Single and few cell analysis for correlative light microscopy, metabolomics, and targeted proteomics
Lade...
Autor:in (Körperschaft)
Publikationsdatum
08/2024
Typ der Arbeit
Studiengang
Typ
01A - Beitrag in wissenschaftlicher Zeitschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Lab on a Chip
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
24
Ausgabe / Nummer
18
Seiten / Dauer
4321-4332
Patentnummer
Verlag / Herausgebende Institution
Royal Society of Chemistry
Verlagsort / Veranstaltungsort
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
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.
Schlagwörter
Animals, Liquid chromatography, Humans, Mass spectrometry, Metabolomics, Microscopy, Proteomics, Single-cell analysis
Fachgebiet (DDC)
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
1473-0197
1473-0189
1473-0189
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Veröffentlicht
Begutachtung
Peer-Review der ganzen Publikation
Open Access-Status
Hybrid
Lizenz
Zitation
Rima, L., Berchtold, C., Arnold, S., Fränkl, A., Sütterlin, R., Dernick, G., Schlotterbeck, G., & Braun, T. (2024). Single and few cell analysis for correlative light microscopy, metabolomics, and targeted proteomics. Lab on a Chip, 24(18), 4321–4332. https://doi.org/10.1039/d4lc00269e