigenetic status and expression of genes encoding neurogenesis-promoting factors. Additional developmental signals acting in these cells can then control their transition toward terminal neuronal or glial differentiation during mammalian neurogenesis. A dexamethasone-inducible (GR ligand binding domain fused) form of Xenopus neurogenin-related 1, NgnrGR, was over-expressed in Xenopus embryonic ectodermal explants, in the presence or absence of over-expressed geminin. Induction of Ngnr1 activity was used to define direct targets as previously described (EMBO J. 26(24): 5093-5108). The ability of geminin to suppress Ngnr1-dependent transactivation of its target gene programs was determined.

Dataset Information

Single-cell RNA-seq of blastomeres from 2- to 32-cell stage mouse embryos

Publications

Heterogeneity in Oct4 and Sox2 Targets Biases Cell Fate in 4-Cell Mouse Embryos.

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