Search

BioScience Trends (BST) is a peer-reviewed journal belongs to the International Research and Cooperation Association for Bio & Socio-Sciences Advancement (IRCA-BSSA) Group of Japan. Despite a decade of existence, no study was performed to measure the bibliometric profile of the journal. The objective of this study was to investigate the bibliometric characteristic of BST. A bibliometric analysis will specifically measure: 1) growth rate of the scientific publications, 2) dynamics of authorship and collaboration pattern; 3) core research themes of articles that have been published, and 4) citation pattern of BST. Bibliographical archives of BST were obtained from the Core Collection database of the Web of Science (WoS). We divided the dataset into three interval periods, 2007-2010, 2011-2014 and 2015-2017 respectively. Data processing and analysis was performed using Bibliometrix, a bibliometric analysis package in R software, VOSViewer 1.66, Orange 3.15 and CitNetExplorer. Within one decade of scientific production, BST continues to attract global researchers in life sciences. However, it is still dominated by authors from China and Japan. Annual journal growth of BST is 12.83 %. Reaching the end of the first decade, number of first author and the country origin multiplied, 20 and 5 times respectively, compared to the first-year. Research themes are consistent with the Aims and Scope of the Journal with strong emphasizes on molecular biology, biochemistry, and clinical research. Entering the second decade, strategies to promote and enlarge authors participation from countries that are not in the current list are encouraged. [ABSTRACT FROM AUTHOR]

It was proposed that Epstein–Barr virus (EBV) is closely associated with nasopharyngeal carcinoma (NPC); however, the molecular mechanisms involved in the effect of EBV on NPC host genes have not yet been well defined. For this study, two sets of microarray experiments, NPC (EBV-free) vs normal epithelial cells and EBV+ vs EBV− NPC arrays, were analyzed and the datasets were cross-compared to identify any correlation between gene clusters involved in EBV targeting and the NPC host gene expression profiles. Statistical analysis revealed that EBV seems to have a preference for targeting more genes from the differentially expressed group in NPC cells than those from the ubiquitously expressed group. Furthermore, this trend is also reflected in log ratios where the EBV target genes of the differentially expressed group origin showed greater log ratios than genes with an origin from the ubiquitously expressed NPC group. Taken together, the genome-wide comparative scanning of EBV and NPC transcriptomes has successfully demonstrated that EBV infection has an intensifying effect on the signals involved in NPC gene expression both in breadth (the majority of the genes) and in depth (greater log ratios). [ABSTRACT FROM AUTHOR]