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Zheng, Xuexiu,Cho, Sunghee,Moon, Heegyum,Loh, Tiing Jen,Oh, Huyn Kyung,Green, Michael R.,Shen, Haihong Cold Spring Harbor Laboratory Press 2014 RNA Vol.20 No.4
<P>This study provides new insight into how the immunoglobulin splicing inhibitor sequence blocks splicing. Evidence indicates the polypyrimidine tract binding protein bound to the splicing inhibitor element prevents U2 snRNA from base-pairing to the branch point.</P>
Shen, Haihong,Zheng, Xuexiu,Luecke, Stephan,Green, Michael R Cold Spring Harbor Laboratory in association with 2010 Genes & development Vol.24 No.21
<P>The U2AF35-related protein Urp has been implicated previously in splicing of the major class of U2-type introns. Here we show that Urp is also required for splicing of the minor class of U12-type introns. Urp is recruited in an ATP-dependent fashion to the U12-type intron 3' splice site, where it promotes formation of spliceosomal complexes. Remarkably, Urp also contacts the 3' splice site of a U2-type intron, but in this case is specifically required for the second step of splicing. Thus, through recognition of a common splicing element, Urp facilitates distinct steps of U2- and U12-type intron splicing.</P>
Predicting Urban Tourism Flow with Tourism Digital Footprints Based on Deep Learning
Fangfang Gu,Keshen Jiang,Yu Ding,Xuexiu Fan 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.4
Tourism flow is not only the manifestation of tourists’ special displacement change, but also an important driving mode of regional connection. It has been considered as one of significantly topics in many applications. The existing research on tourism flow prediction based on tourist number or statistical model is not in-depth enough or ignores the nonlinearity and complexity of tourism flow. In this paper, taking Nanjing as an example, we propose a prediction method of urban tourism flow based on deep learning methods using travel diaries of domestic tourists. Our proposed method can extract the spatio-temporal dependence relationship of tourism flow and further forecast the tourism flow to attractions for every day of the year or for every time period of the day. Experimental results show that our proposed method is slightly better than other benchmark models in terms of prediction accuracy, especially in predicting seasonal trends. The proposed method has practical significance in preventing tourists unnecessary crowding and saving a lot of queuing time.
CRISPR as a strong gene editing tool
( Shengfu Shen ),( Tiing Jen Loh ),( Hongling Shen ),( Xuexiu Zheng ),( Haihong Shen ) 생화학분자생물학회(구 한국생화학분자생물학회) 2017 BMB Reports Vol.50 No.1
Clustered regularly-interspaced short palindromic repeats (CRISPR) is a new and effective genetic editing tool. CRISPR was initially found in bacteria to protect it from virus invasions. In the first step, specific DNA strands of virus are identified by guide RNA that is composed of crRNA and tracrRNA. Then RNAse III is required for producing crRNA from pre-crRNA. In The second step, a crRNA:tracrRNA:Cas9 complex guides RNase III to cleave target DNA. After cleavage of DNA by CRISPR-Cas9, DNA can be fixed by Non- Homologous End Joining (NHEJ) and Homology Directed Repair (HDR). Whereas NHEJ is simple and random, HDR is much more complex and accurate. Gene editing by CRISPR is able to be applied to various biological field such as agriculture and treating genetic diseases in human. [BMB Reports 2017; 50(1): 20-24]