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The Arabidopsis Basic-Helix-Loop-Helix Transcription Factor LRL1 Activates Cell Wall-Related Genes during Root Hair Development.
Plant Cell Physiol
January 2025
Institute for Chemical Research, Kyoto University, Gokasho, Uji, 611-0011 Kyoto, Japan.
Lotus japonicus-ROOT HAIR LESS1-LIKE1 (LRL1) of Arabidopsis thaliana encodes a basic helix-loop-helix (bHLH) transcription factor (TF) involved in root hair development. Root hair development is regulated by an elaborate transcriptional network, in which GLABRA2 (GL2), a key negative regulator, directly represses bHLH TF genes, including LRL1 and ROOT HAIR DEFECTIVE6 (RHD6). Although RHD6 and its paralogous TFs have been shown to connect downstream to genes involved in cell morphological events such as endomembrane and cell wall modification, the network downstream of LRL1 remains elusive.
View Article and Find Full Text PDFNew insights in the systematics of the Hemiuroidea (Digenea: Hemiurata) based on the integrative taxonomy approach.
Syst Parasitol
January 2025
Pacific branch of the Federal State Budget Scientific Institution "Russian Federal Research Institute of Fisheries and Oceanography", 4 Alley Shevchenko, Vladivostok, Russian Federation, 690091.
Opistholecithum sandugaense n. g. n.
View Article and Find Full Text PDFThe impact of sleep interventions combined with enhanced nutritional support on sleep quality, nutritional status, pain management, psychological well-being, and quality of life in postoperative colon cancer patients.
J Cancer Res Clin Oncol
January 2025
Department of Neurology, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou City, Jiangsu Province, China.
Objective: To investigate the synergistic effects of combined sleep interventions and enhanced nutritional support on postoperative recovery in colon cancer patients, with a focus on sleep quality, nutritional status, pain management, psychological well-being, and quality of life.
Methods: This randomized controlled trial included 290 postoperative colon cancer patients admitted to the First Affiliated Hospital of Soochow University between May 2021 and May 2023. Participants were randomized into two groups: the intervention group, which received standard care supplemented with sleep and nutritional interventions, and the control group, which received standard care alone.
Backgrounds: Biomedical research requires sophisticated understanding and reasoning across multiple specializations. While large language models (LLMs) show promise in scientific applications, their capability to safely and accurately support complex biomedical research remains uncertain.
Methods: We present , a novel question-and-answer benchmark for evaluating LLMs in biomedical research.
Drug discovery continues to face a staggering 90% failure rate, with many setbacks occurring during late-stage clinical trials. To address this challenge, there is an increasing focus on developing and evaluating new technologies to enhance the "design" and "test" phases of antibody-based drugs (e.g.
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