Killer toxin K1 of Saccharomyces cerevisiae kills sensitive cells of the same species by disturbing the ion gradient across the plasma membrane after binding to the receptor at cell wall beta-1,6-glucan. Killer protein K2 is assumed to act by a similar mechanism. To identify the putative plasma membrane receptors for both toxins we mutagenized three sensitive S. cerevisiae strains and searched for clones with killer-resistant spheroplasts. The well diffusion assay identified three phenotypically different groups of clones: clones resistant simultaneously to both toxins, clones with lowered sensitivity to only K1 toxin and those with strongly lowered sensitivity to K2 and partially lowered sensitivity to K1 toxin. These phenotypes are controlled by recessive mutations that belong to at least four different complementation groups. This indicates certain differences at the level of interaction of K1 and K2 toxin with sensitive cells.
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http://dx.doi.org/10.1111/j.1567-1364.2002.tb00070.x | DOI Listing |
Knee Surg Sports Traumatol Arthrosc
January 2025
Department of Joint Surgery and Sports Medicine, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan.
Purpose: This study aimed to investigate whether combining the analysis of different magnetic resonance imaging (MRI) signs enhances the diagnostic accuracy of lateral meniscus posterior root tears (LMPRTs) in patients with anterior cruciate ligament (ACL) injuries. We hypothesised that analysing the cleft, ghost and truncated triangle signs and lateral meniscus extrusion (LME) measurement together would improve the preoperative MRI-based diagnosis of LMPRTs.
Methods: This retrospective study used prospectively collected registry data from two academic centres, including patients undergoing primary or revision ACL reconstruction (ACLR) and LMPRT repair.
BMC Cardiovasc Disord
January 2025
Department of Cardiology, Northern Jiangsu People's Hospital, Nantong West Road No. 98, Yangzhou, Jiangsu, 225001, China.
Objectives: The aim of this study was to explore the correlation between blood test indicators and Atrial Fibrillation (AF) in Individuals Aged 65 and Older in Yangzhou, Jiangsu.
Methods: From January 1, 2019, to August 31, 2023, an epidemiological cross-sectional survey was conducted among the elderly population undergoing health check-ups at Northern Jiangsu People's Hospital in Jiangsu Province. Patients diagnosed with AF after a 12-lead electrocardiogram were included in the case group, and non-AF individuals matched by age and gender in a 1:4 frequency ratio were included in the control group.
BMC Cancer
January 2025
Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
Background: Butaro Cancer Center of Excellence (BCCOE) was founded to serve Rwanda's rural low-income population, providing subsidized cancer diagnosis and treatment with transport stipends for the lowest-income patients. We examined whether travel distance to BCCOE was associated with advanced-stage diagnoses and treatment completion.
Methods: We conducted a retrospective cohort study using medical record data from BCCOE patients with pathologically-confirmed breast cancer from 2012-2016.
BMC Res Notes
January 2025
Department of Surgery, Department of Clinical Sciences, Division of Surgery, Skåne University Hospital, Lund University, Lund, Sweden.
Objectives: Positive resection margins after breast-conserving surgery (BCS) most often demands a repeat surgery. To preoperatively identify patients at risk of positive margins, a multivariable model has been developed that predicts positive margins after BCS with a high accuracy. This study aimed to externally validate this prediction model to explore its generalizability and assess if additional preoperatively available variables can further improve its predictive accuracy.
View Article and Find Full Text PDFCurr Environ Health Rep
January 2025
School of Health Sciences, Purdue University, West-Lafayette, IN, 47906, USA.
Purpose Of Review: This review explores the use of Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and X-ray Fluorescence (XRF) for quantifying metals and metalloids in biological matrices such as hair, nails, blood, bone, and tissue. It provides a comprehensive overview of these methodologies, detailing their technological limitations, application scopes, and practical considerations for selection in both laboratory and field settings. By examining traditional and novel aspects of each method, this review aims to guide researchers and clinical practitioners in choosing the most suitable analytical tool based on their specific needs for sensitivity, precision, speed, and sample preparation.
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