📣 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.

Heterogeneity and cellular population dynamics in the placenta

Lead Research Organisation: University of Cambridge
Department Name: Obstetrics and Gynaecology

Abstract

Context
Placenta-related complications of pregnancy are a major challenge for women's health. Stillbirth is a major cause of perinatal death, causing more than 3,000 deaths each year in the UK and ~2.6million worldwide. Fetal growth restriction results in short term morbidity, poor educational outcomes and predisposes to diabetes and cardiovascular disease in later life. Mechanistic understanding and effective therapies for these complications are lacking. The work proposed here will provide a detailed atlas of all the different cell types in the placenta -currently we don't know how many different cell types and sub-types there are. We will also determine which RNAs are present in each of these cells and this is directly relevant to cell function. Knowledge of how the different cell types arise is key to understanding normal placental development. Methods for the analysis of the mRNA within single cells have recently been developed. However, as the barrier between maternal blood and fetal tissue is a multi-nucleated syncytium current single "cell" RNA-sequencing methods are inappropriate and new approaches are needed. This proposal describes such new methods and their application to the placenta.

Aims
The overarching aim of this work is to use single cell RNA sequencing to characterise placental cellular heterogeneity in mouse and man and to define regulatory steps in trophoblast differentiation. To address this aim we will answer the following 3 specific questions:

1) How many cell types are there in the placenta and what are their distinguishing features? This will necessitate the development of new methods, specifically to allow the analysis of individual nuclei and the analysis of non-coding RNA in many thousands of single nuclei.

2) How does the placental cell population change over time? We will evaluate the different cell populations by single nucleus sequencing from tissue collected from 5 human placentas in the first trimester and also at term. We will compare these with data from samples of mouse placenta collected at 5 different times in pregnancy.

3) What are the mechanisms that regulate this heterogeneity?
Murine trophoblast stems cells can be grown under conditions that induce differentiation. We will sequence single cells from multiple time points during differentiation. Sampling a population of differentiating cells at the single cell level allows identification of the intermediate populations during differentiation. We will identify regulatory factors at the branch points in this process and test whether over expression or knocking out these genes alters the differentiation.

Potential applications and benefits
Preventing even a small proportion of still births and other complications of pregnancy would be a significant benefit. Good obstetric care means that many pregnancies complicated by poor placental development end in live births. However, babies whose intrauterine life was compromised are at risk for long-term chronic diseases, such as cardiovascular disease and diabetes. Better understanding of placental growth and function has the potential to improve pregnancy outcome and this will have both short and long term health and economic benefits. These are distant benefits but more immediate gains will be in the fields of placental, developmental, gene regulatory biology. The methods proposed are innovative and require cross-disciplinary work (microfluidics, chemistry, molecular biology and bioinformatics) and so will benefit all these disciplines.

The work proposed here is to be carried out with a collaborative industrial partner - Sphere Fluidics Limited. Close collaboration between the University, the Babraham Institute and Sphere Fluidics will further enhance interactions among biotech/pharma and academia around Cambridge. This will be a benefit to these three parties and may attract R&D investment and increase economic activity to the benefit of the UK economy.

Technical Summary

Placenta-related complications of pregnancy are a major challenge for women's health. Stillbirth is a major cause of perinatal death, causing more than 3,000 deaths each year in the UK and ~2.6million worldwide.
The overarching aim of this work is to use single cell RNA sequencing to characterise placental cellular heterogeneity in mouse and man and to define regulatory steps in trophoblast differentiation. Specifically:

1) How many cell types are there in the placenta and what are their distinguishing features?
Single cell RNA-Seq has the potential to characterise cellular diversity and provide information on the functional repertoire of individual cells. However, the barrier between maternal blood and fetal tissue is a multi-nucleated syncytium. We will improve our existing Drop-Seq methods for the analysis of nuclei. Expertise in microfluidics is provided by the Abell laboratory and Sphere Fluidics Ltd. We will develop methods for sequencing noncoding RNA from cells and nuclei. Key to this is trapping a nucleus in a gel-droplet and capturing liberated RNA on the hydrogel matrix. The gel-droplets will be collected and processed in an aqueous environment. This innovative approach allows buffer exchange and enzymatic steps to be performed under optimum conditions.

2) How does the placental cell population change over time?
We will sequence the total RNA from ~15,000 single nuclei from 5 placentas collected in the first trimester and at term. We will compare these with similar data from mouse pregnancy (sampled at E7.5, E8.5, E9.5, E14.5 & E17.5).

3) What are the mechanisms that regulate this heterogeneity?
We will use mouse TSCs to model trophoblast differentiation. We will use the concept of pseudo-time to unravel individual steps and identify intermediate populations during differentiation into the specific cell types. Regulatory factors (not just transcription factors) will be manipulated by over-expression or CRISPR/Cas9 knock out in murine TSCs.

Planned Impact

Who will benefit from this research?

In the long term this work will contribute to an improvement in global human health and wellbeing through a reduction in complications of pregnancy. In the UK there were more than 3,000 stillbirths in 2015, while worldwide 14 million infants are born growth restricted and 50,000 women die from pre-eclampsia. Preventing even a small proportion of these complications would therefore have major health, societal and economic benefits. Good obstetric care means that many pregnancies complicated by poor placental development end in live births. However, babies whose intrauterine life was compromised are at risk for long-term chronic diseases, such as cardiovascular disease and diabetes. Hence the economic and societal impact of poor placental development is considerable.

How might they benefit from this research?

Scientists and clinicians investigating the mechanism underlying placental growth and function will benefit directly through new knowledge arising from this research. The University of Cambridge has a very high density of researchers working on the placenta and is home to the philanthropically endowed Centre for Trophoblast research (CTR, http://www.trophoblast.cam.ac.uk). This award would extend this emerging technology within the centre (and more widely). This would enhance research capacity. Furthermore, we believe we will be the first group in the world seeking to perform placental single cell sequencing on this scale. Therefore, the resulting data will be unique and will enhance the UK's scientific reputation for high quality research.

This application is for an Industrial Partnership Award (IPA) and the work is to be carried out with a collaborative partner - Sphere Fluidics Limited. We anticipate this work may generate new IP (new methods, systems of analysis and possibly identification of cellular control mechanisms) that could be exploited leading to new wealth and job creation. As this is an application for an IPA, Sphere Fluidics would be an excellent partner for this. Potentially they and other biotech and pharma companies may benefit. Close collaboration between the University, the Babraham Institute and Sphere Fluidics will further enhance interactions among biotech/pharma and academia around Cambridge. This should attract R&D investment and increase economic activity. It is relevant that two of the investigators (DSC-J and CA) have previously founded successful biotech companies and filed and licenced multiple patents.

More generally the work will enhance the knowledge of economy and promote the health of a variety of scientific disciplines. The work is innovative, cross disciplinary and at the forefront of biomedical science, so will enhance the UKs scientific reputation.

Publications

10 25 50
 
Description We have identified defects in T cell development (a type of immune cells) in mice at the time of birth and that these persist into young adulthood. In addition method development is on going.

We have part-analysed mouse trophoblast stem cells as they differentiate.
Exploitation Route Too early to say
Sectors Healthcare

 
Description We collaborate with a biotech company (Sphere Fluidics). We meet regularly with several of their researchers. These relationships are growing and a member of the University team is now working in Sphere's laboratories. We continue to work on this project and we have a joint publication.
First Year Of Impact 2020
Sector Healthcare
Impact Types Economic

 
Description BBSRC Flexible Talent Mobility Account
Amount £12,816 (GBP)
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 02/2023 
End 03/2023
 
Title Drop-Seq 
Description Established Drop-Seq in the lab 
Type Of Material Technology assay or reagent 
Year Produced 2016 
Provided To Others? Yes  
Impact The method was published by others but we have established it here. We are refining this method and will publish the improved method. 
 
Title Single cell RNA sequencing identifies CXADR as a fate determinant of the placental exchange surface 
Description Tissue formation depends on adequate progenitor cell pool expansion followed by appropriate lineage specification events. Failures in these steps lead to anatomical defects that can have detrimental consequences, in particular when they occur during in utero development. Here, we subjected mouse trophoblast stem cells (TSCs) to targeted differentiation protocols to recapitulate the earliest steps in placenta formation, and followed the early lineage differentiation events by single cell sequencing approaches. 1. In vitro differentiation of mouse TSCs was induced by inhibition of MEK with PD0325901 (2µM Final) (Inhibit dataset) or withdrawal of the stemness-maintaining components FGF4 and embryonic fibroblast conditioned medium (Remove dataset). Samples were collected at t0 (stem cell state, n=2), 1h (n=4 Inhibit and Remove), 4h (n=4 Inhibit and n=3 Remove), 24h (n=4 Inhibit and n=2 Remove), 36h (n=4 Inhibit and Remove) and 48h (n=4 Inhibit and Remove). Cells were dissociated and single cell barcoded transcriptome libraries were generated using Drop-Seq. Libraries were sequenced across multiple lanes of Illumina Nextseq, HiSeq2500 and HiSeq4000 flow cells in 6 batches. We have added Seurat objects of the Inhibit, Remove, t0 and t24 datasets, Monocle gene module results for the Inhibit and Remove datasets and SCENIC regulon results for the Inhibit and Remove dataset. 2. For the scRNAseq dataset including CXADR KO and WT mTSCs the experiment was repeated and samples at 0h and 24h were collected with 3 independed clones per condition. The cells were processed with the Parse Evercode WT v3 kit according to the manufacturer's instructions and libraries were sequenced on 2 lanes of NovaSeq X 25B flowcell. Sequencing data was analysed on the Trailmaker platfrom (Parse Biosciences, 2024) on 28/08/2024. Cell proportion analysis was performed using propeller from the package speckle. We have added Seurat objects for the Inhibit and Remove condition, data filtering and analysis settings from the Trailmaker platform, DEG tables for clusters at res. 0.7, input tables for the propeller analysis. We have also added a sample loading table needed to re-run the Parse pipeline. 3. We also include a table of source data for all bar charts/graphs in the manuscript. 
Type Of Material Database/Collection of data 
Year Produced 2025 
Provided To Others? Yes  
Impact New data, post-doc training and international collaboration 
URL https://springernature.figshare.com/articles/dataset/Single_cell_RNA_sequencing_identifies_CXADR_as_...
 
Title Single cell sequencing (T cells) 
Description single cell RNA seq data from the developing thymus 
Type Of Material Database/Collection of data 
Year Produced 2018 
Provided To Others? Yes  
Impact Only just published so no obvious impact yet 
URL https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-6945
 
Title mouse trophoblast stem cell scRNAseq data 
Description single cell RNAseq data for differentiating mouse trophoblast stem cells 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? No  
Impact None known as yet 
URL https://www.ebi.ac.uk/ena/browser/view/PRJEB68188
 
Title singe cell RNAseq analysis code 
Description this sis the code used for the analysis of single cell RNAseq of Cxadr knock-out and wild type trophoblast stem cells 
Type Of Material Computer model/algorithm 
Year Produced 2025 
Provided To Others? Yes  
Impact new data, post doc training and international collaboration 
URL https://doi.org/10.5281/zenodo.10159534
 
Description Myriam Hemberger 
Organisation University of Calgary
Country Canada 
Sector Academic/University 
PI Contribution Sequencing methods and technology development
Collaborator Contribution Expertise in trophoblast stem cell biology
Impact Single cell RNA sequencing data sets - Manuscript in preparation. Analysis of trophoblast stem cell differentiation - manuscript in preparation.
Start Year 2015
 
Description Sequencing Core 
Organisation Cancer Research UK Cambridge Institute
Country United Kingdom 
Sector Academic/University 
PI Contribution Unique biological samples for sequence analysis
Collaborator Contribution Next generation sequencing
Impact Lots of new sequencing data, still being analysed
Start Year 2013
 
Description Sphere Fluidics 
Organisation Sphere Fluidics Limited
Country United Kingdom 
Sector Private 
PI Contribution We are expertise, intellectual input, access to data and facilities
Collaborator Contribution Sphere have expertise, are providing access to facilities and training a University staff member
Impact The collaboration is multidisciplinary - Sphere are expert in microfluidics and we are expert in molecular biology.
Start Year 2018
 
Description Cambridge Science Festival 
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 Public/other audiences
Results and Impact Event was cancelled due to covid19
Year(s) Of Engagement Activity 2020
 
Description POPS away day 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Professional Practitioners
Results and Impact Event to pass on information about placental biology to staff involved in the POPS study (Midwifes, sonographers, research nurses).
Year(s) Of Engagement Activity 2020
 
Description RAND meeting 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Policymakers/politicians
Results and Impact Attended expert group convened by the RAND organisation
Year(s) Of Engagement Activity 2019
URL https://www.rand.org/pubs/research_reports/RR4340.html
 
Description School Visit, Hills Road Sixth Form College 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Schools
Results and Impact Gave talk to a group of 6th form students
Year(s) Of Engagement Activity 2022
 
Description School visit (Hills Rd sixth form college 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Schools
Results and Impact Gave talk to a group of 6th form students
Year(s) Of Engagement Activity 2024
 
Description Women's Health Under the Microscope 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact Series of 17 short videos - either interviews with research staff (at a range of levels) or lab activities. Each one edited and to be uploaded to a range of social media platforms. Videos filmed in Feb 2022
Year(s) Of Engagement Activity 2022