To reveal the biology of AML, we compared gene-expression profiles between normal hematopoietic cells from 38 healthy donors and leukemic blasts (LBs) from 26 AML patients. We defined the comparison of LB and unselected BM as experiment 1, LB and CD34+ isolated from BM as experiment 2, LB and unselected PB as experiment 3, and LB and CD34+ isolated from PB as experiment 4. Then, protein–protein interaction network of DEGs was constructed to identify critical genes. Regulatory impact factors were used to identify critical transcription factors from the differential co-expression network constructed via reanalyzing the microarray profile from the perspective of differential co-expression. Gene ontology enrichment was performed to extract biological meaning. The comparison among the number of DEGs obtained in four experiments showed that cells did not tend to differentiation and CD34+ was more similar to cancer stem cells. Based on the results of protein–protein interaction network, CREBBP, F2RL1, MCM2, and TP53 were respectively the key genes in experiments 1, 2, 3, and 4. From gene ontology analysis, we found that immune response was the most common one in four stages. Our results might provide a platform for determining the pathology and therapy of AML.
This paper aims to clarify the concept of occupational burnout (OB) as well as develop appropriate methods to relieve or prevent OB in the nursing profession.
Walker and Avant’s eight-step approach of concept analysis was applied.
OB was defined as a chronic form of work-related stress. Accurately, it was characterized by emotional exhaustion, depersonalization/cynicism, and reduced personal accomplishment/inefficacy. Antecedents of burnout included (a) demographic characteristics; (b) chronic exposure to work-related stressors; (c) quantitative and qualitative job demands; (d) lack of job resources; and (e) personality traits. Consequences involved (a) individual’s unfavorable quality of life; (b) negative impact on the organization; and (c) poor services quality. Although the Maslach Burnout Inventory (MBI) is perceived as an ideal tool to measure burnout and hence, it is used worldwide, whether this instrument fits to measure this concept for nurses has still not yet been verified and thus further research is needed.
By proposing a comprehensive definition of the concept, this analysis contributes to recognition of the process of OB of nurses. All nurses are vulnerable to OB. Hence, burnout in nursing needs to be recognized as a critical factor in the delivery of safe patient care. It proposes that the prevention of OB would be achieved through team communication training, mindfulness group, education, etc.
Introduction: A real-time RT-PCR method for identification and quantification of porcine epidemic diarrhoea virus (PEDV) strains in China was developed.
Material and Methods: Based on the conserved sequence of the PEDV nucleocapsid (N) gene, a primer pair and probe were designed to establish a TaqMan-MGB real-time RT-PCR assay for quantitative detection of the virus. The sequence was cloned into the pMD18-T vector and a series of diluted recombinant plasmids were used to generate a standard curve with an R2 value of 0.999.
Results: The developed quantitative PCR assay detected viral titres as low as 0.1 TCID50 with high specificity and no cross-reaction with other porcine viruses (PoRV, TGEV, PRRSV, or CSFV). The intra-batch and inter-batch coefficients of variation were both less than 1%, which indicated good reproducibility. Thirty clinical diarrhoea samples obtained from pigs in Shanghai and Fujian were analysed using this quantitative PCR assay. Out of these samples, 93.3% were found to be PEDV positive.
Conclusion: This approach is suitable for clinical sample identification and pathogenesis studies.
A simple and coumarin-based fluorescence probe has been designed and synthesized with silyl group as recognition group of fluoride ions (F−) in this study. The results showed that the fluorescence intensity of the probe displayed prominent enhancement with addition of F− at 445 nm with incubation of 1 min. There was an excellent linear relationship between fluorescence intensity and fluoride concentration from 0 to 30 μM (0~0.57 ppm), which offered the important condition for the quantitative analysis. In addition, the highly selective response to fluorion, the low detection limit with 28 nM (0.532 ppb), low toxicity and bioimaging afforded an advantage for practical application and detecting fluoride in biological systerms.