BACKGROUND: Allergic diseases are thought to involve dysregulated activation of T cells including CD4+ lymphocytes. T-cell activation results in changes in gene expression, but the optimal method to study gene expression profiles in T cells, and how this changes over time, are not known. METHODS: Circulating CD4+ T cells were obtained from subjects with atopic asthma, nonatopic asthma or nonallergic controls, and total mRNA was rapidly isolated. Atopy was defined as positive skin prick test to one of nine allergens. Gene expression was analyzed using hybridization and Affymetrix oligonucleotide arrays (Hu133A and Hu133B chips, n = 84), or by reverse transcription-polymerase chain reaction (RT-PCR) with a pathway-targeted array (Human Th1-Th2-Th3 RT(2) Profiler PCR Array, Superarray, n = 16). RESULTS: Using Affymetrix arrays, it was difficult to discern a dominant allergy-associated profile because of heterogeneity in gene expression profiles. In contrast, a Th2-like signature was evident using RT-PCR arrays with increased expression of expected genes (e.g. IL-4, 5, 9, and 13, all P < 0.05) as well as unexpected gene transcripts (e.g. osteopontin). Gene expression profiles were relatively stable over time in circulating CD4+ T cells from two subjects using both platforms. CONCLUSIONS: Unstimulated CD4+ T cells isolated from allergic subjects express a characteristic profile of genes when analyzed using RT-PCR based microarrays.
BACKGROUND:Allergic diseases are thought to involve dysregulated activation of T cells including CD4+ lymphocytes. T-cell activation results in changes in gene expression, but the optimal method to study gene expression profiles in T cells, and how this changes over time, are not known. METHODS: Circulating CD4+ T cells were obtained from subjects with atopic asthma, nonatopic asthma or nonallergic controls, and total mRNA was rapidly isolated. Atopy was defined as positive skin prick test to one of nine allergens. Gene expression was analyzed using hybridization and Affymetrix oligonucleotide arrays (Hu133A and Hu133B chips, n = 84), or by reverse transcription-polymerase chain reaction (RT-PCR) with a pathway-targeted array (HumanTh1-Th2-Th3 RT(2) Profiler PCR Array, Superarray, n = 16). RESULTS: Using Affymetrix arrays, it was difficult to discern a dominant allergy-associated profile because of heterogeneity in gene expression profiles. In contrast, a Th2-like signature was evident using RT-PCR arrays with increased expression of expected genes (e.g. IL-4, 5, 9, and 13, all P < 0.05) as well as unexpected gene transcripts (e.g. osteopontin). Gene expression profiles were relatively stable over time in circulating CD4+ T cells from two subjects using both platforms. CONCLUSIONS: Unstimulated CD4+ T cells isolated from allergic subjects express a characteristic profile of genes when analyzed using RT-PCR based microarrays.
Authors: Tara Sabo-Attwood; Maria E Ramos-Nino; Maria Eugenia-Ariza; Maximilian B Macpherson; Kelly J Butnor; Pamela C Vacek; Sean P McGee; Jessica C Clark; Chad Steele; Brooke T Mossman Journal: Am J Pathol Date: 2011-05 Impact factor: 4.307
Authors: Przemysław Lewkowicz; Hanna Cwiklińska; Marcin P Mycko; Maria Cichalewska; Małgorzata Domowicz; Natalia Lewkowicz; Anna Jurewicz; Krzysztof W Selmaj Journal: J Neurosci Date: 2015-05-13 Impact factor: 6.167
Authors: P Gao; D N Grigoryev; N M Rafaels; D Mu; J M Wright; C Cheadle; A Togias; T H Beaty; R A Mathias; J T Schroeder; K C Barnes Journal: Clin Exp Allergy Date: 2010-07-04 Impact factor: 5.018
Authors: Deborah R Boone; Maria-Adelaide Micci; Isabella G Taglialatela; Judy L Hellmich; Harris A Weisz; Min Bi; Donald S Prough; Douglas S DeWitt; Helen L Hellmich Journal: PLoS One Date: 2015-05-27 Impact factor: 3.240