The size of plant organs, such as leaves and flowers, is determined by an interaction of genotype and environmental influences. Organ growth occurs through the two successive processes of cell proliferation followed by cell expansion. A number of genes influencing either or both of these processes and thus contributing to the control of final organ size have been identified in the last decade. Although the overall picture of the genetic regulation of organ size remains fragmentary, two transcription factor/microRNA-based genetic pathways are emerging in the control of cell proliferation. However, despite this progress, fundamental questions remain unanswered, such as the problem of how the size of a growing organ could be monitored to determine the appropriate time for terminating growth. While genetic analysis will undoubtedly continue to advance our knowledge about size control in plants, a deeper understanding of this and other basic questions will require including advanced live-imaging and mathematical modeling, as impressively demonstrated by some recent examples. This should ultimately allow the comparison of the mechanisms underlying size control in plants and in animals to extract common principles and lineage-specific solutions.
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http://dx.doi.org/10.1016/j.cub.2012.02.010 | DOI Listing |
Transplant Direct
April 2025
Division of Surgical Transplantation, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX.
Background: With the intent to mitigate waitlist disparities, the median model for end-stage liver disease (MELD) at transplant minus 3 policy nevertheless decreased access to liver transplant for patients with hepatocellular carcinoma (HCC). However, the adoption of machine perfusion (MP) technologies has shown promise in improving deceased donor graft yield and utilization. To understand current use for patients with HCC, we examined liver transplant patterns with MP and the characteristics of patients with HCC receiving an MP liver.
View Article and Find Full Text PDFNutrients
February 2025
Department of Biological Sciences, Faculty of Science, Beirut Arab University, P.O. Box 115020, Riad El Solh, Beirut 11072809, Lebanon.
, , , and are frequently consumed as a traditional Middle Eastern medicine to promote health and treat various diseases. However, concerns have been raised about their possible harmful effect in humans. Limited research has examined their chronic toxicity in rats, and their combined exposure effects are still unknown.
View Article and Find Full Text PDFNutrients
February 2025
College of Food Science and Engineering, Ocean University of China, Qingdao 266400, China.
Background: Skeletal muscle, as the largest organ in the body and the main protein pool, is crucial for various physiological processes, but atrophy of skeletal muscle can result from glucocorticoids, including dexamethasone, or from aging. Astaxanthin (AST) is a ketocarotenoid with a variety of physiological activities. However, the clinical application of AST is hampered by its strong hydrophobicity, intense off-flavors, and susceptibility to oxidation.
View Article and Find Full Text PDFCancers (Basel)
February 2025
Department of Advanced Biomedical Sciences, Unit of Emergency Surgery, Federico II University, 80131 Naples, Italy.
Background/objectives: Giant Retroperitoneal Liposarcomas (giant RPLs) represent a rare malignant disease of adulthood that does not yet have a univocal definition in the scientific literature. The symptoms may be late, depending on the position and the size reached. The weight may exceed 20 kg, and the diameter 25 cm.
View Article and Find Full Text PDFBMC Ophthalmol
March 2025
Vision for Life Institute, Brisbane, QLD, Australia.
Background: This study evaluated the agreement of the ocular parameters obtained with the two optical biometers, the IOLMaster 700 and the Galilei G6 Lens Professional.
Patients And Methods: A comparative prospective study was conducted on 159 eyes of 91 adult patients using the IOLMaster 700 and Galilei G6 devices by a single examiner. Agreement between ocular biometric parameters: white-to-white (WTW) distance, keratometry (flat (K1) and steep (K2), mean (Km)) of anterior, posterior, and total corneal surfaces, central corneal thickness (CCT), anterior chamber depth (ACD), and axial length (AL) were assessed using Bland-Altman analysis.
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