Neuromorphic or "brain-like" computation is a leading candidate for efficient, fault-tolerant processing of large-scale data as well as real-time sensing and transduction of complex multivariate systems and networks such as self-driving vehicles or Internet of Things applications. In biology, the synapse serves as an active memory unit in the neural system and is the component responsible for learning and memory. Electronically emulating this element via a compact, scalable technology which can be integrated in a three-dimensional (3-D) architecture is critical for future implementations of neuromorphic processors. However, present day 3-D transistor implementations of synapses are typically based on low-mobility semiconductor channels or technologies that are not scalable. Here, we demonstrate a crystalline indium phosphide (InP)-based artificial synapse for spiking neural networks that exhibits elasticity, short-term plasticity, long-term plasticity, metaplasticity, and spike timing-dependent plasticity, emulating the critical behaviors exhibited by biological synapses. Critically, we show that this crystalline InP device can be directly integrated via back-end processing on a Si wafer using a SiO buffer without the need for a crystalline seed, enabling neuromorphic devices that can be implemented in a scalable and 3-D architecture. Specifically, the device is a crystalline InP channel field-effect transistor that interacts with neuron spikes by modification of the population of filled traps in the MOS structure itself. Unlike other transistor-based implementations, we show that it is possible to mimic these biological functions without the use of external factors (e.g., surface adsorption of gas molecules) and without the need for the high electric fields necessary for traditional flash-based implementations. Finally, when exposed to neuronal spikes with a waveform similar to that observed in the brain, these devices exhibit the ability to learn without the need for any external potentiating/depressing circuits, mimicking the biological process of Hebbian learning.

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Telomeric repeat binding factor 1 (TRF1) is a component of the multiprotein complex “shelterin,” which organizes the telomere into a high-order structure. TRF1 knockout embryos suffer from severe growth defects without apparent telomere dysfunction, suggesting an obligatory role for TRF1 in cell cycle control. To date, the mechanism regulating the mitotic increase in TRF1 protein expression and its function in mitosis remains unclear. Here, we identify guanine nucleotide-binding protein-like 3 (GNL3L), a GTP-binding protein most similar to nucleostemin, as a novel TRF1-interacting protein in vivo. GNL3L binds TRF1 in the nucleoplasm and is capable of promoting the homodimerization and telomeric association of TRF1, preventing promyelocytic leukemia body recruitment of telomere-bound TRF1, and stabilizing TRF1 protein by inhibiting its ubiquitylation and binding to FBX4, an E3 ubiquitin ligase for TRF1. Most importantly, the TRF1 protein-stabilizing activity of GNL3L mediates the mitotic increase of TRF1 protein and promotes the metaphase-to-anaphase transition. This work reveals novel aspects of TRF1 modulation by GNL3L.

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Objective: Oxidized LDL cholesterol (ox-LDL-C) is considered to be a key factor of initiating and accelerating atherosclerosis (AS). The purpose of this study is to elucidate the sensitivity and specificity of ox-LDL and oxidation ratio of LDL in the diagnosis of coronary artery disease (CAD). For the first time, we investigated the ratio of ox-LDL to ALB(ox-LDL/ALB). Methods and results: Blood ox-LDL, total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), triglyceride (TG) and albumin (ALB) were measured in patients with acute myocardial infarction (AMI, n = 80), unstable angina pectoris (UAP, n = 80), stable angina pectoris (SAP, n = 80), normal control (n = 60), and dyslipidemia control (n = 60). Ox-LDL was measured by competitive ELISA. The level of ox-LDL and oxidation ratio of LDL(ox-LDL/TC, ox-LDL/HDL-C, ox-LDL/ LDL-C and ox-LDL/ALB) were significantly higher in each diseased group than controls (P < 0.001). In CAD group, ox-LDL and oxidation ratio of LDL in subjects complicated with hypertension (HT) and/or diabetes mellitus (DM) increased further (P < 0.001). Ox-LDL/ALB in the AMI group was 7 times higher than normal control group (0.068 ± 0.017 vs 0.009 ± 0.007, P < 0.001). The area under the curve (AUC) of receiver operating characteristic curve (ROC curve) is a criterium to evaluate the accuracy of diagnosing a disease. The AUC of ROC curve of ox-LDL/TC, ox-LDL/HDL-C, ox-LDL, ox-LDL/ALB and ox-LDL/ LDL-C for diagnosing CAD were 0.975, 0.975, 0.966, 0.966, 0.957 respectively (P < 0.001). When ox-LDL/TC = 0.175, the sensitivity and specificity of diagnosing CAD were 0.917 and 0.925, which were almost equal to each other, indicating that the rates of missed diagnosis and misdiagnosis for CAD were the lowest. Conclusions: The level of ox-LDL and the ratio of ox-LDL/TC, ox-LDL/LDL-C, ox-LDL/HDL-C and ox-LDL/ALB are better biomarkers than TC, TG, HDL-C and LDL-C for discriminating between patients with coronary artery disease and healthy subjects. And patients who have a high ratio of ox-LDL /TC may have a higher risk for CAD.