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您的检索式：作者名="Jieyi Cheng"
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| 1 | Mettl5 mediated 18S rRNA N6-methyladenosine(m^(6)A)modification controls stem cell fate determination and neural function显示文摘Ribosome RNA(rRNA)accounts for more than 80%of the cell's total RNA,while the physiological functions of rRNA modifications are poorly understood.Mutations of 18S rRNA m6A methyltransferase METTL5 cause intellectual disability,microcephaly,and facial dysmorphisms in patients,however,little is known about the underlying mechanisms.In this study,we identified METTL5 protein complex and revealed that METTL5 mainly interacts with RNA binding proteins and ribosome proteins.Functionally,we found that Mettl5 knockout in mESCs leads to the abnormal craniofacial and nervous development.Moreover,using Mettl5 knockout mouse model,we further demonstrated that Mettl5 knockout mice exhibit intellectual disability,recapitulating the human phenotype.Mechanistically,we found that Mettl5 maintains brain function and intelligence by regulating the myelination process.Our study uncovered the causal correlation between mis-regulated 18S rRNA m6A modification and neural function defects,supporting the important physiological functions of rRNA modifications in human diseases. | Lu Wang Yu Liang Rongzhi Lin Qiuchan Xiong Peng Yu Jieyi Ma Maosheng Cheng Hui Han Xiaochen Wang Ganping Wang Fengyin Liang Zhong Pei Demeng Chen Quan Yuan Yi-Zhou Jiang Shuibin Lin | 2022 | Genes & Diseases2022，9，1： | 0 |
| 2 | A Phrase Topic Model Based on Distributed Representation显示文摘Traditional topic models have been widely used for analyzing semantic topics from electronic documents.However,the obvious defects of topic words acquired by them are poor in readability and consistency.Only the domain experts are possible to guess their meaning.In fact,phrases are the main unit for people to express semantics.This paper presents a Distributed Representation-Phrase Latent Dirichlet Allocation(DR-Phrase LDA)which is a phrase topic model.Specifically,we reasonably enhance the semantic information of phrases via distributed representation in this model.The experimental results show the topics quality acquired by our model is more readable and consistent than other similar topic models. | Jialin Ma Jieyi Cheng Lin Zhang Lei Zhou Bolun Chen | 2020 | Computers, Materials & Continua2020，，7： | 0 |
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