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2358 Bloodspot: A Web Resource Facilitating the Analysis of Transcriptional Programs in Normal and Malignant Hematopoiesis

Hematopoietic Stem and Progenitor Biology
Program: Oral and Poster Abstracts
Session: 501. Hematopoietic Stem and Progenitor Biology: Poster II
Sunday, December 6, 2015, 6:00 PM-8:00 PM
Hall A, Level 2 (Orange County Convention Center)

Frederik Otzen Bagger, PhD1,2,3,4,5*, Damir Sasivarevic6*, Sina Hadi Sohi6*, Linea Gøricke Laursen1,2,3*, Sachin Pundhir, PhD1,2,3,4*, Ole Winther, PhD7*, Nicolas Rapin, PhD1,2,3,4* and Bo T Porse, PhD1,2,3*

1Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark
2Danish Stem Cell Centre (DanStem), Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
3The Finsen Laboratory, Rigshospitalet, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
4Bioinformatics Centre, Department of Biology, Faculty of Natural Sciences, University of Copenhagen, Copenhagen, Denmark
5Current address: Dept. of haematology, Current address: University of Cambridge and EMBL-EBI, Cambridge, England
6Technical University of Denmark, Kgs. Lyngby, Denmark
7DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark

Decades of studies on developing cells in human and murine haematopoiesis have resulted in a large number of gene-expression datasets that may answer questions regarding normal and aberrant blood formation. To researchers and clinicians with limited bioinformatics experience, these data remain available, yet largely inaccessible. Current resources provide information about gene-expression patterns but disregard key aspects such as genetic co-regulation of genes,  and the effects on patient survival.

Here, we present a new web-based resourced termed, BloodSpot, which provides a) a comprehensive representation of gene-expression throughout haematopoiesis, b) a single gene-based Kaplan-Meier analysis and c) a novel, simpler, yet more informative, type of expression plot. Significantly, users can compare their own expression profiles to normal haematopietic populations within the statistical framework of Bloodspot. We illustrate the potential of key features in BloodSpot to identify new putative C/EBPa targets.

Accessible at http://servers.binf.ku.dk/bloodspot/

Disclosures: No relevant conflicts of interest to declare.

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