We describe a 5' untranslated region (5'UTR) that dramatically increases the expression level of an exogenous gene in Aspergillus oryzae. Using a series of 5'UTR::GUS (uidA) fusion constructs, we analyzed the translation efficiency of chimeric mRNAs with different 5'UTRs at different temperatures. We found that the 5'UTR of a heat-shock protein gene, Hsp12, greatly enhanced the translation efficiency of the chimeric GUS mRNA at normal temperature (30 degrees C). Moreover, at high temperature (37 degrees C), the translation efficiency of the mRNA containing the Hsp12 5'UTR was far superior to that of mRNAs containing nonheat-shock 5'UTRs, resulting in much more efficient expression of GUS protein (about 20-fold higher GUS activity compared to the control construct). This 5'UTR can be used in combination with various strong promoters to enhance the expression of foreign proteins in A. oryzae.
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http://dx.doi.org/10.1007/s00253-005-0083-x | DOI Listing |
J Gen Virol
January 2025
Graduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung 40227, Taiwan, ROC.
RNA structures that are functionally important are defined as -acting RNA elements because their functions cannot be compensated for in trans. The -acting RNA elements in the 3' UTR of coronaviruses are important for replication; however, the mechanism linking the -acting RNA elements to their replication function remains to be established. In the present study, a comparison of the biological processes of the interactome and the replication efficiency between the 3' UTR -acting RNA elements in coronaviruses, including severe acute respiratory syndrome coronavirus 2, suggests that (i) the biological processes, including translation, protein folding and protein stabilization, derived from the analysis of the -acting RNA element interactome and (ii) the architecture of the -acting RNA elements and their interactomes are highly correlated with coronavirus replication.
View Article and Find Full Text PDFFront Robot AI
January 2025
Life- and Neurosciences, Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany.
Biological vision systems simultaneously learn to efficiently encode their visual inputs and to control the movements of their eyes based on the visual input they sample. This autonomous joint learning of visual representations and actions has previously been modeled in the Active Efficient Coding (AEC) framework and implemented using traditional frame-based cameras. However, modern event-based cameras are inspired by the retina and offer advantages in terms of acquisition rate, dynamic range, and power consumption.
View Article and Find Full Text PDFJ Tissue Eng
January 2025
Developmental and Cellular Biology, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Growing evidence indicates that type 2 diabetes (T2D) is associated with an increased risk of developing Parkinson's disease (PD) through shared disease mechanisms. Studies show that insulin resistance, which is the driving pathophysiological mechanism of T2D plays a major role in neurodegeneration by impairing neuronal functionality, metabolism and survival. To investigate insulin resistance caused pathological changes in the human midbrain, which could predispose a healthy midbrain to PD development, we exposed iPSC-derived human midbrain organoids from healthy individuals to either high insulin concentration, promoting insulin resistance, or to more physiological insulin concentration restoring insulin signalling function.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, 10903 New Hampshire Ave, Silver Spring, MD, 20993, USA.
Continuous and consistent access to quality medical imaging data stimulates innovations in artificial intelligence (AI) technologies for patient care. Breakthrough innovations in data-driven AI technologies are founded on seamless communication between data providers, data managers, data users and regulators or other evaluators to determine the standards for quality data. However, the complexity in imaging data quality and heterogeneous nature of AI-enabled medical devices and their intended uses presents several challenges limiting the clinical translation of novel AI technologies.
View Article and Find Full Text PDFActa Biomater
January 2025
Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province, School of Pharmaceutical Sciences and School of Basic Medical Sciences, Huzhou Central Hospital, The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Zhejiang Chinese Medical University, Hangzhou, China. Electronic address:
Epilepsy is a common neurological disease characterized by distinct pathological changes in the epileptogenic zone. Antiseizure drugs (ASDs) are widely used as the primary treatment for epilepsy. To improve the efficiency of ASDs medication, stimuli-responsive nanoscale drug delivery systems (nanoDDSs), triggered by either endogenous or exogenous factors, have been developed and been considered as a noninvasive and spatial-temporal approach to epilepsy theranostics.
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