Study of the function of COX19 by transcriptional profiling of Arabidopsis thaliana transformed with artificial microRNA to reduce expression of COX19
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PROVIDER: PRJNA433815 | ENA |
REPOSITORIES: ENA
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Project description:Analysis of transcriptional profiling of Arabidopsis Col-0 leaves from wild-type and plants transformed with artificial microRNA to reduced expression of AtCOX19-1 and AtCOX19-2
2018-02-13 | GSE110461 | GEO
Project description:RNA sequencing of salinity tolerant Arabidopsis thaliana mutants expressing zinc finger artificial transcription factors (ZF-ATFs), with and without salt treatment (0 mM and 75 mM NaCl).
2018-07-27 | GSE71488 | GEO
Project description:MicroRNA levels in non-transformed BEAS-2B bronchial epithelial cells, two lines of mycoplasma transformed BEAS-2B cells, and A549 lung adenocarcinoma cells were measured. Microarray analyses of 1145 microRNAs in A549 lung adenocarcinoma cells and two other transformed lung cell types relative to BEAS-2B bronchial epithelial cells were performed. 106 miRNAs were down-regulated and 69 miRNAs were up-regulated in all three transformed lines
2014-03-11 | GSE55748 | GEO
Project description:MicroRNA levels in non-transformed BEAS-2B bronchial epithelial cells, two lines of mycoplasma transformed BEAS-2B cells, and A549 lung adenocarcinoma cells were measured. Microarray analyses of 1145 microRNAs in A549 lung adenocarcinoma cells and two other transformed lung cell types relative to BEAS-2B bronchial epithelial cells were performed. 106 miRNAs were down-regulated and 69 miRNAs were up-regulated in all three transformed lines The control cells were the human non-transformed BEAS-2B cells (Lechner JF, LaVeck MA. A serum-free method for culturing normal human bronchial epithelial cells at clonal density. J. Tissue Culture Methods 9: 43-48, 1985). The BEAStra1 and BEAStra2 cells were replicate populations of BEAS-2B cells that were transformed following infection with mycoplasma (Jiang, S., Zhang, S., Langenfeld, J., Lo, S.C., and Rogers, M.B., Mycoplasma infection transforms normal lung cells and induces bone morphogenetic protein 2 expression by post-transcriptional mechanisms. J Cell Biochem. 104(2): 580-594, 2007). A459 lung adenocarcinoma cells were derived from a human lung tumor (Giard DJ, et al. In vitro cultivation of human tumors: establishment of cell lines derived from a series of solid tumors. J. Natl. Cancer Inst. 51: 1417-1423, 1973. PubMed: 4357758).
2014-03-11 | E-GEOD-55748 | biostudies-arrayexpress
Project description:MicroRNAs are a group of non-coding small RNAs with lengths around 21~23nt and function as inhibitors to repress mRNA translation by targeting their 3' untranslated region. Recent research shows that microRNAs are involved in many biological processes such as cell growth, development and cancer, etc. Here, we introduce a novel artificial microRNA p-27-5p which can inhibit cell proliferation in breast cancer cell lines. This data shows the expression changes in breast cancer cell line T-47D with the effect of artificial miR-p-27-5p.
2013-04-15 | GSE28657 | GEO
Project description:BackgroundHealthcaare delivery will change through the increasing use of artificial intelligence (AI). Physicians are likely to be among the professions most affected, though to what extent is not yet clear.ObjectiveWe analyzed physicians' and AI experts' stances towards AI-induced changes. This concerned (1) physicians' tasks, (2) job replacement risk, and (3) implications for the ways of working, including human-AI interaction, changes in job profiles, and hierarchical and cross-professional collaboration patterns.MethodsWe adopted an exploratory, qualitative research approach, using semi-structured interviews with 24 experts in the fields of AI and medicine, medical informatics, digital medicine, and medical education and training. Thematic analysis of the interview transcripts was performed.ResultsSpecialized tasks currently performed by physicians in all areas of medicine would likely be taken over by AI, including bureaucratic tasks, clinical decision support, and research. However, the concern that physicians will be replaced by an AI system is unfounded, according to experts; AI systems today would be designed only for a specific use case and could not replace the human factor in the patient-physician relationship. Nevertheless, the job profile and professional role of physicians would be transformed as a result of new forms of human-AI collaboration and shifts to higher-value activities. AI could spur novel, more interprofessional teams in medical practice and research and, eventually, democratization and de-hierarchization.ConclusionsThe study highlights changes in job profiles of physicians and outlines demands for new categories of medical professionals considering AI-induced changes of work. Physicians should redefine their self-image and assume more responsibility in the age of AI-supported medicine. There is a need for the development of scenarios and concepts for future job profiles in the health professions as well as their education and training.
| S-EPMC9756357 | biostudies-literature
Project description:MicroRNAs are a group of non-coding small RNAs with lengths around 21~23nt and function as inhibitors to repress mRNA translation by targeting their 3' untranslated region. Recent research shows that microRNAs are involved in many biological processes such as cell growth, development and cancer, etc. Here, we introduce a novel artificial microRNA p-27-5p which can inhibit cell proliferation in breast cancer cell lines. This data shows the expression changes in breast cancer cell line T-47D with the effect of artificial miR-p-27-5p. 4 total samples were analyzed. We generated mimic/control paired samples with 2 repeats.
2013-04-15 | E-GEOD-28657 | biostudies-arrayexpress
Project description:Artificial stream biofilm amplicon sequencing
| PRJNA1144803 | ENA
Project description:In order to characterize alterations in cellular regulatory mechanisms associated with MDV reactivation, we employed microarray analysis to identify changes in gene expression in chemically-reactivated MDV transformed cell lines, specifically MSB1, RP2 and CU115. Differentially expressed genes identified in the MDV-transformed cell lines were then compared against differentially expressed genes in the REV-transformed CU91 cell line. This step was done to reduce the number of false positives (i.e. genes likely responding solely to sodium butyrate rather than MDV reactivation). Multiple cellular pathways are also affected by MDV reactivation, including those associated with apoptosis, the cell cycle, DNA repair, and immune response.
2018-08-23 | GSE103028 | GEO