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Rigshospitalet - a part of Copenhagen University Hospital
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BloodSpot: a database of gene expression profiles and transcriptional programs for healthy and malignant haematopoiesis

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DOI

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

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Peak-valley-peak pattern of histone modifications delineates active regulatory elements and their directionality

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. DNA secondary structures are associated with recombination in major Plasmodium falciparum variable surface antigen gene families

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

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  1. ERG Controls B Cell Development by Promoting Igh V-to-DJ Recombination

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  2. Mutant CEBPA directly drives the expression of the targetable tumor-promoting factor CD73 in AML

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  3. Heterozygous loss of Srp72 in mice is not associated with major hematological phenotypes

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  4. A programmed wave of uridylation-primed mRNA degradation is essential for meiotic progression and mammalian spermatogenesis

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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.

Original languageEnglish
JournalNucleic Acids Research
Volume44
Issue numberD1
Pages (from-to)D917-D924
ISSN0305-1048
DOIs
Publication statusPublished - 2016

ID: 45783627