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

被引:258
作者
Bagger, Frederik Otzen [1 ,2 ,3 ,4 ,6 ,7 ]
Sasivarevic, Damir [5 ]
Sohi, Sina Hadi [5 ]
Laursen, Linea Goricke [1 ,2 ,3 ,4 ]
Pundhir, Sachin [1 ,2 ,3 ,4 ]
Sonderby, Casper Kaae [3 ]
Winther, Ole [2 ,3 ,5 ]
Rapin, Nicolas [1 ,2 ,3 ,4 ]
Porse, Bo T. [1 ,2 ,4 ]
机构
[1] Univ Copenhagen, Rigshosp, Fac Hlth Sci, Finsen Lab, DK-2100 Copenhagen, Denmark
[2] Univ Copenhagen, BRIC, Copenhagen, Denmark
[3] Univ Copenhagen, Fac Nat Sci, Dept Biol, Bioinformat Ctr, Copenhagen, Denmark
[4] Univ Copenhagen, Fac Nat Sci, Danish Stem Cell Ctr DanStem, Copenhagen, Denmark
[5] Tech Univ Denmark, DTU Compute, DK-2800 Lyngby, Denmark
[6] European Bioinformat Inst, European Mol Biol Lab, Welcome Trust Genome Campus, Cambridge, England
[7] Univ Cambridge, Dept Haematol, Cambridge Biomed Campus, Cambridge CB2 0PT, England
关键词
LEUKEMIA; DISTINCT; UNIQUE; CELLS; AML;
D O I
10.1093/nar/gkv1101
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
070307 [化学生物学]; 071010 [生物化学与分子生物学];
摘要
.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.
引用
收藏
页码:D917 / D924
页数:8
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