The first ever cyanobacterial genome sequence was determined two decades ago and CyanoBase (http://genome.microbedb.jp/cyanobase), the first database for cyanobacteria was simultaneously developed to allow this genomic information to be used more efficiently. Since then, CyanoBase has constantly been extended and has received several updates. Here, we describe a new large-scale update of the database, which coincides with its 20th anniversary. We have expanded the number of cyanobacterial genomic sequences from 39 to 376 species, which consists of 86 complete and 290 draft genomes. We have also optimized the user interface for large genomic data to include the use of semantic web technologies and JBrowse and have extended community-based reannotation resources through the re-annotation of Synechocystis sp. PCC 6803 by the cyanobacterial research community. These updates have markedly improved CyanoBase, providing cyanobacterial genome annotations as references for cyanobacterial research.
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http://dx.doi.org/10.1093/nar/gkw1131 | DOI Listing |
World J Gastrointest Surg
January 2025
Department of Hepatopancreatobiliary Surgery, Chongqing General Hospital, Chongqing 401147, China.
Microwave ablation (MWA) is emerging as a highly effective treatment for colorectal liver metastases (CRLMs). This review explores the advantages of MWA compared to other ablative techniques such as radiofrequency ablation and cryoablation and highlights its clinical efficacy, safety, and technical considerations. MWA offers significant benefits, including higher intratumoral temperatures, larger ablation zones, and reduced susceptibility to the heat-sink effect, which make it particularly suitable for tumors near large blood vessels.
View Article and Find Full Text PDFEntropy (Basel)
December 2024
School of Computer Science, Peking University, Beijing 100871, China.
Multi-agent systems often face challenges such as elevated communication demands, intricate interactions, and difficulties in transferability. To address the issues of complex information interaction and model scalability, we propose an innovative hierarchical graph attention actor-critic reinforcement learning method. This method naturally models the interactions within a multi-agent system as a graph, employing hierarchical graph attention to capture the complex cooperative and competitive relationships among agents, thereby enhancing their adaptability to dynamic environments.
View Article and Find Full Text PDFBioengineering (Basel)
January 2025
Institute of Electronic Information Engineering, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, China.
Due to the labor-intensive manual annotations for nuclei segmentation, point-supervised segmentation based on nuclei coordinate supervision has gained recognition in recent years. Despite great progress, two challenges hinder the performance of weakly supervised nuclei segmentation methods: (1) The stable and effective segmentation of adjacent cell nuclei remains an unresolved challenge. (2) Existing approaches rely solely on initial pseudo-labels generated from point annotations for training, and inaccurate labels may lead the model to assimilate a considerable amount of noise information, thereby diminishing performance.
View Article and Find Full Text PDFCurr Cardiol Rep
January 2025
Division of Heart and Vascular, Metrohealth Medical Center, 2500 Metrohealth Dr, Cleveland, OH, 44109, USA.
Purpose Of Review: Eosinophilic myocarditis (EM) is a rare and heterogeneous form of inflammatory heart disease that can present with a wide range of severity. Current literature is limited to case reports or small case series that outline the evaluation process, disease course, and the nonstandardized treatments trialed. This review aims to concisely summarize the current literature on EM including an update on maintenance therapy for refractory or recurrent disease.
View Article and Find Full Text PDFSemin Immunopathol
January 2025
Department of Obstetrics and Fetal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Overweight and obesity (OWO) are linked to dyslipidemia and low-grade chronic inflammation, which is fueled by lipotoxicity and oxidative stress. In the context of pregnancy, maternal OWO has long been known to negatively impact on pregnancy outcomes and maternal health, as well as to imprint a higher risk for diseases in offspring later in life. Emerging research suggests that individual lipid metabolites, which collectively form the lipidome, may play a causal role in the pathogenesis of OWO-related diseases.
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