Browse Articles

Retraction Note: Cardiac arrest triggers hippocampal neuronal death through autophagic and apoptotic pathways

Abundant soliton solutions in saturated ferromagnetic materials modeled via the fractional Kraenkel–Manna–Merle system

A nomogram for predicting cancer-specific survival in patients with rectal mucinous adenocarcinoma following surgery

Suzi Daotan Decoction alleviates asthmatic airway remodeling through the AMPK/SIRT1/PGC-1α signaling pathway and PI3K/AKT signaling pathway

Enhanced methane production from bloom algal biomass using hydrothermal and hydrothermal-alkaline pretreatment with anaerobic digestion

3D porous structure of ionic liquid-delaminated Ti3C2 MXene nanosheets for enhanced electrochemical sensing of tryptophan in real samples

Proposal of integrated clinical pathway in the management of perioperative recurrent laryngeal nerve injury post thyroid and parathyroid surgery

A study on the design of literacy toy for children with parent-child interactions

Equus mitochondrial pangenome reveals independent domestication imprints in donkeys and horses

Identification of AK4 and RHOC as potential oncogenes addicted by adult T cell leukemia

Adult T cell leukemia (ATL) is a highly aggressive T cell malignancy characterized by human T cell leukemia virus type 1 (HTLV-1) infection. ATL has a very poor prognosis and lacks satisfactory treatments; therefore, it is critical to identify potential targets in ATL cells in order to develop effective targeted therapeutics. Here, we report the identification of two oncogenes, AK4 and RHOC, as target genes of miR-455-3p, a tumor-suppressive microRNA in ATL patients. Importantly, AK4 and RHOC are highly expressed in ATL and exhibit oncogenic potentials in vitro and in vivo. Interestingly, transcriptome and metabolome analyses reveal a functional overlap of AK4 and RHOC, including activating oncogenic pathways such as Myc targets and deregulating lipid metabolism such as enhancing the production of sphingomyelin, a tumor-promoting lipid. In particular, compared to other types of T cell malignancy such as T cell acute lymphoblastic leukemia (T-ALL) and cutaneous T cell lymphoma (CTCL), ATL is sensitive to sphingomyelin inhibition and AK4 or RHOC depletion. Altogether, we report a distinct dependency of ATL on AK4 and RHOC oncogenes and an oncometabolite sphingomyelin, which together represent targetable vulnerabilities of ATL that could be exploited for developing effective therapeutics.

Phytochemical profiling, antioxidant potential, and UHPLC-HRMS analysis of Phlomis genus aerial parts for therapeutic applications

A size-dependent ideal solution model for liquid–solid phase equilibria prediction in aqueous organic solutions

Predictive synthesis of aqueous organic solutions with desired liquid–solid phase equilibria could drive progress in industrial chemistry, cryopreservation, and beyond, but is limited by the predictive power of current solution thermodynamics models. In particular, few analytical models enable accurate liquidus and eutectic prediction based only on bulk thermodynamic properties of the pure components, requiring instead either direct measurement or costly simulation of solution properties. In this work, we demonstrate that a simple modification to the canonical ideal solution theory accounting for the entropic effects of dissimilar molecule sizes can transform its predictive power. Incorporating a Flory-style entropy of mixing term that includes both the mole and volume fractions of each component, we derive size-dependent equations for the ideal chemical potential and liquidus temperature, and use them to predict the binary phase diagrams of water and 10 organic solutes of varying sizes. We show that size-dependent prediction outperforms the ideal model in all cases, reducing average error in the predicted liquidus temperature by 59% (to 5.6 K), eutectic temperature by 45% (to 9.7 K), and eutectic composition by 43% (to 4.7 mol%), as compared to experimental data. Furthermore, by retaining the ideal assumption that the enthalpy of mixing is zero, we demonstrate that, for aqueous organic solutions, much of the deviation from ideality that is typically attributed to molecular interactions may in fact be explained by simple entropic size effects. These results suggest an underappreciated dominance of mixing entropy in these solutions, and provide a simple approach to predicting their phase equilibria.

RETRACTED ARTICLE: Insight into molecular and mutational scrutiny of epilepsy associated gene Gabrg2 leading to novel computer-aided drug designing

Weak individual preferences stabilize culture

Outcomes in the cultural arena are due to many factors but are there general rules that can suggest what makes some cultural traits successful and others not? Research in cultural evolution theory distinguishes factors related to social influence (such as copying from the majority, or from certain individuals) from factors related to individual, nonsocially influenced, propensities such as evolved cognitive predispositions, or physical, biological, and environmental constraints. Here, we show, using analytical and individual-based models, that individual preferences, even when weak, determine the equilibrium point of cultural dynamics when acting together with nondirectional social influence in three out of four cases we study. The results have implications regarding the importance of keeping into account individual-level, nonsocial, factors, when studying cultural evolution, as well as regarding the interpretation of cross-cultural regularities, that must be expected, but can be product of weak directional forces, intensified by social influence.

Analysis of the characteristics of blasting seismic wave induced by explosive blasting with different coupling medium

Volumetric imaging of the 3D orientation of cellular structures with a polarized fluorescence light-sheet microscope

Polarized fluorescence microscopy is a valuable tool for measuring molecular orientations in biological samples, but techniques for recovering three-dimensional orientations and positions of fluorescent ensembles are limited. We report a polarized dual-view light-sheet system for determining the diffraction-limited three-dimensional distribution of the orientations and positions of ensembles of fluorescent dipoles that label biological structures. We share a set of visualization, histogram, and profiling tools for interpreting these positions and orientations. We model the distributions based on the polarization-dependent efficiency of excitation and detection of emitted fluorescence, using coarse-grained representations we call orientation distribution functions (ODFs). We apply ODFs to create physics-informed models of image formation with spatio-angular point-spread and transfer functions. We use theory and experiment to conclude that light-sheet tilting is a necessary part of our design for recovering all three-dimensional orientations. We use our system to extend known two-dimensional results to three dimensions in FM1-43-labeled giant unilamellar vesicles, fast-scarlet-labeled cellulose in xylem cells, and phalloidin-labeled actin in U2OS cells. Additionally, we observe phalloidin-labeled actin in mouse fibroblasts grown on grids of labeled nanowires and identify correlations between local actin alignment and global cell-scale orientation, indicating cellular coordination across length scales.

Publisher Correction: New local magnitude scales for Egypt

Experimental electronic structures of the Fe ^IV =O bond in S=1 heme vs. nonheme sites: Effect of the porphyrin ligand

High-valent Fe IV =O species are common intermediates in biological and artificial catalysts. Heme and nonheme S=1 Fe IV =O sites have been synthesized and studied for decades but little quantitative experimental comparison of their electronic structures has been available, due to the lack of direct methods focused on the iron. This study allows a rigorous determination of the electronic structure of a nonheme Fe IV =O center and its comparison to an Fe IV =O heme site using 1s2p resonant inelastic X-ray scattering (RIXS) and Fe L-edge X-ray absorption spectroscopy (XAS). Further, variable temperature magnetic circular dichroism (VT-MCD) of the ligand field transitions, combined with nuclear resonance vibrational spectroscopy of the two S=1 Fe IV =O systems show that the equatorial ligand field decreases from a nonheme to a heme Fe IV =O site. Alternatively, RIXS and Fe L-edge XAS combined with MCD show that the Fe d π orbitals are unperturbed in the Fe IV =O heme relative to the nonheme site because the strong axial Fe-O bond uncouples the Fe d π orbitals from the porphyrin π -system. As a consequence, the thermodynamics and kinetics of the H-atom abstraction reactions are actually very similar for heme compound II and nonheme Fe IV =O active sites.

Deep neural networks and fractional grey lag Goose optimization for music genre identification

A hormone-to-neuropeptide pathway inhibits sexual receptivity in immature <i>Drosophila</i> females

Newborns, typically asexual, undergo a process of sexual transition to reach sexual maturity, but the regulatory mechanism underlying this transition is not clear. Here, we studied how female sexual behavior is modulated during sexual transition by hormones and neuromodulators in Drosophila . We found that neuropeptide Leucokinin (LK) inhibits female receptivity specifically during a sexual transition period in immature females, but not in younger or mature females. Moreover, the steroid hormone ecdysone, which is mainly synthesized in the female ovary during sexual maturation, acts on LK neurons via the ecdysone receptor to suppress sexual receptivity. We further found that LK suppresses female receptivity through its receptor LKR in central pC1 neurons, a decision center for female sexual behavior. These findings reveal a hormone-to-neuropeptide pathway that specifically inhibits sexual behavior during sexual maturation in female Drosophila , shedding light on how hormones and neuromodulators coordinate sexual development and behaviors.