Literature DB >> 15784300

Microarray-based gene expression profiling of hematologic malignancies: basic concepts and clinical applications.

Ofer Margalit1, Raz Somech, Ninette Amariglio, Gideon Rechavi.   

Abstract

Each cell in our body contains a set of tens of thousands of genes, out of which a set of several thousands determines the cell's characteristics. The deciphering of the sequence of the human genome combined with the technical feasibility to simultaneously measure the gene expression levels of thousands of genes had revolutionized our understanding of cellular processes. This ability has great significance in our comprehension of the mechanisms that bring about diseases in general and hematologic malignancies in particular. Several new high-throughput technologies, commonly referred as microarrays, enable us to perform such measurements and concurrently, bioinformatic and statistical tools were developed to analyze the data obtained by using microarrays. In this review we present examples of analyses of hematologic malignancies using microarrays which contribute to refinement of diagnosis, identification of novel disease subtypes and of relationships between diseases that were previously considered to be unrelated, prediction of response to treatment and identification of genes and pathways linked to pathogenesis, thus defining targets to rational therapy.

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Year:  2004        PMID: 15784300     DOI: 10.1016/j.blre.2004.11.003

Source DB:  PubMed          Journal:  Blood Rev        ISSN: 0268-960X            Impact factor:   8.250


  6 in total

Review 1.  Applications of molecular imaging.

Authors:  Craig J Galbán; Stefanie Galbán; Marcian E Van Dort; Gary D Luker; Mahaveer S Bhojani; Alnawaz Rehemtulla; Brian D Ross
Journal:  Prog Mol Biol Transl Sci       Date:  2010       Impact factor: 3.622

2.  High-content flow cytometry and temporal data analysis for defining a cellular signature of graft-versus-host disease.

Authors:  Ryan Remy Brinkman; Maura Gasparetto; Shang-Jung Jessica Lee; Albert J Ribickas; Janelle Perkins; William Janssen; Renee Smiley; Clay Smith
Journal:  Biol Blood Marrow Transplant       Date:  2007-04-06       Impact factor: 5.742

3.  Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data.

Authors:  Ian B Jeffery; Desmond G Higgins; Aedín C Culhane
Journal:  BMC Bioinformatics       Date:  2006-07-26       Impact factor: 3.169

4.  High Throughput FISH Analysis: A New, Sensitive Option For Evaluation of Hematological Malignancies.

Authors:  Hakan Savlı; Nilüfer Uzülmez; Zeynep Ilkay; Duygu Yavuz; Deniz Sünnetçi; Abdullah Hacıhanifioğlu; Naci Cine
Journal:  Turk J Haematol       Date:  2013-06-05       Impact factor: 1.831

5.  Waldenström's macroglobulinemia harbors a unique proteome where Ku70 is severely underexpressed as compared with other B-lymphoproliferative disorders.

Authors:  A Perrot; C Pionneau; N Azar; C Baillou; F M Lemoine; V Leblond; H Merle-Béral; M-C Béné; R Herbrecht; S Bahram; L Vallat
Journal:  Blood Cancer J       Date:  2012-09-07       Impact factor: 11.037

Review 6.  Combining transcriptional profiling and genetic linkage analysis to uncover gene networks operating in hematopoietic stem cells and their progeny.

Authors:  Alice Gerrits; Brad Dykstra; Marcel Otten; Leonid Bystrykh; Gerald de Haan
Journal:  Immunogenetics       Date:  2008-06-17       Impact factor: 2.846

  6 in total

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