Ectopic expression of AP4 in human colorectal cancer cells DLD-1 for different times
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Rene Jackstadt
PROVIDER: E-GEOD-46578 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:To characterize the transcriptome of the transcription factor AP4 DLD-1 cells were infected with AP4 coding viruses for different periods of time. Adenovirus amplification and purification was performed as previously described (He et al., 1998). The minimal amount of virus needed to reach more than 90% infection efficiency was determined by monitoring GFP signals with fluorescence microscopy. DLD-1 cells were infected in serum-free medium with adenovirus for 3 hours. After removal an equal amount of medium containing 20% FBS was added.
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Project description:Full title: Genome-wide expression profiles of primary human small airway epithelial cells (SAECs) infected with different adenovirus mutants. Expression arrays were used to analyze global gene expression changes in SAECs infected with either mock, dE1B-55k, or d55k/dORF3 adenovirus at 36 hours post infection, as well as nutlin treatment for 12 hours. Two independent experiments were performed with each experimental condition done in duplicate. CEL files were imported and analyzed with Partek Analysis software.
2010-08-30 | E-GEOD-20607 | biostudies-arrayexpress
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Project description:While blood transcriptional profiling has improved diagnosis and understanding of disease pathogenesis of adult tuberculosis (TB), no studies applying gene expression profiling of children with TB have been described so far. In this study, we have compared whole blood gene expression in childhood TB patients, as well as in healthy latently infected (LTBI) and uninfected (HC) children in a cohort of Warao Amerindians in the Delta Amacuro in Venezuela. We identified a 116-gene signature set by means of random forest analysis that showed an average prediction error of 11% for TB vs. LTBI and for TB vs. LTBI vs. HC in our dataset. Furthermore, a minimal set of only 9 genes showed a significant predictive value for all previously published adult studies using whole blood gene expression, with average prediction errors between 17% and 23%. Additionally, a minimal gene set of 42 genes with a comparable predictive value to the 116-gene set in both our dataset and the previously published literature cohorts for the comparsion of TB vs. LTBI vs. HC was identified. In order to identify a robust representative gene set that would hold stand among different ethnic populations, we selected ten genes that were highly discriminative between TB, LTBI and HC in all literature datasets as well as in our dataset. Functional annotation of these ten genes highlights a possible role for genes involved in calcium signaling and calcium metabolism as biomarkers for active TB. These ten genes were validated by quantitative real-time polymerase chain reaction in an additional cohort of 54 Warao Amerindian children with LTBI, HC and non-TB pneumonia. Decision tree analysis indicated that five of the ten genes were sufficient to diagnose 78% of the TB cases correctly with 100% specificity. We conclude that our data justify the further exploration of our signature set as biomarkers to diagnose childhood TB. Furthermore, as the identification of different biomarkers in ethnically distinct cohorts is apparent, it is important to cross-validate newly identified markers in all available cohorts. In this study, 27 children 1 to 15 years of age with TB (n=9), LTBI (n=9) and HC (n=9) were recruited between May 2010 and December 2010. Tuberculin skin test (TST) and QuantiFERON-TB Gold In-Tube assay (QFT-GIT) were performed on all children. A sputum sample was collected from all children with expectoration and a gastric aspirate was taken from all children under 6 years of age. Children with active TB were diagnosed based on culture of M. tuberculosis (n=2) or on the basis of clinical, epidemiological and radiological features (n=7). 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