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1.
Folia Biol (Praha) ; 59(1): 47-50, 2013.
Article in English | MEDLINE | ID: mdl-23537528

ABSTRACT

The sampling procedure is a crucial step in every kind of experiment. This is also true in gene expression profiling experiments, where high quality and sufficient quantity of extracted RNA plays a significant role in the experimental outcome. We have compared five different RNA extraction protocols from peripheral blood/PBMCs with the aim to define the most suitable method for the miRNA expression profiling experiments. Convincing results in terms of highest quantity and quality were obtained by the TRIzol-chloroform extraction method. The total RNA obtained using this method contained the highest portion of good-quality miRNA molecules, which was also confirmed by gene-specific real-time PCR experiments.


Subject(s)
Gene Expression Profiling , MicroRNAs/genetics , Molecular Biology/methods , Animals , Gene Expression Regulation , Humans , MicroRNAs/metabolism , Reproducibility of Results
2.
Ann Rheum Dis ; 71(6): 961-5, 2012 Jun.
Article in English | MEDLINE | ID: mdl-22186711

ABSTRACT

OBJECTIVES: HLA-DRB1*03 is strongly associated with anti-Jo-1-positive idiopathic inflammatory myopathies (IIM) and there is now increasing evidence that Jo-1 antigen is preferentially expressed in lung tissue. This study examined whether smoking was associated with the development of anti-Jo-1 antibodies in HLA-DRB1*03-positive IIM. METHODS: IIM cases were selected with concurrent information regarding HLA-DRB1 status, smoking history and anti-Jo-1 antibody status. DNA was genotyped at DRB1 using a commercial sequence-specific oligonucleotide kit. Anti-Jo-1 antibody status was established using a line blot assay or immunoprecipitation. RESULTS: 557 Caucasian IIM patients were recruited from Hungary (181), UK (99), Sweden (94) and Czech Republic (183). Smoking frequency was increased in anti-Jo-1-positive IIM cases, and reached statistical significance in Hungarian IIM (45% Jo-1-positive vs 17% Jo-1-negative, OR 3.94, 95% CI 1.53 to 9.89, p<0.0001). A strong association between HLA-DRB1*03 and anti-Jo-1 status was observed across all four cohorts (DRB1*03 frequency: 74% Jo-1-positive vs 35% Jo-1-negative, OR 5.55, 95% CI 3.42 to 9.14, p<0.0001). The frequency of HLA-DRB1*03 was increased in smokers. The frequency of anti-Jo-1 was increased in DRB1*03-positive smokers vs DRB1*03-negative non-smokers (42% vs 8%, OR 7.75, 95% CI 4.21 to 14.28, p<0.0001) and DRB1*03-positive non-smokers (42% vs 31%, p=0.08). In DRB1*03-negative patients, anti-Jo-1 status between smokers and non-smokers was not significantly different. No significant interaction was noted between smoking and DRB1*03 status using anti-Jo-1 as the outcome measure. CONCLUSION: Smoking appears to be associated with an increased risk of possession of anti-Jo-1 in HLA-DRB1*03-positive IIM cases. The authors hypothesise that an interaction between HLA-DRB1*03 and smoking may prime the development of anti-Jo-1 antibodies.


Subject(s)
Antibodies, Antinuclear/immunology , HLA-DRB1 Chains/immunology , Myositis/epidemiology , Myositis/immunology , Smoking/epidemiology , Smoking/immunology , Adult , Age of Onset , Antibodies, Antinuclear/blood , Europe/epidemiology , Female , Genotype , HLA-DRB1 Chains/genetics , Humans , Male , Middle Aged , Myositis/genetics , Risk Factors , Seroepidemiologic Studies , Smoking/genetics , White People/genetics , White People/statistics & numerical data
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