A large-scale purification scheme was developed for lipopolysaccharide-free protein P, the phosphate-starvation-inducible outer-membrane porin from Pseudomonas aeruginosa. This highly purified protein P was used to successfully form hexagonal crystals in the presence of n-octyl-beta-glucopyranoside. Amino-acid analysis indicated that protein P had a similar composition to other bacterial outer membrane proteins, containing a high percentage (50%) of hydrophilic residues. The amino-terminal sequence of this protein, although not homologous to either outer membrane protein, PhoE or OmpF, of Escherichia coli, was found to have an analogous protein-folding pattern. Protein P in the native trimer form was capable of maintaining a stable functional trimer after proteinase cleavage. This suggested the existence of a strongly associated tertiary and quaternary structure. Circular dichroism studies confirmed these results in that a large proportion of the protein structure was determined to be beta-sheet and resistant to acid pH and heating in 0.1% sodium dodecyl sulphate.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/0005-2736(88)90082-x | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Parameter Pool-Assisted Centrifugation Sorter for Multiscale Higher-Order DNA Nanomaterials.
ACS Nano
January 2025
State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China.
Higher-order DNA nanomaterials have emerged as programmable tools for probing biological processes, constructing metamaterials, and manipulating mechanically active nanodevices with the multifunctionality and high-performance attributes. However, their utility is limited by intricate mixtures formed during hierarchical multistage assembly, as standard techniques like gel electrophoresis lack the resolution and applicability needed for precise characterization and enrichment. Thus, it is urgent to develop a sorter that provides high separation resolution, broad scope, and bioactive functionality.
View Article and Find Full Text PDF100 Years of Insulin: A Historical Perspective.
Curr Top Med Chem
January 2025
School of Chemistry, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
Background: Diabetes mellitus, a metabolic disease characterized by high blood glucose levels, has increased dramatically in recent years, prompting the need for more affordable diagnoses and treatments.
Objective: This study aimed to conduct a brief historical and theoretical review on the development of insulin.
Methods: Scientific and technological data have been retrieved and analyzed with a focus on the development of the active pharmaceutical ingredient insulin and insulin-based medicines.
Systematic optimisation of crude buccal swab lysate protocols for use with the ForenSeq™ DNA Signature Prep Kit.
Int J Legal Med
January 2025
Division of Forensic Medicine and Toxicology, Department of Pathology, Faculty of Health Science, University of Cape Town, Cape Town, South Africa.
The ForenSeq™ DNA Signature Prep kit has not been thoroughly tested with crude buccal swab lysates in large-scale population studies using massively parallel sequencing (MPS). Commonly used lysis buffers for swabs intending to undergo direct polymerase chain reaction (PCR) are SwabSolution™ and STR GO! Lysis Buffers, and these have been successfully used to generate population data using capillary electrophoresis (CE) systems. In this study, we investigated the performance and optimisation of SwabSolution™ and STR GO! lysates with the ForenSeq™ DNA Signature Prep workflow and addressed the challenge of failed MPS profiles in initial trials.
View Article and Find Full Text PDFUnveiling the ghost: machine learning's impact on the landscape of virology.
J Gen Virol
January 2025
Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
The complexity and speed of evolution in viruses with RNA genomes makes predictive identification of variants with epidemic or pandemic potential challenging. In recent years, machine learning has become an increasingly capable technology for addressing this challenge, as advances in methods and computational power have dramatically improved the performance of models and led to their widespread adoption across industries and disciplines. Nascent applications of machine learning technology to virus research have now expanded, providing new tools for handling large-scale datasets and leading to a reshaping of existing workflows for phenotype prediction, phylogenetic analysis, drug discovery and more.
View Article and Find Full Text PDFDifferences in gut microbial diversity and composition between growth phenotypes of farmed juvenile sandfish, Holothuria scabra.
BMC Microbiol
January 2025
The Marine Science Institute, College of Science, University of the Philippines Diliman, Quezon City, Philippines.
Background: The observed growth variability of different aquaculture species in captivity hinders its large-scale production. For the sandfish Holothuria scabra, a tropical sea cucumber species, there is a scarcity of information on its intestinal microbiota in relation to host growth, which could provide insights into the processes that affect growth and identify microorganisms with probiotic or biochemical potential that could improve current production strategies. To address this gap, this study used 16 S rRNA amplicon sequencing to characterize differences in gut and fecal microbiota among large and small juveniles reared in floating ocean nurseries.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!