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

被引:63
作者
Bagger, Frederik Otzen [1 ,2 ,3 ,4 ]
Rapin, Nicolas [1 ,2 ,3 ,4 ]
Theilgaard-Monch, Kim [1 ,3 ,4 ,5 ]
Kaczkowski, Bogumil [2 ,3 ]
Thoren, Lina A. [1 ,3 ,4 ]
Jendholm, Johan [1 ,3 ,4 ]
Winther, Ole [2 ,3 ,6 ]
Porse, Bo T. [1 ,3 ,4 ]
机构
[1] Univ Copenhagen, Rigshosp, Fac Hlth Sci, Finsen Lab, DK-2200 Copenhagen, Denmark
[2] Univ Copenhagen, Dept Biol, Bioinformat Ctr, DK-2200 Copenhagen, Denmark
[3] Univ Copenhagen, Fac Hlth Sci, Biotech Res & Innovat Ctr, DK-2200 Copenhagen, Denmark
[4] Univ Copenhagen, Fac Hlth Sci, Danish Stem Cell Ctr DanStem, DK-2200 Copenhagen, Denmark
[5] Lund Univ, Skanes Univ Hosp, Dept Hematol, S-22185 Lund, Sweden
[6] Tech Univ Denmark DTU, DK-2800 Lyngby, Denmark
关键词
GENE-EXPRESSION; MICROARRAY; BMI-1; CELLS; IDENTIFICATION; LEUKEMIA;
D O I
10.1093/nar/gks1021
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The HemaExplorer (http://servers.binf.ku.dk/hemaexplorer) is a curated database of processed mRNA Gene expression profiles (GEPs) that provides an easy display of gene expression in haematopoietic cells. HemaExplorer contains GEPs derived from mouse/human haematopoietic stem and progenitor cells as well as from more differentiated cell types. Moreover, data from distinct subtypes of human acute myeloid leukemia is included in the database allowing researchers to directly compare gene expression of leukemic cells with those of their closest normal counterpart. Normalization and batch correction lead to full integrity of the data in the database. The HemaExplorer has comprehensive visualization interface that can make it useful as a daily tool for biologists and cancer researchers to assess the expression patterns of genes encountered in research or literature. HemaExplorer is relevant for all research within the fields of leukemia, immunology, cell differentiation and the biology of the haematopoietic system.
引用
收藏
页码:D1034 / D1039
页数:6
相关论文
共 27 条
[11]   Integrated Regulation of Toll-like Receptor Responses by Notch and Interferon-γ Pathways [J].
Hu, Xiaoyu ;
Chung, Allen Y. ;
Wu, Indira ;
Foldi, Julia ;
Chen, Janice ;
Ji, Jong Dae ;
Tateya, Tomoko ;
Kang, Young Jun ;
Han, Jiahuai ;
Gessler, Manfred ;
Kageyama, Ryoichiro ;
Ivashkiv, Lionel B. .
IMMUNITY, 2008, 29 (05) :691-703
[12]   Exploration, normalization, and summaries of high density oligonucleotide array probe level data [J].
Irizarry, RA ;
Hobbs, B ;
Collin, F ;
Beazer-Barclay, YD ;
Antonellis, KJ ;
Scherf, U ;
Speed, TP .
BIOSTATISTICS, 2003, 4 (02) :249-264
[13]   Adjusting batch effects in microarray expression data using empirical Bayes methods [J].
Johnson, W. Evan ;
Li, Cheng ;
Rabinovic, Ariel .
BIOSTATISTICS, 2007, 8 (01) :118-127
[14]   Gene Expression Atlas update-a value-added database of microarray and sequencing-based functional genomics experiments [J].
Kapushesky, Misha ;
Adamusiak, Tomasz ;
Burdett, Tony ;
Culhane, Aedin ;
Farne, Anna ;
Filippov, Alexey ;
Holloway, Ele ;
Klebanov, Andrey ;
Kryvych, Nataliya ;
Kurbatova, Natalja ;
Kurnosov, Pavel ;
Malone, James ;
Melnichuk, Olga ;
Petryszak, Robert ;
Pultsin, Nikolay ;
Rustici, Gabriella ;
Tikhonov, Andrew ;
Travillian, Ravensara S. ;
Williams, Eleanor ;
Zorin, Andrey ;
Parkinson, Helen ;
Brazma, Alvis .
NUCLEIC ACIDS RESEARCH, 2012, 40 (D1) :D1077-D1081
[15]   An international standardization programme towards the application of gene expression profiling in routine leukaemia diagnostics: the Microarray Innovations in LEukemia study prephase [J].
Kohlmann, Alexander ;
Kipps, Thomas J. ;
Rassenti, Laura Z. ;
Downing, James R. ;
Shurtleff, Sheila A. ;
Mills, Ken I. ;
Gilkes, Amanda F. ;
Hofmann, Wolf-Karsten ;
Basso, Giuseppe ;
Dell'Orto, Marta Campo ;
Foa, Robin ;
Chiaretti, Sabina ;
De Vos, John ;
Rauhut, Sonja ;
Papenhausen, Peter R. ;
Hernandez, Jesus M. ;
Lumbreras, Eva ;
Yeoh, Allen E. ;
Koay, Evelyn S. ;
Li, Rachel ;
Liu, Wei-Min ;
Williams, Paul M. ;
Wieczorek, Lothar ;
Haferlach, Torsten .
BRITISH JOURNAL OF HAEMATOLOGY, 2008, 142 (05) :802-807
[16]   Bmi-1 determines the proliferative capacity of normal and leukaemic stem cells [J].
Lessard, J ;
Sauvageau, G .
NATURE, 2003, 423 (6937) :255-260
[17]   Dysregulated gene expression networks in human acute myelogenous leukemia stem cells [J].
Majetl, Ravindra ;
Becker, Michael W. ;
Tian, Qiang ;
Lee, Tsung-Lu Michael ;
Yan, Xiaowei ;
Liu, Rui ;
Chiang, Jung-Hsien ;
Hood, Leroy ;
Clarke, Michael F. ;
Weissman, Irving L. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (09) :3396-3401
[18]   A conceptual framework for the identification of candidate drugs and drug targets in acute promyelocytic leukemia [J].
Marstrand, T. T. ;
Borup, R. ;
Willer, A. ;
Borregaard, N. ;
Sandelin, A. ;
Porse, B. T. ;
Theilgaard-Monch, K. .
LEUKEMIA, 2010, 24 (07) :1265-1275
[19]   BloodExpress: a database of gene expression in mouse haematopoiesis [J].
Miranda-Saavedra, Diego ;
De, Subhajyoti ;
Trotter, Matthew W. ;
Teichmann, Sarah A. ;
Gottgens, Berthold .
NUCLEIC ACIDS RESEARCH, 2009, 37 :D873-D879
[20]   Hematopoiesis: An evolving paradigm for stem cell biology [J].
Orkin, Stuart H. ;
Zon, Leonard I. .
CELL, 2008, 132 (04) :631-644