Evidence map›Paper›PMID 36735913›Full record

ReviewBlood2023

Resolving the hematopoietic stem cell state by linking functional and molecular assays.

Maria Jassinskaja, Monika Gonka, David G Kent

Open access · hybridAbstract readReview
In one paragraph

Review in Blood, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. FACS-Based Assessment of Human Hematopoietic Stem and Progenitor Cells.International journal of molecular sciences · 2025
    Review
  9. Article
  10. Article
  11. SON is an essential mCell stem cell · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Maria JassinskajaDepartment of Biology, York Biomedical Research Institute, University of York, York, United Kingdom.ORCID 0000-0003-1493-8510
Monika GonkaDepartment of Biology, York Biomedical Research Institute, University of York, York, United Kingdom.ORCID 0000-0002-8487-3364
David G KentDepartment of Biology, York Biomedical Research Institute, University of York, York, United Kingdom.ORCID 0000-0001-7871-8811
University of York · GB

Funding

Biotechnology and Biological Sciences Research Council BB/T007222/1Cancer Research UK DCRPGF\100008Medical Research Council MR/V005502/1
6 · The paper itself

Abstract

One of the most challenging aspects of stem cell research is the reliance on retrospective assays for ascribing function. This is especially problematic for hematopoietic stem cell (HSC) research in which the current functional assay that formally establishes its HSC identity involves long-term serial transplantation assays that necessitate the destruction of the initial cell state many months before knowing that it was, in fact, an HSC. In combination with the explosion of equally destructive single-cell molecular assays, the paradox facing researchers is how to determine the molecular state of a functional HSC when you cannot concomitantly assess its functional and molecular properties. In this review, we will give a historical overview of the functional and molecular assays in the field, identify new tools that combine molecular and functional readouts in populations of HSCs, and imagine the next generation of computational and molecular profiling tools that may help us better link cell function with molecular state.

Indexed as

Hematopoietic Stem Cell TransplantationCell DifferentiationHematopoietic Stem CellsRetrospective Studies

Identifiers

PMID36735913
PMCPMC10644060
OpenAlexW4319068227

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.