Results 211 to 220 of about 5,392,800 (262)
Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas +6 more
wiley +1 more source
Malformin A1–mediated cytotoxicity in ovarian cancer cells occurs through pyroptosis and autophagy
This study investigated the effects of the natural compound Malformin A1 (MA1) on the cytoskeleton that regulates cell proliferation and migration. Disruption of the cytoskeleton can impair these processes and promote cancer cell death. MA1 disrupted cytoskeletal organization, induced DNA damage, inflammation, activated autophagy, and pyroptosis ...
Nada Abdullah Hassan +11 more
wiley +1 more source
Lactoferrin promotes wound healing by activating MAPK, PI3K/Akt, and extracellular matrix pathways, enhancing fibroblast remodeling, proliferation, and re‐epithelialization. These mechanisms highlight its therapeutic potential in inflammation control, tissue repair, and remodeling.
Morgana Lüdtke Azevedo +4 more
wiley +1 more source
ATZ‐1 promotes DNA replication efficiency to maintain normal meiotic function
Absence of ATZ‐1 interferes with meiotic DNA replication and cell cycle function via CHK‐1. This causes downstream defects associated with DNA damage and genomic integrity. Taken together, this study suggests that ATZ‐1 influences DNA replication efficiency and cell cycle function to maintain normal meiotic function.
Taylin E. Gourley +5 more
wiley +1 more source
KDAC6 has been associated with cell motility and actin structures, but specific domain contributions are not established. The two catalytic domains have differential effects on motility and F‐actin regulation, affecting cortical F‐actin density, motility, stress fibers, and cell spreading.
Taylor V. Joseph +7 more
wiley +1 more source
Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley +1 more source
Delivery of DNA‐encoded vaccines and proteins in mice using cutaneous suction‐mediated transfection
Cutaneous suction‐mediated transfection in mice for delivery of DNA‐encoded vaccines and proteins. A critical limitation of DNA vaccines and other therapeutics is transfection in vivo to produce the encoded antigens or therapeutic proteins. Cutaneous suction‐based methods have demonstrated effectiveness in many animal models and have been successfully ...
Emran O. Lallow +12 more
wiley +1 more source
Evolution‐guided yeast complementation reveals functional differences in human PSPH variants
Ancient genomes can help guide which human genetic variants are tested experimentally. This study applies that idea to PSPH, a gene involved in serine biosynthesis, and uses high‐throughput yeast complementation to compare variant function. The findings reveal measurable differences among selected alleles and illustrate the value of evolution‐guided ...
Mauricio Campa‐Álvarez +6 more
wiley +1 more source
Some of the next articles are maybe not open access.
Modeling Dynamics in Crowdfunding
Marketing Science, 2020This paper investigates the underlying mechanisms of crowdfunding behavior (forward-looking delaying investment behavior and social interactions), which lead to the crowdfunding dynamics.
Chul Kim +3 more
openaire +1 more source
Proceedings of the 23rd international conference on Machine learning - ICML '06, 2006
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the natural parameters of the multinomial distributions that represent the topics.
David M. Blei, John D. Lafferty
openaire +2 more sources
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the natural parameters of the multinomial distributions that represent the topics.
David M. Blei, John D. Lafferty
openaire +2 more sources

