Starch granules in algal cells play an inherent role to shape the popular SSC signal in flow cytometry.


Journal

BMC research notes
ISSN: 1756-0500
Titre abrégé: BMC Res Notes
Pays: England
ID NLM: 101462768

Informations de publication

Date de publication:
29 Oct 2024
Historique:
received: 22 04 2024
accepted: 21 10 2024
medline: 30 10 2024
pubmed: 30 10 2024
entrez: 30 10 2024
Statut: epublish

Résumé

Flow cytometry (FC) is probably the most important technique for single-cell analysis. It's precisely, rapid, and suitable for multidimensional single-cell analysis. The commonly used side scatter (SSC) intensity determined by FC is often interpreted as a measure of the internal cellular complexity of cells. In simple terms, the more structured a cell is, the higher the SSC intensity quantified by FC. Nevertheless, most of the studies that support this interpretation are based on data derived from animal or human cell lines and while it is assumed that the results can also be transferred to plant or algal cell lines, the details remain unclear. The objective of the recent work is to clarify the interpretation of the SSC signal from algal cells. Algal lipid droplets and their starch play an inherent role to shape the popular SSC signal derived from FC. This was shown by a theoretical approach based on Lorenz-Mie theory. These results were supported by experiments with different model cultures of Chlamydomonas reinhardtii in which a high linear correlation was observed between the SSC signal and the 'physical' starch quantity.

Identifiants

pubmed: 39472947
doi: 10.1186/s13104-024-06983-6
pii: 10.1186/s13104-024-06983-6
doi:

Substances chimiques

Starch 9005-25-8

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

327

Informations de copyright

© 2024. The Author(s).

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Auteurs

Michael Sandmann (M)

University of Applied Sciences Neubrandenburg, Brodaer Straße 2, D-17033, Neubrandenburg, Germany. sandmann@hs-nb.de.

Michael Rading (M)

Department of Theory and Bio-Systems, Max Planck Institute of Colloids and Interfaces, 14424, Potsdam, Germany.

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Classifications MeSH