The "SEISMIC" facility for Spatially rEsolved sIngle and Sub-cellular oMICs
Lead Research Organisation:
University of Surrey
Department Name: Chemistry
Abstract
An exciting innovation in the analysis of a biological system is sampling on a very small nanoscale using a specialised needle (nano capillary sampling). Cells are located under a specialised (confocal) microscope and cells or even small parts of cells can be sampled. This uniquely provides spatial information and can be performed on living cells which will allow scientists to understand important biological phenomenon such as how cells communicate with each other and how cells become cancerous.
Our resource which we have called SEISMIC will provide an automated platform based on nano capillary sampling. We will work with users within the UK research community to extract single cells and their sub- cellular compartments under a microscope. The extracted cellular materials can be analysed using a variety of approaches such as mass spectrometry which separates molecules by mass and charge to profile for example drugs, metabolites and lipids or apply other techniques to profile nucleic acids. This will allow an unprecedented view of cells and can be applied to a plethora of biological questions which inform us on for example the rules of life or how pathogens cause disease or how cells age, information which can be harnessed to develop new therapeutic interventions which will ultimately benefit society.
The SEISMIC resource will be available free of charge to BBSRC users for the first 36 months, either with or without downstream mass spectrometry analysis. Users will be able to perform their experiments using the facilities at Surrey, and hands on access to SEISMIC will be supported through travel grants. This facility will be the first of its kind in the UK and therefore will play a role in maintaining world leading science in the UK.
Our resource which we have called SEISMIC will provide an automated platform based on nano capillary sampling. We will work with users within the UK research community to extract single cells and their sub- cellular compartments under a microscope. The extracted cellular materials can be analysed using a variety of approaches such as mass spectrometry which separates molecules by mass and charge to profile for example drugs, metabolites and lipids or apply other techniques to profile nucleic acids. This will allow an unprecedented view of cells and can be applied to a plethora of biological questions which inform us on for example the rules of life or how pathogens cause disease or how cells age, information which can be harnessed to develop new therapeutic interventions which will ultimately benefit society.
The SEISMIC resource will be available free of charge to BBSRC users for the first 36 months, either with or without downstream mass spectrometry analysis. Users will be able to perform their experiments using the facilities at Surrey, and hands on access to SEISMIC will be supported through travel grants. This facility will be the first of its kind in the UK and therefore will play a role in maintaining world leading science in the UK.
Technical Summary
The ability to carry out "omics" analysis at the single cell level is already significantly enhancing our understanding of cellular properties and interactions. However, current approaches do not allow spatial resolution, which is critical for understanding important biology that happens at the sub-cellular level, or spatial phenomena that govern cell survival, proliferation, development, or death. We will manage the UK's first facility for spatially resolved single cell "omics", SEISMIC, to improve animal and human health.
An exciting innovation in bioanalysis is nano-capillary sampling. Cells are located under a confocal microscope and either a whole cell or sub-cellular components are aspirated into a nano-capillary and then either sprayed directly into a mass spectrometer or sampled into a 96 well plate. This uniquely provides the opportunity to sample cells under a microscope and retain morphology and positional information, a feature that is not available in other systems. This is a platform technology for single and sub-cellular extraction that can be coupled to ANY downstream "omics" measurements. We and others have already applied this technology coupled to mass spectrometry for metabolic profiling in live mammalian and plant cells and their sub-cellular compartments and is also compatible with transcriptomics, proteomics, and genomics.
The SEISMIC resource will be a free service for the first 36 months to BBSRC users. This resource will be provided flexibly, either with or without mass spectrometry "omics" analysis as informed by our community survey. Users will be able to culture their own cells using the facilities at Surrey, and we have budgeted for travel grants to enable this. It is envisaged that most downstream "omics" analysis will take place at Surrey. However our survey identified some users with an interest in carrying out downstream analysis in their own laboratories which the flexibility of the facility will easily allow.
An exciting innovation in bioanalysis is nano-capillary sampling. Cells are located under a confocal microscope and either a whole cell or sub-cellular components are aspirated into a nano-capillary and then either sprayed directly into a mass spectrometer or sampled into a 96 well plate. This uniquely provides the opportunity to sample cells under a microscope and retain morphology and positional information, a feature that is not available in other systems. This is a platform technology for single and sub-cellular extraction that can be coupled to ANY downstream "omics" measurements. We and others have already applied this technology coupled to mass spectrometry for metabolic profiling in live mammalian and plant cells and their sub-cellular compartments and is also compatible with transcriptomics, proteomics, and genomics.
The SEISMIC resource will be a free service for the first 36 months to BBSRC users. This resource will be provided flexibly, either with or without mass spectrometry "omics" analysis as informed by our community survey. Users will be able to culture their own cells using the facilities at Surrey, and we have budgeted for travel grants to enable this. It is envisaged that most downstream "omics" analysis will take place at Surrey. However our survey identified some users with an interest in carrying out downstream analysis in their own laboratories which the flexibility of the facility will easily allow.
Organisations
- University of Surrey (Lead Research Organisation)
- Rosalind Franklin Institute (Collaboration)
- University of Nottingham (Collaboration)
- Thermo Fisher Scientific (Collaboration)
- KING'S COLLEGE LONDON (Collaboration)
- UNIVERSITY OF MANCHESTER (Collaboration)
- Waters Corporation (Collaboration)
- Queen Mary University of London (Collaboration)
- University of Cape Town (Collaboration)
- THE PIRBRIGHT INSTITUTE (Collaboration)
- GlaxoSmithKline (GSK) (Collaboration)
- International Atomic Energy Agency (Collaboration)
- Micromass UK Ltd (Waters Corporation) (Project Partner)
- Yokogawa Electric Corporation (Project Partner)
Publications
Davison C
(2023)
Expanding the boundaries of atomic spectroscopy at the single-cell level: critical review of SP-ICP-MS, LIBS and LA-ICP-MS advances for the elemental analysis of tissues and single cells.
in Analytical and bioanalytical chemistry
Kontiza A
(2024)
Single-Cell Lipidomics: An Automated and Accessible Microfluidic Workflow Validated by Capillary Sampling.
in Analytical chemistry
Saunders KDG
(2023)
Spatial single cell metabolomics: Current challenges and future developments.
in Current opinion in chemical biology
Saunders KDG
(2023)
Single-Cell Lipidomics Using Analytical Flow LC-MS Characterizes the Response to Chemotherapy in Cultured Pancreatic Cancer Cells.
in Analytical chemistry
Von Gerichten J
(2024)
Challenges in Lipidomics Biomarker Identification: Avoiding the Pitfalls and Improving Reproducibility
in Metabolites
Von Gerichten J
(2024)
Single-Cell Untargeted Lipidomics Using Liquid Chromatography and Data-Dependent Acquisition after Live Cell Selection.
in Analytical chemistry
Related Projects
| Project Reference | Relationship | Related To | Start | End | Award Value |
|---|---|---|---|---|---|
| BB/W019116/1 | 01/02/2023 | 30/07/2025 | £1,536,901 | ||
| BB/W019116/2 | Transfer | BB/W019116/1 | 31/07/2025 | 31/01/2028 | £1,156,447 |
| Description | We have determined that single cell lipidomics profiles can be measured using a number of different mass spectrometry platforms. We have found that single cell lipidomics profiles change in response to biological stimuli such as stressors, drug use and irradiation We have developed methodology for single cell metabolomics We have documented and published a protocol for reproducible capillary sampling and single cell lipidomics We have discovered that single cell lipidomics profiles are similar for two different cell isolation methods We have demonstrated proof of concept for sub cellular proteomics We have demonstrated proof of concept for sub cellular metallomics |
| Exploitation Route | We are working with members of the BBSRC community to disseminate our methodologies and apply them to various biological problems. |
| Sectors | Agriculture Food and Drink Environment Healthcare Manufacturing including Industrial Biotechology Pharmaceuticals and Medical Biotechnology |
| Description | We have developed white papers, application notes and delivered seminars on behalf of Thermo Fisher, Sciex, Iota Sciences and Yokogawa Corporation. These have been used to increase instrument sales and improve brand awareness. We have been shortlisted as finalists for a Collaborate to Innovate award. |
| First Year Of Impact | 2023 |
| Sector | Healthcare,Pharmaceuticals and Medical Biotechnology |
| Impact Types | Economic |
| Description | EPSRC IDL award with NPL Development of novel delivery platforms and spatially resolved protocols for cellular imaging of prospective therapeutic radiopharmaceuticals |
| Amount | £150,000 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | |
| Description | EPSRC MeV SIMS |
| Amount | £3,000,000 (GBP) |
| Funding ID | EP/Y015134/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2024 |
| End | 02/2027 |
| Description | Grand Challenge Award MSI |
| Amount | £45,000 (GBP) |
| Organisation | Community of analytical measurement sciences |
| Sector | Private |
| Country | United Kingdom |
| Start | 07/2024 |
| End | 08/2025 |
| Description | Single cell lipidomics |
| Amount | £10,000 (GBP) |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 07/2023 |
| End | 01/2024 |
| Description | Sonobio: Microbes that listen |
| Amount | £947,000 (GBP) |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2025 |
| Description | Travel grant |
| Amount | £500 (GBP) |
| Organisation | Analytical Chemistry Trust Fund of the Royal Society of Chemistry |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 06/2023 |
| End | 08/2024 |
| Description | Wolfson Capital Grant |
| Amount | £500,000 (GBP) |
| Organisation | The Wolfson Foundation |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 03/2023 |
| End | 12/2026 |
| Title | Lipidomics LC-MS analysis support tools for outlier detection |
| Description | Identification of features with high levels of confidence in liquid chromatography-mass spectrometry (LC MS) lipidomics research is an essential part of biomarker discovery, but existing software platforms can give inconsistent results, even from identical spectral data. This poses a clear challenge for reproducibility in bioinformatics work, and highlights the importance of data-driven outlier detection in assessing spectral outputs - here demonstrated using a machine learning approach based on support vector machine regression combined with leave-one-out cross validation - as well as manual curation, in order to identify software-driven errors driven by closely related lipids and by co-elution issues. The lipidomics case study dataset used in this work analysed a lipid extraction of a human pancreatic adenocarcinoma cell line (PANC-1, Merck, UK, cat no. 87092802) analysed using an Acquity M-Class UPLC system (Waters, UK) coupled to a ZenoToF 7600 mass spectrometer (Sciex, UK). Raw output files are included alongside processed data using MS DIAL (v4.9.221218) and Lipostar (v2.1.4) and a Jupyter notebook with Python code to analyse the outputs for outlier detection. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/doi/10.5281/zenodo.10889321 |
| Title | Lipidomics LC-MS analysis support tools for outlier detection |
| Description | Identification of features with high levels of confidence in liquid chromatography-mass spectrometry (LC MS) lipidomics research is an essential part of biomarker discovery, but existing software platforms can give inconsistent results, even from identical spectral data. This poses a clear challenge for reproducibility in bioinformatics work, and highlights the importance of data-driven outlier detection in assessing spectral outputs - here demonstrated using a machine learning approach based on support vector machine regression combined with leave-one-out cross validation - as well as manual curation, in order to identify software-driven errors driven by closely related lipids and by co-elution issues. The lipidomics case study dataset used in this work analysed a lipid extraction of a human pancreatic adenocarcinoma cell line (PANC-1, Merck, UK, cat no. 87092802) analysed using an Acquity M-Class UPLC system (Waters, UK) coupled to a ZenoToF 7600 mass spectrometer (Sciex, UK). Raw output files are included alongside processed data using MS DIAL (v4.9.221218) and Lipostar (v2.1.4) and a Jupyter notebook with Python code to analyse the outputs for outlier detection. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/doi/10.5281/zenodo.10889320 |
| Description | Collaboration with Queen Mary University London |
| Organisation | Queen Mary University of London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | We have been providing single cell lipidomics for our collaborators at QMUL. |
| Collaborator Contribution | Our collaborators have been providing cells - they are interested in testing whether they can apply single cell lipidomics to muscle cells to understand healthy ageing. |
| Impact | So far we have demonstrated lipidomics profiles from living muscle cells. |
| Start Year | 2024 |
| Description | Collaboration with RFI |
| Organisation | Rosalind Franklin Institute |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | RFI have sent samples of isolated nuclei for testing for single nuclei lipidomics at our facility. We are working together to determine the feasibility of single nuclei lipidomics analysis |
| Collaborator Contribution | provision of samples and expertise in nuclei isolation. |
| Impact | Multidisciplinary collaboration. |
| Start Year | 2024 |
| Description | Collaboration with University of Cape Town |
| Organisation | University of Cape Town |
| Country | South Africa |
| Sector | Academic/University |
| PI Contribution | The partner is interested in testing whether individual microbes can be sampled using the SS2000. We demonstrated that this can be done |
| Collaborator Contribution | Parnter provided contextual information on application amd helped with experimental design. |
| Impact | Knowledge on sampling bacteria, leading to UKRI interdisciplinary award |
| Start Year | 2024 |
| Description | Collaboration with University of Nottingham |
| Organisation | University of Nottingham |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | University of Nottingham have helped us to find partners for the SEISMIC facility and are sending samples for testing |
| Collaborator Contribution | Sending samples for testing, hosting us for a workshop in nottingham. |
| Impact | We are developing methodologies for lipidomics analysis of different cell lines |
| Start Year | 2024 |
| Description | GSk |
| Organisation | GlaxoSmithKline (GSK) |
| Country | Global |
| Sector | Private |
| PI Contribution | We are comparing different cell sampling methods and relating to the single cell lipid profiles observed. |
| Collaborator Contribution | GSK are funding a studentship on the above topic. They have supplied training and also Nano spray emitter tips and access to high resolution mass spectrometry instrumentation and sampling methods. |
| Impact | Development of materials for publication (currently under reivew) |
| Start Year | 2023 |
| Description | International Atomic Energy Agency |
| Organisation | International Atomic Energy Agency |
| Country | Austria |
| Sector | Charity/Non Profit |
| PI Contribution | We have shared our methodology with researchers around the world through an IAEA sponsored coordinated research programme in single cell irradiation and analysis. |
| Collaborator Contribution | The IAEA has put together a coordinated research programme in single cell irradiation and analysis and invited us to join. THe first meeting was held in Singapore in Septmeber 2023. |
| Impact | First meeting report submitted to the IAEA |
| Start Year | 2023 |
| Description | Kings College London |
| Organisation | King's College London |
| Department | Division of Imaging Sciences and Biomedical Engineering |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Our research team have been performing extraction of mitochondria from SKOV cells , as well as whole cell sampling, and then coupling to ICPMS to demonstrate subcellular metallomics for the first time. |
| Collaborator Contribution | Our Partners at KCL have supplied cells incubated with Thallium for this activity |
| Impact | Multidisciplinary between biology, chemistry and physics. |
| Start Year | 2023 |
| Description | Pirbright Institute Collaboration |
| Organisation | The Pirbright Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Pirbright institute are working with us to establish sub-cellular proteomics, and to explore the potential for single and sub cellular omics to be applied to infected cells. |
| Collaborator Contribution | Pirbright have contributed samples of cells that are stressed and or infected with viruses, for sampling at Surrey. |
| Impact | Various talks including a Thermo webinar |
| Start Year | 2023 |
| Description | Thermo usa |
| Organisation | Thermo Fisher Scientific |
| Country | United States |
| Sector | Private |
| PI Contribution | We have been isolating single cells , shipping and freezeing for measurement at Thermo in the USA, to demosntrate single cell lipidomics |
| Collaborator Contribution | Our partners at Thermo have been using state of the art mass spectrometry instrumentation to demonstrate single cell lipidomics |
| Impact | Talks at conferences aroudn the world |
| Start Year | 2023 |
| Description | University of Manchester |
| Organisation | University of Manchester |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | We have been collecting single cell lipidomics profiles in CaCo2 cells |
| Collaborator Contribution | Partners have been providing cell models for testing |
| Impact | Presentation in China from partner at Conference, journal publication in progress |
| Start Year | 2024 |
| Description | Waters Corporation |
| Organisation | Waters Corporation |
| Department | Waters Corporation |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | We have worked with Waters to develop single cell lipidomics. |
| Collaborator Contribution | Waters have been helping us with mass spectroemtry consumables and software needed to sample very small volumes of material. |
| Impact | Development of methodology for single cell lipidomics |
| Start Year | 2023 |
| Description | Talk at Surrey University Celebrating Surrey Public Event |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Public/other audiences |
| Results and Impact | I gave a talk to the general public about development of analytical science and the benefits it can bring to society. |
| Year(s) Of Engagement Activity | 2024 |
| Description | Talk at Tormead School |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | Talk to school children at local school about analytical chemistry and application in biomedical and forensic science. |
| Year(s) Of Engagement Activity | 2024 |
