Evidence map›Paper›PMID 23310930›Full record

ArticleBlood cancer journal2013

Molecular pathways of early CD105-positive erythroid cells as compared with CD34-positive common precursor cells by flow cytometric cell-sorting and gene expression profiling.

S Machherndl-Spandl, S Suessner, M Danzer, J Proell, C Gabriel, J Lauf, R Sylie, H-U Klein, M C Béné, A Weltermann and 1 more

Open access · goldAbstract read
In one paragraph

Article in Blood cancer journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.8field-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

20 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
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  3. DOGMA-seq and multimodal, single-cell analysis in acute myeloid leukemia.International review of cell and molecular biology · 2025
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  18. Article
  19. Prospective isolation of human erythroid lineage-committed progenitors.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  20. 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

11 authors at 4 institutions in 3 countries.

S Machherndl-SpandlDivision of Hematology/Oncology, Elisabethinen Hospital Linz, Linz, Austria.
S Suessner
M Danzer
J Proell
C Gabriel
J Lauf
R Sylie
H-U Klein
M C Béné
A Weltermann
P Bettelheim
Krankenhaus der Elisabethinen · ATCentre Hospitalier Universitaire de Nantes · FRUniversity of Münster · DEVoestalpine (Austria) · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Special attention has recently been drawn to the molecular network of different genes that are responsible for the development of erythroid cells. The aim of the present study was to establish in detail the immunophenotype of early erythroid cells and to compare the gene expression profile of freshly isolated early erythroid precursors with that of the CD34-positive (CD34(+)) compartment. Multiparameter flow cytometric analyses of human bone marrow mononuclear cell fractions (n=20) defined three distinct early erythroid stages. The gene expression profile of sorted early erythroid cells was analyzed by Affymetrix array technology. For 4524 genes, a differential regulation was found in CD105-positive erythroid cells as compared with the CD34(+) progenitor compartment (2362 upregulated genes). A highly significant difference was observed in the expression level of genes involved in transcription, heme synthesis, iron and mitochondrial metabolism and transforming growth factor-β signaling. A comparison with recently published data showed over 1000 genes that as yet have not been reported to be upregulated in the early erythroid lineage. The gene expression level within distinct pathways could be illustrated directly by applying the Ingenuity software program. The results of gene expression analyses can be seen at the Gene Expression Omnibus repository.

Identifiers

PMID23310930
PMCPMC3556575
OpenAlexW2044613411

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.