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Best practices for instrument settings and raw data analysis in plant flow cytometry

P. Koutecký, T. Smith, J. Loureiro, P. Kron

. 2023 ; 103 (12) : 953-966. [pub] 20231008

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články, přehledy

Perzistentní odkaz   https://www.medvik.cz/link/bmc24000435

Grantová podpora
FCT/UIDB/04004/2020 Centro de Ecologia Funcional
RGPIN-2020-05652 Natural Sciences and Engineering Research Council of Canada
CENTRO-01-0145-FEDER-000020 Programa Operacional Regional do Centro

E-zdroje Online Plný text

NLK Free Medical Journals od 2003 do Před 1 rokem
Medline Complete (EBSCOhost) od 2012-06-01 do Před 1 rokem
Wiley Free Content od 2003 do Před 1 rokem

Odkazy

PubMed 37807676
DOI 10.1002/cyto.a.24798
Knihovny.cz E-zdroje

Flow cytometry (FCM) is now the most widely used method to determine ploidy levels and genome size of plants. To get reliable estimates and allow reproducibility of measurements, the methodology should be standardized and follow the best practices in the field. In this article, we discuss instrument calibration and quality control and various instrument and acquisition settings (parameters, flow rate, number of events, scales, use of discriminators, peak positions). These settings must be decided before measurements because they determine the amount and quality of the data and thus influence all downstream analyses. We describe the two main approaches to raw data analysis (gating and histogram modeling), and we discuss their advantages and disadvantages. Finally, we provide a summary of best practice recommendations for data acquisition and raw data analysis in plant FCM.

Citace poskytuje Crossref.org

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