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Plants possess remarkably durable resistance against non-adapted pathogens in nature. However, the molecular mechanisms underlying this resistance remain poorly understood, and it is unclear how the resistance is maintained without coevolution between hosts and the non-adapted pathogens. In this study, we used Phytophthora sojae (Ps), a non-adapted pathogen of N.

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Light and dark biofilm adaptation impacts larval settlement in diverse coral species.

Environ Microbiome

January 2025

Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, Australia.

Background: Recovery of degraded coral reefs is reliant upon the recruitment of coral larvae, yet the mechanisms behind coral larval settlement are not well understood, especially for non-acroporid species. Biofilms associated with reef substrates, such as coral rubble or crustose coralline algae, can induce coral larval settlement; however, the specific biochemical cues and the microorganisms that produce them remain largely unknown. Here, we assessed larval settlement responses in five non-acroporid broadcast-spawning coral species in the families Merulinidae, Lobophyllidae and Poritidae to biofilms developed in aquaria for either one or two months under light and dark treatments.

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Background: Ovarian cancer (OC), particularly high-grade serous ovarian carcinoma (HGSOC), is the leading cause of mortality from gynecological malignancies worldwide. Despite the initial effectiveness of treatment, acquired resistance to poly(ADP-ribose) polymerase inhibitors (PARPis) represents a major challenge for the clinical management of HGSOC, highlighting the necessity for the development of novel therapeutic strategies. This study investigated the role of 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase 3 (PFKFB3), a pivotal regulator of glycolysis, in PARPi resistance and explored its potential as a therapeutic target to overcome PARPi resistance.

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Background: Drug-drug interactions (DDIs) especially antagonistic ones present significant risks to patient safety, underscoring the urgent need for reliable prediction methods. Recently, substructure-based DDI prediction has garnered much attention due to the dominant influence of functional groups and substructures on drug properties. However, existing approaches face challenges regarding the insufficient interpretability of identified substructures and the isolation of chemical substructures.

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Background: Clear cell renal cell carcinoma (ccRCC) has a high incidence rate and poor prognosis, and currently lacks effective therapies. Recently, peptide-based drugs have shown promise in cancer treatment. In this research, a new endogenous peptide called CBDP1 was discovered in ccRCC and its potential anti-cancer properties were examined.

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