1,736,999 research outputs found
RAxML Besttree generated from Acropyga_UCE-944-matrix
No full textRAxML Besttree generated from Acropyga_UCE-944-matri
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
microRNA-944 inhibits the malignancy of hepatocellular carcinoma by directly targeting IGF-1R and deactivating the PI3K/Akt signaling pathway
No full textLili Lv,1 Xiaodong Wang,2 Tonghui Ma31Department of Oncology and Hematology, The Second Hospital of Jilin University, Changchun, Jilin 130000, People’s Republic of China; 2Department of Digestive Endoscopy, The Second Hospital of Jilin University, Changchun, Jilin 130000, People’s Republic of China; 3Jilin Provincial Key Laboratory on Molecular and Chemical Genetics, The Second Hospital of Jilin University, Changchun, Jilin 130000, People’s Republic of ChinaPurpose: Recent studies have identified microRNA-944 (miR-944) as a cancer-related miRNA, but its expression and precise functions in hepatocellular carcinoma (HCC) remain unknown.Patients and methods: miR-944 expression in HCC tissues and cell lines were detected by RT-qPCR. A series of functional assays were utilized to examine the influence of miR-944 on the malignant phenotypes of HCC cells in vitro and in vivo. More importantly, the associated mechanisms underlying the activity of miR-944 in HCC cells were investigated using bioinformatics, luciferase reporter assays, RT-qPCR, and western blot analysis.Results: In this study, we report for the first time, a significant downregulation of miR-944 in HCC tissues and cell lines and the correlation between its downregulation and malignant clinical parameters, including Edmondson-Steiner grade, TNM stage, and venous infiltration. Low miR-944 expression predicted poorer overall survival rate and disease-free survival rate in patients with HCC. Functionally, exogenous miR-944 expression attenuated cell proliferation, clone formation, metastasis, and epithelial-mesenchymal transition and increased apoptosis in HCC, whereas miR-944 knockdown produced the opposite results. In addition, ectopic miR-944 expression hindered HCC tumor growth in vivo. Mechanistically, insulin-like growth factor 1 receptor (IGF-1R) was demonstrated to be the direct target gene of miR-944 in HCC cells. Furthermore, the expression level of miR-944 was inversely correlated with IGF-1R expression in HCC tissues. Rescue experiments showed that IGF-1R was at least partially responsible for the effects of miR-944 on the malignant phenotypes of HCC cells. In addition, the PI3K/Akt pathway was notably deactivated, both in vitro and in vivo, upon miR-944 upregulation.Conclusion: This study provides the first evidence that miR-944 directly targets IGF-1R and inhibits the aggressiveness of HCC, in vitro and in vivo, by decreasing PI3K/Akt signaling. Hence, targeting miR-944 may open a new avenue for the treatment of patients with HCC.Keywords: hepatocellular carcinoma, microRNA-944, insulin-like growth factor 1 receptor, PI3K/Akt pathway, epithelial-mesenchymal transitio
Novel Insights into miR-944 in Cancer
No full textmiRNA is a class of endogenous short-chain non-coding RNAs consisting of about 22 nucleotides. miR-944 is located in the fourth intron of the TP63 gene in the 3q28 region. miR-944 is abnormally expressed in cancers in multiple systems including neural, endocrine, respiratory, reproductive, and digestive systems. miR-944 can target at least 27 protein-coding genes. miR-944 can regulate a series of cell behaviors, such as cell cycle, proliferation, invasion and migration, EMT, apoptosis, etc. miR-944 participates in the networks of 11 ceRNAs, including six circRNAs and five lncRNAs. miR-944 is involved in three signaling pathways. The abnormal expression of miR-944 is closely related to the clinicopathological conditions of various cancer patients. Deregulated expression of miR-944 is significantly associated with clinicopathology and prognosis in cancer patients. In addition, miR-944 is also associated with the development of DDP, RAPA, DOX, and PTX resistance in cancer cells. miR-944 is involved in the anticancer molecular mechanisms of matrine and Rhenium-liposome drugs. In conclusion, this work systematically summarizes the related findings of miR-944, which will provide potential hints for follow-up research on miR-944
Grammar [944]
No full textGrammar.
This manuscript is now IO Islamic 525 in the India Office collections.
[metadata: Otto Loth, A Catalogue of the Arabic Manuscripts in the Library of the India Office, (volume 1), no. 944 here with further notations and hyperlinks].
944.
525. Size 81/4 in. by 53/4 in.; foll. 100. Nine lines in a page.
I.Foll. 1-48. Two Persian treatises on Arabic grammar. The first treats of the forms of the Arabic verb. The second is the صرف مير .
II.Foll. 49-100. The هداية النحو ( see above).
Written in Nasta’lîḳ. Dated Rabî’II., 1164 (?).1
[Hastings.]
1 This date is partly effaced
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
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