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

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@article{086a2abddca5401f940dc5adc93a0530,
title = "BloodSpot: a database of gene expression profiles and transcriptional programs for healthy and malignant haematopoiesis",
abstract = "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.",
author = "Bagger, {Frederik Otzen} and Damir Sasivarevic and Sohi, {Sina Hadi} and Linea Laursen and Sachin Pundir and S{\o}nderby, {Casper Kaae} and Ole Winther and Nicolas Rapin and Porse, {Bo T}",
note = "{\circledC} The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.",
year = "2016",
doi = "10.1093/nar/gkv1101",
language = "English",
volume = "44",
pages = "D917--D924",
journal = "Nucleic Acids Research",
issn = "0305-1048",
publisher = "Oxford University Press",
number = "D1",

}

RIS

TY - JOUR

T1 - BloodSpot

T2 - a database of gene expression profiles and transcriptional programs for healthy and malignant haematopoiesis

AU - Bagger, Frederik Otzen

AU - Sasivarevic, Damir

AU - Sohi, Sina Hadi

AU - Laursen, Linea

AU - Pundir, Sachin

AU - Sønderby, Casper Kaae

AU - Winther, Ole

AU - Rapin, Nicolas

AU - Porse, Bo T

N1 - © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

U2 - 10.1093/nar/gkv1101

DO - 10.1093/nar/gkv1101

M3 - Journal article

VL - 44

SP - D917-D924

JO - Nucleic Acids Research

JF - Nucleic Acids Research

SN - 0305-1048

IS - D1

ER -

ID: 45783627