Evidence map›Paper›PMID 34294125›Full record

ArticleStem cell research & therapy2021

EGR1 dysregulation defines an inflammatory and leukemic program in cell trajectory of human-aged hematopoietic stem cells (HSC).

Christophe Desterke, Annelise Bennaceur-Griscelli, Ali G Turhan

Open access · goldAbstract read
In one paragraph

Article in Stem cell research & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

25 citing papers in PubMed, 36 citations in OpenAlex.

  1. Trial
  2. Hematopoietic Aging and Leukemia: Mechanistic and Therapeutic Insights.International journal of molecular sciences · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Targeting senescent EGR1Cell reports. Medicine · 2026
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. PURE-seq identifiesbioRxiv : the preprint server for biology · 2024
    Article
  14. Article
  15. Article
  16. Stimulation of mouse hematopoietic stem cells by angiogenin and DNA preparations.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. 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 1 institution in 1 country.

Christophe DesterkeINSERM UA9, University Paris-Saclay, 94800, Villejuif, France.
Annelise Bennaceur-GriscelliINSERM UA9, University Paris-Saclay, 94800, Villejuif, France.
Ali G TurhanINSERM UA9, University Paris-Saclay, 94800, Villejuif, France. turviv33@gmail.com.ORCID 0000-0002-4861-0137
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring aging, hematopoietic stem cells (HSC) lose progressively both their self-renewal and differentiation potential. The precise molecular mechanisms of this phenomenon are not well established. To uncover the molecular events underlying this event, we have performed a bioinformatics analysis of 650 single-cell transcriptomes.

methodsSingle-cell transcriptome analyses of expression heterogeneity, cell cycle, and cell trajectory in human cell compartment enriched in hematopoietic stem cell compartment were investigated in the bone marrow according to the age of the donors. Identification of aging-related nodules was identified by weighted correlation network analysis in this primitive compartment.

resultsThe analysis of single-cell transcriptomes allowed to uncover a major upregulation of EGR1 in human-aged lineage-CD34+CD38- cells which present cell cycle dysregulation with reduction of G2/M phase according to less expression of CCND2 during S phase. EGR1 upregulation in aging hematopoietic stem cells was found to be independent of cell cycle phases and gender. EGR1 expression trajectory in aged HSC highlighted a signature enriched in hematopoietic and immune disorders with the best induction of AP-1 complex and quiescence regulators such as EGR1, BTG2, JUNB, and NR41A. Sonic Hedgehog-related TMEM107 transmembrane molecule followed also EGR1 cell trajectory. EGR1-dependent gene weighted network analysis in human HSC-associated IER2 target protein-specific regulators of PP2A activity, IL1B, TNFSF10 ligands, and CD69, SELP membrane molecules in old HSC module with immune and leukemogenic signature. In contrast, for young HSC which were found with different cell cycle phase progression, its specific module highlighted upregulation of HIF1A hypoxic factor, PDE4B immune marker, DRAK2 (STK17B) T cell apoptosis regulator, and MYADM myeloid-associated marker.

conclusionEGR1 was found to be connected to the aging of human HSC and highlighted a specific cell trajectory contributing to the dysregulation of an inflammatory and leukemia-related transcriptional program in aged human HSCs. EGR1 and its program were found to be connected to the aging of human HSC with dissociation of quiescence property and cell cycle phase progression in this primitive hematopoietic compartment.

Indexed as

Hedgehog ProteinsImmediate-Early ProteinsAgedApoptosis Regulatory ProteinsCell CycleCell DifferentiationEarly Growth Response Protein 1HematopoiesisHematopoietic Stem CellsHumansProtein Serine-Threonine KinasesTumor Suppressor ProteinsApoptosis Regulatory ProteinsBTG2 protein, humanEarly Growth Response Protein 1EGR1 protein, humanHedgehog ProteinsImmediate-Early ProteinsProtein Serine-Threonine KinasesSTK17B protein, humanTumor Suppressor ProteinsAgingEGR1Hematopoietic stem cellInflammationLeukemiaSingle cell

Identifiers

PMID34294125
PMCPMC8296523
OpenAlexW3183230847

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.