Single and few cell analysis for correlative light microscopy, metabolomics, and targeted proteomics
dc.contributor.author | Rima, Luca | |
dc.contributor.author | Berchtold, Christian | |
dc.contributor.author | Arnold, Stefan | |
dc.contributor.author | Fränkl, Andri | |
dc.contributor.author | Sütterlin, Rosmarie | |
dc.contributor.author | Dernick, Gregor | |
dc.contributor.author | Schlotterbeck, Götz | |
dc.contributor.author | Braun, Thomas | |
dc.date.accessioned | 2025-03-24T06:52:08Z | |
dc.date.issued | 2024-08 | |
dc.description.abstract | The interactions of proteins, membranes, nucleic acid, and metabolites shape a cell's phenotype. These interactions are stochastic, and each cell develops differently, making it difficult to synchronize cell populations. Consequently, studying biological processes at the single- or few-cell level is often necessary to avoid signal dilution below the detection limit or averaging over many cells. We have developed a method to study metabolites and proteins from a small number of or even a single adherent eukaryotic cell. Initially, cells are lysed by short electroporation and aspirated with a microcapillary under a fluorescent microscope. The lysate is placed on a carrier slide for further analysis using liquid-chromatography mass spectrometry (LC-MS) and/or reverse-phase protein (RPPA) approach. This method allows for a correlative measurement of (i) cellular structures and metabolites and (ii) cellular structures and proteins on the single-cell level. The correlative measurement of cellular structure by light-microscopy, metabolites by LC-MS, and targeted protein detection by RPPA was possible on the few-cell level. We discuss the method, potential applications, limitations, and future improvements. | |
dc.identifier.doi | 10.1039/d4lc00269e | |
dc.identifier.issn | 1473-0197 | |
dc.identifier.issn | 1473-0189 | |
dc.identifier.uri | https://irf.fhnw.ch/handle/11654/50649 | |
dc.identifier.uri | https://doi.org/10.26041/fhnw-12145 | |
dc.issue | 18 | |
dc.language.iso | en | |
dc.publisher | Royal Society of Chemistry | |
dc.relation.ispartof | Lab on a Chip | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Animals | |
dc.subject | Liquid chromatography | |
dc.subject | Humans | |
dc.subject | Mass spectrometry | |
dc.subject | Metabolomics | |
dc.subject | Microscopy | |
dc.subject | Proteomics | |
dc.subject | Single-cell analysis | |
dc.subject.ddc | 500 - Naturwissenschaften und Mathematik | |
dc.title | Single and few cell analysis for correlative light microscopy, metabolomics, and targeted proteomics | |
dc.type | 01A - Beitrag in wissenschaftlicher Zeitschrift | |
dc.volume | 24 | |
dspace.entity.type | Publication | |
fhnw.InventedHere | Yes | |
fhnw.ReviewType | Anonymous ex ante peer review of a complete publication | |
fhnw.affiliation.hochschule | Hochschule für Life Sciences FHNW | de_CH |
fhnw.affiliation.institut | Institut für Chemie und Bioanalytik | de_CH |
fhnw.openAccessCategory | Hybrid | |
fhnw.pagination | 4321-4332 | |
fhnw.publicationState | Published | |
relation.isAuthorOfPublication | 765e8a9f-9eba-4d50-ba97-9e3f6d1a0967 | |
relation.isAuthorOfPublication | 0bd5de70-5b10-46bf-aaf3-eb79c4eb10be | |
relation.isAuthorOfPublication.latestForDiscovery | 0bd5de70-5b10-46bf-aaf3-eb79c4eb10be |
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