Evidence map›Paper›PMID 22669654›Full record

ArticleNature methods2012

Counting stem cells: methodological constraints.

Leonid V Bystrykh, Evgenia Verovskaya, Erik Zwart, Mathilde Broekhuis, Gerald de Haan

Abstract read
PubMed Publisher
In one paragraph

Article in Nature methods, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed.

  1. Trial
  2. Article
  3. Clonal tracking in cancer and metastasis.Cancer metastasis reviews · 2024
    Review
  4. Article
  5. Review
  6. Article
  7. Evaluation of diversity indices to estimate clonal dominance in gene therapy studies.Molecular therapy. Methods & clinical development · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Replicative cellular age distributions in compartmentalized tissues.Journal of the Royal Society, Interface · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Leonid V BystrykhLaboratory of Stem Cell Research, European Research Institute for the Biology of Ageing, University Medical Center Groningen, University of Groningen, The Netherlands. l.bystrykh@med.umcg.nl
Evgenia Verovskaya
Erik Zwart
Mathilde Broekhuis
Gerald de Haan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of stem cells contributing to hematopoiesis has been a matter of debate. Many studies use retroviral tagging of stem cells to measure clonal contribution. Here we argue that methodological factors can impact such clonal analyses. Whereas early studies had low resolution, leading to underestimation, recent methods may result in an overestimation of stem-cell counts. We discuss how restriction enzyme choice, PCR bias, high-throughput sequencing depth and tagging method could affect the conclusions of clonal studies.

Indexed as

AnimalsCell CountClone CellsDNA Restriction EnzymesGenetic VectorsHematopoiesisHematopoietic Stem CellsHumansMiceNucleic Acid Amplification TechniquesPolymerase Chain ReactionRetroviridaeVirus IntegrationDNA Restriction Enzymes

Identifiers

PMID22669654

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.