Gene expression profiling of three PEL cell lines compare to three Burkitt's lymphoma lines to figure out the changed genes under KSHV latent infection.
The latency-associated nuclear antigen of Kaposi's sarcoma-associated herpesvirus modulates cellular gene expression and protects lymphoid cells from p16 INK4A-induced cell cycle arrest.
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View SamplesMaternal smoking has a severe negative effect on all stages of pregnancy that in consequence impairs fetal growth and development. Tobacco smoke-related defects are well established at the clinical level; however, little is known about molecular mechanisms underlying these pathological conditions. We thus employed a genomic approach to determine transcriptome alterations induced by maternal smoking in pregnancy. We assayed gene expression profiles in peripheral blood (M) leukocytes and placentas (PL) of pregnant smokers and those without significant exposure, and in cord blood (D) leukocytes of their babies. Comparative analyses defined significant deregulation of 193 genes in M cells, 329 genes in placentas, and 49 genes in D cells of smokers. These genes were mainly involved in xenobiotic metabolism, oxidative stress, inflammation, immunity, hematopoiesis, trophoblast differentiation, and vascularization. Functional annotation of the deregulated genes outlined processes and pathways affected by tobacco smoke. In smoker newborns, we identified several deregulated pathways associated with autoimmune diseases. The study demonstrates a limited ability of placenta to modulate toxic effects of maternal tobacco use at the gene expression level.
Transcriptome alterations in maternal and fetal cells induced by tobacco smoke.
Age, Specimen part, Subject
View SamplesPassive smoke intake by pregnant women may have detrimental effects such as spontaneous abortion, lower birth weight, stillbirth, and reduced infant lung function. To extend our knowledge on molecular effects of tobacco smoke exposure in pregnancy, we analyzed transcriptome alterations in passive smokers (PS) and compared them to those in active smokers (AS). Using Illumina Expression Beadchip with 24,526 transcript probes, gene expression patterns were assayed in placentas from PS (N=25) exposed to environmental tobacco smoke (ETS) throughout pregnancy and non-exposed (NS) counterparts (N=35), and in cord blood cells from their newborns. The ETS exposure was evaluated by questionnaire disclosure and cotinine measurement in maternal and cord bloods. A total of 196 genes were significantly deregulated in placentas of PS compared to NS. These genes were primary associated with extracellular matrix, apoptosis, blood clotting, response to stress, embryonic morphogenesis, and lipid metabolism. Cord blood of newborns of PS displayed differential expression of 116 genes encoding mainly neuronal factors, regulators of immunologic response, and protooncogenes. Gene ontology analyses highlighted some important biological processes that might be associated with placental insufficiency and fetal growth restriction in PS, such as fatty acid catabolism, coagulation, regulation of growth, and response to steroid hormone stimulus. The study demonstrates that even low dose exposure to ETS during pregnancy leads to the significant deregulation of transcriptional regulation in placental and fetal cells. The data suggest the effect of ETS on the fetus is primary indirect, mediated via deregulation of placental functions. Comparison of PS and AS indicated that ETS exposure and active smoking in pregnancy partly employ the same molecular mechanisms.
Deregulation of gene expression induced by environmental tobacco smoke exposure in pregnancy.
Age
View SamplesSorting U2OS and HeLa cells genetically modified with the Fucci System allowed us to separate cells according to cell cycle progression followed by RNA Sequencing to characterize the oscillating transcriptome in cells without the need for chemical synchronization. Overall design: HeLa cells were sorted at three timepoints, while U2OS cells were sorted at two timepoints. Each time into three groups, categorized as "G1", "S", and "G2".
Comparative cell cycle transcriptomics reveals synchronization of developmental transcription factor networks in cancer cells.
Cell line, Subject
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