Interests in intracellular peptide delivery have continued to grow,significantly fueled by the importance of peptides and their mimetics in modern cell biology and pharmaceutical industry.However,efficient intracellul...Interests in intracellular peptide delivery have continued to grow,significantly fueled by the importance of peptides and their mimetics in modern cell biology and pharmaceutical industry.However,efficient intracellular delivery of membrane-impermeable peptides of different polarities remains a challenging task.In this study,we develop a general and robust strategy for intracellular peptide delivery by using a boronic acid-rich dendrimer.The designed material is capable of transporting peptides with different polarities and charge properties into the cytosol of various cell lines without inducing additional cytotoxicity.The transduction efficacy and proteolytic stability of cargo peptides delivered by the boronic acid-rich dendrimer are much superior to peptides conjugated with cell penetrant peptides such as octaarginine.In addition,the bioactivities of pro-apoptotic peptides are maintained after intracellular delivery.This study provides a versatile and robust platform for the intracellular delivery of membrane-impermeable peptides.展开更多
Evolutionary studies have been of prime importance to life scientists since ancient times. The advancements in technology has made it possible to make available the massive amounts of genomic data. The abundance of ge...Evolutionary studies have been of prime importance to life scientists since ancient times. The advancements in technology has made it possible to make available the massive amounts of genomic data. The abundance of genomic data poses new challenges for biologists, computer scientists and mathematicians to develop approaches for discovery of new relationships in data and evolutionary networks. In this work, nucleotide sequences are converted into binary sequences to explore the network among different species. A new approach based on binary sequences has been proposed to reconstruct the accurate phylogenetic network. The algorithm developed is validated by comparing the results with those obtained by already existing method of network construction. A program is also coded in C language on the Intel Core i3 Dell inspiron machine to obtain the evolutionary network. The new approach developed also provides the fast solutions as there is no need of aligning the sequences.展开更多
基金supported by the National Natural Science Foundation of China (21725402)the Science and Technology Commission of Shanghai Municipality (17XD1401600)+1 种基金Guangdong Innovative and Entrepreneurial Research Team Program (2016ZT06C322)supports from the Flow Cytometry Core Facility and the Confocal Microscopy Facility at ECNU
文摘Interests in intracellular peptide delivery have continued to grow,significantly fueled by the importance of peptides and their mimetics in modern cell biology and pharmaceutical industry.However,efficient intracellular delivery of membrane-impermeable peptides of different polarities remains a challenging task.In this study,we develop a general and robust strategy for intracellular peptide delivery by using a boronic acid-rich dendrimer.The designed material is capable of transporting peptides with different polarities and charge properties into the cytosol of various cell lines without inducing additional cytotoxicity.The transduction efficacy and proteolytic stability of cargo peptides delivered by the boronic acid-rich dendrimer are much superior to peptides conjugated with cell penetrant peptides such as octaarginine.In addition,the bioactivities of pro-apoptotic peptides are maintained after intracellular delivery.This study provides a versatile and robust platform for the intracellular delivery of membrane-impermeable peptides.
文摘Evolutionary studies have been of prime importance to life scientists since ancient times. The advancements in technology has made it possible to make available the massive amounts of genomic data. The abundance of genomic data poses new challenges for biologists, computer scientists and mathematicians to develop approaches for discovery of new relationships in data and evolutionary networks. In this work, nucleotide sequences are converted into binary sequences to explore the network among different species. A new approach based on binary sequences has been proposed to reconstruct the accurate phylogenetic network. The algorithm developed is validated by comparing the results with those obtained by already existing method of network construction. A program is also coded in C language on the Intel Core i3 Dell inspiron machine to obtain the evolutionary network. The new approach developed also provides the fast solutions as there is no need of aligning the sequences.
