Evidence map›Paper›PMID 32449586›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2020

Phenotypic Analysis of the Mouse Hematopoietic Hierarchy Using Spectral Cytometry: From Stem Cell Subsets to Early Progenitor Compartments.

Michael Solomon, Monica DeLay, Damien Reynaud

Open access · greenAbstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
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

18 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. FACS-Based Assessment of Human Hematopoietic Stem and Progenitor Cells.International journal of molecular sciences · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Hematopoietic stem cells and extramedullary hematopoiesis in the lungs.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2023
    Review
  12. Article
  13. Development of Spectral Imaging Cytometry.Methods in molecular biology (Clifton, N.J.) · 2023
    Review
  14. Using the Autofluorescence Finder on the Sony ID7000Frontiers in bioengineering and biotechnology · 2022
    Article
  15. Article
  16. Article
  17. Review
  18. Review
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

3 authors at 2 institutions in 1 country.

Michael SolomonStem Cell Program, Division of Experimental Hematology and Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, 45229, USA.
Monica DeLayCytek Biosciences, Fremont, California, 94538, USA.
Damien ReynaudStem Cell Program, Division of Experimental Hematology and Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, 45229, USA.ORCID 0000-0001-8765-8419
Cincinnati Children's Hospital Medical Center · USCytel (United States) · US

Funding

Normal and Pathological Hematopoietic Stem Cells in ObesityR01HL141418 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI REYNAUD, DAMIEN · 2018 to 2021
$1.6M
ZE5 Analytical CytometerS10OD025045 · OD · CINCINNATI CHILDRENS HOSP MED CTR · PI THORNTON, SHERRY L · 2018 to 2018
$359k
NHLBI NIH HHS R01 HL141418NIH HHS S10 OD025045
6 · The paper itself

Abstract

Phenotypic analysis by flow cytometry is one of the most utilized primary tools to study the hematopoietic system. Here, we present a complex panel designed for spectral flow cytometry that allows for the in-depth analysis of the mouse hematopoietic stem and progenitor compartments. The developed panel encompasses the hematopoietic stem cell (HSC) compartment, an array of multipotent progenitors with early marks of lineage specification and a series of progenitors associated with lymphoid, granulo-macrophagic, megakaryocytic and erythroid lineage commitment. It has a built-in redundancy for key markers known to decipher the fine architecture of the HSC compartment by segregating subsets with different functional potential. As a resource, we used this panel to provide a snapshot view of the evolution of these phenotypically defined hematopoietic compartments during the life of the animals. We show that by using a spectral cytometer, this panel is compatible with the analysis of GFP-expressing gene-reporter mice across the hematopoietic system. We leverage this tool to determine how previously described markers such as CD150, CD34, CD105, CD41, ECPR, and CD49b define specific HSC subsets and confirm that high expression of the transcription factor Gfi1 is a hallmark of the most primitive HSC compartment. Altogether, our results provide a convenient protocol to obtain in one analysis a more extensive view of the hematopoietic architecture in mouse models. Our results could also serve as a base for further development of high-end panels leveraging spectral flow cytometry beyond the 15-fluorochrome panel presented in this report. © 2020 International Society for Advancement of Cytometry.

Indexed as

Hematopoietic Stem CellsTranscription FactorsAnimalsBiomarkersCell DifferentiationCell LineageFlow CytometryMiceBiomarkersTranscription Factorsaginggene-reporter mouse modelhematopoietic progenitorshematopoietic stem cell compartmentsimmunophenotypingmouse hematopoietic hierarchyspectral flow cytometry

Identifiers

PMID32449586
PMCPMC8630828
OpenAlexW3027547121

What OpenQuestion holds

Textmetadata
LicenceTDM
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.