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The 14-3-3 proteins are highly conserved and widely distributed across eukaryotes. Some 14-3-3 proteins have been identified as regulators of phosphorus (Pi) deficiency tolerance in rice, but their diverse functions remain largely unexplored. In this study, we characterized the role of rice plant-specific non-ε group 14-3-3 proteins (OsGF14a-f) in response to Pi starvation by mutating these genes. We found that the expression of OsGF14a decreased in response to Pi starvation, while the expression of other non-ε group genes was induced. Subcellular localization studies transiently expressing them in tobacco leaves showed that OsGF14a was present in both the cytoplasm and nucleus, whereas the other proteins were predominantly localized in the cytoplasm. By developing single and multiple mutants, we demonstrated that OsGF14a plays a negative role in Pi homeostasis and root growth, while OsGF14b, OsGF14c and OsGF14f may act as positive regulators of Pi homeostasis and root growth in rice. However, all non-ε group 14-3-3 genes positively regulated rhizosphere acidification. Furthermore, the mutation of OsGF14a enhanced Pi accumulation and plant growth under various Pi supply conditions, likely due to the induction of OsPHR3, OsPT2 and OsPHO1;2 in the roots. Overall, this study highlights the diverse functions of plant-specific non-ε group 14-3-3 proteins in response to Pi starvation in rice and identifies the mutation of OsGF14a as a potential strategy to improve rice tolerance to Pi deficiency.
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http://dx.doi.org/10.1186/s12284-025-00840-1 | DOI Listing |
BMC Nephrol
June 2025
Department of Internal Medicine and Department of Medical Research, Bærum Hospital, Vestre Viken Hospital Trust, Drammen, Norway.
Background: Early diagnosis of kidney amyloidosis is essential for optimal treatment and improved outcomes. This large, nationwide cohort spanning three decades, explores the changing epidemiology and clinical presentation of kidney amyloidosis in Norway, aiming to raise amyloid awareness.
Methods: In the 30-year period (1988-2017), we identified 479 patients with biopsy-confirmed kidney amyloidosis from national registries.
JCO Clin Cancer Inform
May 2025
University of California San Francisco, San Francisco, CA.
Purpose: Artificial intelligence (AI) tools could improve clinical decision making or exacerbate inequities because of bias. African American (AA) men reportedly have a worse prognosis for prostate cancer (PCa) and are underrepresented in the development genomic biomarkers. We assess the generalizability of tools developed using a multimodal AI (MMAI) deep learning system using digital histopathology and clinical data from NRG/Radiation Therapy Oncology Group PCa trials across racial subgroups.
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April 2025
Department of Gastroenterology, The Fifth Affiliated Hospital of Wenzhou Medical University and Lishui Municipal Central Hospital, Lishui, China.
Objectives: As anesthesia assisted (AA) colonoscopy becomes increasingly popular, there has been concern about its impact on the quality of colonoscopy examinations. We aimed to clarify the impact of anesthesia assistance on the adenoma detection rate (ADR) and non-adenomatous polyp detection rate (PDR) of colonoscopy.
Methods: We collected data from patients undergoing colonoscopy throughout the year 2023 at our institution, with a total of 16,465 cases identified for potential analysis.
Background And Aims: Appendicitis is the most common surgical emergency in pediatric patients, requiring timely diagnosis to prevent complications. This study introduces an innovative approach by integrating clinical, laboratory, and imaging features with advanced machine-learning techniques to enhance diagnostic accuracy in pediatric appendicitis.
Methods: A retrospective analysis was conducted on 782 pediatric patients from the Regensburg Pediatric Appendicitis Data set.
J Hazard Mater
June 2025
CAS Key Laboratory of Urban Pollutant Conversion, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China. Electronic address:
The activated sludge system used in wastewater treatment plants has demonstrated partial removal capabilities for various contaminants of emerging concern (CECs). However, existing research primarily focuses on the removal efficiency individual or combined CECs, with limited research addressing their impact on microbial community. In this study, three activated sludge systems were developed to investigate the effects of low concentrations of CECs, including five types of antibiotics and five types of non-antibiotic CECs.
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