HemaExplorer: a Web server for easy and fast visualization of gene expression in normal and malignant hematopoiesis

FO Bagger, N Rapin… - Blood, The Journal …, 2012 - ashpublications.org
Blood, The Journal of the American Society of Hematology, 2012ashpublications.org
The HemaExplorer Web server allows for an easy display of mRNA expression profiles for
query genes in murine and human hematopoietic stem and progenitor cells that represent
consecutive developmental stages along the myeloid differentiation pathway. In addition, it
provides the ability to compare gene expression levels in human acute myeloid leukemia
(AML) cells with expression levels in normal human hematopoietic stem cells and
hematopoietic progenitor cells. The Web server is freely available at http://servers. binf. ku …
The HemaExplorer Web server allows for an easy display of mRNA expression profiles for query genes in murine and human hematopoietic stem and progenitor cells that represent consecutive developmental stages along the myeloid differentiation pathway. In addition, it provides the ability to compare gene expression levels in human acute myeloid leukemia (AML) cells with expression levels in normal human hematopoietic stem cells and hematopoietic progenitor cells. The Web server is freely available at http://servers. binf. ku. dk/hemaexplorer/. The HemaExplorer Web server can take 1 gene as query and provides a plot of the expression of the gene in both hematopoietic stem and progenitor populations as well as in mature lineages. Alternatively, a query of 2 genes depicts their relationship in a scatter plot. Currently the database contains options for the human hematopoietic system, human AML, and the murine hematopoietic system (see Figure 1).
The Web server accepts gene symbol aliases as long as they are unambiguous, for example the query “p53” will be interpreted as TP53. The Web server will provide output plots for download in ready-to-publish quality. In addition, the raw data for the query gene is available for download. There is also an advanced option allowing for selection of the cell types presented by the output plot. The database was build using manually curated public available gene expression datasets from multiple studies all generated on the Affymetrix platform (Human 133UA and 133UB and 133. Plus2 microarrays; Mouse Genome 430 2.0 Array). 1-9 To correct for batch effect the datasets were sorted by platform and laboratory, before RMA normalization and subsequent processing with ComBat. 10 As several platforms are represented in the dataset,
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