1,724,098 research outputs found
Supplementary Figures and Tables from Ubiquitous Release of Exosomal Tumor Suppressor miR-6126 from Ovarian Cancer Cells
Supplementary Data includes Supplementary Figures 1-6 and Supplementary Tables 1-3. Supplementary Figure 1 shows microscopic images for the characterization of exosomes. Supplementary Figure 2 shows the qPCR results of miR-6126 overexpression in miR-6126 mimic treated ovarian cancer cells (HeyA8, HeyA8-MDR, Skkov3-ip1, SKOV3-TR) Supplementary Figure 3 shows western blotting and qPCR results that shows the ingibition of Integrin beta-1 expression at protein and mRNA level upon miR-6126 mimic treatment. Supplementary Figure 4 shows the size distribution graphs of exosomes isolated from CTL mimic, miR-6126 mimic , CTL inhibitor, miR-6126 inhibitor treated SKOV3-IP1 cells. Supplementary Figure 5 shows ITGB1 mRNA levels in different ovarian cancer exosomes. Supplementary Figure 6 shows in vivo down regulation of ITGB1. Supplementary Table 1 shows demographic information of ovarian cancer patients whose tissue samples used in quantification of miR-6126 expression. Supplementary Table 2 shows raw microarray data for miR-6126 Supplementary Table 3 shows z-score values for miR-6126 for each exosome and cell sample.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Exosomal miR-6126 as a novel therapeutic target for overcoming resistance of anti-cancer effect in hepatocellular carcinoma
Background: Hepatocellular carcinoma (HCC) stands as the sixth most prevalent cancer globally, presenting a substantial health challenge, particularly due to late-stage diagnoses that limit treatment effectiveness. Sorafenib, a multi-kinase inhibitor, is the primary chemotherapeutic agent for advanced HCC, but it only extends survival by 2-3 months. However, drug resistance remains a major clinical challenge, necessitating the exploration of new molecular mechanisms, including the role of microRNAs (miRNAs) in sorafenib resistance. In this study, we aimed to identify miRNAs within exosomes derived from sorafenib-resistant HCC cells to elucidate the molecular mechanisms underlying resistance. Methods: Sorafenib-resistant cells were generated by culturing the human HCC cell line Huh7 in a medium containing 20 μM sorafenib for six months. Exosomes were isolated from the conditioned medium 24 h before cell harvest using exosome-depleted serum medium. miRNA sequencing and western blotting were used to analyze the expression profiles of exosomal miRNAs and proteins, respectively. pH measurement was performed to assess pH changes in response to sorafenib treatment and miRNA modulation. Results: A total of 180 exosomal miRNAs were found to be dysregulated between sorafenib-treated control Huh7 (Huh7S) and sorafenib-resistant Huh7 (Huh7RS) cells, as well as between untreated control Huh7 and Huh7RS cells. Among these, miR-6126 was significantly downregulated in Huh7RS cells compared to Huh7S cells. Functional studies using 2-dimensional (D) and 3D cell culture systems revealed that miR-6126 overexpression reduced sorafenib resistance in Huh7RS cells, while its inhibition increased resistance in Huh7 cells. miR-6126 downregulated key proteins involved in cancer stem cell maintenance, such as CD44 and HK2. Furthermore, the pH level was elevated in cells overexpressing miR-6126 following sorafenib treatment, whereas inhibiting miR-6126 resulted in a lower pH. Conclusions: Exosomal miR-6126 plays a pivotal role in sorafenib resistance and tumorigenesis, highlighting its potential as a novel therapeutic target for overcoming drug resistance in HCC
Exosomal miR-6126 as a novel therapeutic target for overcoming resistance of anti-cancer effect in hepatocellular carcinoma
Abstract Background Hepatocellular carcinoma (HCC) stands as the sixth most prevalent cancer globally, presenting a substantial health challenge, particularly due to late-stage diagnoses that limit treatment effectiveness. Sorafenib, a multi-kinase inhibitor, is the primary chemotherapeutic agent for advanced HCC, but it only extends survival by 2–3 months. However, drug resistance remains a major clinical challenge, necessitating the exploration of new molecular mechanisms, including the role of microRNAs (miRNAs) in sorafenib resistance. In this study, we aimed to identify miRNAs within exosomes derived from sorafenib-resistant HCC cells to elucidate the molecular mechanisms underlying resistance. Methods Sorafenib-resistant cells were generated by culturing the human HCC cell line Huh7 in a medium containing 20 µM sorafenib for six months. Exosomes were isolated from the conditioned medium 24 h before cell harvest using exosome-depleted serum medium. miRNA sequencing and western blotting were used to analyze the expression profiles of exosomal miRNAs and proteins, respectively. pH measurement was performed to assess pH changes in response to sorafenib treatment and miRNA modulation. Results A total of 180 exosomal miRNAs were found to be dysregulated between sorafenib-treated control Huh7 (Huh7S) and sorafenib-resistant Huh7 (Huh7RS) cells, as well as between untreated control Huh7 and Huh7RS cells. Among these, miR-6126 was significantly downregulated in Huh7RS cells compared to Huh7S cells. Functional studies using 2-dimensional (D) and 3D cell culture systems revealed that miR-6126 overexpression reduced sorafenib resistance in Huh7RS cells, while its inhibition increased resistance in Huh7 cells. miR-6126 downregulated key proteins involved in cancer stem cell maintenance, such as CD44 and HK2. Furthermore, the pH level was elevated in cells overexpressing miR-6126 following sorafenib treatment, whereas inhibiting miR-6126 resulted in a lower pH. Conclusions Exosomal miR-6126 plays a pivotal role in sorafenib resistance and tumorigenesis, highlighting its potential as a novel therapeutic target for overcoming drug resistance in HCC
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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