Error-prone PCR (epPCR) is a commonly employed approach in molecular biology, especially in directed evolution, to generate libraries of DNA molecules with broad mutational spectrums. Though commonly applied to mutagenize protein coding sequences of several hundreds or thousands of basepairs, we found that commonly used protocols were not suitable for small (<100 bp) amplicons. Here we report a modified error-prone PCR protocol utilizing a Touchdown approach and employing only commercially available components, that should be broadly useful for the researcher interested in concentrating mutations into a small region of plasmid DNA. It will also be useful for achieving very high mutational loads on a standard-sized amplicon.
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http://dx.doi.org/10.1016/j.ab.2021.114266 | DOI Listing |
Int J Pharm
January 2025
Departamento de Farmacología, Farmacia y Tecnología Farmacéutica, I+D Farma (GI-1645), Facultad de Farmacia, Instituto de Materiales (iMATUS) and Health Research Institute of Santiago de Compostela (IDIS), Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain; FABRX Artificial Intelligence, Carretera de Escairón, 14, Currelos (O Saviñao) CP 27543, Spain; FABRX Ltd., Henwood House, Henwood, Ashford, Kent TN24 8DH, UK; Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK. Electronic address:
Compounding medications in pharmacies is a common practice for patients with prescriptions that are not available commercially, but it is a laborious and error-prone task. The incorporation of emerging technologies to prepare personalised medication, such as 3D printing, has been delayed in smaller pharmacies due to concerns about potential workflow disruptions and learning curves associated with novel technologies. This study examines the use in a community pharmacy of a pharmaceutical 3D printer to auto-fill capsules and blisters using semisolid extrusion, incorporating an integrated quality control system.
View Article and Find Full Text PDFNeuroimage
January 2025
Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea. Electronic address:
Magnetic resonance electrical properties tomography can extract the electrical properties of in-vivo tissue. To estimate tissue electrical properties, various reconstruction algorithms have been proposed. However, physics-based reconstructions are prone to various artifacts such as noise amplification and boundary artifact.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada.
Goal: Current methodologies for assessing cerebral compliance using pressure sensor technologies are prone to errors and issues with inter- and intra-observer consistency. RAP, a metric for measuring intracranial compensatory reserve (and therefore compliance), holds promise. It is derived using the moving correlation between intracranial pressure (ICP) and the pulse amplitude of ICP (AMP).
View Article and Find Full Text PDFSensors (Basel)
January 2025
Space Robotics Research Group (SpaceR), Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, L-1855 Luxembourg, Luxembourg.
Malaria remains a global health concern, with 249 million cases and 608,000 deaths being reported by the WHO in 2022. Traditional diagnostic methods often struggle with inconsistent stain quality, lighting variations, and limited resources in endemic regions, making manual detection time-intensive and error-prone. This study introduces an automated system for analyzing Romanowsky-stained thick blood smears, focusing on image quality evaluation, leukocyte detection, and malaria parasite classification.
View Article and Find Full Text PDFDiagnostics (Basel)
January 2025
Department of Orthopedics, Trauma Surgery and Rehabilitative Medicine, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17471 Greifswald, Germany.
: Clavicle injuries are common and seem to be frequently subject to diagnostic misclassification. The accurate identification of clavicle fractures is essential, particularly for registry and Big Data analyses. This study aims to assess the frequency of diagnostic errors in clavicle injury classifications.
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