1,721,183 research outputs found

    vsharma-next/CRYOWRF: CRYOWRF v1.0

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    CRYOWRF v1.0 released for public use. See 1. "Introducing CRYOWRF v1.0: Multiscale atmospheric flow simulations with advanced snow cover modelling", Submitted to "Geoscientific Model Development" for scientific background. 2. Sharma, Varun (2021). Reproducibility Dataset for CRYOWRF v1.0. EnviDat. doi:10.16904/envidat.232. for reproducing results in #1 and for using CRYOWRF for your own applications.CRYO

    The role of small non-coding RNAs in human T-cell leukemia virus type 1 (HTLV-1) infection and transformation

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    Human T-cell leukemia virus type 1 (HTLV-1) is the causative agent of two distinct pathologies, adult T-cell leukemia/lymphoma (ATLL), an aggressive neoplasm of mature CD4+ T-cells, and tropical spastic paraparesis/HTLV-1-associated myelopathy (TSP/HAM), a demyelinating neurodegenerative disease. The emerging importance of small noncoding RNAs in normal cell physiology and disease has prompted studies of their role in T-cell activation and transformation. The work described in the present thesis was aimed at understanding the role of small noncoding RNAs, in particular microRNAs and tRNA fragments (tRFs), in HTLV-1 infection and ATLL pathogenesis. The laboratory generated small RNA libraries to identify the repertoire of small noncoding RNAs expressed in two HTLV-1-infected T-cell lines (C91PL and MT-2) compared to normal CD4+ T-cells. Results revealed upregulation of miR-34a in the cell lines. Many tRFs were identified in both uninfected and infected cells. One of the most abundant tRFs (tRF-3019) was derived from the 3’ end of tRNA-proline, which is considered to be the primer for HTLV-1 reverse transcriptase. Results of an in vitro reverse transcriptase assay verified that tRF-3019 was capable of priming HTLV-1 reverse transcriptase. Both tRNA-proline and tRF-3019 were detected in HTLV-1 virus particles. tRF-3019 may thus play an important role in HTLV-1 reverse transcription and could represent a target to control HTLV-1 infection. Data from a microarray-based analysis of microRNA expression in ATLL samples compared to normal CD4+ T-cells revealed 21 downregulated microRNAs and 6 upregulated microRNAs. Upregulated microRNAs included miR-34a, which is a member of the highly conserved miR-34 family that acts as a tumor suppressor induced by p53 in other cell types. However, p53 is known to be functionally inactivated or mutated in ATLL cells and HTLV-1-infected cell lines. Treatment of infected cell lines with nutlin-3a, a drug that restores p53 activity by interfering with MDM2, resulted in an upregulation of miR-34a and strong downregulation of several of its predicted targets. These findings indicate that unblocking the p53 pathway in HTLV-1-infected cells promotes engagement of the miR-34a/mRNA regulatory network. The final aim of the project was to identify microRNAs regulated by the viral regulatory protein Tax. To this end the HTLV-1-negative T-cell line Jurkat was transfected with a Tax expression plasmid and assayed for changes in mRNA and microRNA expression by quantitative RT-PCR. Results revealed significant alterations in the levels of 7 microRNAs in the presence of Tax. These included let-7g, whose levels were reduced in the Tax-expressing cells. Let-7g was also found to be downregulated in ATLL samples compared to normal CD4 cells analysed by microarrays, suggesting that this microRNA might play a tumor suppressor role in HTLV-1-mediated transformation. Experiments are currently underway to identify targets of let-7g in infected cells using as a starting point 14 genes identified by integrating results from microRNA target prediction programs with expression profiles for microRNAs and mRNAs in ATLL cells vs. CD4 controls

    Supplementary Tables 1-4 for Jose, Sharma et al.

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    The data includes supplementary tables 1-4 for the manuscript, published as preprint below:Susan Jose, Himanshi Sharma, Janki Insan, Khushboo Sharma, Varun Arora, Sonam Dhamija, Nabil Eid, Manoj B. MenonbioRxiv 2023.08.27.554994; doi: https://doi.org/10.1101/2023.08.27.554994 </p

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

    Variations on the Author

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    “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

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    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

    vsharma-next/CRYOWRF: CRYOWRF v1.0

    No full text
    CRYOWRF v1.0 released for public use. See 1. "Introducing CRYOWRF v1.0: Multiscale atmospheric flow simulations with advanced snow cover modelling", Submitted to "Geoscientific Model Development" for scientific background. 2. Sharma, Varun (2021). Reproducibility Dataset for CRYOWRF v1.0. EnviDat. doi:10.16904/envidat.232. for reproducing results in #1 and for using CRYOWRF for your own applications
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