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Xuee Zhu,Jichen Wang,Dan Zhou,Chong Feng,Zhiwen Dong,Hanxiao Yu 대한영상의학회 2019 Korean Journal of Radiology Vol.20 No.4
Objective: The purpose of this study was to investigate whether three-dimensional (3D) magnetic resonance imaging could improve diagnostic accuracy for suspected posterior ligamentous complex (PLC) disruption. Materials and Methods: We used 20 freshly harvested goat spine samples with 60 segments and intact surrounding soft tissue. The animals were aged 1–1.5 years and consisted of 8 males and 12 females, which were sexually mature but had not reached adult weights. We created a paraspinal contusion model by percutaneously injecting 10 mL saline into each side of the interspinous ligament (ISL). All segments underwent T2-weighted sagittal and coronal short inversion time inversion recovery (STIR) scans as well as coronal and sagittal 3D proton density-weighted spectrally selective inversion recovery (3D-PDW-SPIR) scans acquired at 1.5T. Following scanning, some ISLs were cut and then the segments were rescanned using the same magnetic resonance (MR) techniques. Two radiologists independently assessed the MR images, and the reliability of ISL tear interpretation was assessed using the kappa coefficient. The chi-square test was used to compare the diagnostic accuracy of images obtained using the different MR techniques. Results: The interobserver reliability for detecting ISL disruption was high for all imaging techniques (0.776–0.949). The sensitivity, specificity, and diagnostic accuracy of the coronal 3D-PDW-SPIR technique for detecting ISL tears were 100, 96.9, and 97.9%, respectively, which were significantly higher than those of the sagittal STIR (p = 0.000), coronal STIR (p = 0.000), and sagittal 3D-PDW-SPIR (p = 0.001) techniques. Conclusion: Compared to other MR methods, coronal 3D-PDW-SPIR provides a more accurate diagnosis of ISL disruption. Adding coronal 3D-PDW-SPIR to a routine MR protocol may help to identify PLC disruptions in cases with nearby contusion.
Characterization and functional analysis of the PtEXLA1 gene from poplar
Liu Jiafu,Wang Yan,Yang Lihong,Wang Xue,Zhang Junkang,Xu Jichen 한국식물생명공학회 2024 Plant biotechnology reports Vol.18 No.1
Expansin plays a crucial role in plant growth and stress resistance as a cell wall relaxation protein. The expansin family consists of four subfamilies: EXPA, EXPB, EXLA, and EXLB. However, a few reports have been previously published investigating EXLA genes. The research here aimed to characterize the PtEXLA1 gene from a popular species (P. alba × P. glandulosa CV.84K) and evaluate its role through genetic transformation to understand its contribution to plant growth and stress resistance. The results showed that the PtEXLA1 gene was 780 bp in length, encoded 259 amino acids, and had typical characteristics of EXLA. The PtEXLA1 transgenic tobacco plants had a larger corolla in comparison to wild-type plants, and exhibited higher resistance to drought, high temperature, and salt stress based on the evaluation of chlorophyll content, relative conductivity, and malondialdehyde content. PtEXLA1 can be an efficient gene resource for stress resistance breeding of plants.
A community computational challenge to predict the activity of pairs of compounds
Bansal, Mukesh,Yang, Jichen,Karan, Charles,Menden, Michael P,Costello, James C,Tang, Hao,Xiao, Guanghua,Li, Yajuan,Allen, Jeffrey,Zhong, Rui,Chen, Beibei,Kim, Minsoo,Wang, Tao,Heiser, Laura M,Realubit Nature Publishing Group, a division of Macmillan P 2014 Nature biotechnology Vol.32 No.12
Recent therapeutic successes have renewed interest in drug combinations, but experimental screening approaches are costly and often identify only small numbers of synergistic combinations. The DREAM consortium launched an open challenge to foster the development of in silico methods to computationally rank 91 compound pairs, from the most synergistic to the most antagonistic, based on gene-expression profiles of human B cells treated with individual compounds at multiple time points and concentrations. Using scoring metrics based on experimental dose-response curves, we assessed 32 methods (31 community-generated approaches and SynGen), four of which performed significantly better than random guessing. We highlight similarities between the methods. Although the accuracy of predictions was not optimal, we find that computational prediction of compound-pair activity is possible, and that community challenges can be useful to advance the field of in silico compound-synergy prediction.
Ultrafast epitaxial growth of metre-sized single-crystal graphene on industrial Cu foil
Xu, Xiaozhi,Zhang, Zhihong,Dong, Jichen,Yi, Ding,Niu, Jingjing,Wu, Muhong,Lin, Li,Yin, Rongkang,Li, Mingqiang,Zhou, Jingyuan,Wang, Shaoxin,Sun, Junliang,Duan, Xiaojie,Gao, Peng,Jiang, Ying,Wu, Xiaoson Elsevier 2017 Science bulletin Vol.62 No.15