📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Towards an in vitro model of human hypoblast

Lead Research Organisation: University of Edinburgh
Department Name: MRC Human Genetics Unit

Abstract

It is widely known that the vast majority of pregnancies initiated following assisted conception programmes fail very early, at around the time of implantation. Although many of these failures can be attributed to incompatibility with the mother's uterus, around one third are caused by defects in the developing embryo. At the time of implantation, the embryo must consist of three tissues: the trophectoderm that will make the first connection with the uterus and give rise to the placenta; the hypoblast that is essential for specifying the anterior and posterior of the foetus and forming the yolk sac; and the epiblast that produces all the tissues of the foetus. In order for normal development to ensue, each early embryonic lineage must be appropriately and proportionately represented. Based on our observations, we hypothesise that failure to specify enough cells of either epiblast or hypoblast, or both, is likely to be a major problem for generating a viable pregnancy. However, the process by which appropriate allocation of these lineages is regulated is poorly understood. It is difficult to attain statistical power to answer questions about this process from embryos. Similarly, it is not possible to correlate apportionment of the lineages with eventual successful uterine implantation. Therefore, in order to understand how early embryonic lineages are allocated, it is essential to have model artificial embryos constructed from cell lines representing the early embryonic lineages. There are validated cell lines representing the epiblast and trophoblast, but not the hypoblast. We have used specially formulated supportive gels and a culture regime that can capture hypoblast cells from mouse embryos and keep them in an early embryonic state as they expand into cell lines. In this study, we will optimise the mechanical and chemical conditions specifically to generate self-renewing hypoblast cell lines from human embryos. Armed with cell lines representing all three embryonic lineages, we will use purpose-built 3D hydrogels to construct artificial embryos. With our model artificial embryos, in combination with the new endometrial organoids developed by our collaborator Margherita Turco, we can quantifiably test predictions concerning, for example, the number of cells of each lineage needed to initiate normal development, including implantation. Our study will provide valuable information on the requirements for specific factors for expanding the human hypoblast population that may enable improvement of culture regimes for assisted conception programmes.

Technical Summary

In order to achieve successful embryonic implantation and pregnancy, the three early embryonic lineages - trophoblast, epiblast and hypoblast - must be allocated at the right location and in the right numbers. How this allocation is regulated, and how that relates to successful implantation, is poorly understood. The primary reason for this is that the regulation of early embryonic lineages is difficult to study in embryos, partly because of the practical difficulties of obtaining sufficient numbers for optimising multiple signalling conditions, and also because investigators must be able to carry the experiment through implantation to measure the outcome. Thus, in order to investigate the relationship between early lineage specification and implantation, it would be very useful to develop artificial embryos. Achieving this goal, however, is complicated by the fact that efforts to derive a cell line properly representing the nascent hypoblast have been mostly unsuccessful. In the proposed research, we will use our expertise in developmental biology and stem cell biophysics to optimise the biochemical and mechanical conditions to derive nascent hypoblast cell lines. We will first do this in mouse to learn what sorts of chemical and mechanical signalling requirements are necessary to harness a nascent hypoblast, then modify those conditions accordingly for nascent human hypoblast. We will then use these lines, combined with cell lines established by us and our collaborators representing nascent epiblast and trophoblast, to optimise the chemical and mechanical conditions to construct artificial embryos. We will then examine these artificial embryos and their interactions with endometrial organoids developed by our collaborator Margherita Turco to predict how early lineage allocation regulates implantation. With the proposed research, we ultimately hope to identify the prerequisites for successful implantation or failure.

Planned Impact

Apart from academic beneficiaries, this work will be of interest and benefit to the general public because of the increasing use of assisted conception programmes for generating family units. There is still poor understanding of the problems occurring during the very early stages of pregnancy at around implantation. Our project will address this question at several levels. Firstly, the embryo culture experiments, with and without supplementary signalling molecules, followed by analysis of the number of cells per lineage will provide valuable information about the variability of proportions of the essential primary lineages between embryos. Although all patient information is anonymised, we can identify embryos from the same donors. Thus, we will be able to determine whether lineage-regulating phenotypes run in families. Secondly, the potential to generate artificial human embryos using derivative stem cell lines will allow formation of structures in which each lineage can be differentially labelled, providing an educational opportunity to capture the interest of the younger audience as well as determining the threshold cell numbers for successful implantation. Thirdly, there will be wide general interest in the potential to view the process of embryo implantation outside the body, especially if the composite lineages are differentially labelled. We will capture the process using timelapse microscopy and make the movies publicly available.
The fruits of our finding regarding the proportions of tissue, specifically hypoblast, needed for successful implantation may lead to suggestions for improvement of the currently used culture regimes during embryo expansion prior to transfer in IVF clinics, which would lead to a higher pregnancy success rate. The people benefitting from this knowledge will be the companies who provide the culture medium, the patients taking advantage of the treatment and clinicians, nurses and embryologists employed in assisted conception units.

Publications

10 25 50

Related Projects

Project Reference Relationship Related To Start End Award Value
BB/T007044/1 01/03/2020 30/08/2021 £556,289
BB/T007044/2 Transfer BB/T007044/1 01/12/2021 30/07/2023 £274,211
 
Description We were able to derive stem cell lines from early mouse embryos that retain the potential to produce both epiblast-like cells (the source of the foetus) and hypoblast-like cells (source of the yolk sac). This was achieved using bespoke gels as a substrate, which provide a cushioned surface for the cells to attach and can be customised with specific proteins that the cells would be in contact with if retained in the embryo. We are currently preparing these results for publication.
Exploitation Route Our intention had been to provide hypoblast cell lines that would enable production of 'blastoids' to study early human development. Blastoids are stem cell-derived models of the blastocyst stage, which were first generated using mouse-derived stem cells. The mouse blastoids are unsatisfactory because the hypoblast lineage could not be incorporated. As outlined above, human stem cell lines are more flexible, so human blastoids turned out to be quite trivial to generate. We have published a paper showing this. In future, human blastoids will be used to model human implantation, which is currently not very efficient following IVF treatment.
Sectors Education

Healthcare

Pharmaceuticals and Medical Biotechnology

 
Description Appointed to the UK Stem Cell Bank Committee
Geographic Reach National 
Policy Influence Type Participation in a guidance/advisory committee
 
Description Japan Society for the Promotion of Science (JSPS) Overseas Research Fellowship
Amount £90,000 (GBP)
Organisation The Ministry of Education, Culture, Sports, Science and Technology 
Sector Public
Country Japan
Start 03/2018 
End 03/2020
 
Title Entropy sorting of single cell RNA sequencing data reveals the inner cell mass in the human pre-implantation embryo 
Description This repository stores the data and code used to generate the human pre-implantation embryo results in our publication titled, "Entropy sorting of single cell RNA sequencing data reveals the inner cell mass in the human pre-implantation embryo". In this work we present a mathematical framework that we term Entropy Sorting, that allows us to confidently isolate the previously elusive inner cell mass population in single cell RNA sequencing data (scRNA-seq). The data is subset into four sub folders whose recommended order of usage is as follows: 1. Pre_Implantation_Embryo_Analysis_Code - Contains the code used to generate all the results in our publication. See the README.txt file within this folder for a summary of each workflow provided. 2. Mesitermann_Data - Contains an exact copy of the human pre-implantation embryo scRNA-seq data used in the Mesitermann et al. 2021 publication, which the authors kindly provided to us directly. This dataset was complied from 4 separate scRNA-seq datasets by Mesitermann et al. 2021. See their paper, cited in our publication, for a description of how they complied the 4 datasets. This folder also contains key outputs from the software we present in our work (FFAVES and ESFW), which allows others to re-create the results presented in our publication. 3. Yanagida_Data - An independent human pre-implantation embryo dataset from the Yanagida et al. 2021 paper (GEO ID = GSE171820), which was kindly provided to us by author, alongside a tSNE embedding used in their paper. 4. Nakamura_Data - An independent Macaca embryo dataset from the Nakamura et al. 2016 paper (GEO ID = GSE74767). We would like to highlight that we have provided exact copies of the pre-implantation human embryo used in the paper to make our work as accessible as possible. However, we recommend that researchers who wish to use the datasets we used in their own work start from the source data (e.g. the Gene Expression Omnibus repositories) to maintain their integrity. Details of each dataset used for this work are provided in the experimental procedures section of our manuscript. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL https://data.mendeley.com/datasets/689pm8s7jc/1
 
Title Entropy sorting of single cell RNA sequencing data reveals the inner cell mass in the human pre-implantation embryo 
Description This repository stores the data and code used to generate the human pre-implantation embryo results in our publication titled, "Entropy sorting of single cell RNA sequencing data reveals the inner cell mass in the human pre-implantation embryo". In this work we present a mathematical framework that we term Entropy Sorting, that allows us to confidently isolate the previously elusive inner cell mass population in single cell RNA sequencing data (scRNA-seq). The data is subset into four sub folders whose recommended order of usage is as follows: 1. Pre_Implantation_Embryo_Analysis_Code - Contains the code used to generate all the results in our publication. See the README.txt file within this folder for a summary of each workflow provided. 2. Mesitermann_Data - Contains an exact copy of the human pre-implantation embryo scRNA-seq data used in the Mesitermann et al. 2021 publication, which the authors kindly provided to us directly. This dataset was complied from 4 separate scRNA-seq datasets by Mesitermann et al. 2021. See their paper, cited in our publication, for a description of how they complied the 4 datasets. This folder also contains key outputs from the software we present in our work (FFAVES and ESFW), which allows others to re-create the results presented in our publication. 3. Yanagida_Data - An independent human pre-implantation embryo dataset from the Yanagida et al. 2021 paper (GEO ID = GSE171820), which was kindly provided to us by author, alongside a tSNE embedding used in their paper. 4. Nakamura_Data - An independent Macaca embryo dataset from the Nakamura et al. 2016 paper (GEO ID = GSE74767). We would like to highlight that we have provided exact copies of the pre-implantation human embryo used in the paper to make our work as accessible as possible. However, we recommend that researchers who wish to use the datasets we used in their own work start from the source data (e.g. the Gene Expression Omnibus repositories) to maintain their integrity. Details of each dataset used for this work are provided in the experimental procedures section of our manuscript. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL https://data.mendeley.com/datasets/689pm8s7jc
 
Description Hosting local high school pupils 
Form Of Engagement Activity Participation in an open day or visit at my research institution
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Schools
Results and Impact We set up simple hands on and observational lab activities to provide experience of observing and passaging stem cells; observing mouse embryos at various stages under the dissecting microscope and images of fluorescently stained cells and embryos. There was active discussion; in particular, we instructed the participants in the sources of the early lineage in mammalian embryos and strategies employed to try to capture them.
Year(s) Of Engagement Activity 2023
 
Description Interview for 'SeunInScience' web series 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Postgraduate students
Results and Impact The aim was to make a YouTube interview mainly discussing career paths in science and how to deal with challenges, known as 'Ask a scientist'.
Year(s) Of Engagement Activity 2021
 
Description Stem Cells at Lunch, Kings College, London 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Professional Practitioners
Results and Impact This was a podcast discussion, following on from my invited seminar, hosted by post docs and made available on line to interested parties.
Year(s) Of Engagement Activity 2021
 
Description Visit from secondary school pupils from various parts of Scotland 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Schools
Results and Impact The pupils were given a presentation by lab members, then allowed to participate in a few supervised lab activities and shown cells and embryos down the microscope. Then we had a discussion and they were able to ask questions about our research and relevant science more broadly.
Year(s) Of Engagement Activity 2023,2024