利用 6mol LHCl沉淀枯草芽孢杆菌B2菌株的去细胞培养液 ,甲醇抽提获得脂肽类抗生素粗提物 ,过SephadexLH 2 0层析柱获得粗纯化物 ,经MALDI TOF MS检测表明B2菌株仅含有表面活性素一种脂肽类抗生素。利用HPLCSMARTSYSTEM ,将粗纯化物过 ...利用 6mol LHCl沉淀枯草芽孢杆菌B2菌株的去细胞培养液 ,甲醇抽提获得脂肽类抗生素粗提物 ,过SephadexLH 2 0层析柱获得粗纯化物 ,经MALDI TOF MS检测表明B2菌株仅含有表面活性素一种脂肽类抗生素。利用HPLCSMARTSYSTEM ,将粗纯化物过 μRPCC2 C1 8层析柱对表面活性素变异体进行分离后获得纯化物。经MALDI TOF PSD MS对纯化物的结构分析表明 ,B2菌株的表面活性素变异体由 1 3、1 4和 1 5个碳原子的脂肪酸链以及L Glu L Leu D Leu L Val L Asp D Leu L展开更多
This research addresses the challenges of training large semantic segmentation models for image analysis,focusing on expediting the annotation process and mitigating imbalanced datasets.In the context of imbalanced da...This research addresses the challenges of training large semantic segmentation models for image analysis,focusing on expediting the annotation process and mitigating imbalanced datasets.In the context of imbalanced datasets,biases related to age and gender in clinical contexts and skewed representation in natural images can affect model performance.Strategies to mitigate these biases are explored to enhance efficiency and accuracy in semantic segmentation analysis.An in-depth exploration of various reinforced active learning methodologies for image segmentation is conducted,optimizing precision and efficiency across diverse domains.The proposed framework integrates Dueling Deep Q-Networks(DQN),Prioritized Experience Replay,Noisy Networks,and Emphasizing Recent Experience.Extensive experimentation and evaluation of diverse datasets reveal both improvements and limitations associated with various approaches in terms of overall accuracy and efficiency.This research contributes to the expansion of reinforced active learning methodologies for image segmentation,paving the way for more sophisticated and precise segmentation algorithms across diverse domains.The findings emphasize the need for a careful balance between exploration and exploitation strategies in reinforcement learning for effective image segmentation.展开更多
The Electronic Supplementary Material available online erroneously only contains the first six pages of the entire supplementary material file.You will find the entire supplementary material file online linked to this...The Electronic Supplementary Material available online erroneously only contains the first six pages of the entire supplementary material file.You will find the entire supplementary material file online linked to this publisher’s erratum.The publisher apologizes to the authors and readers for this mistake.Electronic Supplementary Material:Supplementary material(detailed description on procedures,and further characterizations,including synthesis,optimization,and characterization of CdNCs,HA-CdNCs,and DOX-HA-CdNCs;calculating quantum yield;a Jellium model for assigning the most valid number of the atoms in the NCs;drug loading and release;cellular uptake and cytotoxicity)is available in the online version of this article at https://doi.org/10.1007/s12274-016-1201-z.展开更多
Biotemplated metal nanoclusters have garnered much attention owing to their wide range of potential applications in biosensing, bioimaging, catalysis, and nanomedicine. Here, we report the synthesis of stable, biocomp...Biotemplated metal nanoclusters have garnered much attention owing to their wide range of potential applications in biosensing, bioimaging, catalysis, and nanomedicine. Here, we report the synthesis of stable, biocompatible, watersoluble, and highly fluorescent bovine serum albumin-templated cadmium nanoclusters （CdNcs） through a facile one-pot green method. We covalently conjugated hyaluronic acid （HA） to the CdNcs to form a pH-responsive, tumor- targeting theranostic nanocarrier with a sustained release profile for doxorubicin （DOX）, a model anticancer drug. The nanocarrier showed a DOX encapsulation efficiency of about 75.6%. DOX release profiles revealed that 74% of DOX was released at pH 5.3, while less than 26% of DOX was released at pH 7.4 within the same 24-h period. The nanocarrier selectively recognized MCF-7 breast cancer cells expressing CD44, a cell surface receptor for HA, whereas no such recognition was observed with HA receptor-negative HEK293 cells. Biocompatibility of the nanocarrier was evaluated through cytotoxicity assays with HEK293 and MCF-7 ceils. The nanocarrier exhibited very low to no cytotoxicity, whereas the DOX-loaded nanocarrier showed considerable cellular uptake and enhanced MCF-7 breast cancer cell-killing ability. We also confirmed the feasibility of using the highly fluorescent nanoconjugate for bioimaging of MCF-7 and HeLa cells. The superior targeted drug delivery efficacy, cellular imaging capability, and low cytotoxicity position this nanoconjugate as an exciting new nanoplatform with promising biomedical applications.展开更多
文摘利用 6mol LHCl沉淀枯草芽孢杆菌B2菌株的去细胞培养液 ,甲醇抽提获得脂肽类抗生素粗提物 ,过SephadexLH 2 0层析柱获得粗纯化物 ,经MALDI TOF MS检测表明B2菌株仅含有表面活性素一种脂肽类抗生素。利用HPLCSMARTSYSTEM ,将粗纯化物过 μRPCC2 C1 8层析柱对表面活性素变异体进行分离后获得纯化物。经MALDI TOF PSD MS对纯化物的结构分析表明 ,B2菌株的表面活性素变异体由 1 3、1 4和 1 5个碳原子的脂肪酸链以及L Glu L Leu D Leu L Val L Asp D Leu L
基金This work is partially supported by the Vice President for Research and Partnerships of the University of Oklahoma,the Data Institute for Societal Challenges,and the Stephenson Cancer Center through DISC/SCC Seed Grant Award.
文摘This research addresses the challenges of training large semantic segmentation models for image analysis,focusing on expediting the annotation process and mitigating imbalanced datasets.In the context of imbalanced datasets,biases related to age and gender in clinical contexts and skewed representation in natural images can affect model performance.Strategies to mitigate these biases are explored to enhance efficiency and accuracy in semantic segmentation analysis.An in-depth exploration of various reinforced active learning methodologies for image segmentation is conducted,optimizing precision and efficiency across diverse domains.The proposed framework integrates Dueling Deep Q-Networks(DQN),Prioritized Experience Replay,Noisy Networks,and Emphasizing Recent Experience.Extensive experimentation and evaluation of diverse datasets reveal both improvements and limitations associated with various approaches in terms of overall accuracy and efficiency.This research contributes to the expansion of reinforced active learning methodologies for image segmentation,paving the way for more sophisticated and precise segmentation algorithms across diverse domains.The findings emphasize the need for a careful balance between exploration and exploitation strategies in reinforcement learning for effective image segmentation.
文摘The Electronic Supplementary Material available online erroneously only contains the first six pages of the entire supplementary material file.You will find the entire supplementary material file online linked to this publisher’s erratum.The publisher apologizes to the authors and readers for this mistake.Electronic Supplementary Material:Supplementary material(detailed description on procedures,and further characterizations,including synthesis,optimization,and characterization of CdNCs,HA-CdNCs,and DOX-HA-CdNCs;calculating quantum yield;a Jellium model for assigning the most valid number of the atoms in the NCs;drug loading and release;cellular uptake and cytotoxicity)is available in the online version of this article at https://doi.org/10.1007/s12274-016-1201-z.
文摘Biotemplated metal nanoclusters have garnered much attention owing to their wide range of potential applications in biosensing, bioimaging, catalysis, and nanomedicine. Here, we report the synthesis of stable, biocompatible, watersoluble, and highly fluorescent bovine serum albumin-templated cadmium nanoclusters （CdNcs） through a facile one-pot green method. We covalently conjugated hyaluronic acid （HA） to the CdNcs to form a pH-responsive, tumor- targeting theranostic nanocarrier with a sustained release profile for doxorubicin （DOX）, a model anticancer drug. The nanocarrier showed a DOX encapsulation efficiency of about 75.6%. DOX release profiles revealed that 74% of DOX was released at pH 5.3, while less than 26% of DOX was released at pH 7.4 within the same 24-h period. The nanocarrier selectively recognized MCF-7 breast cancer cells expressing CD44, a cell surface receptor for HA, whereas no such recognition was observed with HA receptor-negative HEK293 cells. Biocompatibility of the nanocarrier was evaluated through cytotoxicity assays with HEK293 and MCF-7 ceils. The nanocarrier exhibited very low to no cytotoxicity, whereas the DOX-loaded nanocarrier showed considerable cellular uptake and enhanced MCF-7 breast cancer cell-killing ability. We also confirmed the feasibility of using the highly fluorescent nanoconjugate for bioimaging of MCF-7 and HeLa cells. The superior targeted drug delivery efficacy, cellular imaging capability, and low cytotoxicity position this nanoconjugate as an exciting new nanoplatform with promising biomedical applications.
