gong, siyuan

6.3 MB

Renal ischemia-reperfusion injury (IRI) is a leading cause of acute kidney injury, associated with mitochondrial dysfunction, excessive reactive oxygen species (ROS) production, and tubular cell apoptosis. The Sigma-1 receptor (Sigma1R), an intracellular chaperone, plays a crucial role in maintaining mitochondrial homeostasis and promoting cellular survival. In this study, we found that Sigma1R expression was significantly downregulated in renal IRI. Overexpression of Sigma1R alleviated renal dysfunction, reduced apoptosis, stabilized mitochondrial membrane potential, and attenuated ROS accumulation. Mechanistically, Sigma1R modulated Rac1 activity and enhanced PINK1/Parkin-mediated mitophagy, which facilitated the removal of damaged mitochondria and the restoration of mitochondrial quality control. In vitro, similar protective effects were observed in HK-2 cells subjected to hypoxia/reoxygenation (H/R) injury. These findings demonstrate that Sigma1R exerts its renoprotective effects by regulating Rac1-mediated mitophagy and improving mitochondrial function, thereby highlighting Sigma1R as a promising therapeutic target for preventing and treating renal IRI.

Kooy, Michael

A Kompetitive Allele Specific PCR (KASP) assay was developed and validated to detect the G143A single nucleotide polymorphism (SNP) in the cytochrome b gene (cytB) of Stemphylium vesicarium, associated with resistance to quinone outside inhibitor (QoI; FRAC Group 11) fungicides. The assay was applied to: (i) a collection of 70 single-spore isolates from onion fields in the Holland Marsh, Ontario from 1995 to 2023; (ii) DNA extracted directly from Burkard multi-vial cyclone sampler tubes collected at the Ontario Crops Research Centre - Bradford in 2021 and 2022; and (iii) single-spore isolates recovered from Burkard collections in 2023-2024. The G143A mutation was detected in 67 of 70 historical isolates, and in all single-spore isolates recovered from Burkard collections in 2023-2024.

Zhang, Guoqiang

47 KB

To address the challenges of ambiguous term boundaries, complex semantic hierarchies, and dispersed structural expressions in Traditional Chinese Medicine (TCM) oncology texts, this study proposes a joint optimization model based on the Bidirectional Encoder Representations from Transformers (BERT) architecture for structured modeling and semantic parsing of TCM oncology texts. This model integrates open-source medical terminology data and anonymized TCM question-answer corpora to construct a well-annotated custom corpus subset (D1: 2,000 paragraphs; D2: 6,000 paragraphs; D3: 12,000 paragraphs) for training and evaluation. The data primarily derive from the national standard TCM terminology database, abstracts of Chinese medical research papers, and Q&A content from TCM consultation forums. Begin-Inside-Outside sequence labeling and paragraph-level semantic classification annotations are applied. A BERT–Conditional Random Field–Multilayer Perceptron joint modeling architecture is designed, incorporating staged unfreezing and dynamic loss weighting mechanisms to improve model generalization. Comparative performance experiments demonstrate the superiority of the proposed model in various aspects, including inference latency (e.g., 6.798 ms per item on the D3 dataset), worst-case accuracy (91.364%), parameter efficiency, and training stability (fluctuation rate: 0.492). For the tokenization task, the model significantly outperforms baselines in metrics such as Strict-F1 (93.723 on D3), entity-level recall (93.764% on D2), and average span error (0.608 on D1). In the classification task, demonstrate that this joint modeling approach effectively supports fine-grained terminology recognition and semantic segmentation in TCM oncology texts. It provides a solid foundation for developing structured information extraction systems for TCM knowledge bases, follow-up records, and consultation notes aimed at tumor patient management and integrated clinical decision support.

Stohler, Stephan · Stohler, Stephan · Ingram, Matthew · et al.

Free press protections are fundamental to constitutional democracy, yet their enforcement varies when judges themselves face media scrutiny. Drawing on 658 decisions from nine democratic countries and the European Court of Human Rights, we show that judges are significantly less likely to uphold press rights when coverage targets the judiciary rather than elected officials or bureaucrats. This pattern persists across different constitutional systems and legal traditions, even after accounting for legal doctrine, coverage tone, and institutional strength. Using regression analysis, sentiment scoring, and qualitative case studies, we demonstrate that judges often invoke distinct justifications when limiting press freedom in these cases. By examining judicial decision-making through the lens of institutional self-interest, this article contributes to scholarship on judicial behavior, comparative constitutional law, and freedom of expression. Our findings reveal a fundamental limitation in constitutional governance: rights enforcement weakens when judges face accountability pressures. These dynamics raise serious questions about whether judges can reliably protect critical oversight as democracies worldwide increasingly entrust unelected judges with decisions that shape citizens' lives.

Overchuk, Marta

Figure 1. (A) Metastatic and relatively chemoresistant OVCAR-3 cells are more sensitive to Cum OOH-induced lipid peroxidation than primary and chemosensitive Caov-3 cells. (B) Dose-response curves showing differential sensitivity to Cum OOH between OVCAR-3 and Caov-3 cells. (C) Oxidized C11 BODIPY fluorescence in OVCAR-3 and Caov-3 cells treated with 50 μM Cum OOH for 1.5 h. Blue – Hoechst fluorescence, green – oxidized C11 BODIPY fluorescence. Volcano plot (D) and a heatmap (E) depicting differentially expressed PCs between OVCAR-3 and Caov-3 cells. Volcano plot (F) and a heatmap (G) depicting differentially expressed PEs between OVCAR-3 and Caov-3 cells. Arrows indicate an increase in unsaturation index calculated as the total carbon chain length divided by the total number of double bonds. Peak areas of PC(40:10) (H) and PE(P-34:6) (I) as representative polyunsaturated phospholipids.

Overchuk, Marta

Figure 5. Oxidized lipids induced by ML210 and PDT. Volcano plots demonstrating differentially expressed lipid hydroxides and hydroperoxides in OVCAR-3 cells treated with (A) ML210 and (B) PDT at 1 J/cm2. Heatmaps depicting Z-scores of differentially expressed oxidized lipids in (C) ML210- and (D) PDT-treated OVCAR-3 cells. (E, F, G, H) Box plots showing log2 fold changes of the four oxidized lipid species significantly upregulated by both ML210 and PDT. Volcano plots demonstrating differentially expressed lipid hydroxides and hydroperoxides in Caov-3 cells treated with (I) ML210 and (J) PDT at 1 J/cm2.

Takano, Takeshi · Takano, Takeshi

9.8 KB

This dataset contains the replication data for "Neonatal social communication and single genes predict the variability of post-pubertal social behavior in a mouse model of paternal 15q11-13 duplication" paper.

Athaiya, Shaswati

5.6 MB

This dataset contains raw files from a project assessing applicability of CD90, CD105 and CD73 as signature markers for cultured murine bone marrow-derived mesenchymal stem cell as well as their utility for in situ identification of breast tumor recruited mesenchymal stem cells. The project proposes podoplanin as an effective marker for both in vitro and in vivo characterization of bone marrow derived mesenchymal stem cells. We are also exploring potential function of podoplanin expression on these cells once recruited to breast tumors.

Dowen, Jill

The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.

de Holanda Juca Silveira, Lara

2.2 MB

This is the raw data and analyses performed on blood samples of COVID-19-infected ICU patients, analysed for the gene expression of innate immunity related targets.