| Literature DB >> 28668635 |
Lawrence E Bates1, José Cr Silva2.
Abstract
Pluripotent stem cells (PSCs) have the potential to revolutionise biomedical science; however, while it is simple to reproducibly obtain comparable, stable cell lines in mouse, those produced from human material typically show significant variability both within and between cell lines. This is likely due to differences in the cell identity of conventional mouse and human PSCs. It is hoped that recently identified conditions to reprogram human cells to a naïve-like state will produce better PSCs resulting in reproducible experimental outcomes and more consistent differentiation protocols. In this review we discuss the latest literature on the discovery of human naïve-like stem cells and examine how similar they are to both mouse naïve cells and the preimplantation human epiblast.Entities:
Mesh:
Year: 2017 PMID: 28668635 PMCID: PMC6112416 DOI: 10.1016/j.gde.2017.06.009
Source DB: PubMed Journal: Curr Opin Genet Dev ISSN: 0959-437X Impact factor: 5.578
Figure 1Expected molecular signatures of human naïve pluripotent stem cells. A large number of processes control, and are influenced by, any cell state. Some of the factors that are particularly considered in this review are: (1) the transcriptional state of the cell. Functional components such as Oct4 and Nanog and marker genes such as Rex1 have been identified from mouse naïve cells and the human preimplantation epiblast, building a fingerprint of gene expression that should be present in naïve cells. (2) A core transcription factor network. The naïve state in mouse has a self-sustaining network of transcription factors with many positive feedback loops to promote the maintenance of pluripotency. Notably, while many of these transcription factors are still expressed in primed cells, the network conformation is different, with factors binding to different enhancer elements and thus interacting in different ways. By exploring these interconnections, it is possible to test whether putative human naïve cells share the same connectivity and hence whether the network exists in a naïve configuration. (3,4) Environmental signals are key to maintaining cell states. In mouse, the naïve state can be maintained in vitro with LIF which activates downstream JAK/STAT signalling, an inhibitor of MEK/ERK signalling downstream of the FGF receptor, and an inhibitor of β-catenin degradation. The current human naïve culture conditions extend this with addition of a PKC inhibitor [4••], or BRAF, SRC and ROCK inhibitors [3••]. In addition to the response to ligands, cells interact physically with their neighbours and the extracellular matrix. Strong adherens junctions between cells provide the familiar dome-shaped morphology of naïve ESC colonies, and the ability to sense neighbours appears to be important for cell survival. (5) The epigenetic fingerprint of cells can be analysed in a similar manner to the transcriptional identity to build up a global picture of the cell state. Enhancer and promoter usage result in modification of histones and differential methylation of DNA. These profiles can be compared between cells. Additionally, the naïve state has additional epigenetic properties, such as global DNA hypomethylation and retention of imprinting marks which should be found in human naïve cells. (6) A key feature of the naïve state in female mouse cells is the presence of two active X-chromosomes. While the exact connection between naïve identity and X-chromosome status is still elusive, this is considered a hallmark of the naïve identity. While aspects of X-chromosome regulation differ between mouse and human, recent embryo work suggests that the human preimplantation epiblast shares this feature with mouse. (7) Many other elements of the cell are controlled by the cell state. One example is the switch between aerobic and anaerobic respiration. The naïve compartment of the embryo is considered to be facultatively aerobic, displaying relatively mature mitochondria, whereas other early embryonic cell states rely on anaerobic glycolysis for most of their energy requirements. While the cause of this switch is unknown, it is likely to be the result of integrating many other state-specific signals.