The human genome contains millions of candidate cis-regulatory elements (cCREs) with cell-type-specific activities that shape both health and many disease states. However, we lack a functional understanding of the sequence features that control the activity and cell-type-specific features of these cCREs. Here we used lentivirus-based massively parallel reporter assays (lentiMPRAs) to test the regulatory activity of more than 680,000 sequences, representing an extensive set of annotated cCREs among three cell types (HepG2, K562 and WTC11), and found that 41.
View Article and Find Full Text PDFEthnopharmacological Relevance: Argemone mexicana L. (Papaveraceae), a weed that thrives in the tropical and subtropical areas of South and Central America, Mexico, Caribbean Islands and India. In India, it has been used traditionally to treat vesicular calculus, inflammatory conditions, and hepatobiliary disorders.
View Article and Find Full Text PDFAim The study aimed to detect subtle left ventricular (LV) systolic dysfunction, reflected by abnormal global longitudinal strain (GLS), in patients with stable coronary artery disease (CAD) undergoing percutaneous coronary intervention (PCI) and to evaluate any improvement in GLS at 24 hours and six months post-PCI. Methods A total of 94 patients with stable CAD scheduled for elective PCI at our hospital were evaluated using conventional 2D echocardiography and GLS prior to the procedure. Follow-up assessments were conducted at 24 hours and six months post-PCI.
View Article and Find Full Text PDFChlorophyll-a (Chla) is recognized as a key indicator of water quality and ecological health in aquatic ecosystems, offering valuable insights into ecosystem dynamics and changes over time. This study aimed to to develop and validate a robust ML model for estimating Chla using Landsat data, produce a time series of Chl a maps, and analyze the spatiotemporal variability of Chla in Chilika Lagoon, Asia's largest brackish water lagoon. Nine ML regression models, including Extreme Gradient Boost, Support Vector Regression, Random Forest, and Bagging Regression, were evaluated using Landsat imagery and field data.
View Article and Find Full Text PDFNano-sized high-entropy materials (HEMs) recently received more attention to researchers due to their superior electrochemical catalytic properties. HEMs comprise at least five elements with or without metals and are synthesized through solid-state reactions and solution-mediated techniques. The presence of many elements in these HEMs result in a high mixing entropy and facilitates the formation of stable solid solutions in fundamental crystal structures.
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