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

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DOI

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

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  1. The Number of Signaling Pathways Altered by Driver Mutations in Chronic Lymphocytic Leukemia Impacts Disease Outcome

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  3. Single mRNP Analysis Reveals that Small Cytoplasmic mRNP Granules Represent mRNA Singletons

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  4. Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing data

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  5. A Gain-of-Function p53-Mutant Oncogene Promotes Cell Fate Plasticity and Myeloid Leukemia through the Pluripotency Factor FOXH1

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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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.

OriginalsprogEngelsk
TidsskriftNucleic Acids Research
Vol/bind47
Udgave nummerD1
Sider (fra-til)D881-D885
ISSN0305-1048
DOI
StatusUdgivet - 8 jan. 2019

ID: 56694065