Approximately 5000 plaques derived from a Brassica napus L. (canola) seed-cDNA library representing 15 days after pollination (DAP) were differentially screened for highly expressed genes at the early stages of seed development. Analysis of 104 differentially expressed sequence tags revealed 54 unique genes, of which 33 had putative homologues described in Arabidopsis thaliana (L.) Heynh. or B. napus. These encoded diverse proteins, ranging from proteins of unknown function to metabolic enzymes and proteins associated with cell structure and development. Twenty-five genes were only expressed in seeds, and 11 of these started to express as early as 5 or 10 DAP. The majority of the seed-specific genes that are expressed at early stages of seed development encoded proteins with high similarity to hypothetical Arabidopsis proteins. Tissue-specificity determined by Northern analysis revealed that four seed-specific genes were expressed only in seed coats and another five in both embryos and seed coats. Analysis of transcript profiles of seed-abundant as well as seed-specific genes, and their expression patterns, implies that the B. napus seed is undergoing an active cell proliferation during 10-20 DAP, while establishing metabolic networks for subsequent seed maturation.
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http://dx.doi.org/10.1007/s00425-003-1124-2 | DOI Listing |
J Magn Reson Imaging
January 2025
Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Osteoarthritis (OA) is heterogeneous and involves structural changes in the whole joint, such as cartilage, meniscus/labrum, ligaments, and tendons, mainly with short T2 relaxation times. Detecting OA before the onset of irreversible changes is crucial for early proactive management and limit growing disease burden. The more recent advanced quantitative imaging techniques and deep learning (DL) algorithms in musculoskeletal imaging have shown great potential for visualizing "pre-OA.
View Article and Find Full Text PDFNicotine Tob Res
January 2025
Department of Population Health Sciences, University of Leicester, Leicester, UK.
Introduction: Varenicline is an α4β2 nicotinic acetylcholine receptor partial agonist with the highest therapeutic efficacy of any pharmacological smoking cessation aid and a 12-month cessation rate of 26%. Genetic variation may be associated with varenicline response, but to date no genome-wide association studies of varenicline response have been published.
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J Cancer Res Ther
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Department of Oncology, The Second Affiliated Hospital of Nanchang University, Nanchang, PR China.
Background: Pulmonary sarcomatoid carcinoma (PSC) is a rare lung cancer characterized by early metastasis and invasion. It is predominantly diagnosed at a locally advanced or metastatic stage, hindering the possibility of surgical intervention. However, a standard treatment for advanced PSC remains unestablished.
View Article and Find Full Text PDFCancer Nurs
January 2025
Author Affiliations: Department of Nursing, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine (Dr Kim); and College of Nursing, Hanyang University (Dr Hwang), Seoul, Republic of Korea.
Background: Although the survival rate for thyroid cancer is high, a nursing intervention that enhances autonomous motivation is needed for patients with jobs to improve their long-term self-management abilities in the early postoperative period.
Objectives: This study aims to develop a mobile application (app) based on the Self-Determination Theory for patients returning to work after thyroid cancer surgery and to verify its effectiveness.
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Mol Divers
January 2025
Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases Ministry of Education, Jiangxi Province Key Laboratory of Biomaterials and Biofabrication for Tissue Engineering, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Identifying drug-target binding affinity (DTA) plays a critical role in early-stage drug discovery. Despite the availability of various existing methods, there are still two limitations. Firstly, sequence-based methods often extract features from fixed length protein sequences, requiring truncation or padding, which can result in information loss or the introduction of unwanted noise.
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