Sauka-Spengler group- Gene Regulatory Networks in Development and Disease
About the research
Our laboratory focuses on deciphering gene regulatory networks that govern complex programmes during early vertebrate development. We use systems approaches in specific cell types isolated directly from developing embryos to analyse transcriptional, epigenomic and cis-regulatory landscapes with an aim to decode and probe developmental programmes at the population and single-cell level.
One of the intriguing developmental populations studied in our lab is the vertebrate neural crest. Neural crest (NC) is a unique multipotent embryonic cell population that differentiates into a plethora of diverse cell types, giving rise to structures as different as neurons and glia of peripheral nervous system, bone, cartilage and connective tissue elements of craniofacial skeleton and body’s pigmentation. Defects in neural crest patterning are some of the most common causes of birth anomalies, accounting for up to one-third of all congenital birth defects. Due to the unique multipotency, developmental plasticity and vast migratory potential of neural crest cells, there is today broad interest in using their regenerative capacity in stem cell-based therapeutics.
By systematic genome-wide profiling of the neural crest regulatory landscape in two model organisms, zebrafish and chicken, our laboratory has, over the past few years, gained an unprecedented systems level insight into the complex gene regulatory programmes that underlie early steps of neural crest formation. With the regulatory picture obtained directly from developing embryos, we started to unravel the chromatin dynamics events at the regulatory loci, characterising the structure of the topologically associating domains of neural crest regulators and probe the cis-regulatory elements that coordinate neural crest programme. This unique breadth of information now allows us to explore and utilise gene regulatory interactions uncovered to model minimal neural crest specification programme and develop protocols for directed specification of neural crest derivatives from stem cells.
At this point, we are engaging in multiple lines of investigation of the neural crest gene regulatory network. For example, we offer opportunities to study complex mechanisms such as multiple enhancer convergence in super enhancer-like clusters, to decipher the events of commitment to neural crest fates at a single cell level from the chromatin/gene regulatory interaction standpoint, or to target and activate critical neural crest circuits endogenously in human embryonic stem cells using novel epigenome engineering (EGE) approaches (CRISPR/Cas9 effector technology), already existing in the lab. We also offer an opportunity to extend the network knowledge to the context of human development, and provide opportunities to explore the wealth of accumulated data using deep learning approaches to study principles of gene regulation across evolution.
We are looking for an excellent, motivated and creative candidate to become a part of our dynamic and ambitious team. The successful candidate will receive first-hand training in cutting-edge, state-of-the-art genome-wide profiling and epigenome engineering technologies, as well as in developmental genomics and computational biology, to be able to successfully tackle the chromatin changes or activate regulatory elements that prime and drive neural crest programme during embryonic development. The candidate will be allowed to influence and freely shape his/her project, while at the same time being carefully advised on feasibility and potential pitfalls of the approaches. It is our aim to foster creativity, novelty and excellent science, provide multifaceted training while answering questions at the cutting edge of our field. The candidate will be embedded within a dynamic group of researchers that employ genetic and system biology approaches to study gene regulatory circuitry in the various contexts of development and disease and will have ample opportunities to grow in spheres of genomics and quantitative biology, as well as to develop collaborations with modelling and stem cell biology groups
Students will be enrolled on the MRC WIMM DPhil Course, which takes place in the autumn of their first year. Running over several days, this course helps students to develop basic research and presentation skills, as well as introducing them to a wide-range of scientific techniques and principles, ensuring that students have the opportunity to build a broad-based understanding of differing research methodologies.
Generic skills training is offered through the Medical Sciences Division's Skills Training Programme. This programme offers a comprehensive range of courses covering many important areas of researcher development: knowledge and intellectual abilities, personal effectiveness, research governance and organisation, and engagement, influence and impact. Students are actively encouraged to take advantage of the training opportunities available to them.
As well as the specific training detailed above, students will have access to a wide-range of seminars and training opportunities through the many research institutes and centres based in Oxford.
All MRC WIMM graduate students are encouraged to participate in the successful mentoring scheme of the Radcliffe Department of Medicine, which is the host department of the MRC WIMM. This mentoring scheme provides an additional possible channel for personal and professional development outside the regular supervisory framework. The RDM also holds an Athena SWAN Silver Award in recognition of our efforts to build a happy and rewarding environment where all staff and students are supported to achieve their full potential.
Ling, ITC and Sauka-Spengler T. (2019) Early chromatin shaping predetermines multipotent vagal neural crest into distinct lineages. Nat Cell Bio 21(12):1504-1517.
Hockman D, Chong-Morrison V, Green S, Gavriouchkina D, Candido-Ferreira I, Ling ITC, Williams RM, Amemiya CT, Smith JJ, Bronner ME, Sauka-Spengler T. (2019) A genome-wide assessment of the ancestral neural crest gene regulatory network. Nat Commun. 10(1):4689. (2019).
Williams RM, Candido-Ferreira I, Repapi E, Gavriouchkina D, Senanayake U, Ling ITC, Telenius J, Taylor S, Hughes J, Sauka-Spengler T. (2019). Reconstruction of the global neural crest gene regulatory network in vivo. Dev Cell 51(2):255-276.e7.
Weinberger* M, Simões* FC, Patient R, Sauka-Spengler* T, and Riley* PR. (2018). Functional heterogeneity within the developing zebrafish epicardium. Dev Cell (In press) Preprint bioRxiv 460394 https://do.iorg/101101/460394.
Simões* FC, Cahill* TJ, Kenyon A, Gavriouchkina D, Vieira JM, Sun X, Pezzolla D, Ravaud C, Masmanian E, Weinberger M, Mayes S, Lemieux ME, Barnette DN, Gunadasa-Rohling M, Williams RM, Greaves DR, Trinh LA, Fraser SE, Dallas SL, Choudhury* RP, Sauka-Spengler* T, Riley* PR. Macrophages directly contribute collagen to scar formation during zebrafish heart regeneration and mouse heart repair. Nat Commun (In press).
Lukoseviciute* M, Gavriouchkina* D, Williams* RM, Hochgreb-Hagele T, Senanayake U, Chong-Morrison V, Thongjuea S, Repapi E, Mead A, Sauka-Spengler T. (2018) From pioneer to repressor: Bimodal foxd3 activity dynamically remodels neural crest regulatory landscape in vivo. Dev Cell 47, 608-628.
Williams* R.M, Senanayake* U, Artibani M, Taylor O.G, Wells D, Ahmed A.A, Sauka-Spengler T. (2018). Genome and epigenome engineering CRISPR toolkit for in vivo modulation of cis-regulatory interactions and gene expression in the chicken embryo. Development Feb 23;145(4) dev.160333
Kenyon A, Gavriouchkina D, Zorman J, Chong-Morrison V, Napolitani G, Cerundolo V, Sauka-Spengler T. (2018) Generation of a double binary transgenic zebrafish model to study myeloid gene regulation in response to oncogene activation in melanocytes. Dis Model Mech. 2018 Apr 6;11(4).
Trinh* LA, Chong-Morrison* V, Gavriouchkina D, Hochgreb-Hägele T, Senanayake U, Fraser SE, Sauka-Spengler T (2017). Biotagging of Specific Cell Populations in Zebrafish Reveals Gene Regulatory Logic Encoded in the Nuclear Transcriptome. Cell Rep. 19(2):425-440.