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Gene fusions caused by chromosomal translocations have become the main pathogenic factors that initiate leukemogenesis. Zinc finger protein 384 (ZNF384) fusion, as an atypical fusion gene in acute leukemia (AL), has widely been identified in different age groups. ZNF384 rearranged 18 genes, with E1A binding protein p300 (EP300), transcription factor 3, (TCF3), and TATA-box binding protein-associated factor 15 (TAF15) being the most common fusion partners. These fusion proteins maintain the complete structure of ZNF384, but the fusion partners are missing in varying degrees, indicating that the mechanisms behind different subtypes of carcinogenesis have similarities. The mechanism of ZNF384-rearranged AL is also being actively investigated. It is mainly believed that the fusion protein regulates the transcription and expression of downstream proteins through chromatin remodeling, and plays a potential role in the differentiation of hematopoietic stem cells, the proliferation and apoptosis of cancer cells and genome repair. Patients with ZNF384 fusions express both lymphoid and myeloid-specific antigens, which have lineage-transforming properties during disease progression. The diversity of immunophenotypes leads to ambiguity in treatment options and diverse outcomes in prognosis studies, and affects the clinical outcome of patients together with fusion subtype and age of onset. Through the statistical analysis of published cases and large-scale cohort studies in the past 10 years, the incidence of ZNF384 fusion in AL and the frequency of each fusion subtype in the context of existing research were further confirmed. The impact of different treatment methods on the prognosis of patients was analyzed, and the identified mechanisms were summarized in order to provide reference for subsequent diagnosis, treatment and research of this unique AL subtype. [ABSTRACT FROM AUTHOR]

Copyright of Electric Power Automation Equipment / Dianli Zidonghua Shebei is the property of Electric Power Automation Equipment Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Wool Textile Journal is the property of National Wool Textile Science & Technology Information Center and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In view of the disadvantages of computing complexity, slow calculation rate and poor reusability in topological analysis methods, and while the scale of distribution system is extended or the state of switchers changed, it is not easy to reflect the network topological dynamic rapidly. This paper proposed a new high-speed dynamic topological analysis method of distribution system. Under the normal operation, the distribution system would be divided into multiple branch chain according to the characters of the nodes and established the node branch chain matrix to describe network structure. The static electrical islands of distribution system were quickly completed analysis by using the adjacency matrix notation. If the network structure was dynamic changed, it locally modified the topological structure and the node branch chain matrix of distribution system by using direction depth-first search method. Numeric experimental results show that the proposed method reduces significantly the node number in the process of search. It has low computational complexity and improves the dynamic topological analysis speed of distribution system. It provides an effective method for dynamic analysis of different distribution network structures. [ABSTRACT FROM AUTHOR]

Copyright of Electric Machines & Control / Dianji Yu Kongzhi Xuebao is the property of Electric Machines & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)