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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.

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.

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