An assessment of the capabilities of biotechnology core facilities requires access to current data on state-of-the-art technologies, personnel, space, services, financial issues, and the demand for such facilities. Data on these topics should be useful to researchers, facility personnel, administrators, and granting agencies.To obtain such data, the Association of Biomolecular Resource Facilities (ABRF) conducted a general survey on the operation and technical capabilities of core facilities. A total of 81 ABRF core laboratories voluntarily responded to the survey. Just over 60% of the respondents were from academic institutions, with the remaining located in research institutes, industry, and one U.S. government laboratory. Fifty laboratories provided financial data, with 47 of these operating on a nonprofit basis. Four laboratories were fully self-supporting from user fees.A typical facility had three full-time staff members and occupied approximately 1100 square feet (ft(2)). The most frequently offered services were N-terminal protein sequencing, protein fragmentation, peptide synthesis and purification, amino acid analysis, DNA synthesis, and DNA sequencing. One third of the facilities provided mass analysis by matrix-assisted laser desorption and ionization (MALDI) mass spectrometry, a recently introduced service that has been offered on an average for 3 years. Another relatively new service, bioinformatics support, is offered by about one third of the responding laboratories.
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January 2025
Leicester Institute for Pharmaceutical Innovation, Leicester School of Pharmacy, De Montfort University, The Gateway, Leicester, LE1 9BH, UK.
Guiding molecular assembly of peptides into rationally engineered nanostructures remains a major hurdle against the development of functional peptide-based nanomaterials. Various non-covalent interactions come into play to drive the formation and stabilization of these assemblies, of which electrostatic interactions are key. Here, the atomistic mechanisms by which electrostatic interactions contribute toward controlling self-assembly and lateral association of ultrashort β-sheet forming peptides are deciphered.
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January 2025
Manchester Institute of Biotechnology, Department of Chemistry, University of Manchester, 131 Princess St, Manchester, M1 7DN, United Kingdom. Electronic address:
Since their discovery in Mycobacterium tuberculosis (Mtb), F-dependent enzymes have been identified as both important drug targets and potential industrial biocatalysts, including for bioremediation of otherwise recalcitrant substrates. Mtb-FGD1, utilizes glucose 6-phosphate (G6P) as an electron donor for the reduction of F. Current expression systems for Mtb-FGD1 use Mycobacterium smegmatis as host, because of the tendency for it to form inclusion bodies in E.
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January 2025
Department of Neurology, Cognition and Aging Center, Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan.
Introduction: We integrated plasma biomarkers from the Taiwan Alzheimer's Disease Neuroimaging Initiative and propose a workflow to identify individuals showing amyloid-positive positron emission tomography (PET) with low/intermediate tau burden based on [18F]Florzolotau PET-based quantification.
Methods: We assessed 361 participants across the Alzheimer's disease (AD) and non-AD continuum and measured plasma phosphorylated tau (p-tau)217, p-tau181, amyloid beta (Aβ)42/40 ratio, neurofilament light chain, and glial fibrillary acidic protein levels at two medical centers. We evaluated the diagnostic potential of these biomarkers.
Theranostics
January 2025
Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Activatable multifunctional nanoparticles present considerable advantages in cancer treatment by integrating both diagnostic and therapeutic functionalities into a single platform. These nanoparticles can be precisely engineered to selectively target cancer cells, thereby reducing the risk of damage to healthy tissues. Once localized at the target site, they can be activated by external stimuli such as light, pH changes, or specific enzymes, enabling precise control over the release of therapeutic agents or the initiation of therapeutic effects.
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December 2024
School of Biological Science, Jining Medical University, Jining, China.
The latest breakthroughs in information technology and biotechnology have catalyzed a revolutionary shift within the modern healthcare landscape, with notable impacts from artificial intelligence (AI) and deep learning (DL). Particularly noteworthy is the adept application of large language models (LLMs), which enable seamless and efficient communication between scientific researchers and AI systems. These models capitalize on neural network (NN) architectures that demonstrate proficiency in natural language processing, thereby enhancing interactions.
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