scholarly journals Gene Expression Profiling Specifies Chemokine, Mitochondrial and Lipid Metabolism Signatures in Leprosy

PLoS ONE ◽  
2013 ◽  
Vol 8 (6) ◽  
pp. e64748 ◽  
Author(s):  
Luana Tatiana Albuquerque Guerreiro ◽  
Anna Beatriz Robottom-Ferreira ◽  
Marcelo Ribeiro-Alves ◽  
Thiago Gomes Toledo-Pinto ◽  
Tiana Rosa Brito ◽  
...  
Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 3447-3447
Author(s):  
Alessandra Trojani ◽  
Barbara Di Camillo ◽  
Alessandra Tedeschi ◽  
Lodola Milena ◽  
Simona Montesano ◽  
...  

Abstract Abstract 3447 Several studies have focused on the identification of biological markers that influence the clinical heterogeneity of Chronic lymphocytic leukemia (CLL). Until now IGVH and ZAP-70 are the most relevant prognostic markers in CLL suggesting the separation of two patient subgroups: with good MTZAP-70− (mutated and ZAP-70 negative) and poor UMZAP-70+ (unmutated and ZAP-70 positive) prognosis. Gene expression profiling in CLL has been demonstrated to be useful for the development of new biomarkers as prognostic factors able to predict the clinical course, the response and resistance to therapy. The aim of this study has focused on the identification of different molecular signatures capable of revealing new potential molecular predictors for prognostic assessment or genetic risk and intriguing biological pathways. We have determined gene expression profiling of B cells in 112 CLL patients divided into three classes: the first with MT and ZAP-70−, the second with UM and ZAP-70+, and the third included both UM ZAP-70− and MT ZAP-70+ using Affymetrix HG-U133 Plus 2.0. Among the set of 65 genes identified by microarray analysis we have found: AGPAT2, APP, ARSD, CHPT1, CRY1, DCLK2, LPL, MBOAT1, P2RX1, RIMKLB, ZAP-70, ZNF66 whose expressions were higher in second class (UMZAP-70+) while ADAM29, EGR3, FGL2, FUT8, NRIP1, TGFBR3, YPEL1 showed higher expression levels in first class (MTZAP-70−). Both analysis of differential expression and cluster analysis revealed that CLL patients were better partitioned in two rather than in three classes, based on their expression profiles. We have also noted that the expression signature differentiating between MTZAP-70− and UMZAP-70+ B cells from CLL patients showed that gene coding for enzymes which regulate lipid metabolism (sphingolipid/glycerolipid/glycerophospholipid) ARSD, LPL, MBOAT1, CHPT1, AGPAT4, AGPAT2, PLD1 were overexpressed in UMZAP-70+ compared to MTZAP-70−. In particular we focused on ARSD as a new gene in CLL whose expression was consistently higher in UMZAP-70+ compared to MTZAP-70− CLL B cells. Western blotting experiments showed that the expression level of ARSD protein was 1.8 times higher in UMZAP-70+ compared to MTZAP-70− B cells (p-value=0.0002), whereas ARSD protein levels in B cells from healthy donors (CTRL) were 2.03 (p-value=0.0006) and 3.73 (p-value=0.001) times lower compared to MTZAP-70− and UMZAP-70+, respectively. The marked increase in ARSD expression in UMZAP-70+ compared to MTZAP-70− and CTRLs was statistically significant as shown in Figure 1. At present our attention has been focused on ARSD role in predicting the entry in therapy. By means of a ROC analysis carried out with the Youden's method to determine the cut-off value we have found it at 99, so that we have pragmatically set it at 100. Even if the patient number is limited the difference in treatment-free survivorship between the two groups (above and below 100) was statistically significant (p = 0.0205) and the cut-off value used as prognostic index showed 66.7% sensitivity and positive predictive value and 75.0% specificity and negative predictive value. Differences in treatment-free survival are showed in figure 2.Figure 2Treatment-free survivalFigure 2. Treatment-free survival In conclusion 65 genes were differentially expressed in MTZAP-70− vs UMZAP-70+ CLL patients; among the 65 genes 7 were involved in lipid metabolism, in particular ARSD being identified in sphingolipid pathway. Western blotting experiments detected significantly higher ARSD levels in UMZAP-70+ compared to MTZAP-70− and CTRLs B cells. Future studies will assess the role of ARSD as a prognostic factor in clinical trials combined with IGVH and ZAP-70 as well as the sphingolipid metabolism as a putative new biological mechanism in CLL. Disclosures: No relevant conflicts of interest to declare.


2010 ◽  
Vol 84 (10) ◽  
pp. 5404-5414 ◽  
Author(s):  
Samantha Blackham ◽  
Andrew Baillie ◽  
Fadel Al-Hababi ◽  
Katja Remlinger ◽  
Shihyun You ◽  
...  

ABSTRACT Hepatitis C virus (HCV) is a leading cause of chronic liver disease. The identification and characterization of key host cellular factors that play a role in the HCV replication cycle are important for the understanding of disease pathogenesis and the identification of novel antiviral therapeutic targets. Gene expression profiling of JFH-1-infected Huh7 cells by microarray analysis was performed to identify host cellular genes that are transcriptionally regulated by infection. The expression of host genes involved in cellular defense mechanisms (apoptosis, proliferation, and antioxidant responses), cellular metabolism (lipid and protein metabolism), and intracellular transport (vesicle trafficking and cytoskeleton regulation) was significantly altered by HCV infection. The gene expression patterns identified provide insight into the potential mechanisms that contribute to HCV-associated pathogenesis. These include an increase in proinflammatory and proapoptotic signaling and a decrease in the antioxidant response pathways of the infected cell. To investigate whether any of the host genes regulated by infection were required by HCV during replication, small interfering RNA (siRNA) silencing of host gene expression in HCV-infected cells was performed. Decreasing the expression of host genes involved in lipid metabolism (TXNIP and CYP1A1 genes) and intracellular transport (RAB33b and ABLIM3 genes) reduced the replication and secretion of HCV, indicating that they may be important factors for the virus replication cycle. These results show that major changes in the expression of many different genes in target cells may be crucial in determining the outcome of HCV infection.


2002 ◽  
Vol 69 ◽  
pp. 135-142 ◽  
Author(s):  
Elena M. Comelli ◽  
Margarida Amado ◽  
Steven R. Head ◽  
James C. Paulson

The development of microarray technology offers the unprecedented possibility of studying the expression of thousands of genes in one experiment. Its exploitation in the glycobiology field will eventually allow the parallel investigation of the expression of many glycosyltransferases, which will ultimately lead to an understanding of the regulation of glycoconjugate synthesis. While numerous gene arrays are available on the market, e.g. the Affymetrix GeneChip® arrays, glycosyltransferases are not adequately represented, which makes comprehensive surveys of their gene expression difficult. This chapter describes the main issues related to the establishment of a custom glycogenes array.


2007 ◽  
Vol 177 (4S) ◽  
pp. 93-93
Author(s):  
Toshiyuki Tsunoda ◽  
Junichi Inocuchi ◽  
Darren Tyson ◽  
Seiji Naito ◽  
David K. Ornstein

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