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  • Article
    Edros RZ, McDonnell S, Al-Rubeai M.
    PLoS One. 2013;8(10):e75935.
    Selection of high producing cell lines to produce maximum product concentration is a challenging and time consuming task for the biopharmaceutical industry. The identification of early markers to predict high productivity will significantly reduce the time required for new cell line development. This study identifies candidate determinants of high productivity by profiling the molecular and morphological characteristics of a panel of six Chinese Hamster Ovary (CHO) stable cell lines with varying recombinant monoclonal antibody productivity levels ranging between 2 and 50 pg/cell/day. We examined the correlation between molecular parameters and specific productivity (qp ) throughout the growth phase of batch cultures. Results were statistically analyzed using Pearson correlation coefficient. Our study revealed that, overall, heavy chain (HC) mRNA had the strongest association with qp followed by light chain (LC) mRNA, HC intracellular polypeptides, and intracellular antibodies. A significant correlation was also obtained between qp and the following molecular markers: growth rate, biomass, endoplasmic reticulum, and LC polypeptides. However, in these cases, the correlation was not observed at all-time points throughout the growth phase. The repeated sampling throughout culture duration had enabled more accurate predictions of productivity in comparison to performing a single-point measurement. Since the correlation varied from day to day during batch cultivation, single-point measurement was of limited use in making a reliable prediction.
    Digital Access Access Options
  • Article
    Sun Y, Wang N.
    Environ Sci Pollut Res Int. 2022 Oct;29(50):75921-75935.
    Sustainable evaluation of the eco-economic systems is crucial to resolve the contradiction between environmental protection and economic development and promote healthy urban development. This paper constructed an SEC framework for sustainable development index (SDI) evaluation of the eco-economic systems in the π-shaped Curve Area in the Yellow River basin based on the 3D ecological footprint (EF) model. The study was conducted from three aspects: the capital utilization scale and equity during the ecological supply and demand process, the development efficiency and capacity of the eco-economic systems, and the relations between the systems embodied by the coordination and security evaluation. Also, the SDI and its influence mechanism were studied using the fully arrayed polygon diagram and geographic detector. Findings include the following: EF depth is higher in cities with poor natural resources, while EF size is higher in cities with vast territories and rich resources. The arrangement of EF depth and EF size presents nearly a reverse trend, and the consumption of capital flow and capital stock complements each other. Cities can be classified as heavy utilization type, moderate utilization type, mild utilization type, and low stock appropriation type. From 2005 to 2019, the area's SDI and the three aspects presented evident spatial heterogeneity and formed clusters. The role of government, energy consumption, scientific innovation, industrial structure, urbanization rate, population, economic level, and openness level impact SDI differently. This study proposed a new insight for the sustainability evaluation of eco-economic systems.
    Digital Access Access Options
  • Book
    edited by Ashwani Kumar, Yatika Gori, Avinash Kumar, Chandan Swaroop Meena and Nitesh Dutt.
    Summary: "The text covers recent developments in biomaterials like graphene reinforced magnesium metal matrix, magnesium alloys, and 2D nanomaterials. It will help senior undergraduate, graduate students, and academic researchers in the fields of biomedical engineering, mechanical engineering, materials science, ergonomics, and human factors"-- Provided by publisher.
    Digital Access TandFonline 2022