Evidence map›Paper›PMID 26507857›Full record

ArticleNucleic acids research2016

BloodSpot: a database of gene expression profiles and transcriptional programs for healthy and malignant haematopoiesis.

Frederik Otzen Bagger, Damir Sasivarevic, Sina Hadi Sohi, Linea Gøricke Laursen, Sachin Pundhir, Casper Kaae Sønderby, Ole Winther, Nicolas Rapin, Bo T Porse

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 211 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
211citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

211 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Science advances · 2025
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  16. The RNA NCell death & disease · 2025
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151 more citing papers are in PubMed but not listed here.

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

9 authors.

Frederik Otzen BaggerThe Finsen Laboratory, Rigshospitalet, Faculty of Health Sciences, University of Copenhagen, Denmark Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark The Bioinformatics Centre, Department of Biology, Faculty of Natural Sciences, University of Copenhagen, Denmark Danish Stem Cell Centre (DanStem) Faculty of Health Sciences, University of Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-0636-8845
Damir SasivarevicDTU Compute, Technical University of Denmark, Lyngby, Denmark.
Sina Hadi SohiDTU Compute, Technical University of Denmark, Lyngby, Denmark.
Linea Gøricke LaursenThe Finsen Laboratory, Rigshospitalet, Faculty of Health Sciences, University of Copenhagen, Denmark Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark The Bioinformatics Centre, Department of Biology, Faculty of Natural Sciences, University of Copenhagen, Denmark Danish Stem Cell Centre (DanStem) Faculty of Health Sciences, University of Copenhagen, Denmark.
Sachin PundhirThe Finsen Laboratory, Rigshospitalet, Faculty of Health Sciences, University of Copenhagen, Denmark Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark The Bioinformatics Centre, Department of Biology, Faculty of Natural Sciences, University of Copenhagen, Denmark Danish Stem Cell Centre (DanStem) Faculty of Health Sciences, University of Copenhagen, Denmark.
Casper Kaae SønderbyThe Bioinformatics Centre, Department of Biology, Faculty of Natural Sciences, University of Copenhagen, Denmark.
Ole WintherBiotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark The Bioinformatics Centre, Department of Biology, Faculty of Natural Sciences, University of Copenhagen, Denmark DTU Compute, Technical University of Denmark, Lyngby, Denmark.
Nicolas RapinThe Finsen Laboratory, Rigshospitalet, Faculty of Health Sciences, University of Copenhagen, Denmark Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark The Bioinformatics Centre, Department of Biology, Faculty of Natural Sciences, University of Copenhagen, Denmark Danish Stem Cell Centre (DanStem) Faculty of Health Sciences, University of Copenhagen, Denmark nicolas.rapin@finsenlab.dk.ORCID http://orcid.org/0000-0001-5208-8874
Bo T PorseThe Finsen Laboratory, Rigshospitalet, Faculty of Health Sciences, University of Copenhagen, Denmark Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark Danish Stem Cell Centre (DanStem) Faculty of Health Sciences, University of Copenhagen, Denmark bo.porse@finsenlab.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on human and murine haematopoiesis has resulted in a vast number of gene-expression data sets that can potentially answer questions regarding normal and aberrant blood formation. To researchers and clinicians with limited bioinformatics experience, these data have remained available, yet largely inaccessible. Current databases provide information about gene-expression but fail to answer key questions regarding co-regulation, genetic programs or effect on patient survival. To address these shortcomings, we present BloodSpot (www.bloodspot.eu), which includes and greatly extends our previously released database HemaExplorer, a database of gene expression profiles from FACS sorted healthy and malignant haematopoietic cells. A revised interactive interface simultaneously provides a plot of gene expression along with a Kaplan-Meier analysis and a hierarchical tree depicting the relationship between different cell types in the database. The database now includes 23 high-quality curated data sets relevant to normal and malignant blood formation and, in addition, we have assembled and built a unique integrated data set, BloodPool. Bloodpool contains more than 2000 samples assembled from six independent studies on acute myeloid leukemia. Furthermore, we have devised a robust sample integration procedure that allows for sensitive comparison of user-supplied patient samples in a well-defined haematopoietic cellular space.

Indexed as

Databases, GeneticGene Expression ProfilingTranscription, GeneticAnimalsHematopoiesisHematopoietic Stem CellsHumansLeukemia, Myeloid, AcuteMice

Identifiers

PMID26507857
PMCPMC4702803

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.