Conventional pyrosequencing using 2'-deoxyadenosine-5'-O-(1-thiotriphosphate) (dATPαS) is problematic due to the high cost of the substrate (dATPαS) and deterioration in the accuracy of incorporation to read through poly(T) regions. One reason for these problems is that dATPαS has a sulfur on the α-phosphate and also has isomers (Sp and Rp). To solve these problems, 11 nucleotide substrates, which could replace dATPαS in pyrosequencing, were newly synthesized. All substrates were modified on the seventh or eighth position of the adenine base from normal dATP. We found that the substrate that had an ethenyl-linked modified group on the seventh position of the adenine base had low activity in the luciferase reaction and high incorporation efficiency with the thymine base. One substrate in particular had 10-fold better incorporation efficiency than dATPαS. The new nucleotide substrate satisfied all conditions as a replacement of dATPαS.
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http://dx.doi.org/10.1016/j.ab.2011.04.039 | DOI Listing |
Sci Rep
December 2024
Department of Informatics, University of Hamburg, Hamburg, Germany.
Central to the development of universal learning systems is the ability to solve multiple tasks without retraining from scratch when new data arrives. This is crucial because each task requires significant training time. Addressing the problem of continual learning necessitates various methods due to the complexity of the problem space.
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December 2024
School of Civil & Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Per- and polyfluoroalkyl substances (PFASs) have recently garnered considerable concerns regarding their impacts on human and ecological health. Despite the important roles of polyamide membranes in remediating PFASs-contaminated water, the governing factors influencing PFAS transport across these membranes remain elusive. In this study, we investigate PFAS rejection by polyamide membranes using two machine learning (ML) models, namely XGBoost and multimodal transformer models.
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December 2024
Department of Mathematics, GC University, Lahore, Pakistan.
In this article, a nonlinear fractional bi-susceptible [Formula: see text] model is developed to mathematically study the deadly Coronavirus disease (Covid-19), employing the Atangana-Baleanu derivative in Caputo sense (ABC). A more profound comprehension of the system's intricate dynamics using fractional-order derivative is explored as the primary focus of constructing this model. The fundamental properties such as positivity and boundedness, of an epidemic model have been proven, ensuring that the model accurately reflects the realistic behavior of disease spread within a population.
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December 2024
Department of Food Science and Technology, Sindos Campus, International Hellenic University, 57400, Thessaloniki, Greece.
Microalgae, have emerged as a potentially promising feed additive option due to their beneficial nutritional profile rich in bioactive compounds. The present study examines the incorporation of Chlorella sorokiniana (at 0.1% and 1%) into chicken feed compared to control feed and its effect on growth and health parameters of poultry grown at pilot plant scale.
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December 2024
The SKI Stem Cell Research Facility, The Center for Stem Cell Biology and Developmental Biology Program, Sloan-Kettering Institute for Cancer Research, 1275 York Avenue, New York, NY, USA.
Prime editing (PE) allows for precise genome editing in human pluripotent stem cells (hPSCs), such as introducing single nucleotide modifications, small insertions or deletions at a specific genomic locus. Here, we systematically compare a panel of prime editing conditions in hPSCs and generate a potent prime editor, "PE-Plus", through co-inhibition of mismatch repair and p53-mediated cellular stress responses. We further establish an inducible prime editing platform in hPSCs by incorporating the PE-Plus into a safe-harbor locus and demonstrated temporal control of precise editing in both hPSCs and differentiated cells.
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