Transcriptome-wide variability in single embryonic development cells

Vincent Piras, Masaru Tomita, Kumar Selvarajoo

Research output: Contribution to journalArticlepeer-review

44 Citations (Scopus)

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 (•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.

Original languageEnglish
Article number7137
JournalScientific reports
Volume4
DOIs
Publication statusPublished - 2014

ASJC Scopus subject areas

  • General

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