A framework to identify gene expression profiles in a model of inflammation induced by lipopolysaccharide after treatment with thalidomide

• Published in: BMC research notes 2012-06, Vol.5 (1), p.292-292, Article 292
• Main Authors: Paiva, Renata T, Saliba, Alessandra M, Fulco, Tatiana O, Sales, Jorgenilce de Souza, de Carvalho, Daniel Serra, Sampaio, Elizabeth P, Lopes, Ulisses G, Sarno, Euzenir N, Nobre, Flavio F
• Format: Article
• Language: English
• Subjects: Analysis; Anti-Inflammatory Agents - pharmacology; Apoptosis; Arrays; Bioinformatics; Care and treatment; Cells; Cells, Cultured; Colleges & universities; Computational Biology; Cytokines; DNA microarrays; Experiments; Gene expression; Gene Expression Profiling - methods; Gene Expression Regulation - drug effects; Genes; Humans; Inflammation; Inflammation - drug therapy; Inflammation - genetics; Inflammation - immunology; Inflammation model; Leprosy; Leukocytes, Mononuclear - drug effects; Leukocytes, Mononuclear - immunology; Leukocytes, Mononuclear - metabolism; Lipopolysaccharide; Lipopolysaccharides - pharmacology; Microarray; Mitogens; Oligonucleotide Array Sequence Analysis; Ontology; Proteins; Rank product; Rankings; Real-Time Polymerase Chain Reaction; RNA, Messenger - metabolism; Rodents; Thalidomide; Thalidomide - pharmacology
• ISSN: 1756-0500; 1756-0500
• DOI: 10.1186/1756-0500-5-292

Thalidomide is an anti-inflammatory and anti-angiogenic drug currently used for the treatment of several diseases, including erythema nodosum leprosum, which occurs in patients with lepromatous leprosy. In this research, we use DNA microarray analysis to identify the impact of thalidomide on gene expression responses in human cells after lipopolysaccharide (LPS) stimulation. We employed a two-stage framework. Initially, we identified 1584 altered genes in response to LPS. Modulation of this set of genes was then analyzed in the LPS stimulated cells treated with thalidomide. We identified 64 genes with altered expression induced by thalidomide using the rank product method. In addition, the lists of up-regulated and down-regulated genes were investigated by means of bioinformatics functional analysis, which allowed for the identification of biological processes affected by thalidomide. Confirmatory analysis was done in five of the identified genes using real time PCR. The results showed some genes that can further our understanding of the biological mechanisms in the action of thalidomide. Of the five genes evaluated with real time PCR, three were down regulated and two were up regulated confirming the initial results of the microarray analysis.