A cell wall protein (P58) was purified from Listeria monocytogenes by detergent extraction and Superose 6 gel chromatography. It had a molecular mass of 58 kDa, was strongly hydrophobic, contained reactive thiol group(s) and was located at least partially on the surface of bacterial cells. Production of this protein varied among different Listeria, being the most prominent in NCTC 7973 of L. monocytogenes, weaker in four other strains of this species and undetectable in tested strains of L. seeligeri and L. innocua. Mice that survived experimental listerial infection produced antibodies against P58. This fact allowed us to speculate that the described protein can be used as a marker for sero-diagnosing of listeriosis.

Download full-text PDF

Source
http://dx.doi.org/10.1007/BF00189376DOI Listing

Publication Analysis

Top Keywords

listeria monocytogenes
8
purification characterization
4
characterization 58-kda
4
58-kda cell
4
cell wall-associated
4
protein
4
wall-associated protein
4
protein listeria
4
monocytogenes cell
4
cell wall
4

Similar Publications

Innovative Applications of Bacteria and Their Derivatives in Targeted Tumor Therapy.

ACS Nano

January 2025

Institute of Nanobiomaterials and Immunology & Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, School of Life Sciences, Taizhou University, Zhejiang Taizhou 318000, China.

Despite significant progress in cancer treatment, traditional therapies still face considerable challenges, including poor targeting, severe toxic side effects, and the development of resistance. Recent advances in biotechnology have revealed the potential of bacteria and their derivatives as drug delivery systems for tumor therapy by leveraging their biological properties. Engineered bacteria, including , , and , along with their derivatives─outer membrane vesicles (OMVs), bacterial ghosts (BGs), and bacterial spores (BSPs)─can be loaded with a variety of antitumor agents, enabling precise targeting and sustained drug release within the tumor microenvironment (TME).

View Article and Find Full Text PDF

Background: Microbial spoilage in meat impedes the development of sustainable food systems. However, our understanding of the origin of spoilage microbes is limited. Here, we describe a detailed longitudinal study that assesses the microbial dynamics in a meat processing facility using high-throughput culture-dependent and culture-independent approaches to reveal the diversity, dispersal, persistence, and biofilm formation of spoilage-associated microbes.

View Article and Find Full Text PDF

Listeriolysin O (LLO) is a potent membrane-damaging pore-forming toxin (PFT) secreted by the bacterial pathogen . LLO belongs to the family of cholesterol-dependent cytolysins (CDCs), which specifically target cholesterol-containing cell membranes to form oligomeric pores and induce membrane damage. CDCs, including LLO, harbor designated pore-forming motifs.

View Article and Find Full Text PDF

A variety of phytochemicals from different plants are collected by bees into bee pollen granules. This research focused on evaluating the effects of lactic acid fermentation and enzymatic hydrolysis on the antibacterial activity of bee pollen and its interaction with antibiotics. There is limited knowledge regarding the interactions between treated bee pollen extracts and antibiotics, and this study contributes to the field by providing new insights into the antibacterial activity of pollen subjected to eight distinct treatment methods.

View Article and Find Full Text PDF

Among the various causes of rhomboencephalitis, infection is the most common. However, conventional microbiological methods often yield negative results, making diagnosis challenging and leading to extensive, often inconclusive, diagnostics. Advanced molecular techniques like metagenomic next-generation sequencing (mNGS) offer a powerful and efficient approach to pathogen identification.

View Article and Find Full Text PDF

Want 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!