New Capability for Spatial Molecular Imaging at King's College London
Lead Research Organisation:
King's College London
Department Name: Craniofacial Dev and Stem Cell Biology
Abstract
In recent years, advances in technology have provided researchers with the opportunity to map the distribution of many molecules simultaneously within a tissue. CosMx Spatial Molecular Imager is one of the newest generation instruments that can for the first time map the location of thousands of molecules at a time within individual cells in a 3D context.
In this proposal, we intend to purchase a CosMx, so that we can use it to enhance our understanding of how individual cells interact with their neighbours and their environment, and how cells organise themselves into tissues and organs. Ultimately, this spatial information will provide insights into biological functions necessary to human life. Our research aims to dig deeper into the study of complex interactions between cells and the way in which their interaction may fail. This will further our knowledge of how humans develop, and how diseases arise and progress. It will help us build better treatments and new therapies, such as those to regenerate lost organ function.
We have circulated a survey to research groups within King's College London to gauge the need for this instrument. Based on the survey's results, 50 academics across 19 departments and 3 faculties will use CosMx to explore over 1000 samples and, in turn,advance healthcare research. By acquiring this instrument and setting up the infrastructure to analyse data from CosMx, we will enable an unrivalled body of knowledge. These projects include the development of new methods for medical research, improving understanding of the interaction between cells, developing knowledge for cancer, cardiovascular and neurodegenerative diseases, as well as identifying new drugs and approaches to regenerate organs and restore their original functionality.
At King's College London, we have established other technologies that are complementary to CosMx. We plan to establish a new facility which will include CosMx, so researchers will be able to easily access it. We will also promote the capability of this state-of-the-art instrument to researchers at King's College London, and throughout the local area of London and SE of England. Our objective is to maximise the benefits of this instrument for the research community. King's College London is highly supportive of this initiative providing a 20% contribution over the cost of instrument acquisition and substantial support for its long term sustainability. Moreover, this acquisition will promote the potential of uniquely qualified post-doctoral fellows and technical and research technical professionals to develop in their careers.
In this proposal, we intend to purchase a CosMx, so that we can use it to enhance our understanding of how individual cells interact with their neighbours and their environment, and how cells organise themselves into tissues and organs. Ultimately, this spatial information will provide insights into biological functions necessary to human life. Our research aims to dig deeper into the study of complex interactions between cells and the way in which their interaction may fail. This will further our knowledge of how humans develop, and how diseases arise and progress. It will help us build better treatments and new therapies, such as those to regenerate lost organ function.
We have circulated a survey to research groups within King's College London to gauge the need for this instrument. Based on the survey's results, 50 academics across 19 departments and 3 faculties will use CosMx to explore over 1000 samples and, in turn,advance healthcare research. By acquiring this instrument and setting up the infrastructure to analyse data from CosMx, we will enable an unrivalled body of knowledge. These projects include the development of new methods for medical research, improving understanding of the interaction between cells, developing knowledge for cancer, cardiovascular and neurodegenerative diseases, as well as identifying new drugs and approaches to regenerate organs and restore their original functionality.
At King's College London, we have established other technologies that are complementary to CosMx. We plan to establish a new facility which will include CosMx, so researchers will be able to easily access it. We will also promote the capability of this state-of-the-art instrument to researchers at King's College London, and throughout the local area of London and SE of England. Our objective is to maximise the benefits of this instrument for the research community. King's College London is highly supportive of this initiative providing a 20% contribution over the cost of instrument acquisition and substantial support for its long term sustainability. Moreover, this acquisition will promote the potential of uniquely qualified post-doctoral fellows and technical and research technical professionals to develop in their careers.
Technical Summary
We want to acquire a new capability for spatial molecular imaging at King's College London, to support the large community of researchers relying on spatial biology for their cellular and molecular medicine research. In particular, we plan to acquire a nanoString CosMx Spatial Molecular Imager. This instrument combines the power of high-multiplex profiling with high-resolution imaging to analyse up to one thousand RNAs or one hundred proteins within single cells in morphologically intact tissue samples. The technology is based on highly multiplexed in-situ hybridisation. RNA or protein targets are identified through hybridisation with base-paired probes or antibodies labelled with unique barcodes, followed by barcode readout with rounds of fluorescent probe imaging. Each RNA or protein appears as a single spot and is digitally quantified by counting the number of imaged spots. The encoding scheme has 64-bit (4-colors X 16 cycles) that assign 1020 codes allowing error detection and correction, yielding high accuracy and sensitivity. The chemistry involves no reverse transcription or amplification for high detection efficiency and unbiased quantification. The platform is capable of profiling RNA and protein down to sub-cellular levels in cell samples and multiple tissue types, including formalin-fixed paraffin-embedded and fresh frozen samples. The instrument allows direct use of pathology lab-standard glass slides.
CosMx is accompanied by the AtoMx cloud data storage and analysis software with an intuitive interface. Its data analyses include modules for QC normalisation, dimension reduction, UMAP/tSNE calculation and visualisation, cell typing (with marker identification), and spatial clustering (HMRF specific type). Additional modules are available for differential expression, cell proximity, signalling pathway analysis, ligand-receptor co-expression, and protein data analysis. Integration of user-designed modules and newly developed tools are supported.
CosMx is accompanied by the AtoMx cloud data storage and analysis software with an intuitive interface. Its data analyses include modules for QC normalisation, dimension reduction, UMAP/tSNE calculation and visualisation, cell typing (with marker identification), and spatial clustering (HMRF specific type). Additional modules are available for differential expression, cell proximity, signalling pathway analysis, ligand-receptor co-expression, and protein data analysis. Integration of user-designed modules and newly developed tools are supported.
Organisations
- King's College London (Lead Research Organisation, Project Partner)
- QUEEN MARY UNIVERSITY OF LONDON (Collaboration)
- Lund University (Collaboration)
- Francis Crick Institute (Collaboration)
- Unilever (Collaboration)
- Helmholtz Association of German Research Centres (Collaboration)
- The Wellcome Trust Sanger Institute (Collaboration)
- KING'S COLLEGE LONDON (Collaboration)
- NanoString Technologies, Inc. (Project Partner)
Publications

Lau H
(2023)
Adipose-enriched peri-tumoral stroma, in contrast to myofibroblast-enriched stroma, prognosticates poorer survival in breast cancers
in npj Breast Cancer

Verghese G
(2023)
Computational pathology in cancer diagnosis, prognosis, and prediction - present day and prospects.
in The Journal of pathology

Verghese G
(2023)
Multiscale deep learning framework captures systemic immune features in lymph nodes predictive of triple negative breast cancer outcome in large-scale studies.
in The Journal of pathology
Description | We succesfully set up the spatial biology facility providing services for spatial transcriptomics and proteomics to the research community at King's and more broadly across the local region. We have also set up the spatial biology network to share advances in spatial bioogy and best practices and as a space to provide and find expertise related to spatial biology. We have supported 14 grant proposals, and secured funding for 1 grant proposal. |
Exploitation Route | The spatial biology facility is openly accessible to the community of researchers interested in the topic and has supported numerous project, with many more set to be supported in the coming months. Industrial collaborations (e.g. unilever) are being underpinned by the facility. |
Sectors | Healthcare Pharmaceuticals and Medical Biotechnology |
URL | http://spatialbiologyfacility.co.uk |
Title | webatlas to investigate spatial transcriptomics |
Description | webatlas tool |
Type Of Material | Technology assay or reagent |
Year Produced | 2024 |
Provided To Others? | Yes |
Impact | tool to be used for the wider spatial biology community |
Description | Analyses of spatial transcriptomics data |
Organisation | Helmholtz Association of German Research Centres |
Department | Helmholtz Zentrum Munchen |
Country | Germany |
Sector | Academic/University |
PI Contribution | We created spatial transcriptomics data of >100 triple negative breast cancer pre and post NACT |
Collaborator Contribution | complex integrative analyses |
Impact | paper in preparation |
Start Year | 2023 |
Description | Analyses of spatial transcriptomics data |
Organisation | The Wellcome Trust Sanger Institute |
Country | United Kingdom |
Sector | Charity/Non Profit |
PI Contribution | We have created spatial transcriptomics data of >100 triple negative breast cancers pre and post NACT. |
Collaborator Contribution | Webatlas of spatial transcriptomics |
Impact | online tool |
Start Year | 2023 |
Description | Establishing methodology and best practices |
Organisation | King's College London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | The critical components and key disciplines (e.g. histology, image analysis, bioinformatics, and molecular biology) required for successfully generating spatial transcriptomics data is often overlooked. Moreover, information on the technical and analytical aspects of spatial transcriptomics remains lacking within the public domain. We are in the unique position of having processed over 300 samples from 10 different tissue types. As such we are well placed to perform an in-depth assessment of tissue quality assurance, data quality assurance and analytical approaches ahat we feed back to the community. led by Roman Laddach, we offer 2-hour workshops to our users to provide them with the basic tools to analyse and inspect spatial transcriptomics data. |
Collaborator Contribution | Partners within King's and beyond have provided the tissues for the generation of data and participate in the workshops. |
Impact | N/A |
Start Year | 2023 |
Description | London Genomics Network Membership |
Organisation | Francis Crick Institute |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | The Spatial Biology Facility has joined the London Genomics Network an initiative created in 2019 to promote interactions between the genomics facilities in London. Together with Dr Jerome Nicod, Head of Advanced Sequencing at The Francis Crick Institute, we are in the process of organising Spatial Technologies User Meetings, the first planned for October 2024. The aim of these meetings is to bring together spatial transcriptomics experts from the genomic facilities in London to establish standard operating procedures and best practices. |
Collaborator Contribution | The London Genomics Network an initiative created in 2019 to promote interactions between the genomics facilities in London. |
Impact | Spatial Technologies User Meetings, the first planned for October 2024. |
Start Year | 2024 |
Description | Spatial Biology Facility |
Organisation | Francis Crick Institute |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | The facility provides data generation and analysis for spatial biology samples. Since August 2023, the Spatial Biology Facility has performed 10 CosMx runs, encompassing a total of 31 slides and 285 tissues. On average, a CosMx run took takes 6.69 days from the moment reporter cycling starts, with the shortest and longest run recorded at 5.42 and 10.76 days, respectively. A total of 10 different tissue types have been processed to date, illustrating the wide range of usability within King's College London, as well as the international wider research community (Sweden). the Spatial Biology Facility has facilitated 13 research groups of which 11 were within King's College London ADD THE OTHER 2. In the coming months, we are expecting projects from an additional 3 research groups LIST THEM. An overview of current users is provided in Table 2. In addition to providing CosMx as a service, we regularly provide support to researchers by discussing their research question, choosing the most applicable spatial transcriptomics platform, and designing appropriate, feasible, and cost-effective experiments. The Spatial Biology Facility has been listed as a service provider and/or collaborator in 14 grant proposal and 1 research proposal has been funded. The Spatial Biology Facility is a collaborator for the Cancer Grand Challenge on Cancer Inequities, a collaboration betweenQueen Mary University of London and King's College London where the facility is contributing processing and analysing TMAs from the TRACERx Lung Study. Further collaborations beyond King's have been established with The Francis Crick Institute for spatial transcriptomics of lymph nodes, both from human and mice, in relation to triple-negative breast cancer metastasis. More recently, we have established a collaboration with Unilever and Lund University. |
Collaborator Contribution | The partners are accessing the facility for their spatial biology needs, providing the resources to insure its long-term sustainability. The partnerships with the facility are close collaborations where the facility provides the required expertise in data generation and the bioinformatics analysis. |
Impact | one succesful grant application. |
Start Year | 2023 |
Description | Spatial Biology Facility |
Organisation | King's College London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | The facility provides data generation and analysis for spatial biology samples. Since August 2023, the Spatial Biology Facility has performed 10 CosMx runs, encompassing a total of 31 slides and 285 tissues. On average, a CosMx run took takes 6.69 days from the moment reporter cycling starts, with the shortest and longest run recorded at 5.42 and 10.76 days, respectively. A total of 10 different tissue types have been processed to date, illustrating the wide range of usability within King's College London, as well as the international wider research community (Sweden). the Spatial Biology Facility has facilitated 13 research groups of which 11 were within King's College London ADD THE OTHER 2. In the coming months, we are expecting projects from an additional 3 research groups LIST THEM. An overview of current users is provided in Table 2. In addition to providing CosMx as a service, we regularly provide support to researchers by discussing their research question, choosing the most applicable spatial transcriptomics platform, and designing appropriate, feasible, and cost-effective experiments. The Spatial Biology Facility has been listed as a service provider and/or collaborator in 14 grant proposal and 1 research proposal has been funded. The Spatial Biology Facility is a collaborator for the Cancer Grand Challenge on Cancer Inequities, a collaboration betweenQueen Mary University of London and King's College London where the facility is contributing processing and analysing TMAs from the TRACERx Lung Study. Further collaborations beyond King's have been established with The Francis Crick Institute for spatial transcriptomics of lymph nodes, both from human and mice, in relation to triple-negative breast cancer metastasis. More recently, we have established a collaboration with Unilever and Lund University. |
Collaborator Contribution | The partners are accessing the facility for their spatial biology needs, providing the resources to insure its long-term sustainability. The partnerships with the facility are close collaborations where the facility provides the required expertise in data generation and the bioinformatics analysis. |
Impact | one succesful grant application. |
Start Year | 2023 |
Description | Spatial Biology Facility |
Organisation | Lund University |
Country | Sweden |
Sector | Academic/University |
PI Contribution | The facility provides data generation and analysis for spatial biology samples. Since August 2023, the Spatial Biology Facility has performed 10 CosMx runs, encompassing a total of 31 slides and 285 tissues. On average, a CosMx run took takes 6.69 days from the moment reporter cycling starts, with the shortest and longest run recorded at 5.42 and 10.76 days, respectively. A total of 10 different tissue types have been processed to date, illustrating the wide range of usability within King's College London, as well as the international wider research community (Sweden). the Spatial Biology Facility has facilitated 13 research groups of which 11 were within King's College London ADD THE OTHER 2. In the coming months, we are expecting projects from an additional 3 research groups LIST THEM. An overview of current users is provided in Table 2. In addition to providing CosMx as a service, we regularly provide support to researchers by discussing their research question, choosing the most applicable spatial transcriptomics platform, and designing appropriate, feasible, and cost-effective experiments. The Spatial Biology Facility has been listed as a service provider and/or collaborator in 14 grant proposal and 1 research proposal has been funded. The Spatial Biology Facility is a collaborator for the Cancer Grand Challenge on Cancer Inequities, a collaboration betweenQueen Mary University of London and King's College London where the facility is contributing processing and analysing TMAs from the TRACERx Lung Study. Further collaborations beyond King's have been established with The Francis Crick Institute for spatial transcriptomics of lymph nodes, both from human and mice, in relation to triple-negative breast cancer metastasis. More recently, we have established a collaboration with Unilever and Lund University. |
Collaborator Contribution | The partners are accessing the facility for their spatial biology needs, providing the resources to insure its long-term sustainability. The partnerships with the facility are close collaborations where the facility provides the required expertise in data generation and the bioinformatics analysis. |
Impact | one succesful grant application. |
Start Year | 2023 |
Description | Spatial Biology Facility |
Organisation | Queen Mary University of London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | The facility provides data generation and analysis for spatial biology samples. Since August 2023, the Spatial Biology Facility has performed 10 CosMx runs, encompassing a total of 31 slides and 285 tissues. On average, a CosMx run took takes 6.69 days from the moment reporter cycling starts, with the shortest and longest run recorded at 5.42 and 10.76 days, respectively. A total of 10 different tissue types have been processed to date, illustrating the wide range of usability within King's College London, as well as the international wider research community (Sweden). the Spatial Biology Facility has facilitated 13 research groups of which 11 were within King's College London ADD THE OTHER 2. In the coming months, we are expecting projects from an additional 3 research groups LIST THEM. An overview of current users is provided in Table 2. In addition to providing CosMx as a service, we regularly provide support to researchers by discussing their research question, choosing the most applicable spatial transcriptomics platform, and designing appropriate, feasible, and cost-effective experiments. The Spatial Biology Facility has been listed as a service provider and/or collaborator in 14 grant proposal and 1 research proposal has been funded. The Spatial Biology Facility is a collaborator for the Cancer Grand Challenge on Cancer Inequities, a collaboration betweenQueen Mary University of London and King's College London where the facility is contributing processing and analysing TMAs from the TRACERx Lung Study. Further collaborations beyond King's have been established with The Francis Crick Institute for spatial transcriptomics of lymph nodes, both from human and mice, in relation to triple-negative breast cancer metastasis. More recently, we have established a collaboration with Unilever and Lund University. |
Collaborator Contribution | The partners are accessing the facility for their spatial biology needs, providing the resources to insure its long-term sustainability. The partnerships with the facility are close collaborations where the facility provides the required expertise in data generation and the bioinformatics analysis. |
Impact | one succesful grant application. |
Start Year | 2023 |
Description | Spatial Biology Facility |
Organisation | Unilever |
Country | United Kingdom |
Sector | Private |
PI Contribution | The facility provides data generation and analysis for spatial biology samples. Since August 2023, the Spatial Biology Facility has performed 10 CosMx runs, encompassing a total of 31 slides and 285 tissues. On average, a CosMx run took takes 6.69 days from the moment reporter cycling starts, with the shortest and longest run recorded at 5.42 and 10.76 days, respectively. A total of 10 different tissue types have been processed to date, illustrating the wide range of usability within King's College London, as well as the international wider research community (Sweden). the Spatial Biology Facility has facilitated 13 research groups of which 11 were within King's College London ADD THE OTHER 2. In the coming months, we are expecting projects from an additional 3 research groups LIST THEM. An overview of current users is provided in Table 2. In addition to providing CosMx as a service, we regularly provide support to researchers by discussing their research question, choosing the most applicable spatial transcriptomics platform, and designing appropriate, feasible, and cost-effective experiments. The Spatial Biology Facility has been listed as a service provider and/or collaborator in 14 grant proposal and 1 research proposal has been funded. The Spatial Biology Facility is a collaborator for the Cancer Grand Challenge on Cancer Inequities, a collaboration betweenQueen Mary University of London and King's College London where the facility is contributing processing and analysing TMAs from the TRACERx Lung Study. Further collaborations beyond King's have been established with The Francis Crick Institute for spatial transcriptomics of lymph nodes, both from human and mice, in relation to triple-negative breast cancer metastasis. More recently, we have established a collaboration with Unilever and Lund University. |
Collaborator Contribution | The partners are accessing the facility for their spatial biology needs, providing the resources to insure its long-term sustainability. The partnerships with the facility are close collaborations where the facility provides the required expertise in data generation and the bioinformatics analysis. |
Impact | one succesful grant application. |
Start Year | 2023 |
Description | Spatial Biology Network at King's College London |
Organisation | King's College London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | The spatial biology network gathers more than 130 researchers across King's to share best practice across spatial biology and provide updates on progress in the field at the local and international level. A key initative is the Spatial Biology Network Seminar Series designed to bring together researchers from key disciplines essential for spatial biology, but also to educate researchers that are new to the field of spatial biology, forge collaborations, and give early career researchers an opportunity to present their work. To encourage forging these collaborations as well as enable discussions, seminars are followed by a networking session which are sponsored by industry, including NanoString, 10x Genomics, Standard BioTools and Waters Corp. Seminars have usually 40 to 60 attendees. Through the Spatial Biology Network, we have also hosted the Spatial Biology and Imaging Symposium, a 1-day event, with sponsorship from by CRUK, The Francis Crick Partnership Networking Fund, 10x Genomics, Akoya Biosciences and King's College London. With over 150 attendees, this event showcased diverse spatial technologies and their applicability in biomedical research. Speakers included Professor Erik Sahai (The Francis Crick Institute) and Dr Stuart McDonald (Queen Mary University of London), with Dr Mihaela Angelova and Professor Charlie Swanton delivering the keynote on how the spatial architecture in the TRACERx Lung Study informs clinical outcome. The Spatial Biology network offers regular focussed workshops to train the local research community in data analysis for spatial biology. |
Collaborator Contribution | Participants to the network contribute their expertise in spatial biology and share best practices. |
Impact | Seminar series on spatial biology. Workshops on CosMx data analysis. Spatial Biology day @ King's. |
Start Year | 2023 |
Description | Spatial Transcriptomics of breast cancer of the SCAN-B study |
Organisation | Lund University |
Country | Sweden |
Sector | Academic/University |
PI Contribution | My team is running the experimental analyses of breast cancer TMA of the SCAN-B study on the nanoString CosMX |
Collaborator Contribution | SCAN-B team has created the TMA of breast cancer TMA and will perform the analytical analyses of the CosMX data. |
Impact | Multi-disciplinary collaboration btw bioinformatician, triple negative breast cancer experts, clinicians |
Start Year | 2023 |
Description | Spatial Transcriptomics of lung cancer of the TracerX study |
Organisation | Queen Mary University of London |
Department | Barts Cancer Institute |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | My team has trained the collaborators in experimental and analytical approaches for spatial transcriptomics for lung cancer tissue microarray of the TracerX study using the nanoString GeoMX DSP. |
Collaborator Contribution | QMUL team is performing the staining and will has trained the collaborators in experimental and analytical approaches for spatial transcriptomics. |
Impact | Multi-disciplinary collaboration - experts in bioinformatics, metastasis, vascular biology |
Start Year | 2023 |
Description | Spatial Biology Network |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Postgraduate students |
Results and Impact | Sparked interest in spatial biology |
Year(s) Of Engagement Activity | 2023 |