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GEO Series: GSE124563
Summary
Animal embryos have the remarkable property of self-organization. Over 125 years ago Hans Driesch separated the two blastomeres of sea urchin embryos and obtained twins, in what was the foundational experiment of experimental embryology. Since then, embryonic twinning has been obtained experimentally in many animals by diverse methods. In a recent study, we developed bisection methods that generate identical twins reliably from Xenopus blastula embryos. In the present study we investigated the transcriptome of regenerating half-embryos after sagittal and dorsal-ventral (D-V) bisections. Individual embryos were operated at midblastula with an eyelash hair and cultured until early gastrula (stage 10.5) or late gastrula (Stage 12) and analyzed the transcriptome of each half-embryo by RNAseq. Because many genes are activated by wound healing, stringent analyses were used to identify genes upregulated in identical twins but not in either dorsal or ventral fragments. At early gastrula cell division-related genes such as histones were identified, whereas at late gastrula pluripotency genes (such as sox2) and germ layer determining genes (such as eomesodermin, ripply2 and activing receptor ACVRI) and a number of secretory pathway components (serpinH1, fucoleptin and sialyl transferase). These findings are consistent with a model in which cell division is required to heal damage, while maintaining pluripotency to permit formation of the organizer with a displacement of 900 from its original site. In addition, the extensive transcriptomic data presented here (30 RNA-seq libraries of individual whole or regenerating half-embryos) provides a useful resource for data mining gene expression during early vertebrate development.
Contributors: Edward De Robertis, Yuki Moriyama, Eric Sosa, Yi Ding
Experiment Type: A genome-wide study of genes that regulate regeneration of twin embryos in Xenopus laevis
Article:
XB-ART-56074,
PubMed
Source: NCBI GEO,
Xenbase Download
Samples: (DEG = Differentially Expressed Genes; GSM = GEO Sample Number)
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