186 research outputs found

    Transcriptome profile in Drosophila Kc and S2 embryonic cell lines

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    Drosophila melanogaster cell lines are an important resource for a range of studies spanning genomics, molecular genetics, and cell biology. Amongst these valuable lines are Kc167 (Kc) and Schneider 2 (S2) cells, which were originally isolated in the late 1960s from embryonic sources and have been used extensively to investigate a broad spectrum of biological activities including cell-cell signaling and immune system function. Whole-genome tiling microarray analysis of total RNA from these two cell types was performed as part of the modENCODE project over a decade ago and revealed that they share a number of gene expression features. Here, we expand on these earlier studies by using deep-coverage RNA-sequencing approaches to investigate the transcriptional profile in Kc and S2 cells in detail. Comparison of the transcriptomes reveals that ∼75% of the 13,919 annotated genes are expressed at a detectable level in at least one of the cell lines, with the majority of these genes expressed at high levels in both cell lines. Despite the overall similarity of the transcriptional landscape in the two cell types, 2,588 differentially expressed genes are identified. Many of the genes with the largest fold change are known only by their CG designations, indicating that the molecular control of Kc and S2 cell identity may be regulated in part by a cohort of relatively uncharacterized genes. Our data also indicate that both cell lines have distinct hemocyte-like identities, but share active signaling pathways and express a number of genes in the network responsible for dorsal-ventral patterning of the early embryo. © The Author(s) 2023. Published by Oxford University Press on behalf of the Genetics Society of America

    Influence of the balanced scorecard on the science and innovation performance of Latin American universities

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    This is an Accepted Manuscript of an article published by Taylor & Francis in Knowledge Management Research & Practice on 2019, available online: http://www.tandfonline.com/10.1080/14778238.2019.1569488[EN] Pressure on the education system to meet society's needs has led some universities to adopt organisational performance measurement systems as strategic control tools. One of the most commonly used systems in business is the balanced scorecard (BSC). For Latin American universities, the urgent task of increasing the quantity and quality of research and innovation has led these universities to update their essential processes. A suitable control system is necessary to ensure the effectiveness of these new policies. Based on strategic management theory, this study focuses on the implementation of a BSC method in Latin American public universities. The aim of this study is to determine the influence of BSC implementation on universities? research and innovation performance. The results reveal similar patterns of indicators to measure performance in public universities. Furthermore, these indicators develop favourably following implementation of the BSC.Peris-Ortiz, M.; García-Hurtado, D.; Devece Carañana, CA. (2019). Influence of the balanced scorecard on the science and innovation performance of Latin American universities. Knowledge Management Research & Practice. 17(4):373-383. https://doi.org/10.1080/14778238.2019.1569488S373383174Agostino, D., & Arnaboldi, M. (2012). Design issues in Balanced Scorecards: The «what» and «how» of control. European Management Journal, 30(4), 327-339. doi:10.1016/j.emj.2012.02.001Al-Ashaab, A., Flores, M., Doultsinou, A., & Magyar, A. (2011). A balanced scorecard for measuring the impact of industry–university collaboration. Production Planning & Control, 22(5-6), 554-570. doi:10.1080/09537287.2010.536626Ankrah, S., & AL-Tabbaa, O. (2015). Universities–industry collaboration: A systematic review. Scandinavian Journal of Management, 31(3), 387-408. doi:10.1016/j.scaman.2015.02.003Broadbent, J., & Laughlin, R. (2009). Performance management systems: A conceptual model. Management Accounting Research, 20(4), 283-295. doi:10.1016/j.mar.2009.07.004Chen, S., Yang, C., & Shiau, J. (2006). The application of balanced scorecard in the performance evaluation of higher education. The TQM Magazine, 18(2), 190-205. doi:10.1108/09544780610647892Ferreira, A., & Otley, D. (2009). The design and use of performance management systems: An extended framework for analysis. Management Accounting Research, 20(4), 263-282. doi:10.1016/j.mar.2009.07.003Franceschini, F., & Turina, E. (2011). Quality improvement and redesign of performance measurement systems: an application to the academic field. Quality & Quantity, 47(1), 465-483. doi:10.1007/s11135-011-9530-1Gibbert, M., Ruigrok, W., & Wicki, B. (2008). What passes as a rigorous case study? Strategic Management Journal, 29(13), 1465-1474. doi:10.1002/smj.722Ittner, C. D., Larcker, D. F., & Randall, T. (2003). Performance implications of strategic performance measurement in financial services firms. Accounting, Organizations and Society, 28(7-8), 715-741. doi:10.1016/s0361-3682(03)00033-3Kaplan, R. S., & Norton, D. P. (2001). Transforming the Balanced Scorecard from Performance Measurement to Strategic Management: Part II. Accounting Horizons, 15(2), 147-160. doi:10.2308/acch.2001.15.2.147Khalid, S., Knouzi, N., Tanane, O., & Talbi, M. (2014). Balanced Scoreboard, the Performance Tool in Higher Education: Establishment of Performance Indicators. Procedia - Social and Behavioral Sciences, 116, 4552-4558. doi:10.1016/j.sbspro.2014.01.984Kraus, K., & Lind, J. (2010). The impact of the corporate balanced scorecard on corporate control—A research note. Management Accounting Research, 21(4), 265-277. doi:10.1016/j.mar.2010.08.001Langfield-Smith, K. (1997). Management control systems and strategy: A critical review. Accounting, Organizations and Society, 22(2), 207-232. doi:10.1016/s0361-3682(95)00040-2Lawrence, S., & Sharma, U. (2002). Commodification of Education and Academic LABOUR—Using the Balanced Scorecard in a University Setting. Critical Perspectives on Accounting, 13(5-6), 661-677. doi:10.1006/cpac.2002.0562Lee, B., Collier, P. M., & Cullen, J. (2007). Reflections on the use of case studies in the accounting, management and organizational disciplines. Qualitative Research in Organizations and Management: An International Journal, 2(3), 169-178. doi:10.1108/17465640710835337Neely, A., Gregory, M., & Platts, K. (1995). Performance measurement system design. International Journal of Operations & Production Management, 15(4), 80-116. doi:10.1108/01443579510083622Philbin, S. (2008). Process model for university‐industry research collaboration. European Journal of Innovation Management, 11(4), 488-521. doi:10.1108/14601060810911138Pritchard, R. D., Roth, P. L., Jones, S. D., & Roth, P. G. (1990). Implementing feedback systems to enhance productivity: A practical guide. National Productivity Review, 10(1), 57-67. doi:10.1002/npr.4040100107Ridwan, R., Harun, H., An, Y., & Fahmid, I. M. (2013). The Impact of the Balanced Scorecard on Corporate Performance: The Case of an Australian Public Sector Enterprise. International Business Research, 6(10). doi:10.5539/ibr.v6n10p103Sayed, N. (2013). Ratify, reject or revise: balanced scorecard and universities. International Journal of Educational Management, 27(3), 203-220. doi:10.1108/09513541311306440Spender, J.-C. (2014). Business Strategy. doi:10.1093/acprof:oso/9780199686544.001.0001Tangen, S. (2005). Analysing the requirements of performance measurement systems. 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    The Unconserved Groucho Central Region Is Essential for Viability and Modulates Target Gene Specificity

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    Groucho (Gro) is a Drosophila corepressor required by numerous DNA-binding repressors, many of which are distributed in gradients and provide positional information during development. Gro contains well-conserved domains at its N- and C-termini, and a poorly conserved central region that includes the GP, CcN, and SP domains. All lethal point mutations in gro map to the conserved regions, leading to speculation that the unconserved central domains are dispensable. However, our sequence analysis suggests that the central domains are disordered leading us to suspect that the lack of lethal mutations in this region reflects a lack of order rather than an absence of essential functions. In support of this conclusion, genomic rescue experiments with Gro deletion variants demonstrate that the GP and CcN domains are required for viability. Misexpression assays using these same deletion variants show that the SP domain prevents unrestrained and promiscuous repression by Gro, while the GP and CcN domains are indispensable for repression. Deletion of the GP domain leads to loss of nuclear import, while deletion of the CcN domain leads to complete loss of repression. Changes in Gro activity levels reset the threshold concentrations at which graded repressors silence target gene expression. We conclude that co-regulators such as Gro are not simply permissive components of the repression machinery, but cooperate with graded DNA-binding factors in setting borders of gene expression. We suspect that disorder in the Gro central domains may provide the flexibility that allows this region to mediate multiple interactions required for repression

    Parasite fate and involvement of infected cells in the induction of CD4+ and CD8+ T cell responses to Toxoplasma gondii

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    During infection with the intracellular parasite Toxoplasma gondii, the presentation of parasite-derived antigens to CD4+ and CD8+ T cells is essential for long-term resistance to this pathogen. Fundamental questions remain regarding the roles of phagocytosis and active invasion in the events that lead to the processing and presentation of parasite antigens. To understand the most proximal events in this process, an attenuated non-replicating strain of T. gondii (the cpsII strain) was combined with a cytometry-based approach to distinguish active invasion from phagocytic uptake. In vivo studies revealed that T. gondii disproportionately infected dendritic cells and macrophages, and that infected dendritic cells and macrophages displayed an activated phenotype characterized by enhanced levels of CD86 compared to cells that had phagocytosed the parasite, thus suggesting a role for these cells in priming naïve T cells. Indeed, dendritic cells were required for optimal CD4+ and CD8+ T cell responses, and the phagocytosis of heat-killed or invasion-blocked parasites was not sufficient to induce T cell responses. Rather, the selective transfer of cpsII-infected dendritic cells or macrophages (but not those that had phagocytosed the parasite) to naïve mice potently induced CD4+ and CD8+ T cell responses, and conferred protection against challenge with virulent T. gondii. Collectively, these results point toward a critical role for actively infected host cells in initiating T. gondii-specific CD4+ and CD8+ T cell responses
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