Cited by 229Acute Myeloid Leukemia ResearchGene expression and cancer classificationSingle-cell and spatial transcriptomics

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

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Bagger, Frederik Otzen, Kinalis, Savvas, Rapin, Nicolas·2019·Nucleic Acids Research

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.

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  1. [23]Chen L., Ge B., Casale F.P., Vasquez L., Kwan T., Garrido-Martín D., Watt S., Yan Y., Kundu K., Ecker S. Genetic drivers of epigenetic and transcriptional variation in human immune cells. Cell. 2016; 167: 1398– 1414. 27863251 PMC5119954

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Authors
Bagger, F. O., Kinalis, S., & Rapin, N.
Affiliations
University of Copenhagen (DK)
Corresponding author
Bagger, Frederik Otzen
Venue
Nucleic Acids Research
Published
2018-11-05
Volume
47
Issue
D1
Pages
D881-D885
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2900119089
Cited by
229
References
27
Citations by year
2026: 7 · 2025: 22 · 2024: 40 · 2023: 41 · 2022: 39 · 2021: 34 · 2020: 36 · 2019: 10
FWCI
14.33
Type
journal article
Language
en
Open access
Locations
  • Nucleic Acids Research (publishedVersion, cc-by-nc)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by-nc)
Funders
  • Lundbeck Foundation (R193-2015-1611, R182-2014-3881)
  • Novo Nordisk Foundation (NNF15CC0027852)
Topics
  • Health Sciences › Medicine › Hematology › Acute Myeloid Leukemia Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
Keywords
hematopoiesis, gene expression database, single-cell RNA sequencing, acute myeloid leukemia, patient survival, dimensionality reduction, gene expression signatures, leukemia, stem cells
MeSH terms
RNA-Seq, Cell Separation, Flow Cytometry, Hematopoiesis, Hematopoietic Stem Cells, Humans, Leukemia, RNA, Messenger, Databases, Genetic, Single-Cell Analysis

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