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RETRACTED ARTICLE: Reducing PKCδ inhibits tumor growth through growth hormone by inhibiting PKA/CREB/ERK signaling pathway in pituitary adenoma
Photon-efficient camera with in-sensor computing
Study on accumulation deformation characteristics of silty clay based on dynamic triaxial tests
Giant energy density nitride dielectrics enabled by a paraelectric-metaparaelectric phase transition
Pain control following impacted mandibular third molar surgery: a comparison of the effectiveness of two different protocols
Ultrahigh-power-density flexible piezoelectric energy harvester based on freestanding ferroelectric oxide thin films
Robust estimation of the three parameter Weibull distribution for addressing outliers in reliability analysis
Integrated proteogenomic characterization of localized prostate cancer identifies biological insights and subtype-specific therapeutic strategies
Abstract Localized prostate cancer (PCa) is highly variable in their response to therapies. Although a fraction of this heterogeneity can be explained by clinical factors or genomic and transcriptomic profiling, the proteomic-based profiling of aggressive PCa remains poorly understood. Here, we profiled the genome, transcriptome, proteome and phosphoproteome of 145 cases of localized PCa in Chinese patients. Proteome-based stratification of localized PCa revealed three subtypes with distinct molecular features: immune subgroup, arachidonic acid metabolic subgroup and sialic acid metabolic subgroup with highest biochemical recurrence (BCR) rates. Further, we nominated NANS protein, a key enzyme in sialic acid synthesis as a potential prognostic biomarker for aggressive PCa and validated in two independent cohorts. Finally, taking advantage of cell-derived orthotopic transplanted mouse models, single-cell RNA sequencing (scRNA-seq) and immunofluorescence analysis, we revealed that targeting NANS can reverse the immunosuppressive microenvironment through restricting the sialoglycan-sialic acid-recognizing immunoglobulin superfamily lectin (Siglec) axis, thereby inhibiting tumor growth of PCa. In sum, we integrate multi-omic data to refine molecular subtyping of localized PCa, and identify NANS as a potential prognostic biomarker and therapeutic option for aggressive PCa.
Optical and electrochemical performance of electrospun NiO–Mn3O4 nanocomposites for energy storage applications
Nitrous oxide activates layer 5 prefrontal neurons via SK2 channel inhibition for antidepressant effect
Abstract Nitrous oxide (N2O) induces rapid and durable antidepressant effects. The cellular and circuit mechanisms mediating this process are not known. Here we find that a single dose of inhaled N2O induces rapid and specific activation of layer V (L5) pyramidal neurons in the cingulate cortex of rodents exposed to chronic stress conditions. N2O-induced L5 activation rescues a stress-associated hypoactivity state, persists following exposure, and is necessary for its antidepressant-like activity. Although NMDA-receptor antagonism is believed to be a primary mechanism of action for N2O, L5 neurons activate even when NMDA-receptor function is attenuated through both pharmacological and genetic approaches. By examining different molecular and circuit targets, we identify N2O-induced inhibition of calcium-sensitive potassium (SK2) channels as a key molecular interaction responsible for driving specific L5 activity along with ensuing antidepressant-like effects. These results suggest that N2O-induced L5 activation is crucial for its fast antidepressant action and this effect involves novel and specific molecular actions in distinct cortical cell types.
Explainable machine learning model based on EEG, ECG, and clinical features for predicting neurological outcomes in cardiac arrest patient
Robust super-structured porous hydrogel enables bioadaptive repair of dynamic soft tissue
Counterclockwise block-by-block knowledge distillation for neural network compression
Abstract Model compression is a technique for transforming large neural network models into smaller ones. Knowledge distillation (KD) is a crucial model compression technique that involves transferring knowledge from a large teacher model to a lightweight student model. Existing knowledge distillation methods typically facilitate the knowledge transfer from teacher to student models in one or two stages. This paper introduces a novel approach called counterclockwise block-wise knowledge distillation (CBKD) to optimize the knowledge distillation process. The core idea of CBKD aims to mitigate the generation gap between teacher and student models, facilitating the transmission of intermediate-layer knowledge from the teacher model. It divides both teacher and student models into multiple sub-network blocks, and in each stage of knowledge distillation, only the knowledge from one teacher sub-block is transferred to the corresponding position of a student sub-block. Additionally, in the CBKD process, deeper teacher sub-network blocks are assigned higher compression rates. Extensive experiments on tiny-imagenet-200 and CIFAR-10 demonstrate that the proposed CBKD method can enhance the distillation performance of various mainstream knowledge distillation approaches.
Paralysed man stands again after receiving ‘reprogrammed’ stem cells
Muscle fiber Myc is dispensable for muscle growth and its forced expression severely perturbs homeostasis
Abstract The oncogenic transcription factor Myc stimulates many growth processes including cell cycle progression and ribosome biogenesis. Myc expression is low in adult skeletal muscle, but is upregulated upon growth stimuli. Furthermore, muscle fiber Myc overexpression recapitulates many aspects of growth-related gene expression, leading to the hypothesis that Myc mediates pro-growth responses to anabolic stimuli, such as exercise. Here, we test this hypothesis by examining mouse models in which Myc is specifically eliminated or overexpressed in skeletal muscle fibers or muscle stem cells (MuSC). While muscle fiber Myc expression increased during muscle growth and Myc expression in MuSCs was required for successful muscle regeneration, muscle fiber Myc expression was dispensable for post-natal, mechanical overload or PKBα/Akt1-induced muscle growth in mice. Similarly, constitutive Myc expression did not promote skeletal muscle hypertrophy, but instead impaired muscle fiber structure and function within days. These data question the role of Myc in skeletal muscle growth.