The Immunological Genome Project: networks of gene expression in immune cells

The Immunological Genome Project combines immunology and computational biology laboratories in an effort to establish a complete 'road map' of gene-expression and regulatory networks in all immune cells

[1]  P. Sperryn,et al.  Blood. , 1989, British journal of sports medicine.

[2]  AC Tose.  Cell , 1993, Cell.

[3]  김삼묘,et al.  “Bioinformatics” 특집을 내면서 , 2000 .

[4]  Susan M. Kaech,et al.  Molecular and Functional Profiling of Memory CD8 T Cell Differentiation , 2002, Cell.

[5]  Virginia Pascual,et al.  Interferon and Granulopoiesis Signatures in Systemic Lupus Erythematosus Blood , 2003, The Journal of experimental medicine.

[6]  Damien Chaussabel,et al.  Relationships Among Murine CD11chigh Dendritic Cell Subsets as Revealed by Baseline Gene Expression Patterns1 , 2003, The Journal of Immunology.

[7]  D. Pe’er,et al.  Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data , 2003, Nature Genetics.

[8]  Thomas Seidl,et al.  Rules for Gene Usage Inferred from a Comparison of Large-Scale Gene Expression Profiles of T and B Lymphocyte Development 1 , 2003, The Journal of Immunology.

[9]  C. Benoist,et al.  Progression to islet destruction in a cyclophosphamide-induced transgenic model: a microarray overview. , 2004, Diabetes.

[10]  T. Golub,et al.  Genomic approaches to hematologic malignancies. , 2004, Blood.

[11]  K. Hogquist,et al.  The Regulated Expression of a Diverse Set of Genes during Thymocyte Positive Selection In Vivo1 , 2004, The Journal of Immunology.

[12]  S. Batalov,et al.  A gene atlas of the mouse and human protein-encoding transcriptomes. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[13]  A. Rudensky,et al.  Regulatory T cell lineage specification by the forkhead transcription factor foxp3. , 2005, Immunity.

[14]  Alexander R. Abbas,et al.  Immune response in silico (IRIS): immune-specific genes identified from a compendium of microarray expression data , 2005, Genes and Immunity.

[15]  J. Collins,et al.  Chemogenomic profiling on a genome-wide scale using reverse-engineered gene networks , 2005, Nature Biotechnology.

[16]  Kathleen F. Kerr,et al.  Standardizing global gene expression analysis between laboratories and across platforms , 2005, Nature Methods.

[17]  L. Wilkinson.  Immunity , 1891, The Lancet.

[18]  R. Melamed,et al.  Gene expression microarrays: glimpses of the immunological genome , 2006, Nature Immunology.

[19]  Hanlee P. Ji,et al.  The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements. , 2006, Nature biotechnology.

[20]  Heidi J. C. Ellis,et al.  Conceptual-level workflow modeling of scientific experiments using NMR as a case study , 2007, BMC Bioinformatics.

[21]  BMC Bioinformatics , 2005 .

[22]  Giancarlo Mauri,et al.  The Genopolis Microarray Database , 2007, BMC Bioinformatics.

[23]  Masato Tanaka,et al.  Construction of an open-access database that integrates cross-reference information from the transcriptome and proteome of immune cells , 2007, Bioinform..

[24]  H. Lodish,et al.  Micromanagement of the immune system by microRNAs , 2008, Nature Reviews Immunology.

[25]  Richard Barnett.  Diabetes , 1904, The Lancet.