Stochastic fluctuations during mammary development and breast cancer morphogenesis

Lead Research Organisation: The Francis Crick Institute
Department Name: Research

Abstract

We all know from everyday experience that parts of our body can have slightly different shapes. Some of this variance is due to differences in genes, but some is also due to natural variability. This variability, where the same genetic program within cells can lead to slightly different results, arises from random (stochastic) physical processes in cells. Although determined by the same genetic program, healthy and diseased organs show a variety of shapes and forms. At present the variability exhibited by tissues is not well understood. In this proposal we will quantify and analyse the stochasticity underlying the adoption of three-dimensional shapes by multicellular structures. We anticipate that our work will identify fundamental principles governing organ and cancer development.

Part of the variability that we intend to explore arises from how cells exert forces and interact mechanically with each other, and part of it arises from the dynamics of stem cells. Cells use their cytoskeleton, an internal architecture capable of exerting forces, to move relative to each other. In addition, stem cells ensure that tissues function properly by dividing and giving rise to different cell types. For example, stem cells replace damaged cells during the repair of injured organs. Also in cancer there are stem cells, so call cancer stem cells, and these cancer stem cells (CSC) are believed to be required for cancer to spread to other sites in the body (metastasis) and are also linked to the re-emergence of cancer (relapse) after therapy.

It is not currently possible to investigate the position and the behaviour of all cells in a living animal organ. In the last few years it has become possible to culture small organ-like structures and cancers in 3 dimensions, in so-called organoids. The cellular functions and interplay in organoids is very similar to what is observed in a living animal, thus organoids represent a unique system to study the collective behaviour of cells.

Here we will explore how tissue variability in mammary gland organoids arises from mechanical forces exerted by cells on each other, and how stem cells divide and give rise to other cell types. We will look at mammary gland organoids because breast cancer is a very common disease and affects 1 in 7 woman. To do this, we will develop a system to image organoids over a prolonged period of time and use it to investigate where the stem cells are, how they divide, what type of progeny cells they generate, and how stem and progeny cells exert forces inside the organoid, to produce different organ and cancer shapes. This imaging will be performed using a custom-built microscope, and the analysis be performed using sophisticated computational and physical modelling approaches.

We will then use methods from physical sciences and numerical simulations to understand how the uncertainty in cellular behaviour results in variability of tissue shapes. Mathematical tools from theoretical physics allow to connect the behaviour of a physical system at different scales. By using a multidisciplinary approach, we will apply these tools to address the question of organ-scale variability.

Planned Impact

The proposed research program would benefit:

- Industry - The proposed work of research will produce a highly-skilled workforce (Postdocs) trained in cutting-edge organoid tissue generation and culture, advanced quantitative microscopy approaches, 3D image segmentation and biophysical modelling of tissues, which will be useful to industry. It is expected that our approach to track the development of an organ and cancer over time may be adopted by other researcher and biotech companies to study their organ or cancer of interest. Facilitating this, the Francis Crick Institute is a discovery research institute oriented towards developing discoveries into future therapies, prevention strategies and diagnostic approaches, exemplified in the Crick strategic aim 'Accelerating Translation for Health and Wealth'. The culture of translation at the Crick is supported by a dedicated Translation Team, complemented by experts from industry, entrepreneurs and investors, who work closely with researchers to ensure early identification and accelerated development of discoveries to achieve impact. The team provides expertise in a range of areas from exploitation of internal technology capability, innovative intellectual property development, to partnering with pharma and biotech.

- Medicine - This research will shed light on the function of stem cells in generating a tissue and a tumour. It is postulated that successful cancer treatment needs to eradicate cancer stem cells (CSCs), and the thorough functional characterisation of CSCs has become a crucial endeavour of cancer biology. Thus we are hopeful that long-term by improving the understanding of CSC biology our research could create new opportunities for cancer treatment.

- General public - through events such as: "Einstein Day" laboratory tours (CD); exhibits at public science festivals such as the Imperial Festival (CD); Crick Lates (AB, GS) as well as the Crick's Science Exhibition space; and giving presentations about our work to lay public, such as Pint of Science talks (https://pintofscience.com/) (CD, GS, AB). These events will engage the public and inform them about stem and cancer cell biology, cutting-edge microscopy and biophysical modelling of tissue. Ultimately, the general public may benefit from new therapies to cancer and other diseases derived from the improved understanding of cancer tissue evolution gained during the project.

- Training and professional development: GS is actively involved in interdisciplinary activities, participating in the teaching of an MSc program at the physics/biology interface through the UCL-based Institute for the Physics of Living Systems (IPLS). CD teaches Physics undergraduates and postgraduates on MSc courses in Optics and Photonics and on Diamond Science and Technology. CD and GS will use these opportunities to communicate to and enthuse students about current research and its impact.

Our work aims to deliver an unprecedented advance in the understanding of tissue growth variability using a multidisciplinary approach. Our objective is that it will contribute substantially to the UK's global leadership in stem cell biology and cancer. This is closely aligned with current policy and priorities across UKRI for supporting multidisciplinary research. It is expected that this proposed multidisciplinary research will be of great interest for the cancer, stem cell, microscopy development, bio-computational, and bio-physical communities nationally and internationally. The fundamental importance of the scientific question, together with our innovative methodology and our proven track record to deliver highest quality multidisciplinary research, will lead to high impact publications in reputable journals and open new avenues of investigation for other researchers. Such exposure will help to ensure significant publicity for EPSRC and the UK in general.
 
Description Despite numerous substantial difficulties encountered during the COVID pandemic, this ambitious project made a number of significant advances.

We implemented a novel single-objective light-sheet fluorescence microscope design called dual-view oblique plane microscopy (dOPM). We refined the approach and published the first demonstration of such a system. This method was implemented as it provides a more isotropic spatial resolution compared to existing single-objective light-sheet fluorescence microscope systems, and this was found to be essential for accurate membrane segmentation when imaging cancer organoids. The dOPM system was demonstrated to provide unprecedented sub-cellular imaging of 50 live organoids - divided into four different biological conditions in a multiwell plate - in three spectral channels at 15 minute intervals over more than 6 days. The technology developed during this award was a major component of a successful CRUK Accelerator grant application where the dOPM system has been further improved and replicated at 4 different research institutes. The intellectual property underlying dOPM is being patented by Imperial and potential routes to its commercialisation are being pursued.

The project developed transgenic mouse mammary models with fluorescently labelled membrane and actin networks. Unfortunately, due to culling of mouse colonies and many other difficulties during the COVID pandemic, we were not able to achieve a model with the originally intended fluorescently tagged stem-cell markers. Nevertheless, we developed successful protocols for live-cell imaging of arrays of normal and cancer organoids in the dOPM microscope.

During the project we developed a novel and sophisticated image analysis suite that combines advanced 'classical' 3D image segmentation approaches with deep-learning 3D segmentation. The two approaches were combined together to utilise the strengths of both approaches in a synergistic way. An open-source classical active contours mesh-based segmentation tool called Deforming Mesh 3D (DM3D) was developed as a plug-in for the open-source image analysis package FIJI. This tool allows the user to perform a rapid semi-manual segmentation of 3D cancer spheroid images. This manual segmentation was then used to train a 3D Unet deep-learning architecture. The trained Unet could then be applied to segment time-lapse 3D cancer spheroid image data. Crucially, the DM3D tool could be used to correct any errors in the Unet segmentation and the results then used to retrain the Unet to improve its performance. This tool is opensource and has been complemented by online documentation, usage examples and tutorials.

The project also developed a novel modelling and simulation framework for cell aggregates in three dimensions based on interacting active surfaces. Cell mechanics are captured by a physical description of the acto-myosin cortex that includes cortical flows, viscous forces, active tensions, and bending moments. Cells interact with each other via short-range forces capturing the effect of adhesion molecules. We discretised the model equations using a finite element method, and provide a parallel implementation in C++. We applied this framework to small and medium-sized aggregates and considered the shape and dynamics of a cell doublet, a planar cell sheet, and a growing cell aggregate. This framework opens the door to the systematic exploration of the cell to tissue-scale mechanics of cell aggregates, which plays a key role in the morphogenesis of embryos and organoids.
Exploitation Route The methodology developed for imaging of organoids, image segmentation, and the active interacting surface simulation framework can be used to study the physics of organoids of different types.
Sectors Healthcare

 
Description Accelerating our ability to understand and target complexity and heterogeneity in cancer through automated imaging of 3D cancer models including patient derived organoids
Amount £4,500,000 (GBP)
Funding ID C10441/A29368 
Organisation Cancer Research UK 
Sector Charity/Non Profit
Country United Kingdom
Start 03/2020 
End 02/2025
 
Title Development of a dual-view oblique plane microscope 
Description We have developed a dual-view oblique plane microscope. This microscope uses a single high numerical aperture microscope objective for both illuminating the sample with a tilted light sheet and collecting the fluorescence from the tilted plane. In addition, it combines a mechanism where both the angle of the light sheet and the angle of the detection plane can be switched so that two different views can be obtained at different angles. The scanning of the light sheet through the sample and switching between the two views is achieved conveniently through translation of a single actuator controlling the position of two small mirrors placed in a common holder. 
Type Of Material Technology assay or reagent 
Year Produced 2020 
Provided To Others? Yes  
Impact This microscope system has enabled us to image 10s of organoids in multiple spectral channels at 15 minute intervals over many days. We are currently working to apply this system to the study arrays of mouse mammary organoids in 3D over time. 
URL https://doi.org/10.1364/BOE.409781
 
Description Collaboration with Axel Behrens and Chris Dunsby 
Organisation Francis Crick Institute
Country United Kingdom 
Sector Academic/University 
PI Contribution I contribute my expertise to establish a theoretical framework and data analysis tools, to our joint project at the interface between physics and biology.
Collaborator Contribution Axel Behrens is providing his mouse genetics expertise and Chris Dunsby his microscopy expertise.
Impact This is a multidisciplinary collaboration between physics and biology.
Start Year 2019
 
Description Collaboration with Axel Behrens and Chris Dunsby 
Organisation Imperial College London
Country United Kingdom 
Sector Academic/University 
PI Contribution I contribute my expertise to establish a theoretical framework and data analysis tools, to our joint project at the interface between physics and biology.
Collaborator Contribution Axel Behrens is providing his mouse genetics expertise and Chris Dunsby his microscopy expertise.
Impact This is a multidisciplinary collaboration between physics and biology.
Start Year 2019
 
Title Fiji plugin, Deforming Mesh 3D 
Description DM3D an interactive plugin for creating and deforming meshes, and ActiveUnetSegmentation a tensorflow implementation of a 3D Unet. 
Type Of Technology Software 
Year Produced 2023 
Open Source License? Yes  
Impact This software is being applied to track cell membrane and nucleus in 3D time-lapse image acquisition of cancer organoids. 
URL https://franciscrickinstitute.github.io/dm3d-pages/tutorial.html
 
Title IAS 
Description Main code of the project "Interacting Active Surfaces" and follows the ideas in the manuscript: https://doi.org/10.1101/2022.03.21.484343 
Type Of Technology Software 
Year Produced 2022 
Open Source License? Yes  
Impact This new finite element simulation methods of interacting active surfaces, can be used to simulate cell aggregates. 
URL https://github.com/torressancheza/ias