TAT. Adeniyi

T. Adeniyi

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


T. Adeniyi has a total of 10 co-authors. Here are the top co-authors by number of shared publications:

  • Adam Stevens

    University of Manchester

    1 shared publication
  • B. Minogue

    Maternal and Fetal Health Research Centre, University of Manchester, Manchester Academic Health Sciences Centre, Oxford Road, Manchester, M13 9WL, UK

    1 shared publication
  • Daniel Roy Brison

    Division of Developmental Biology and Medicine, Maternal & Fetal Health Research Centre, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Sciences Centre , Manchester

    1 shared publication
  • H. L. Smith

    Maternal and Fetal Health Research Centre, University of Manchester, Manchester Academic Health Sciences Centre, Oxford Road, Manchester, M13 9WL, UK

    1 shared publication
  • H. Xiao

    Computer Laboratory, William Gates Building, University of Cambridge, Cambridge, UK

    1 shared publication
  • L. Wood

    Department of Reproductive Medicine, Saint Mary’s Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Oxford Road, Manchester, M13 9WL, UK

    1 shared publication

Latest Publications

  • Open Access

    Systems based analysis of human embryos and gene networks involved in cell lineage allocation

    by H. L. Smith, A. Stevens, B. Minogue, S. Sneddon, L. Shaw, L. Wood, T. Adeniyi, H. Xiao, P. Lio, S. J. Kimber, et al.

    Little is understood of the molecular mechanisms involved in the earliest cell fate decision in human development, leading to the establishment of the trophectoderm (TE) and inner cell mass (ICM) stem cell population. Notably, there is a lack of understanding of how transcriptional networks arise during reorganisation of the embryonic genome post-fertilisation. We identified a hierarchical structure of preimplantation gene network modules around the time of embryonic genome activation (EGA). Using network models along with eukaryotic initiation factor (EIF) and epigenetic-associated gene expression we defined two sets of blastomeres that exhibited diverging tendencies towards ICM or TE. Analysis of the developmental networks demonstrated stage specific EIF expression and revealed that histone modifications may be an important epigenetic regulatory mechanism in preimplantation human embryos. Comparison to published RNAseq data confirmed that during EGA the individual 8-cell blastomeres are transcriptionally primed for the first lineage decision in development towards ICM or TE. Using multiple systems biology approaches to compare developmental stages in the early human embryo with single cell transcript data from blastomeres, we have shown that blastomeres considered to be totipotent are not transcriptionally equivalent. Furthermore we have linked the developmental interactome to individual blastomeres and to later cell lineage. This has clinical implications for understanding the impact of fertility treatments and developmental programming of long term health.