Meet the team

Developmental epigenomics research

“How do cells use their DNA to change behaviour?”

Cells need to know how to change their behaviour and functionality based on their environment.

Parts of our genome codes the production of molecules that then re-engage with DNA to express other genomic areas. These molecules may interact with the DNA directly, or with proteins that attach to DNA to support it.

Examples include transcription factors, that tells the DNA directly how to unwind to produce proteins. Other molecules are called nucleosomes and histones – these are structures that attach to DNA and can control transcription factor access and effect.

This complex network of molecules is called the epigenome, and it allows for DNA expression and cell function to change as needed in time and space. The study of these structures and their effects is called epigenomics.

Our team is interested in how the epigenome functions and shapes cell development, and what happens when things go wrong.

What the team are doing and how they are doing it

We look at the genome as a whole using a number of high-throughput genomic techniques – techniques that can rapidly determine the sequence of millions of DNA molecules at a time. We use the genomes of animal models including Drosophila and zebrafish.

We use computational analysis of these data sets to identify patterns and test hypotheses.

Real world implications

The disruption of the epigenome can lead to a number of developmental disorders and diseases such as cancer. If we can uncover more about the functioning of these mechanisms, we may be able to better understand the cause of the associated diseases.

“We aim to understand how cells use their genetic information throughout development, and how these regulatory mechanisms are affected in disease.”

The interest of our laboratory is to understand how the information encoded in the DNA is accurately used by cells to perform the physiological functions that are required for each organism during the different phases of their life cycles. The access to this information is tightly regulated by an intricate system of different regulatory layers involving, for example, the recognition of specific sequences in the DNA by transcription factors, the positioning of nucleosomes and associated histone marks at key locations in the DNA, or the higher-order accessibility and three-dimensional positioning of the chromatin in the nucleus, among others. These determine, for instance, which genes need to be turned on or off at different developmental times, and in response to infectious agents or changes in the environment. The disruption or break down of these regulatory mechanisms are responsible of many developmental disorders and diseases such as cancer. We aim to uncover the functioning of some of these mechanisms, which, in turn, will help us understand the cause of the associated diseases.

To do so, we employ high-throughput genomic techniques such as single-cell multiomics, RNA-seq, ChIP-seq, or Hi-C, that examine not only individual genes, but the genome as a whole, allowing us to measure changes in regulatory mechanisms at a global scale even for individual cells. The computational analysis of these datasets allows us to test hypotheses and draw conclusions from observing specific patterns in the data. Have a look at this video to get an idea of how we do these experiments:

Juanma Vaquerizas holds an Academy of Medical Sciences Professorship.

Our research is supported by

MRC UKRI logo
The Academy of Medical Science logo

Selected publications

Chang NC, Rovira Q, Wells JN, Feschotte C, Vaquerizas JM. Zebrafish transposable elements show extensive diversification in age, genomic distribution, and developmental expression. Genome Res. 2022 Jan 5:gr.275655.121. doi: 10.1101/gr.275655.121.

Ing-Simmons E, Rigau M, Vaquerizas JM. Curr Opin Cell Biol. 2022 Emerging mechanisms and dynamics of three-dimensional genome organisation at zygotic genome activation. Jan 19;74:37-46. doi: 10.1016/j.ceb.2021.12.004.

Ing-Simmons E, Vaid R, Bing XY, Levine M, Mannervik M, Vaquerizas JM. (2021). Independence of chromatin conformation and gene regulation during Drosophila dorsoventral patterning. Nature Genetics 53(4):487-499. doi: 10.1038/s41588-021-00799-x. PMID: 33795866; PMCID: PMC8035076.

This research featured on the front cover: https://www.nature.com/ng/volumes/53/issues/4 

Kruse K, Hug CB, Vaquerizas JM. (2020). FAN-C: a feature-rich framework for the analysis and visualisation of chromosome conformation capture data. Genome Biology 21(1):303. doi: 10.1186/s13059-020-02215-9. PMID: 33334380; PMCID: PMC7745377.

Rhodes JDP, Feldman A, Hernandez-Rodriguez B, Diaz N, Brown JM, Fursova NA, Blackledge NP, Prathapan P, Dobrinic P, Huseyin MK, Szczurek A, Kruse K, Nasymth KA, Buckle VJ, Vaquerizas JM, Klose RJ. (2020). Cohesin disrupts Polycomb-dependent chromosome interactions in embryonic stem cellsCell Reports, doi: 10.1016/j.celrep.2019.12.057.

Galan S, Machnik N, Kruse K, Díaz N, Marti-Renom MA, Vaquerizas JM. (2020). CHESS enables quantitative comparison of chromatin contact data and automatic feature extraction. Nature Genetics 52(11):1247-1255. doi: 10.1038/s41588-020-00712-y.  PMID: 33077914; PMCID: PMC7610641.

Ing-Simmons E, Vaquerizas JM. (2019). Visualising three-dimensional genome organisation in two dimensionsDevelopment, doi: 10.1242/dev.177162.

Diaz N, Kruse K, Erdmann T, Staiger AM, Ott G, Lenz G, Vaquerizas JM. (2018). Chromatin conformation analysis of primary patient tissue using a low input Hi-C methodNature Communicationsdoi: 10.1038/s41467-018-06961-0.

Hug CB, Grimaldi AG, Kruse K, Vaquerizas JM. (2017). Chromatin architecture emerges during zygotic genome activation independent of transcriptionCell, doi: 10.1016/j.cell.2017.03.024

Vaquerizas JM, Torres-Padilla M. (2016). Developmental biology: Panormaic views of the early epigenomeNaturedoi: 10.1038/nature19468.

Vaquerizas JM, Kummerfeld SK, Teichmann SA, Luscombe NM. (2009). A census of human transcription factors: function, expression and evolutionNature Reviews Genetics,  doi: 10.1038/nrg2538.

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