Evidence map›Paper›PMID 23143109›Full record

ArticleNucleic acids research2013

HemaExplorer: a database of mRNA expression profiles in normal and malignant haematopoiesis.

Frederik Otzen Bagger, Nicolas Rapin, Kim Theilgaard-Mönch, Bogumil Kaczkowski, Lina A Thoren, Johan Jendholm, Ole Winther, Bo T Porse

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
3.9field-weighted citation impact, top 5% 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

53 citing papers in PubMed, 78 citations in OpenAlex.

  1. Trial
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  4. Mitochondrial AAAFrontiers in cell and developmental biology · 2025
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  19. Classification of Widely and Rarely Expressed Genes with Recurrent Neural Network.Computational and structural biotechnology journal · 2019
    Article
  20. CDK9 inhibitors in acute myeloid leukemia.Journal of experimental & clinical cancer research : CR · 2018
    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

8 authors at 2 institutions in 1 country.

Frederik Otzen BaggerBioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, DK2200 Denmark.
Nicolas Rapin
Kim Theilgaard-Mönch
Bogumil Kaczkowski
Lina A Thoren
Johan Jendholm
Ole Winther
Bo T Porse
University of Copenhagen · DKTechnical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The HemaExplorer (http://servers.binf.ku.dk/hemaexplorer) is a curated database of processed mRNA Gene expression profiles (GEPs) that provides an easy display of gene expression in haematopoietic cells. HemaExplorer contains GEPs derived from mouse/human haematopoietic stem and progenitor cells as well as from more differentiated cell types. Moreover, data from distinct subtypes of human acute myeloid leukemia is included in the database allowing researchers to directly compare gene expression of leukemic cells with those of their closest normal counterpart. Normalization and batch correction lead to full integrity of the data in the database. The HemaExplorer has comprehensive visualization interface that can make it useful as a daily tool for biologists and cancer researchers to assess the expression patterns of genes encountered in research or literature. HemaExplorer is relevant for all research within the fields of leukemia, immunology, cell differentiation and the biology of the haematopoietic system.

Indexed as

Databases, GeneticAnimalsHematopoiesisHematopoietic Stem CellsHumansInternetLeukemia, Myeloid, AcuteMiceRNA, MessengerTranscriptomeRNA, Messenger

Identifiers

PMID23143109
PMCPMC3531225
OpenAlexW2153707709

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.