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Microorganisms represent most of the biodiversity of living organisms in every ecological habitat. They have profound effects on the functioning of any ecosystem, and therefore on the health of our planet and of human beings. Moreover, microorganisms are the main protagonists in food, medical and biotech industries, and have several environmental applications. Accordingly, the characterization and preservation of microbial biodiversity are essential not only for the maintenance of natural ecosystems but also for research purposes and biotechnological exploitation. In this context, culture collections (CCs) and microbial biological resource centres (mBRCs) are crucial for the safeguarding and circulation of biological resources, as well as for the progress of life sciences. This review deals with the expertise and services of CCs, in particular concerning preservation and characterization of microbial resources, by pointing to the advanced approaches applied to investigate a huge reservoir of microorganisms. Data sharing and web services as well as the tight interconnection between CCs and the biotechnological industry are highlighted. In addition, guidelines and regulations related to quality management systems (QMSs), biosafety and biosecurity issues are discussed according to the perspectives of CCs and mBRCs.
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http://dx.doi.org/10.3390/microorganisms7120685 | DOI Listing |
BMC Res Notes
September 2025
Center for Molecular Medicine Cologne, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany.
Objectives: Small cell lung cancer (SCLC) accounts for approximately 15% of lung tumors and is marked by aggressive growth and early metastatic spread. In this study, we used two SCLC mouse models with differing tumor mutation burdens (TMB). To investigate tumor composition, spatial architecture, and interactions with the surrounding microenvironment, we acquired multiplexed images of mouse lung tumors using imaging mass cytometry (IMC).
View Article and Find Full Text PDFBMC Geriatr
September 2025
Faculty of Medicine, RWTH Aachen University, Pauwelsstraße 30, 52074, Aachen, Germany.
Background: Hospital admissions occur frequently in nursing homes and are often preventable. Inappropriate hospitalisations due to nursing home-sensitive conditions pose significant risks to residents, place additional strain on emergency departments and hospitals, and thus lead to substantial healthcare costs. In light of demographic changes- characterised by an aging and increasingly multimorbid nursing home population- combined with ubiquitous lack of health care professionals, new strategies are urgently needed to ensure adequate medical care in nursing homes.
View Article and Find Full Text PDFAnn Am Thorac Soc
September 2025
Erasmus MC, Rotterdam, Zuid-Holland, Netherlands.
Rationale: Modulator therapies like ivacaftor have revolutionized clinical management of cystic fibrosis (CF), showing marked short-term benefits in trials but heterogeneous findings in long-term observational studies. Since newer modulators have become the standard of care for the majority living with CF in the U.S.
View Article and Find Full Text PDFChaos
September 2025
School of Engineering, University of Applied Sciences of Western Switzerland HES-SO, CH-1950 Sion, Switzerland.
We investigate species-rich mathematical models of ecosystems. While much of the existing literature focuses on the properties of equilibrium fixed-points, persistent dynamics (e.g.
View Article and Find Full Text PDFJ Chem Phys
September 2025
School of Materials, Sun Yat-Sen University, Shenzhen, Guangdong 518107, China.
We introduce an extended formulation of the non-Markovian stochastic Schrödinger equation with complex frequency modes (extended cNMSSE), designed for simulating open quantum system dynamics under arbitrary spectral densities. This extension employs non-exponential basis sets to expand the bath correlation functions, overcoming the reliance of the original cNMSSE on exponential decompositions of the spectral density. Consequently, the extended cNMSSE is applicable to environments beyond those characterized by Debye-type spectral densities.
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