ABSTRACT
OBJECTIVES: To explore the context and hotspot changes of forensic mixed stain research through bibliometric approach. METHODS: The literature of forensic mixed stain included in the core collection of Web of Science database from 2011 to 2022 were collected as the study object, and the annual publication number, countrie (region), institution, journal, keywords, etc. were bibliometrically and visually analyzed using the R-based Bibliometrix 1.1.6 package and VOSviewer 1.6.18 software. RESULTS: A total of 732 articles on forensic mixed stain were included from 2011 to 2022, with the annual number of articles published and the annual citation frequency showing a steady increase year by year. Among the 59 countries (regions) with the most published articles, the United States ranked first with 246 articles, followed by China with 153 articles. The literature came from 104 journals, and the total number of articles published in the top 10 journals was 633. FORENSIC SCI INT GENET ranked first with 307 articles. Visual analysis using VOSviewer software showed that keywords could be divided into four research clusters, namely the genetic marker development group (blue), the mixed stain typing analysis theory group (red), the sequencing analysis group (yellow), and the case sample research group (green). It can be divided into four development stages in terms of different time periods: early development (2011-2013), middle development (2014-2016), rapid development (2017-2020) and latest development (2021-2022). CONCLUSIONS: The number of publications by domestic and foreign scholars in the study of mixed stain in forensic science is showing a relatively stable trend. Machine learning, next generation sequencing and other research have been the hottest topics that have attracted the most attention in recent years, which is expected to further develop the theory of mixed stain typing and sequencing analysis in forensic mixed stain research.
Subject(s)
Bibliometrics , Coloring Agents , China , Forensic Sciences , High-Throughput Nucleotide SequencingABSTRACT
Objective@#To investigate the molecular mechanism of high phosphorylation levels of cofilin-1 (p-CFL-1) associated with paclitaxel resistance in epithelial ovarian cancer (EOC) cells.@*Methods@#Cells displaying varying levels of p-CFL-1 and CFL-1 were created by plasmid transfection and shRNA interference. Cell inhibition rate indicating paclitaxel efficacy was assessed by Cell Counting Kit-8 (CCK-8) assay. Apoptosis was assessed by flow cytometry and protein levels were detected by western blotting. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to measure the expression levels of phosphokinases and phosphatases of CFL-1. Survival analysis evaluated the correlation between the prognosis of EOC patients and the levels of p-CFL-1 and slingshot-1 (SSH-1).@*Results@#High levels of p-CFL-1 were observed in EOC cells that survived treatment with high doses of paclitaxel. SKOV3 cell mutants with upregulated p-CFL-1 showed impaired paclitaxel efficacy, as well as decreased apoptosis rates and pro-survival patterns of apoptosis-specific protein expression. Cytoplasmic accumulation of p-CFL-1 inhibited paclitaxel-induced mitochondrial apoptosis. SSH-1 silencing mediated CFL-1 phosphorylation in paclitaxel-resistant SKOV3 cells. Clinically, the high level of p-CFL-1 and the low level of SSH-1 in EOC tissues were closely related to chemotherapy resistance and poor prognosis in EOC patients.@*Conclusion@#The SSH-1/p-CFL-1 signaling pathway mediates paclitaxel resistance by apoptosis inhibition in EOC and is expected to be a potential prognostic predictor.