> Detailanzeige

Frobel, Joana; Božić, Tanja; Lenz, Michael; Uciechowski, Peter; Han, Yang; Herwartz, Reinhild; Strathmann, Klaus; Isfort, Susanne; Panse, Jens; Esser, André; Birkhofer, Carina; Gerstenmaier, Uwe; Kraus, Thomas; Rink, Lothar; Koschmieder, Steffen; Wagner, Wolfgang

Leukocyte Counts Based on DNA Methylation at Individual Cytosines

Literatur-
verwaltung

Zur
Merkliste

Lösche von
Merkliste

Per Whatsapp teilen

Schließen

Merkliste



Sie können Bookmarks mittels Listen verwalten, loggen Sie sich dafür bitte in Ihr SLUB Benutzerkonto ein.
  • Medientyp: E-Artikel
  • Titel: Leukocyte Counts Based on DNA Methylation at Individual Cytosines
  • Beteiligte: Frobel, Joana; Božić, Tanja; Lenz, Michael; Uciechowski, Peter; Han, Yang; Herwartz, Reinhild; Strathmann, Klaus; Isfort, Susanne; Panse, Jens; Esser, André; Birkhofer, Carina; Gerstenmaier, Uwe; Kraus, Thomas; Rink, Lothar; Koschmieder, Steffen; Wagner, Wolfgang
  • Erschienen: Oxford University Press (OUP), 2018
  • Erschienen in: Clinical Chemistry
  • Sprache: Englisch
  • DOI: 10.1373/clinchem.2017.279935
  • ISSN: 0009-9147; 1530-8561
  • Schlagwörter: Biochemistry (medical) ; Clinical Biochemistry
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:title>Abstract</jats:title> <jats:sec> <jats:title>BACKGROUND</jats:title> <jats:p>White blood cell counts are routinely measured with automated hematology analyzers, by flow cytometry, or by manual counting. Here, we introduce an alternative approach based on DNA methylation (DNAm) at individual CG dinucleotides (CpGs).</jats:p> </jats:sec> <jats:sec> <jats:title>METHODS</jats:title> <jats:p>We identified candidate CpGs that were nonmethylated in specific leukocyte subsets. DNAm levels (ranging from 0% to 100%) were analyzed by pyrosequencing and implemented into deconvolution algorithms to determine the relative composition of leukocytes. For absolute quantification of cell numbers, samples were supplemented with a nonmethylated reference DNA.</jats:p> </jats:sec> <jats:sec> <jats:title>RESULTS</jats:title> <jats:p>Conventional blood counts correlated with DNAm at individual CpGs for granulocytes (r = −0.91), lymphocytes (r = −0.91), monocytes (r = −0.74), natural killer (NK) cells (r = −0.30), T cells (r = −0.73), CD4+ T cells (r = −0.41), CD8+ T cells (r = −0.88), and B cells (r = −0.66). Combination of these DNAm measurements into the “Epi-Blood-Count” provided similar precision as conventional methods in various independent validation sets. The method was also applicable to blood samples that were stored at 4 °C for 7 days or at −20 °C for 3 months. Furthermore, absolute cell numbers could be determined in frozen blood samples upon addition of a reference DNA, and the results correlated with measurements of automated analyzers in fresh aliquots (r = 0.84).</jats:p> </jats:sec> <jats:sec> <jats:title>CONCLUSIONS</jats:title> <jats:p>White blood cell counts can be reliably determined by site-specific DNAm analysis. This approach is applicable to very small blood volumes and frozen samples, and it allows for more standardized and cost-effective analysis in clinical application.</jats:p> </jats:sec>