Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,071

The DOI matches its Crossref record.

Letter to the editor

Doležel, J., Bartoš, J., Voglmayr, H., Greilhuber, J.·2003·Cytometry Part A

Abstract

In their recent paper, Thomas et al. (1) discussed design, resolution, sensitivity, and reproducibility of the National Aeronautics and Space Administration/American Cancer Society flow cytometer. The results of their study demonstrated high stability and sensitivity of the instrument, which is suitable for detection of near-diploid tumor cells. Although the performance of the instrument is impressive, we believe that Thomas et al. made serious errors in calculating the DNA contents of trout and human. To estimate the DNA content of human cells in picograms of DNA, the authors used trout red blood cell nuclei as the internal reference standard and assumed 2.37 pg of DNA for a trout nucleus. With this value, the DNA contents of human female and male nuclei were estimated to be equal to 3.77 and 3.70 pg of DNA, respectively. The new estimates for trout and human differ drastically from previous ones, which range from 4.9 to 6.3 pg for various species of trout (2-5) and from 6.0 to 7.0 pg for human (5-9). Because trout and human nuclei are often used as internal reference standards to determine genome size in animals and plants (5, 10, 11), the results published by Thomas et al. (1) need correction to avoid serious mistakes. Careful reading of the paper showed that the DNA content of trout (the authors did not specify the species) was derived after determining the ratio of mean DNA content of human male to trout to be 1.565. The DNA amount of the human nucleus, 3.70 pg, was calculated with the assumption that there are 6.162 × 109 nucleotides for the human male nucleus and that a mean nucleotide molecular weight of 360 g/mol. We believe these data are not correct. The ratio of human to trout DNA content determined by Thomas et al. (1) differs significantly from that of other reports. For instance, Vindeløv et al. (12) found that rainbow trout has 80% of human DNA content. The most recent estimate of the size of the human diploid male genome is 6.294 × 109 nucleotide pairs (13). Mean nucleotide molecular weight is not 360 (Table 1). The amount of DNA in a human cell nucleus was incorrectly calculated by multiplying the diploid genome size (in base pairs) by the mean weight of a nucleotide rather than of a nucleotide pair. By using the data in Table 1, relative weights of nucleotide pairs can be calculated as follows: AT = 615.3830 and GC = 616.3711, bearing in mind that formation of one phosphodiester linkage involves a loss of one H2O molecule. Further, phosphates of nucleotides in the DNA chain are acidic, so at physiologic pH the H+ ion is dissociated (15). Provided the ratio of AT to GC pairs is 1:1, and ignoring the presence of modified nucleotides, the mean relative weight of one nucleotide pair is 615.8771. In any case, the error should be smaller than 1%. Trout DNA content may be calculated by using the ratio of DNA amount of human versus trout. The ratio of 1.565 determined by Thomas et al. (1) seems too high when compared with other reports (12). The discrepancy might be due to the use of 4′,6-diamidino-2-phenylindole to stain the samples, which binds preferentially to AT-rich DNA (20) and, hence, could result in the biased ratio of DNA amounts (11, 21). Provided trout has 80% of human DNA content (12), trout nuclei should contain 5.149–5.240 pg of DNA. These values agree with the published data and differ significantly from those reported by Thomas et al. (1). J. Doležel dolezel@ueb.cas.cz*, J. Bartoš*, H. Voglmayr , J. Greilhuber , * Laboratory of Molecular Cytogenetics and Cytometry Institute of Experimental Botany Olomouc, Czech Republic, Institute of Botany University of Vienna Vienna, Austria.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/cyto.a.10013

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 21

  1. 10.1002/1097-0320(20010101)43:1<2::AID-CYTO1012>3.0.CO;2-J · doi:10.1002/1097-0320(20010101)43:1<2::aid-cyto1012>3.0.co;2-j
  2. 10.1002/(SICI)1097-0320(19980201)31:2<100::AID-CYTO5>3.0.CO;2-Q · doi:10.1002/(sici)1097-0320(19980201)31:2<100::aid-cyto5>3.0.co;2-q
  3. 10.1038/172030b0 · doi:10.1038/172030b0
  4. 10.1002/jez.1401770108 · DOI
  5. 10.1002/cyto.990100606 · doi:10.1002/cyto.990100606
  6. 10.1007/BF02172642 · DOI
  7. Mandel P, 1950, Les quantités d'acide désoxypentose‐nucléique par leucocyte chez diverses espèces de mammifères, C R Acad Sci Paris, 231, 1172
  8. Métais P, 1951, La teneur en acide pentose‐nucléique des leucocytes chez diverses espèces de mammifères et en particulier chez l'homme, C R Soc Biol, 145, 1235
  9. Rasch EM, 1985, DNA “standards” and the range of accurate DNA estimates by Feulgen absorption microspectrophotometry, Adv Microsc, 196, 137
  10. 10.1139/g83-084 · doi:10.1139/g83-084
  11. Doležel J, 1998, Plant genome size estimation by flow cytometry: inter‐laboratory comparison, Ann Bot, 82
  12. 10.1002/cyto.990030504 · DOI · Paper page
  13. 10.1038/35057062 · DOI · Paper page
  14. 10.1351/pac199971081593 · DOI
  15. Voet D, 1999, Fundamentals of biochemistry
  16. 10.1063/1.556049 · DOI · Paper page
  17. Cavalier‐Smith T, 1985, The evolution of genome size
  18. 10.1073/pnas.68.4.799 · doi:10.1073/pnas.68.4.799
  19. 10.1098/rstb.1976.0044 · DOI · Paper page
  20. 10.1016/0167-4781(88)90079-6 · DOI · Paper page
  21. 10.1111/j.1399-3054.1992.tb04764.x · doi:10.1111/j.1399-3054.1992.tb04764.x · Paper page

Cited by

See all 1,071

Metadata

Authors
Doležel, J., Bartoš, J., Voglmayr, H., & Greilhuber, J.
Venue
Cytometry Part A
Publisher
Wiley
Published
2003-01-22
Volume
51A
Issue
2
Pages
127-128
ISSN
  • 1552-4922 (ISSN-L)
  • 1552-4930
OpenAlex
W1411064714
Cited by
1,071
References
0
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Letter to the editor. https://app.cochat.ai/papers/10.1002/cyto.a.10013
The paper
Doležel, J., Bartoš, J., Voglmayr, H., & Greilhuber, J. (2003). Letter to the editor. Cytometry Part A. https://doi.org/10.1002/cyto.a.10013

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.