A Rule-based Skyline Computation over a dynamic database

Skyline query which relies on the notion of Pareto dominance filters the data items from a database by ensuring only those data items that are not worse than any others are selected as skylines. However, the dynamic nature of databases in which their states and/or structures change throughout their lifetime to incorporate the current and latest information of database applications, requires a new set of skylines to be derived. Blindly computing skylines on the new state/structure of a database is inefficient, as not all the data items are affected by the changes. Hence, this paper proposes a rule-based approach in tackling the above issue with the main aim at avoiding unnecessary skyline computations. Based on the type of operation that changes the state/structure of a database, i.e. insert/delete/update a data item(s) or add/remove a dimension(s), a set of rules are defined. Besides, the prominent dominance relationships when pairwise comparisons are performed are retained; which are then utilised in the process of computing a new set of skylines. Several analyses have been conducted to evaluate the performance and prove the efficiency of our proposed solution

KDM1A microenvironment, its oncogenic potential, and therapeutic significance

The lysine-specific histone demethylase 1A (KDM1A) was the first demethylase to challenge the concept of the irreversible nature of methylation marks. KDM1A, containing a flavin adenine dinucleotide (FAD)-dependent amine oxidase domain, demethylates histone 3 lysine 4 and histone 3 lysine 9 (H3K4me1/2 and H3K9me1/2). It has emerged as an epigenetic developmental regulator and was shown to be involved in carcinogenesis. The functional diversity of KDM1A originates from its complex structure and interactions with transcription factors, promoters, enhancers, oncoproteins, and tumor-associated genes (tumor suppressors and activators). In this review, we discuss the microenvironment of KDM1A in cancer progression that enables this protein to activate or repress target gene expression, thus making it an important epigenetic modifier that regulates the growth and differentiation potential of cells. A detailed analysis of the mechanisms underlying the interactions between KDM1A and the associated complexes will help to improve our understanding of epigenetic regulation, which may enable the discovery of more effective anticancer drugs

Targeting Smyd3 by next-generation antisense oligonucleotides suppresses liver tumor growth

The oncogenic function of suppressor of variegation, enhancer of zeste and MYeloid-Nervy-DEAF1-domain family methyltransferase Smyd3 has been implicated in various malignancies, including hepatocellular carcinoma (HCC). Here, we show that targeting Smyd3 by next-generation antisense oligonucleotides (Smyd3-ASO) is an efficient approach to modulate its mRNA levels in vivo and to halt the growth of already initiated liver tumors. Smyd3-ASO treatment dramatically decreased tumor burden in a mouse model of chemically induced HCC and negatively affected the growth rates, migration, oncosphere formation, and xenograft growth capacity of a panel of human hepatic cancer cell lines. Smyd3-ASOs prevented the activation of oncofetal genes and the development of cancer-specific gene expression program. The results point to a mechanism by which Smyd3-ASO treatment blocks cellular de-differentiation, a hallmark feature of HCC development, and, as a result, it inhibits the expansion of hepatic cancer stem cells, a population that has been presumed to resist chemotherapy. © 2021 The Author

TRAF1/C5, eNOS, C1q, but not STAT4 and PTPN22 gene polymorphisms are associated with genetic susceptibility to systemic lupus erythematosus in Turkey

Pathophysiology and treatment of rheumatic disease

Pure diastereomers of a tranylcypromine-based LSD1 inhibitor: enzyme selectivity and in-cell studies

The pure four diastereomers (11a-d) of trans-benzyl (1-((4-(2-aminocyclopropyl)phenyl)amino)-1-oxo-3-phenylpropan-2-yl)carbamate hydrochloride 11, previously described by us as LSD1 inhibitor, were obtained by enantiospecific synthesis/chiral HPLC separation method. Tested in LSD1 and MAO assays, 11b (S,1S,2R) and 11d (R,1S,2R) were the most potent isomers against LSD1 and were less active against MAO-A and practically inactive against MAO-B. In cells, all the four diastereomers induced Gfi-1b and ITGAM gene expression in NB4 cells, accordingly with their LSD1 inhibition, and 11b and 11d inhibited the colony forming potential in murine promyelocytic blasts