ArticleScientific reports2014
Transcriptome-wide variability in single embryonic development cells.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Noise-driven morphogenesis independent of transcriptional regulatory programs.bioRxiv : the preprint server for biology · 2025Article
- Uncovering candidate Nanog-Helper genes in early mouse embryo differentiation using differential entropy and network inference.Scientific reports · 2025Article
- Revisiting trophectoderm-inner cell mass lineage segregation in the mammalian preimplantation embryo.Human reproduction (Oxford, England) · 2024Review
- Interaction network of human early embryonic transcription factors.EMBO reports · 2024Article
- NANOG initiates epiblast fate through the coordination of pluripotency genes expression.Nature communications · 2022Article
- Totipotency of mouse zygotes extends to single blastomeres of embryos at the four-cell stage.Scientific reports · 2021Article
- GeneCloudOmics: A Data Analytic Cloud Platform for High-Throughput Gene Expression Analysis.Frontiers in bioinformatics · 2021Article
- Systems biology approaches integrated with artificial intelligence for optimized metabolic engineering.Metabolic engineering communications · 2020Review
- ScatLay: utilizing transcriptome-wide noise for identifying and visualizing differentially expressed genes.Scientific reports · 2020Article
- Specification of the First Mammalian Cell Lineages In Vivo and In Vitro.Cold Spring Harbor perspectives in biology · 2020Review
- Systems based analysis of human embryos and gene networks involved in cell lineage allocation.BMC genomics · 2019Article
- ABioTrans: A Biostatistical Tool for Transcriptomics Analysis.Frontiers in genetics · 2019Article
- A Comprehensive Roadmap of Murine Spermatogenesis Defined by Single-Cell RNA-Seq.Developmental cell · 2018Article
- Making lineage decisions with biological noise: Lessons from the early mouse embryo.Wiley interdisciplinary reviews. Developmental biology · 2018Review
- Transcriptional Regulation and Genes Involved in First Lineage Specification During Preimplantation Development.Advances in anatomy, embryology, and cell biology · 2018Article
- Article
- Assessing characteristics of RNA amplification methods for single cell RNA sequencing.BMC genomics · 2016Article
- Exploring timing activation of functional pathway based on differential co-expression analysis in preimplantation embryogenesis.Oncotarget · 2016Article
- Transition states and cell fate decisions in epigenetic landscapes.Nature reviews. Genetics · 2016Review
- De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data.Cell stem cell · 2016Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Molecular heterogeneity of individual molecules within single cells has been recently shown to be crucial for cell fate diversifications. However, on a global scale, the effect of molecular variability for embryonic developmental stages is largely underexplored. Here, to understand the origins of transcriptome-wide variability of oocytes to blastocysts in human and mouse, we examined RNA-Seq datasets. Evaluating Pearson correlation, Shannon entropy and noise patterns (η(2) vs. μ), our investigations reveal a phase transition from low to saturating levels of diversity and variability of transcriptome-wide expressions through the development stages. To probe the observed behaviour further, we utilised a stochastic transcriptional model to simulate the global gene expressions pattern for each development stage. From the model, we concur that transcriptome-wide regulation initially begins from 2-cell stage, and becomes strikingly variable from 8-cell stage due to amplification and quantal transcriptional activity.
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