Evidence map›Paper›PMID 30395307›Full record

ArticleNucleic acids research2019

BloodSpot: a database of healthy and malignant haematopoiesis updated with purified and single cell mRNA sequencing profiles.

Frederik Otzen Bagger, Savvas Kinalis, Nicolas Rapin

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
155citing 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

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

  1. Pooled it
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  11. Arid2 promotes Follicular B-cell differentiation and antibody responsesbioRxiv : the preprint server for biology · 2025
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  16. Induction of T-Cell Differentiation by KLF4 in T-Cell Acute Lymphoblastic Leukemia Cells Harboring Activating Mutation in NOTCH3.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  17. Article
  18. Review
  19. HemAtlas: A Multi-omics Hematopoiesis Database.Genomics, proteomics & bioinformatics · 2025
    Article
  20. Article

95 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

3 authors.

Frederik Otzen BaggerCentre for Genomic Medicine, Rigshospitalet, University of Copenhagen Copenhagen, DK-2100 Copenhagen, Denmark.
Savvas KinalisCentre for Genomic Medicine, Rigshospitalet, University of Copenhagen Copenhagen, DK-2100 Copenhagen, Denmark.
Nicolas RapinThe Finsen Laboratory, Rigshospitalet, Faculty of Health Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BloodSpot is a gene-centric database of mRNA expression of haematopoietic cells. The web-based interface to the database includes three concomitant levels of visualization for a gene query; foremost is the expression across hematopoietic cell types, second is analysis of survival of Acute Myeloid Leukaemia patients based on gene expression, and lastly, the expression visualized in an interactive developmental tree. With the introduction of single cell data we have now also included an unbiased dimensionality reduction method to show gene expression over the continuum of haematopoiesis. The webserver includes a few select analysis functionalities, like Student's t-test, identification of correlating genes and lookup of whole genetic signatures, with the aim of making generation and testing of hypotheses quick and intuitive. The visualizations have been updated to accommodate new datatypes and the database has been largely expanded with RNA-sequencing datasets, both purified in bulk and at single cell resolution, increasing the number of single samples more than 10 fold, while keeping simplicity in presentation. The database should be of interest for any researcher within leukaemia, haematopoiesis, cellular development, or stem cells. The database is freely available at www.bloodspot.eu.

Indexed as

Databases, GeneticRNA-SeqSingle-Cell AnalysisCell SeparationFlow CytometryHematopoiesisHematopoietic Stem CellsHumansLeukemiaRNA, MessengerRNA, Messenger

Identifiers

PMID30395307
PMCPMC6323996

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.