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Retroviruses are useful tools for the efficient delivery of genes to mammalian cells, owing to their ability to stably integrate into the host cell genome. Over the past few decades, retroviral vectors have been used in gene therapy clinical trials for the treatment of a number of inherited diseases and cancers. The earliest retrovirus vectors were based on simple oncogenic gammaretroviruses such as Moloney murine leukemia virus (MMLV) which, when pseudotyped with envelope proteins from other viruses such as the gibbon ape leukemia virus envelope protein (GALV) or vesicular stomatitis virus G protein (VSV-G), can efficiently introduce genes to a wide range of host cells. However, gammaretroviral vectors have the disadvantage that they are unable to efficiently transduce nondividing or slowly dividing cells. As a result, specific protocols have been developed to activate cells through the use of growth factors and cytokines. In the case of hematopoietic stem cells, activation has to be carefully controlled so that pluripotency is maintained. For many applications, gammaretroviral vectors are being superseded by lentiviral vectors based on human immunodeficiency virus type-1 (HIV-1) which has additional accessory proteins that enable integration in the absence of cell division. In addition, retroviral and lentiviral vector design has evolved to address a number of safety concerns. These include separate expression of the viral genes in trans to prevent recombination events leading to the generation of replication-competent viruses. Further, the development of self-inactivating (SIN) vectors reduces the potential for transactivation of neighboring genes and allows the incorporation of regulatory elements that may target gene expression more physiologically to particular cell types.
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http://dx.doi.org/10.1016/B978-0-12-386509-0.00003-X | DOI Listing |
J Cataract Refract Surg
July 2025
Department of Ophthalmology, Santo António Local Health Unit, Porto, Portugal.
Purpose: To demonstrate the efficacy and safety of iris-claw phakic intraocular lens (pIOL) in the treatment of post keratoplasty astigmatism.
Setting: Cornea Unit, Ophthalmology Department - Unidade Local de Saúde de Santo António - Porto, Portugal.
Design: Retrospective longitudinal study.
Int J Antimicrob Agents
September 2025
Dalle Molle Institute for Artificial Intelligence IDSIA. USI/SUPSI, Via la Santa 1, CH-6962 Lugano-Viganello, Switzerland. Electronic address:
Cell-penetrating peptides (CPPs) are powerful vectors for the intracellular delivery of a diverse array of therapeutic molecules. Despite their potential, the rational design of CPPs remains a challenging task that often requires extensive experimental efforts and iterations. In this study, we introduce an innovative approach for the de novo design of CPPs, leveraging the strengths of machine learning (ML) and optimization algorithms.
View Article and Find Full Text PDFJ Physiol
September 2025
Department of Cell and Molecular Biology, University of Hawaii, Honolulu, HI, USA.
Diagnoses of prediabetes and metabolic syndromes, such as metabolic-associated steatotic liver disease (MASLD), are increasing at an alarming rate worldwide, often simultaneously. A significant consequence of these is high risk of cardiovascular disease, highlighting the need for cardiac-specific therapeutics for intervention during the prediabetic stage. Recent studies have demonstrated that chemogenetic activation of the cardiac parasympathetic system through hypothalamic oxytocin (OXT) neurons provides cardioprotective effects in heart disease models by targeting excitatory neurotransmission to brainstem cardiac vagal neurons.
View Article and Find Full Text PDFFood Chem
September 2025
Wuxi Haihe Equipment Scientific & Technological Co., Wuxi, China.
To study the impact of pH-responsive labels prepared using traditional and different printing methods on fruit freshness monitoring and preservation, this study firstly optimized coaxial 3D printed labels by analyzing core-shell ratios and infill ratios, and predicted the impact of printing design on functionality of labels via four models. Then, the physicochemical properties of cast, dual-nozzle 3D printed, and coaxial 3D printed labels were compared. Finally, lightweight deep convolutional neural network models were used to enhance early warning intelligence.
View Article and Find Full Text PDFPLoS One
September 2025
School of Computer Science, CHART Laboratory, University of Nottingham, Nottingham, United Kingdom.
Background And Objective: Male fertility assessment through sperm morphology analysis remains a critical component of reproductive health evaluation, as abnormal sperm morphology is strongly correlated with reduced fertility rates and poor assisted reproductive technology outcomes. Traditional manual analysis performed by embryologists is time-intensive, subjective, and prone to significant inter-observer variability, with studies reporting up to 40% disagreement between expert evaluators. This research presents a novel deep learning framework combining Convolutional Block Attention Module (CBAM) with ResNet50 architecture and advanced deep feature engineering (DFE) techniques for automated, objective sperm morphology classification.
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