Genome-wide physical protein±protein interaction(PPI)mapping remains a major challenge for current technologies.Here,we reported a high-efficiency BiFC-seq method,yeastenhanced green fluorescent protein-based bim...Genome-wide physical protein±protein interaction(PPI)mapping remains a major challenge for current technologies.Here,we reported a high-efficiency BiFC-seq method,yeastenhanced green fluorescent protein-based bimolecular fluorescence complementation(y EGFPBiFC)coupled with next-generation DNA sequencing,for interactome mapping.We first applied y EGFP-BiFC method to systematically investigate an intraviral network of the Ebola virus.Two-thirds(9/14)of known interactions of EBOV were recaptured,and five novel interactions were discovered.Next,we used the BiFC-seq method to map the interactome of the tumor protein p53.We identified 97 interactors of p53,more than three-quarters of which were novel.Furthermore,in a more complex background,we screened potential interactors by pooling two BiFC libraries together and revealed a network of 229 interactions among 205 proteins.These results show that BiFC-seq is a highly sensitive,rapid,and economical method for genome-wide interactome mapping.展开更多
Background:Now the coronavirus disease 2019(COVID-19)epidemic becomes a global phenomenon and its development concerns billions of peoples1 lives.The development of the COVID-19 epidemic in China could be used as a re...Background:Now the coronavirus disease 2019(COVID-19)epidemic becomes a global phenomenon and its development concerns billions of peoples1 lives.The development of the COVID-19 epidemic in China could be used as a reference for the other countries,control strategy.Methods:We used a classical susceptible-infected-recovered(SIR)model to forecast the development of the COVID-19 epidemic in China by nowcasring.The linear regression analyses were employed to predict the COVID-19 epidemic’s inflexion point.Finally,we used a susceptible-exposed-infected-recovered(SEIR)model to simulate the development of the COVID-19 epidemic in China throughout 2020.Results:Our nowcasts show that the COVID-19 transmission rate started to slow down on January 30.The linear regression analyses further show that the inflexion point of this epidemic would arrive between February 17 and 18.The final SEIR model simulation forecasted that the COVID-19 epidemic would probably infect about 82,000 people and last throughout 2020 in China.We also applied our method to USA's and global COVID-19 data and the nowcasts show that the development of COVID-19 pandemic is not optimistic in the rest of 2020.Conclusion:The COVID-19 epidemic's scale in China is much smaller than the previous estimations.After implemented strict control and prevention measures,such as city lockdown,it took a week to slow down the COVID-19 transmission and about four weeks to really mitigate the COVID-19 prevalence in China.展开更多
For an acyelic quiver Q and a finite-dimensional algebra A, we give a unified form of the indecomposable injective objects in the monomorphism category Mon（Q, A） and prove that Mon（Q, A） has enough injective objects.
基金supported by grants from the National Key R&D Program of China(Grant No.2017YFA0505700)the National Key Lab of Proteomics of China(Grant Nos.SKLP-K201805,SKLP-K201804,and SKLP-Y201703)。
文摘Genome-wide physical protein±protein interaction(PPI)mapping remains a major challenge for current technologies.Here,we reported a high-efficiency BiFC-seq method,yeastenhanced green fluorescent protein-based bimolecular fluorescence complementation(y EGFPBiFC)coupled with next-generation DNA sequencing,for interactome mapping.We first applied y EGFP-BiFC method to systematically investigate an intraviral network of the Ebola virus.Two-thirds(9/14)of known interactions of EBOV were recaptured,and five novel interactions were discovered.Next,we used the BiFC-seq method to map the interactome of the tumor protein p53.We identified 97 interactors of p53,more than three-quarters of which were novel.Furthermore,in a more complex background,we screened potential interactors by pooling two BiFC libraries together and revealed a network of 229 interactions among 205 proteins.These results show that BiFC-seq is a highly sensitive,rapid,and economical method for genome-wide interactome mapping.
基金This study is supported by the National Natural Science Foundation of China(Nos.81500503 and 81870456).
文摘Background:Now the coronavirus disease 2019(COVID-19)epidemic becomes a global phenomenon and its development concerns billions of peoples1 lives.The development of the COVID-19 epidemic in China could be used as a reference for the other countries,control strategy.Methods:We used a classical susceptible-infected-recovered(SIR)model to forecast the development of the COVID-19 epidemic in China by nowcasring.The linear regression analyses were employed to predict the COVID-19 epidemic’s inflexion point.Finally,we used a susceptible-exposed-infected-recovered(SEIR)model to simulate the development of the COVID-19 epidemic in China throughout 2020.Results:Our nowcasts show that the COVID-19 transmission rate started to slow down on January 30.The linear regression analyses further show that the inflexion point of this epidemic would arrive between February 17 and 18.The final SEIR model simulation forecasted that the COVID-19 epidemic would probably infect about 82,000 people and last throughout 2020 in China.We also applied our method to USA's and global COVID-19 data and the nowcasts show that the development of COVID-19 pandemic is not optimistic in the rest of 2020.Conclusion:The COVID-19 epidemic's scale in China is much smaller than the previous estimations.After implemented strict control and prevention measures,such as city lockdown,it took a week to slow down the COVID-19 transmission and about four weeks to really mitigate the COVID-19 prevalence in China.
基金The first author was supported by the National Natural Science Foundation of China （Grant No. 11501465） and the Fundamental Research Funds for the Central Universities （XDJK2015C041）, the second author was supported by the National Natural Science Foundation of China （Grant Nos. 11271257, 11201377） and the Natural Science Foundation of Shanghai （13ZR1422500）.
文摘For an acyelic quiver Q and a finite-dimensional algebra A, we give a unified form of the indecomposable injective objects in the monomorphism category Mon（Q, A） and prove that Mon（Q, A） has enough injective objects.
