Epigenome patterning in oocytes and its legacies in the embryo

Lead Research Organisation: Babraham Institute
Department Name: Epigenetics

Abstract

Although we inherit 22 chromosomes from each of our parents, the egg and the sperm pass on more than the bare DNA sequence. The DNA sequence and the chromosomes themselves are modified by numerous chemical tags - call epigenetic marks - that are vital for specifying which genes should be active and which silent in any cell in our body. Where these epigenetic marks are placed on the DNA is constantly being modified as cells develop and differentiate into different tissues. It is also crucial that most epigenetic marks that were present in the egg and sperm are removed at fertilisation, so that the programme of gene expression for development of the embryo can be kick started correctly. However, some epigenetic tags can persist throughout our lifetimes, and some even remain as a permanent memory of whether a gene came from the egg or sperm. As a result of this special class of tags, some genes exhibit different activities of the copy inherited from mothers and the copy from fathers. These are referred to as "imprinted genes", because they are imprinted differently in the sperm and egg. Imprinted genes are particularly important for the normal development of the placenta and for how the fetus grows.

We are trying to understand how imprinted genes are epigenetically tagged during the development of egg cells and how these tags are remembered as the embryo develops. It seems that different types of epigenetic tags are involved - some directly on DNA, some on the chromosome structure - and some marks will end up more important in the embryo itself whereas others will be more influential in the placenta, which nonetheless can control how the baby grows and develops.

Much of the work we propose will be conducted in mouse models, where we can modify the epigenetic marks on genes, or the activity of genes, and we can access tissues - egg cells and very early embryos - in a way that we cannot do so with human samples.

Some of our work uses very sensitive techniques we have developed that can read all the epigenetic marks in individual cells. We are now using these techniques to understand if there is variation in epigenetic marks in human embryos before they implant. We believe that some differences can be traced back to the eggs from which the embryos developed, leading us to propose that some epigenetic changes could be diagnostic for problems in fertility.

Technical Summary

Transmission of epigenetic information from parent to offspring is generally precluded by multiple genome-wide reprogramming steps that occur from the specification of germ cells, during gametogenesis, in the preimplantation embryo, and with establishment of lineage-specific epigenomes from implantation. Yet the extent to which there is inter-generational transmission of epigenetic states is still unclear and of substantial interest, eg, in relation to factors such as the increase in maternal obesity and the programming of adverse metabolic outcomes in offspring, or whether epigenetic fidelity is compromised by procedures for assisted reproduction. Genomic imprinting provides the best paradigm for epigenetic inheritance, and which is fundamentally important for normal offspring growth, development and long-term health. Until recently, it appeared that there was a single modality of imprinting, determined by gamete-derived DNA methylation, but recent studies prompt us to develop a more nuanced view and to recognise additional pathways to imprinting, such as chromatin-determined imprinting.

This programme will explore transcriptional control and how transcription patterns the epigenome in the oocyte and the legacies of these events in the embryo. It will investigate how DNA methylation-dependent and chromatin-dependent modes or imprinting are set up at different times in the female germline and how they contribute in different ways to developmental processes in the embryo and extra-embryonic lineages. It will assess general principles at the genome-wide scale, but also work at the level of specific loci to test mechanistic details and functional impacts of the different modes of imprinting. It will explore variation in DNA methylation in human preimplantation embryos, how this variation can be traced back to methylation variation in oocytes and seek to eludiate the genetic basis and pathophysiological correlates of such variation.

Planned Impact

Our research aims to understand fundamental processes in oocytes (egg cells) by which epigenetic information is set up, and how epigenetic information is then passed on and modified in the embryo. Epigenetic information comprises the chemical tags on the DNA or the chromosomes that help demarcate active and inactive genes. In general, epigenetic information present in oocytes is erased in the early embryo to enable the embryonic gene expression programme to be properly executed, as well as to prevent transmission of epigenetic abnormalities between parents and offspring, which could be acquired as a result of environmental factors or diet. Despite the general reprogramming of epigenetic informaion, some needs to be transmitted from the egg and faithfully maintained for proper development of the fetus; this occurs at a class of genes called imprinted genes. Recent work has shown that there is an unexpected diversity of imprinted genes specified by different types of epigenetic information present in eggs: those controlled by chemical tags directly on the DNA (methylation); or those controlled by modifications on chromosome proteins (histones). We are only beginning to understand the extent and significance for normal development of these newly identified forms of imprinting. Moreover, it is still not fully understood the extent to which epigenetic information is destabilised by environmental factors or by processes associated with assisted reproduction technologies (ART). Therefore, it is imperative that further developments in ART methods that seek to improve fertility treatments are evaluated for epigenetic safety, because epigenetic errors in early development can have long-term impacts on offspring health and modify an individual's risk of disease in later life.

Much of our research will be done in a model organism, the mouse, in which these processes are most easy to investigate and because the processes are generally conserved with human. We shall also investigate the extent of epigenetic variation in human eggs and early embryos, where we believe that DNA methylation variation could be a robust molecular marker of gene expression anomalies in the ovary, and could influence the potential of the embryo for normal development.

Therefore, we expect to have impact in knowledge of the basic molecular mechanisms that govern how genes are controlled in the egg, and in the mechanisms that determine how epigenetic information is retained in the embryo to ensure correct imprinting. These advances will have wide-ranging impact in the academic community interested in mammalian developmental epigenetics and transgenerational inheritance. And they could have impact on our understanding of possible epigenetic contributions to chronic disease for which genetic causes remain ill-defined.

Our investigation of the extent and consequences of epigenetic variation in human eggs and embryos will have impact for clinicians working in reproductive medicine and for patients seeking fertility treatments, or undergoing fertility preservation.

We also expect major impact of our research in the technical capabilities we have and the advances we shall continue to make in methods for profiling epigenetic marks in very small numbers of cells or in single cells. Such advances are having widespread application in biomedical research, providing new levels of understanding of cell-fate decisions, and cell identity and function, both in normal development and physiology and in disease. We collaborate with several groups (both academic and biotech sectors) from research areas unrelated to our field who have an interest in applying these cutting-edge methods to their own biomedical questions. Therefore, we anticipate significant impact in training and knowledge exchange also at a technical level.

Publications

10 25 50

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Hanna Courtney W. (2021) Features and mechanisms of canonical and noncanonical genomic imprinting in GENES & DEVELOPMENT

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Olsen KW (2020) A distinctive epigenetic ageing profile in human granulosa cells. in Human reproduction (Oxford, England)

 
Title MOESM1 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 1: Figure S1. Correlation matrix showing that all the replicates were highly correlated (100-CpG window size tiles; value between 0 and 100 in all 16 samples; n = 195,170). 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/MOESM1_of_Genome-wide_assessment_of_DNA_methylation_in_...
 
Title MOESM1 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 1: Figure S1. Correlation matrix showing that all the replicates were highly correlated (100-CpG window size tiles; value between 0 and 100 in all 16 samples; n = 195,170). 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/MOESM1_of_Genome-wide_assessment_of_DNA_methylation_in_...
 
Title MOESM2 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 2: Figure S2. The box-whisker plots show the global DNA methylation average of probes informative in all 16 individual datasets at different genomic features: A) Intragenic regions (n = 20,474); B) intergenic regions (n = 18,245); C) promoters (n = 7704). In the plots the line across the middle of the box shows the median, the upper and lower extremities of the box show the 25th and 75th percentile of the set of data, and the upper and lower black whiskers show the median plus/minus the interquartile (25-75%) range multiplied by 2. Individual points which fall outside this range are shown as filled circles, and they represent single outliers tiles. D) DNA methylation levels at repetitive elements showing the mean ± SEM. 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/MOESM2_of_Genome-wide_assessment_of_DNA_methylation_in_...
 
Title MOESM2 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 2: Figure S2. The box-whisker plots show the global DNA methylation average of probes informative in all 16 individual datasets at different genomic features: A) Intragenic regions (n = 20,474); B) intergenic regions (n = 18,245); C) promoters (n = 7704). In the plots the line across the middle of the box shows the median, the upper and lower extremities of the box show the 25th and 75th percentile of the set of data, and the upper and lower black whiskers show the median plus/minus the interquartile (25-75%) range multiplied by 2. Individual points which fall outside this range are shown as filled circles, and they represent single outliers tiles. D) DNA methylation levels at repetitive elements showing the mean ± SEM. 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/MOESM2_of_Genome-wide_assessment_of_DNA_methylation_in_...
 
Title MOESM3 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 3: Figure S3. Pie-charts showing the distribution of tiles overlapping gene bodies and promoters in the total informative tiles, hypomethylated tiles and hypermethylated tiles in IFC vs. SO, SO vs. SOA and SOA vs. IV comparisons. Differences were evaluated using Chi-square test and considered significant when p 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/MOESM3_of_Genome-wide_assessment_of_DNA_methylation_in_...
 
Title MOESM3 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 3: Figure S3. Pie-charts showing the distribution of tiles overlapping gene bodies and promoters in the total informative tiles, hypomethylated tiles and hypermethylated tiles in IFC vs. SO, SO vs. SOA and SOA vs. IV comparisons. Differences were evaluated using Chi-square test and considered significant when p 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/MOESM3_of_Genome-wide_assessment_of_DNA_methylation_in_...
 
Title MOESM4 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 4: Figure S4. SeqMonk screenshots of the DNA methylation profiles of the hypomethylated loci Myo16 (A, 13 tiles with more than 20% methylation difference) and Elt4 (B, 14 tiles with more than 20% methylation difference) in IFC compared to SO. Each color-coded bar represents the methylation value of a non-overlapping 100-CpG tile. Genes and oocyte mRNA are shown in red or blue depending on their direction of transcription (forward or reverse, respectively). The track labeled mRNA represents the oocyte transcriptome annotaton from Veselovska et al. [24]. 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/MOESM4_of_Genome-wide_assessment_of_DNA_methylation_in_...
 
Title MOESM4 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 4: Figure S4. SeqMonk screenshots of the DNA methylation profiles of the hypomethylated loci Myo16 (A, 13 tiles with more than 20% methylation difference) and Elt4 (B, 14 tiles with more than 20% methylation difference) in IFC compared to SO. Each color-coded bar represents the methylation value of a non-overlapping 100-CpG tile. Genes and oocyte mRNA are shown in red or blue depending on their direction of transcription (forward or reverse, respectively). The track labeled mRNA represents the oocyte transcriptome annotaton from Veselovska et al. [24]. 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/MOESM4_of_Genome-wide_assessment_of_DNA_methylation_in_...
 
Title MOESM5 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 5: Figure S5. SeqMonk screenshots of the DNA methylation profiles of the hypermethylated loci Prdm16 (A, 7 tiles with more than 20% methylation difference) and Soga1 (B, 6 tiles with more than 20% methylation difference) in IFC compared to SO. Each color-coded bar represents the methylation value of a non-overlapping 100-CpG tile. Genes and oocyte mRNA are shown in red or blue depending on their direction of transcription (forward or reverse, respectively). The track labeled mRNA represents the oocyte transcriptome annotaton from Veselovska et al. [24]. 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/MOESM5_of_Genome-wide_assessment_of_DNA_methylation_in_...
 
Title MOESM5 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 5: Figure S5. SeqMonk screenshots of the DNA methylation profiles of the hypermethylated loci Prdm16 (A, 7 tiles with more than 20% methylation difference) and Soga1 (B, 6 tiles with more than 20% methylation difference) in IFC compared to SO. Each color-coded bar represents the methylation value of a non-overlapping 100-CpG tile. Genes and oocyte mRNA are shown in red or blue depending on their direction of transcription (forward or reverse, respectively). The track labeled mRNA represents the oocyte transcriptome annotaton from Veselovska et al. [24]. 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/MOESM5_of_Genome-wide_assessment_of_DNA_methylation_in_...
 
Title MOESM6 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 6: Figure S6. SeqMonk screenshots of the DNA methylation profiles of the hypermethylated loci Zfp521 (A, 26 tiles with more than 20% methylation difference) and Atrnl1 (B, 22 tiles with more than 20% methylation difference) in SO compared to SOA. Each color-coded bar represents the methylation value of a non-overlapping 100-CpG tile. Genes and oocyte mRNA are shown in red or blue depending on their direction of transcription (forward or reverse, respectively). The track labeled mRNA represents the oocyte transcriptome annotaton from Veselovska et al. [24]. 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/MOESM6_of_Genome-wide_assessment_of_DNA_methylation_in_...
 
Title MOESM6 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 6: Figure S6. SeqMonk screenshots of the DNA methylation profiles of the hypermethylated loci Zfp521 (A, 26 tiles with more than 20% methylation difference) and Atrnl1 (B, 22 tiles with more than 20% methylation difference) in SO compared to SOA. Each color-coded bar represents the methylation value of a non-overlapping 100-CpG tile. Genes and oocyte mRNA are shown in red or blue depending on their direction of transcription (forward or reverse, respectively). The track labeled mRNA represents the oocyte transcriptome annotaton from Veselovska et al. [24]. 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/MOESM6_of_Genome-wide_assessment_of_DNA_methylation_in_...
 
Title MOESM7 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 7: Figure S7. SeqMonk screenshots of the DNA methylation distribution at gene structure of ten important maternal effect proteins for DNA methylation establishment and maintenance. The location of the gene and the direction of transcription it is represented with the arrows. The promoter of the oocyte transcript is marked with a black star on the TSS (transcription start site) track. The data for the replicates is combined into the tracks labeled IFC, SO, SOA and IV. Each color-coded bar represents the methylation value of a non-overlapping 100-CpG tile. The track labeled mRNA represents the oocyte transcriptome annotaton from Veselovska et al. [24]. 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/MOESM7_of_Genome-wide_assessment_of_DNA_methylation_in_...
 
Title MOESM7 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 7: Figure S7. SeqMonk screenshots of the DNA methylation distribution at gene structure of ten important maternal effect proteins for DNA methylation establishment and maintenance. The location of the gene and the direction of transcription it is represented with the arrows. The promoter of the oocyte transcript is marked with a black star on the TSS (transcription start site) track. The data for the replicates is combined into the tracks labeled IFC, SO, SOA and IV. Each color-coded bar represents the methylation value of a non-overlapping 100-CpG tile. The track labeled mRNA represents the oocyte transcriptome annotaton from Veselovska et al. [24]. 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/MOESM7_of_Genome-wide_assessment_of_DNA_methylation_in_...
 
Description European Oocyte Biology Research Innovation Training Network
Amount € 3,978,647 (EUR)
Funding ID 860960 
Organisation European Commission H2020 
Sector Public
Country Belgium
Start 11/2019 
End 10/2023
 
Title DNA methylation profile in immunodeficiency 
Description Single-cell DNA methylation datasets of lymphocytes in twins discordant for common variable immunodeficiency (CVID) 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact Too early to say 
URL https://www.ebi.ac.uk/ena/browser/text-search?query=PRJEB50820
 
Title DNA methylation profiles of blastocysts after natural ovulation, superovulation or oocyte culture 
Description Whole-genome DNA methylation datasets from individual mouse blastocysts derived from oocytes from natural ovulation, superovulation of in vitro follicle culture 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
Impact Too early to say 
URL https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE205097
 
Title Epigenomic analysis of mouse post-implantation embryos 
Description Allellic DNA methylation, gene expression and histone modification datasets from embryonic tissues from mouse. Allows genome-wide identification of genes controlled by genomic imprinting, and distinction of imprinting conferred by DNA methylation or repressive chromatin in oocytes. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact Published in Hanna et al. Genome Biol 2019 PMID: 31665063 
URL http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE124216
 
Title Epigenomic analysis of oocytes lacking H3K4 methyltransferase SETD1B 
Description H3K4me3 ChIP-seq and DNA methylation (WGBS) datasets from wild-type and Setd1b conditional knock-out mouse oocytes 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact Too early to say 
URL http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE167987
 
Title Gene expression and DNA methylation variation with age in oocytes from mice 
Description Parallel, single-cell genome-wide bisulphite-sequencing and RNA-sequencing datasets from oocytes from reproductively young and old mice (C57BL6/Babr) 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
Impact Too early to say 
URL https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE154370
 
Title MOESM1 of A KHDC3L mutation resulting in recurrent hydatidiform mole causes genome-wide DNA methylation loss in oocytes and persistent imprinting defects post-fertilisation 
Description Additional file 1 : Table S1: List of gDMR coordinates; list of ZFP57 binding sites in gDMRs; .xls, 25 KB. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/MOESM1_of_A_KHDC3L_mutation_resulting_in_recurr...
 
Title MOESM1 of A KHDC3L mutation resulting in recurrent hydatidiform mole causes genome-wide DNA methylation loss in oocytes and persistent imprinting defects post-fertilisation 
Description Additional file 1 : Table S1: List of gDMR coordinates; list of ZFP57 binding sites in gDMRs; .xls, 25 KB. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/MOESM1_of_A_KHDC3L_mutation_resulting_in_recurr...
 
Title MOESM10 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 10: Table S3. Differentially hypomethylated tiles (n=829) and hypermethylated tiles (n=702) with more than 20% methylation difference in IFC compared to SO. Each tile contains information about the genome location, overlapping gene, Ensembl ID, gene description and methylation percentage in each sample. Differentially methylated CGIs between IFC and SO (n=85). 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/MOESM10_of_Genome-wide_assessment_of_DNA_methylation_in...
 
Title MOESM10 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 10: Table S3. Differentially hypomethylated tiles (n=829) and hypermethylated tiles (n=702) with more than 20% methylation difference in IFC compared to SO. Each tile contains information about the genome location, overlapping gene, Ensembl ID, gene description and methylation percentage in each sample. Differentially methylated CGIs between IFC and SO (n=85). 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/MOESM10_of_Genome-wide_assessment_of_DNA_methylation_in...
 
Title MOESM11 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 11: Table S4. Specific loci in IFC compared to SO that contained multiple differential hypo- or hypermethylated tiles (> 20% methylation difference). Enriched biological processes of hypomethylated genes in IFC compared to SO (n = 17), including the proteins involved in each GO term. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/MOESM11_of_Genome-wide_assessment_of_DNA_methylation_in...
 
Title MOESM11 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 11: Table S4. Specific loci in IFC compared to SO that contained multiple differential hypo- or hypermethylated tiles (> 20% methylation difference). Enriched biological processes of hypomethylated genes in IFC compared to SO (n = 17), including the proteins involved in each GO term. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/MOESM11_of_Genome-wide_assessment_of_DNA_methylation_in...
 
Title MOESM12 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 12: Table S5. Differentially hypomethylated tiles (n=110) and hypermethylated tiles (n=455) with more than 20% methylation difference in SOA compared to IV. Each tile contains information about the genome location, overlapping gene, Ensembl ID, gene description and methylation percentage in each sample. Differentially methylated CGIs between SOA and IV (n=60). 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/MOESM12_of_Genome-wide_assessment_of_DNA_methylation_in...
 
Title MOESM12 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 12: Table S5. Differentially hypomethylated tiles (n=110) and hypermethylated tiles (n=455) with more than 20% methylation difference in SOA compared to IV. Each tile contains information about the genome location, overlapping gene, Ensembl ID, gene description and methylation percentage in each sample. Differentially methylated CGIs between SOA and IV (n=60). 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/MOESM12_of_Genome-wide_assessment_of_DNA_methylation_in...
 
Title MOESM13 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 13: Table S6. Specific loci in SOA compared to IV that contained multiple differential hypo- or hypermethylated tiles (> 20% methylation difference). Enriched biological processes of hypermethylated promoters in SOA vs IV (20% difference of methylation, n=128). 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/MOESM13_of_Genome-wide_assessment_of_DNA_methylation_in...
 
Title MOESM13 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 13: Table S6. Specific loci in SOA compared to IV that contained multiple differential hypo- or hypermethylated tiles (> 20% methylation difference). Enriched biological processes of hypermethylated promoters in SOA vs IV (20% difference of methylation, n=128). 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/MOESM13_of_Genome-wide_assessment_of_DNA_methylation_in...
 
Title MOESM14 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 14: Table S7. Differentially hypomethylated tiles (n=48) and hypermethylated tiles (n=2031) with more than 20% methylation difference in SO compared to SOA. Each tile contains information about the genome location, overlapping gene, Ensembl ID, gene description and methylation percentage in each sample. Differentially methylated CGIs between SO and SOA (n=107) 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/MOESM14_of_Genome-wide_assessment_of_DNA_methylation_in...
 
Title MOESM14 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 14: Table S7. Differentially hypomethylated tiles (n=48) and hypermethylated tiles (n=2031) with more than 20% methylation difference in SO compared to SOA. Each tile contains information about the genome location, overlapping gene, Ensembl ID, gene description and methylation percentage in each sample. Differentially methylated CGIs between SO and SOA (n=107) 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/MOESM14_of_Genome-wide_assessment_of_DNA_methylation_in...
 
Title MOESM15 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 15: Table S8. Specific loci in SO vs. SOA comparison that contained multiple differential hypo- or hypermethylated tiles (more than 20% methylation difference). Enriched biological processes of hypermethylated genes in SO compared to SOA (n=40), including the proteins involved in each GO term. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/MOESM15_of_Genome-wide_assessment_of_DNA_methylation_in...
 
Title MOESM15 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 15: Table S8. Specific loci in SO vs. SOA comparison that contained multiple differential hypo- or hypermethylated tiles (more than 20% methylation difference). Enriched biological processes of hypermethylated genes in SO compared to SOA (n=40), including the proteins involved in each GO term. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/MOESM15_of_Genome-wide_assessment_of_DNA_methylation_in...
 
Title MOESM16 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 16: Table S9. Differentially hypomethylated tiles (n=4158) and hypermethylated tiles (n=3477) with more than 20% methylation difference in IFC compared to SOA. Each tile contains information about the genome location, overlapping gene, Ensembl ID, gene description and methylation percentage in each sample. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/MOESM16_of_Genome-wide_assessment_of_DNA_methylation_in...
 
Title MOESM16 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 16: Table S9. Differentially hypomethylated tiles (n=4158) and hypermethylated tiles (n=3477) with more than 20% methylation difference in IFC compared to SOA. Each tile contains information about the genome location, overlapping gene, Ensembl ID, gene description and methylation percentage in each sample. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/MOESM16_of_Genome-wide_assessment_of_DNA_methylation_in...
 
Title MOESM17 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 17: Table S10. Specific loci in IFC vs. SOA comparison that contained multiple differential hypo- or hypermethylated tiles (more than 20% methylation difference). 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/MOESM17_of_Genome-wide_assessment_of_DNA_methylation_in...
 
Title MOESM17 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 17: Table S10. Specific loci in IFC vs. SOA comparison that contained multiple differential hypo- or hypermethylated tiles (more than 20% methylation difference). 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/MOESM17_of_Genome-wide_assessment_of_DNA_methylation_in...
 
Title MOESM18 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 18: Table S11. Genes commonly hypermethylated or hypomethylated in all pairwise comparisons. Enriched biological processes of genes commonly affected in the SO vs. SOA and IFC vs. SOA comparisons related to sexual maturity of oocytes (n=352). 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/MOESM18_of_Genome-wide_assessment_of_DNA_methylation_in...
 
Title MOESM18 of Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity 
Description Additional file 18: Table S11. Genes commonly hypermethylated or hypomethylated in all pairwise comparisons. Enriched biological processes of genes commonly affected in the SO vs. SOA and IFC vs. SOA comparisons related to sexual maturity of oocytes (n=352). 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/MOESM18_of_Genome-wide_assessment_of_DNA_methylation_in...
 
Title MOESM2 of A KHDC3L mutation resulting in recurrent hydatidiform mole causes genome-wide DNA methylation loss in oocytes and persistent imprinting defects post-fertilisation 
Description Additional file 2 : Table S2: Pyrosequencing primer sequences; .xls, 12 KB. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/MOESM2_of_A_KHDC3L_mutation_resulting_in_recurr...
 
Title MOESM2 of A KHDC3L mutation resulting in recurrent hydatidiform mole causes genome-wide DNA methylation loss in oocytes and persistent imprinting defects post-fertilisation 
Description Additional file 2 : Table S2: Pyrosequencing primer sequences; .xls, 12 KB. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/MOESM2_of_A_KHDC3L_mutation_resulting_in_recurr...
 
Title MOESM2 of Endogenous retroviral insertions drive non-canonical imprinting in extra-embryonic tissues 
Description Additional file 2. Supplementary Tables S1-S6. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/MOESM2_of_Endogenous_retroviral_insertions_drive_non-ca...
 
Title MOESM2 of Endogenous retroviral insertions drive non-canonical imprinting in extra-embryonic tissues 
Description Additional file 2. Supplementary Tables S1-S6. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/MOESM2_of_Endogenous_retroviral_insertions_drive_non-ca...
 
Title MOESM4 of A KHDC3L mutation resulting in recurrent hydatidiform mole causes genome-wide DNA methylation loss in oocytes and persistent imprinting defects post-fertilisation 
Description Additional file 4 : Table S3. Summary of statistical analysis in Figures and Supplementary Figures; .xls, 24 KB. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/MOESM4_of_A_KHDC3L_mutation_resulting_in_recurr...
 
Title MOESM4 of A KHDC3L mutation resulting in recurrent hydatidiform mole causes genome-wide DNA methylation loss in oocytes and persistent imprinting defects post-fertilisation 
Description Additional file 4 : Table S3. Summary of statistical analysis in Figures and Supplementary Figures; .xls, 24 KB. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/MOESM4_of_A_KHDC3L_mutation_resulting_in_recurr...
 
Title MOESM5 of A KHDC3L mutation resulting in recurrent hydatidiform mole causes genome-wide DNA methylation loss in oocytes and persistent imprinting defects post-fertilisation 
Description Additional file 5 : Table S4. Hypomethylated regions in KHDC3Lc.1A>G mole; .xls, 56 KB 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/MOESM5_of_A_KHDC3L_mutation_resulting_in_recurr...
 
Title MOESM5 of A KHDC3L mutation resulting in recurrent hydatidiform mole causes genome-wide DNA methylation loss in oocytes and persistent imprinting defects post-fertilisation 
Description Additional file 5 : Table S4. Hypomethylated regions in KHDC3Lc.1A>G mole; .xls, 56 KB 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/MOESM5_of_A_KHDC3L_mutation_resulting_in_recurr...
 
Title MOESM6 of A KHDC3L mutation resulting in recurrent hydatidiform mole causes genome-wide DNA methylation loss in oocytes and persistent imprinting defects post-fertilisation 
Description Additional file 6 : Table S5. DNA methylation sequencing summary; .xls, 10 KB. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/MOESM6_of_A_KHDC3L_mutation_resulting_in_recurr...
 
Title MOESM6 of A KHDC3L mutation resulting in recurrent hydatidiform mole causes genome-wide DNA methylation loss in oocytes and persistent imprinting defects post-fertilisation 
Description Additional file 6 : Table S5. DNA methylation sequencing summary; .xls, 10 KB. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/MOESM6_of_A_KHDC3L_mutation_resulting_in_recurr...
 
Title Methylation analysis of hydatidiform mole tissue with KHDC3L mutation 
Description DNA methylation datasets from control placenta, biparental mole with KHDC3L mutation, and sporadic androgenetic mole analysed using using Infinium MethylationEPIC 850K Bead Chip. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact Published in Demond et al. Genome Med 2019 PMID: 31847873 
URL http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE138864
 
Title Methylation analysis of oocytes and embryo with KHDC3L mutation 
Description Whole-genome DNA methylation datasets from 5 oocytes and 1 preimplantation embryo from patient with a KHDC3L mutation that causes reproductive failure. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact Published in Demond et al. Genome Med 2019 PMID: 31847873. Provides first evidence that mutations in components of the subcortical maternal complex of the oocyte cause a genome-wide disruption of DNA methylation establishment in oocytes that will manifest as defective imprinting in the conceptus. 
URL http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE122872
 
Title Multi-omic analyses of oocytes lacking H3K9 methyltransferases EHMT1/2 
Description H3K9me3 ChIP-seq, DNA methylation (WGBS) and RNA-seq datasets from wild-type and Ehmt1&2 conditional knock-out mouse oocytes 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
Impact Too early to say 
URL https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE191026
 
Title Multi-omic analyses of oocytes lacking H3K9 methyltransferases EHMT1/2 - proteomics 
Description Proteomics datasets from wild-type and Ehmt1&2 conditional knock-out mouse oocytes 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
Impact Too early to say 
URL http://proteomecentral.proteomexchange.org/cgi/GetDataset?ID=PXD030265
 
Title Single-cell RNA-seq from oocytes and preimplantation embryos 
Description Single-cell RNA-seq from oocytes and preimplantation embryos to profile gene expression changes in human preimplantation development 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
Impact Too early to say 
URL https://www.ncbi.nlm.nih.gov/bioproject/?term=630371
 
Title Single-cell multi-omics data from human pre-implantation embryos 
Description Single-cell RNA-seq and BS-seq datasets from arrested human pre-implantation embryos 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
Impact Too early to say 
URL https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA630371
 
Title Single-cell multi-omics data in oocytes in diet study 
Description Single-cell RNA-seq and BS-seq datasets in oocytes from females exposed to gestational high-fat diet 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact Too early to say 
URL https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE175538
 
Description Chromatin remodelling in germ cells 
Organisation MRC London Institute of Medical Sciences
Country United Kingdom 
Sector Public 
PI Contribution Training in low-input chromatin profiling
Collaborator Contribution Project conception, sample generation, data analysis
Impact Joint publication: PMID: 34880491
Start Year 2018
 
Description Chromatin remodelling in oocytes 
Organisation Technical University of Dresden
Country Germany 
Sector Academic/University 
PI Contribution Project concept, data generation, data analysis
Collaborator Contribution sample generation, data analysis
Impact Joint publication: PMID: 35137160
Start Year 2010
 
Description DNA methylation analysis of mouse oocytes after superovulation 
Organisation Vrije Universiteit Brussel
Country Belgium 
Sector Academic/University 
PI Contribution Performed genome-wide DNA methylation analysis of mouse oocytes and blastocysts and bioinformatics analysis of datasets.
Collaborator Contribution Generated samples: mouse oocytes obtained after natural ovulation, superovulation or in vitro culture, as well as blastocysts derived from these embryos
Impact Joint publication Saenz-de-Juano et al. 2019 Clin Epigenetics PMID: 31856890 Joint publication Saucedo-Cuevas et al. 2023 Clin Epigenetics PMID: 36647174 Partners in further funding: H2020 MCSA Innovative Training Network EurOVA, awarded 2019
Start Year 2016
 
Description Investigating role of LTRs in imprinted gene regulation 
Organisation Curie Institute Paris (Institut Curie)
Country France 
Sector Academic/University 
PI Contribution Molecular analysis of mouse embryos with deletion of LTR element controlling imprinted gene.
Collaborator Contribution Generation of mouse embryos with deletion of LTR element controlling imprinted gene.
Impact Joint publication Hanna et al. 2019 Genome Biol. PMID: 31665063
Start Year 2019
 
Description Methylation analysis of KHDC3L mutation 
Organisation National Research Council
Department Institute of Genetics and Biophysics (IGB)
Country Italy 
Sector Public 
PI Contribution Generation of methylation datasets from oocytes and preimplantation embryo and bioinformatic analysis
Collaborator Contribution Generation of methylation array datasets from placenta and molar tissue
Impact Joint publication Demond et al. Genome Med 2019 PMID: 31847873
Start Year 2019
 
Description Multi-omics analysis of EHMT1/2-deficient oocytes 
Organisation Cancer Research UK Cambridge Institute
Country United Kingdom 
Sector Academic/University 
PI Contribution Project conception, sample generation, data analysis
Collaborator Contribution Generation of proteomics datasets from mouse oocytes and analysis
Impact Joint publication: Demond et al. 2023 Genome Res PMID: 36690445 Joint grant application submitted
Start Year 2019
 
Description Polycystic ovarian syndrome: novel molecular characterization and personalized in vitro maturation protocol 
Organisation Vrije Universiteit Brussel
Country Belgium 
Sector Academic/University 
PI Contribution Single-cell transcriptomic & epigenomic analysis of human oocytes from polycystic ovarian syndrome patients
Collaborator Contribution Provision of samples (human oocytes from polycystic ovarian syndrome patients)
Impact Analysis in progress
Start Year 2022
 
Description RNA and methylation analysis of oocytes and embryos 
Organisation Bellvitge Biomedical Research Institute
Country Spain 
Sector Academic/University 
PI Contribution Single-cell RNA-seq and single-cell BS-seq of oocyte and preimplantation embryo samples from which to profile expression of candidate regulators of imprinting.
Collaborator Contribution Molecular and cell biology analysis of ;imprinting regulator ZFP57 and other candidate regulators; patient recruitment; sample generation.
Impact Joint publication: Monteagudo-Sanchez et al. 2020 PMID: 33053156 Joint grant application.
Start Year 2017
 
Description Single-cell analysis in immune deficiency 
Organisation Bellvitge Biomedical Research Institute
Department Cancer Epigenetics and Biology Programme
Country Spain 
Sector Public 
PI Contribution Generation of single-cell DNA methylation datasets
Collaborator Contribution Project conception, sample generation, data analysis
Impact Joint publication: Rodríguez-Ubreva et al. 2022 Nat Comms PMID: 35365635
Start Year 2015
 
Description Single-cell analysis in immune deficiency 
Organisation EMBL European Bioinformatics Institute (EMBL - EBI)
Country United Kingdom 
Sector Academic/University 
PI Contribution Generation of single-cell DNA methylation datasets
Collaborator Contribution Project conception, sample generation, data analysis
Impact Joint publication: Rodríguez-Ubreva et al. 2022 Nat Comms PMID: 35365635
Start Year 2015
 
Description Single-cell analysis in immune deficiency 
Organisation Josep Carreras Leukaemia Research Institute
Country Spain 
Sector Charity/Non Profit 
PI Contribution Generation of single-cell DNA methylation datasets
Collaborator Contribution Project conception, sample generation, data analysis
Impact Joint publication: Rodríguez-Ubreva et al. 2022 Nat Comms PMID: 35365635
Start Year 2015
 
Description Single-cell epigenomic profiling of spermatogonial stem cells 
Organisation Yokohama City University
Country Japan 
Sector Academic/University 
PI Contribution Our group is providing expertise in single-cell methylation and expression profiling methods.
Collaborator Contribution Their group is responsible for framing the project and experimental design and for providing isolated mouse spermatogonial stem cells.
Impact Hosted visit by post-doc from collaborating group to initiate single cell methylation/transcription profiling. Joint grant awarded: Royal Society International Exchange Award IEC\R3\170052 (March 2018 March 2020): Analysis of spermatogonial stem cell maintenance and differentiation system by the state-of-the-art single-cell technology.
Start Year 2016
 
Description Single-cell multi-omic analysis of human preimplantation embryos 
Organisation Bellvitge Biomedical Research Institute
Department Cancer Epigenetics and Biology Programme
Country Spain 
Sector Public 
PI Contribution Generation of single-cell multi-omic datasets (RNA-seq, BS-seq) from human oocytes and single blastomeres of preimplantation embryos
Collaborator Contribution Project conception, sample generation, data analysis
Impact Joint publication: Hernandez Mora et al. 2023 Cell Reports PMID: 36763500
Start Year 2017
 
Description Single-cell multi-omic analysis of human preimplantation embryos 
Organisation University of East Anglia
Department School of Biological Sciences UEA
Country United Kingdom 
Sector Academic/University 
PI Contribution Generation of single-cell multi-omic datasets (RNA-seq, BS-seq) from human oocytes and single blastomeres of preimplantation embryos
Collaborator Contribution Project conception, sample generation, data analysis
Impact Joint publication: Hernandez Mora et al. 2023 Cell Reports PMID: 36763500
Start Year 2017
 
Description Single-cell multi-omic analysis of oocytes in diet study 
Organisation Cardiff University
Department School of Biosciences
Country United Kingdom 
Sector Academic/University 
PI Contribution Generation of single-cell multi-omic datasets (RNA-seq, BS-seq) from mouse oocytes from females exposed to gestational high-fat diet
Collaborator Contribution Oroject conception, sample generation, data analysis
Impact Joint publication: Van der Pette et al. 2022 Nat Comms PMID: 35513363
Start Year 2019
 
Description Single-cell multi-omic analysis of oocytes in diet study 
Organisation Imperial College London
Department MRC London Institute of Medical Sciences
Country United Kingdom 
Sector Academic/University 
PI Contribution Generation of single-cell multi-omic datasets (RNA-seq, BS-seq) from mouse oocytes from females exposed to gestational high-fat diet
Collaborator Contribution Oroject conception, sample generation, data analysis
Impact Joint publication: Van der Pette et al. 2022 Nat Comms PMID: 35513363
Start Year 2019
 
Description Babraham Schools' Day 
Form Of Engagement Activity Participation in an open day or visit at my research institution
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Schools
Results and Impact At Schools' Day, students from schools all over Cambridgeshire and beyond gather at the Institute to discover more about our world-leading bioscience research. Led by Institute researchers, secondary and sixth-form students complete hands-on lab projects. Often using equipment not available within schools, Schools' Day aims to enthuse, inspire and motivate students and provide insight into what life is really like in the lab.
Schools' Day is for students in Years 10-13. Typically, up to 5 students per school or sixth form may attend, although more places may be offered if capacity allows. There is active outreach done to promote the opportunity to schools and students from areas of high deprivation and an associated travel bursary to enable this targeted audience approach.
Year(s) Of Engagement Activity 2018
URL https://www.babraham.ac.uk/blog/SchoolsDay-2023
 
Description Babraham Schools' Day 
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 As part of the wider Babraham Institute Schools' Day, my group ran projects for groups of 3-4 GCSE and A level students.
Year(s) Of Engagement Activity 2020
 
Description Blog about imprinting 
Form Of Engagement Activity A magazine, newsletter or online publication
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact Blog titled 'An evolutionary battle of the sexes: The epigenetic phenomenon of genomic imprinting' giving an introduction to genomic imprinting, published on the Institute's website and shared on social media.
Year(s) Of Engagement Activity 2022
URL https://www.babraham.ac.uk/blog/genomic-imprinting
 
Description Cambridge Reproduction SRI, online workshop: "Interdisciplinary reflections on inheritance, development and environment" 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Postgraduate students
Results and Impact An online seminar that launched the research theme "Inheritance, Development and Environment" within the Cambridge Reproduction Strategic Research Initiative. Speakers from a range of departments across the University, encompassing molecular genetics, evolution theory and social science gave short presentations, followed by discussion.
Year(s) Of Engagement Activity 2020
URL https://www.repro.cam.ac.uk/events/interdisciplinary-reflections-inheritance-development-and-environ...
 
Description ESHG course 'Next-generation Reproductive Medicine' 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Lecture and interactive sessions at the ESHG course 'Next-generation Reproductive Medicine', Maastricht October 2022
Debates about various aspects of contemporary reproductive medicine and assisted reproduction
Audience (100+ in person and online) comprised students and practitioners in reproductive medicine and assisted reproduction.
Year(s) Of Engagement Activity 2022
URL https://www.mumc.nl/actueel/agenda/course-next-generation-reproductive-medicine
 
Description Epigenetics Escape Room Cambridge Science Festival event 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Public/other audiences
Results and Impact Online escape room style engagement resource. Developed by researchers with puzzles linking to real life research. Event was run as part of Cambridge Science Festival with public audiences taking part and learning more about the Institute and our epigenetics research
Year(s) Of Engagement Activity 2021
URL https://escape.babraham.ac.uk/
 
Description Form the Future Careers Talk 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Schools
Results and Impact Careers talk to sixth form aged students (Netherhall School, Cambridge) covering careers in bioscience, personal career journey and an overview of research interests.
Year(s) Of Engagement Activity 2021
 
Description Form the Future School Careers Event 
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 180 sixth form aged students attended this event (hosted at St Bedes School, Cambridge) where staff discussed and answered questions about what a bioscience career is like as well as discussing research interests. Teachers reported that students had increased their knowledge of such careers and especially highlighted the breadth of different roles the event highlighted to them.
Year(s) Of Engagement Activity 2021
 
Description Royal Society of Medicine CPD meeting on 'Epigenetics' 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Continuing professional development event held by the Royal Society of Medicine to raise awareness of epigenetics amongst medical professionals, students, junior doctors.
Year(s) Of Engagement Activity 2019
URL https://www.rsm.ac.uk/events/medical-genetics/2018-19/mgm03/
 
Description Scientist Stories 
Form Of Engagement Activity A broadcast e.g. TV/radio/film/podcast (other than news/press)
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact Video interview with Gavin Kelsey who speaks about his career and research
Year(s) Of Engagement Activity 2022
URL https://www.youtube.com/watch?v=ZjU_gvNDZI8&t=1s
 
Description Summer placement student 
Form Of Engagement Activity Participation in an open day or visit at my research institution
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Undergraduate students
Results and Impact Higher education student carried out 8 week lab based summer placement learning a variety of techniques and data analysis methods. They reported an increase in knowledge, skills, and a broadening of their understanding of careers in science as well as how academic research functions. This programme is run in partnership with the In2Research programme and is only open to students from disadvantaged backgrounds. It aims to increase equitable access to our research and porgrammes for all audiences.
Year(s) Of Engagement Activity 2023
URL https://www.babraham.ac.uk/research-access-programme