Timothy Saunders2022-06-29T10:45:37+08:00

Timothy SAUNDERS

Associate Professor, University of Warwick, UK
Associate Professor, Mechanobiology Institute, National University of Singapore

dbsste@nus.edu.sg
Level 9 T-Lab
National University of Singapore
5A Engineering Drive 1
Singapore 117411

Curriculum Vitae

Laboratory website
Mechanics of Development Lab

Research Program
Mechanotransduction in Tissues Group

Affiliations
Department of Biological Sciences, National University of Singapore

Recent Research

The mechanical editor

A recent study led by Dr. Shaobo Zhang and MBI Principal Investigator Associate Professor Timothy Saunders describes how periodic filopodial retraction caused by the contractile activity of transient Myosin II clusters at the cell leading edge ensures precise matching between primitive heart cells during heart development in Drosophila embryos. Learn more

By |Oct 12th, 2020|Categories: Featured Research, Saunders Lab, Science Features|Comments Off on The mechanical editor

Timothy Saunders

Principal Investigator

Please note that the Saunders Lab has moved to the University of Warwick, UK, and will not be recruiting new staff or students in Singapore.

Research Areas

My research tackles two major problems in developmental biology: (1) how do embryos ensure coordinated development to ensure robust morphogenesis?; (2) how does complex organ shape emerge during developing? We focus on using quantitative biology techniques and modelling to deepen our understanding of these important questions.  We are particularly interested in the role of mechanical interactions in guiding morphogenesis, and how such mechanics interacts with signalling networks during development.

Research Interests

Organ morphogenesis

My lab also studies how complex three-dimensional tissue shape emerges. Using the developing Zebrafish myotome as a model system, we have utilized light-sheet microscopy to create a four-dimensional map of the developing myotome. The myotome has signalling inputs from three orthogonal morphogens (BMP, Shh, FGF), as well as considerable cellular rearrangement and shape change. Using our maps, we have found, for example, that FGF determines slow muscle fibre cell fate, not by direct signalling, but instead non-autonomously by regulating the elongation and migration of fast muscle cells which subsequently displace the slow muscle fibres from the source of Shh. Relatedly, we are exploring the biophysics of the emergence of the distinctive chevron shape of the myotome.

We have explored the role of differential mechanical interactions in the formation of the Drosophila heart. In particular, we have focused on the question of how cells of the same type reliably match during cardiogenesis. We have found that cell adhesion molecules Fasciclin-III and Teneurin-m act complementarily to provide an adhesion gradient across each heart segment, which results in reliable cell matching.

Developing organisms are three-dimensional, yet much research into tissue mechanics and interactions has focused on relatively flat tissues, such as the Drosophila wing disc. We are exploring how cells arrange and compete for space in curved three-dimensional environments. Using theory and experiment, we have shown that during cellularisation in the Drosophila embryo, cells undergo skew and apical-to-basal neighbour rearrangements to adapt for geometric constraints.

Finally, we are interested in organ scaling. Even between closely related animals there can be considerable variation in body size.  Yet, for example, organs are typically positioned in the correct relative position for each specimen.  Using light-sheet microscopy, we are using Drosophila embryogenesis to explore when and how such scaling decisions are made.

Temporal coordination

A developing organism needs to regulate the onset of different process temporally as well as spatially. Gene regulatory networks have been intensively studied in the Drosophila embryo, yet how networks temporal integrate input signals remains poorly understood. We developed an optogenetic tool that enabled us to spatially and temporally control the activity of a morphogen (Bicoid). We have determined the time windows for Bicoid activity and revealed spatial dependence in the timing of Bicoid readout, with more anterior genes requiring Bicoid input earlier and for longer than more posterior target genes.

How do embryos adapt to temporal variation–for example, due to environmental changes? We have shown that expression of specific microRNAs is variable at different temperatures within the Drosophila embryo, and this temperature-specific regulation plays a crucial role in ensuring robust development. Further, we have quantified temporal precision in development, and this work has revealed intriguing temperature-specific behaviour in the temporal development of Drosophila.

Signaling networks and morphogenesis

Position can be defined by the use of spatially extended gradients of signaling molecules. Since biological processes are inherently noisy, these gradients require mechanisms to ensure that they are precisely interpreted.  We examine how the mechanisms of gradient formation affect the robustness of the downstream signaling. We have also explored how morphogens can be reliably interpreted prior to obtaining their steady-state profile.

We have modelled the role of morphogens in formation of eyespots in the butterfly wing. Our model can successfully replicate a wide range of mutant phenotypes from CRISPR-Cas9 mutations of the gene Distalless, providing insight into the emergence of complex traits.

As a next step, we want to combine our exciting results in organogenesis and morphogen gradient readout to better understand how complex shape emerges during development.

TOOLS AND METHODS

Microscopy

We use state-of-the-art light-sheet microscopy. This enables us to image entire developing organisms in toto while also having sufficient spatial and temporal resolution to probe single cell behavior.

Image analysis

The lab produces large amounts of quantitative data. We develop sophisticated methodologies to handle terabytes of data and extract the biological relevant information.

Modeling

Mathematical modeling is used to make predictions about system behavior. Methods used include reaction-diffusion equations and Gillespie stochastic simulations. We are also interested in exploring how gene regulatory networks ensure robust decision-making.

Biography

2010 – 2013 EIPOD Fellow in the groups of Dr Lars Hufnagel and Dr Eileen Furlong at EMBL-Heidelberg, Germany

2007 – 2010 Postdoctoral researcher in the group of Professor Martin Howard at John Innes Centre, Norwich, UK

2007 PhD (Theoretical physics) University of Oxford

2004 MPhys 1st class, Cambridge University

2003 BA 1st class, Cambridge University

Recent Publications

  1. Mendieta-Serrano MA, Dhar S, Ng BH, Narayanan R, Lee JJY, Ong HT, Toh PJY, Röllin A, Roy S, and Saunders TE. Slow muscles guide fast myocyte fusion to ensure robust myotome formation despite the high spatiotemporal stochasticity of fusion events. Dev Cell 2022;. [PMID: 36027918]
  2. Toh PJY, Lai JKH, Hermann A, Destaing O, Sheetz MP, Sudol M, and Saunders TE. Optogenetic control of YAP cellular localisation and function. EMBO Rep 2022;:e54401. [PMID: 35876586]
  3. Mahabaleshwar H, Asharani PV, Loo TY, Koh SY, Pitman MR, Kwok S, Ma J, Hu B, Lin F, Li Lok X, Pitson SM, Saunders TE, and Carney TJ. Slit-Robo signalling establishes a Sphingosine-1-phosphate gradient to polarise fin mesenchyme. EMBO Rep 2022;:e54464. [PMID: 35679135]
  4. Lai JKH, Toh PJY, Cognart HA, Chouhan G, and Saunders TE. DNA-damage induced cell death in yap1;wwtr1 mutant epidermal basal cells. Elife 2022; 11. [PMID: 35635436]
  5. Karkali K, Tiwari P, Singh A, Tlili S, Jorba I, Navajas D, Muñoz JJ, Saunders TE, and Martin-Blanco E. Condensation of the Drosophila nerve cord is oscillatory and depends on coordinated mechanical interactions. Dev Cell 2022; 57(7):867-882.e5. [PMID: 35413236]
  6. de-Carvalho J, Tlili S, Hufnagel L, Saunders TE, and Telley IA. Aster repulsion drives short-ranged ordering in the Drosophila syncytial blastoderm. Development 2022;. [PMID: 35001104]
  7. Zhang S, and Saunders TE. Protocol for batch imaging and quantification of cellular mismatch during Drosophila embryonic heart formation. STAR Protoc 2021; 2(4):100817. [PMID: 34568842]
  8. Narayanan R, Mendieta-Serrano MA, and Saunders TE. The role of cellular active stresses in shaping the zebrafish body axis. Curr Opin Cell Biol 2021; 73:69-77. [PMID: 34303916]
  9. Saunders TE. The early Drosophila embryo as a model system for quantitative biology. Cells Dev 2021;:203722. [PMID: 34298230]
  10. Yadav V, Tolwinski N, and Saunders TE. Spatiotemporal sensitivity of mesoderm specification to FGFR signalling in the Drosophila embryo. Sci Rep 2021; 11(1):14091. [PMID: 34238963]

Lab Members

Sunandan Dhar

Sep 6th, 2018|Comments Off on Sunandan Dhar

PhD Student, Class of August 2018, Saunders Group

Vaishali Yadav

May 24th, 2017|Comments Off on Vaishali Yadav

PhD Student, Class of August 2016, Saunders Group

Recent Alumni

Anand Pratap Singh

Apr 11th, 2017|Comments Off on Anand Pratap Singh

Alumni, Saunders Group, now a post-doctoral researcher at Princeton University, USA

About the National University of Singapore

About NUSA leading global university centred in Asia, NUS is Singapore's flagship university, offering a global approach to education and research with a focus on Asian perspectives and expertise.

About the Mechanobiology Institute, National University of Singapore

About MBIOne of four Research Centres of Excellence at NUS, MBI is working to identify, measure and describe how the forces for motility and morphogenesis are expressed at the molecular, cellular and tissue level.
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