10 research outputs found
Proteomic profiling of eIF3a conditional knockout mice
Eukaryotic translation initiation factor 3 subunit A (eIF3a) is the largest subunit of the eukaryotic translation initiation factor 3 (eIF3). eIF3a plays an integral role in protein biosynthesis, hence impacting the onset, development, and treatment of tumors. The proteins regulated by eIF3a are still being explored in vivo. In this study, a Cre-loxP system was used to generate eIF3a conditional knockout mice. Tandem mass tag (TMT) labeling with LC-MS/MS analysis was used to identify differentially expressed proteins (DEPs) in fat, lungs, skin, and spleen tissue of the eIF3a knockout mice and controls. Bioinformatics analysis was then used to explore the functions and molecular signaling pathways of these protein landscapes. It was observed that eIF3a is essential for life sustenance. Abnormal tissue pathology was found in the lungs, fat, skin, spleen, and thymus. In total, 588, 210, 324, and 944 DEPs were quantified in the lungs, fat, skin, and spleen, respectively, of the eIF3a knockout mice as compared to the control. The quantified differentially expressed proteins were tissue-specific, except for eight proteins shared by the four tissues. A broad range of functions for eIF3a, including cellular signaling pathway, immune response, metabolism, defense response, phagocytes, and DNA replication, has been revealed using bioinformatics analysis. Herein, several pathways related to oxidative stress in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, including nitrogen metabolism, peroxisome, cytochrome P450 drug metabolism, pyruvate metabolism, PPAR signaling pathway, phospholipase D signaling pathway, B-cell receptor signaling pathway, ferroptosis, and focal adhesion, have been identified. Collectively, this study shows that eIF3a is an essential gene for sustaining life, and its downstream proteins are involved in diverse novel functions beyond mRNA translational regulation
The Effects of the Creator’s Situation on Creativity Evaluation: The Rater’s Cognitive Empathy and Affective Empathy Matter in Rating Creative Works
Successful intelligence theory suggests that creativity is necessary for personal achievement outside of intelligence. Unlike intelligence, creativity can develop in a supportive environment. People should consider the situation of disadvantaged groups, which are characterized by low personal achievement and a bad growth environment in creativity evaluation from a caring perspective. This study focuses on the effect of the creator’s situation on creative evaluation and the role of the rater’s empathy (i.e., cognitive empathy and affective empathy) and sympathy in creative evaluation. Four pairs of creator’s situations (by age, physical state, family situation, and economic state) were designed to represent people with disadvantages or advantages. A between-subject design was used with 590 undergraduate students randomly assigned to eight sub-conditions. The participants were asked to assess three products in eight situations. The rater’s empathy and sympathy in creativity evaluation were explored in the overall disadvantage (N = 300) and advantage (N = 290) conditions. The results showed that the participants only provided significantly higher ratings to the creative product made by a child. Cognitive empathy only predicted a creative rating under disadvantaged conditions, and affective empathy negatively moderated this effect. Affective empathy only predicted a creative rating under advantage conditions, and cognitive empathy positively moderated this effect. Affective empathy only predicted a creative rating under advantage conditions, and cognitive empathy positively moderated this effect. The possible mechanisms of the effect and implications for the establishment of a supportive environment for creativity and creativity teaching practice were discussed
RNAex: an RNA secondary structure prediction server enhanced by high-throughput structure-probing data
Trans-Sclera Electrical Stimulation Improves Retinal Function in a Mouse Model of Retinitis Pigmentosa
Retinitis pigmentosa (RP) is a photoreceptor-degenerating disease with no effective treatment. Trans-corneal electrical stimulation has neuroprotective effects in degenerating retinas, but repeated applications cause corneal injury. To avoid the risk of corneal damage, here we tested whether repetitive trans-sclera electrical stimulation (TsES) protects degenerating retinas in rd10 mice, a model of RP. At postnatal day 20 (P20), the right eyes of rd10 mice were exposed to 30 min of TsES daily or every other day till P25, at the amplitude of 50 or 100 μA, with zero current as the sham. Immunostaining, multi-electrode-array (MEA) recording, and a black-and-white transition box were applied to examine the morphological and functional changes of the treated retina. Functionally, TsES modified the retinal light responses. It also reduced the high spontaneous firing of retinal ganglion cells. TsES at 100 μA but not 50 μA increased the light sensitivities of ganglion cells as well as their signal-to-noise ratios. TsES at 100 μA increased the survival of photoreceptors without improving the visual behavior of rd10 mice. Our data suggest that repetitive TsES improves the retinal function of rd10 mice at the early degenerating stage, therefore, it might be an effective long-term strategy to delay retinal degeneration in RP patients
LICOM3-CUDA: a GPU version of LASG/IAP Climate System Ocean Model version 3 based on CUDA
The ocean general circulation model (OGCM) is an essential tool for researching oceanography and atmospheric science. The LASG/IAP climate system ocean model version 3 (LICOM3) is a parallel version of the OGCM. Our goal is to implement and optimize a GPU version of LICOM3 based on compute unified device architecture (CUDA) called LICOM3-CUDA. Considering the characteristics of LICOM3 and CUDA, we design and implement some pivotal optimization methods, including redesigning the numerical algorithms of complicated functions, decoupling data dependency, avoiding memory write conflicts, and optimizing communication. In this paper, we selected two experiments, including 1° (small-scale) and 0.1° (large-scale) resolutions to evaluate the performance of LICOM3-CUDA. Under the experimental environment of two Intel Xeon Gold 6148 CPUs and four NVIDIA Quadro GV100s, the LICOM3-CUDA (1°) achieves a simulation speed of 114.3 simulation-year-per-day (SYPD). Compared with the performance of LICOM3, the LICOM3-CUDA can run much faster with 6.5 times, and the compute-intensive module achieves over 70x speedup. In addition, the energy consumption for the simulation year is reduced by 41.3%. As for high-resolution and large-scale simulation, the number of GPUs increased from 96 to 1,536 as well as the LICOM3-CUDA (0.1°) time consumption decreased from 3,261 seconds to 720 seconds with approximately 4.5x of speedup