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- 저자 : ( Zhiming Ding ) (검색결과 3 건)
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Root hair‐specific expansins modulate root hair elongation in rice
ZhiMing, Yu,Bo, Kang,XiaoWei, He,ShaoLei, Lv,YouHuang, Bai,WoNa, Ding,Ming, Chen,Hyung‐,Taeg, Cho,Ping, Wu Blackwell Publishing Ltd 2011 The Plant journal Vol.66 No.5
<P><B>Summary</B></P><P>Root hair growth requires intensive cell‐wall modification. This study demonstrates that root hair‐specific expansin As, a sub‐clade of the cell wall‐loosening expansin proteins, are required for root hair elongation in rice (<I>Oryza sativa</I> L.). We identified a gene encoding <I>EXPA17</I> (<I>OsEXPA17</I>) from a rice mutant with short root hairs. Promoter::reporter transgenic lines exhibited exclusive <I>OsEXPA17</I> expression in root hair cells. The OsEXPA17 mutant protein (OsexpA17) contained a point mutation, causing a change in the amino acid sequence (Gly104→Arg). This amino acid alteration is predicted to disrupt a highly conserved disulfide bond in the mutant. Suppression of <I>OsEXPA17</I> by RNA interference further confirmed requirement for the gene in root hair elongation. Complementation of the <I>OsEXPA17</I> mutant with other root hair EXPAs (OsEXPA30 and Arabidopsis EXPA7) can restore root hair elongation, indicating functional conservation of these root hair EXPAs in monocots and dicots. These results demonstrate that members of the root hair EXPA sub‐clade play a crucial role in root hair cell elongation in Graminaceae.</P>
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( Xiaodong Ni ),( Shengxian Fan ),( Yongliang Zhang ),( Zhiming Wang ),( Lan Ding ),( Yousheng Li ),( Jieshou Li ) 대한소화기학회 2016 Gut and Liver Vol.10 No.6
Since its introduction as an alternative intestinal microbiota alteration approach, fecal microbiota transplantation (FMT) has been increasingly used as a treatment of choice for patients with ulcerative colitis (UC), but no reports exist regarding FMT via percutaneous endoscopic cecostomy (PEC). This report describes the case of a 24-year-old man with a 7-year history of recurrent, steroid-dependent UC. He received FMT via PEC once per day for 1 month in the hospital. After the remission of gastrointestinal symptoms, he was discharged from the hospital and continued FMT via PEC twice per week for 3 months at home. The frequency of stools decreased, and the characteristics of stools improved soon thereafter. Enteral nutrition was regained after 1 week, and an oral diet was begun 1 month later. Two months after the FMT end point, the patient resumed a normal diet, with formed soft stools once per day. The follow-up colonoscopy showed normal mucus membranes; then, the PEC set was removed. On the subsequent 12 months follow-up, the patient resumed orthobiosis without any gastrointestinal discomfort and returned to work. This case emphasizes that FMT via PEC can not only induce remission but also shorten the duration of hospitalization and reduce the medical costs; therefore, this approach should be considered an alternative option for patients with UC. (Gut Liver 2016;10:975-980)
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Semantic Trajectory Based Behavior Generation for Groups Identification
( Yang Cao ),( Zhi Cai ),( Fei Xue ),( Tong Li ),( Zhiming Ding ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.12
With the development of GPS and the popularity of mobile devices with positioning capability, collecting massive amounts of trajectory data is feasible and easy. The daily trajectories of moving objects convey a concise overview of their behaviors. Different social roles have different trajectory patterns. Therefore, we can identify users or groups based on similar trajectory patterns by mining implicit life patterns. However, most existing daily trajectories mining studies mainly focus on the spatial and temporal analysis of raw trajectory data but missing the essential semantic information or behaviors. In this paper, we propose a novel trajectory semantics calculation method to identify groups that have similar behaviors. In our model, we first propose a fast and efficient approach for stay regions extraction from daily trajectories, then generate semantic trajectories by enriching the stay regions with semantic labels. To measure the similarity between semantic trajectories, we design a semantic similarity measure model based on spatial and temporal similarity factor. Furthermore, a pruning strategy is proposed to lighten tedious calculations and comparisons. We have conducted extensive experiments on real trajectory dataset of Geolife project, and the experimental results show our proposed method is both effective and efficient.
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