Significant attenuation and overheating, caused by the absorption of the excitation band （980 nm） in water, are the major obstacles in the in vivo application of lanthanide-doped upconversion nanoparticles （UCNPs）...Significant attenuation and overheating, caused by the absorption of the excitation band （980 nm） in water, are the major obstacles in the in vivo application of lanthanide-doped upconversion nanoparticles （UCNPs）. Therefore, appropriately- structured Nd3^＋-doped UCNPs with 808 nm excitation could be a promising alternative. Herein, we developed core-shell-shell structured Nd3^＋-sensitized UCNPs as imaging agents, and decorated them onto the surface of polydopamine （PDA） to construct a novel multifunctional core/satellite nanotheranostic （PDA@UCNPs） for in vivo imaging guidance photothermal therapy using single 808 nm laser irradiation. The core-shell-shell structured design enabled outstanding upconversion luminescence properties and strong X-ray attenuation, thereby making the nanocomposites potential candidates for excellent upconversion luminescence/computed tomography dual modal imaging. In addition, the PDA core not only provides high photothermal conversion efficiency and outstanding antitumor effect, but also endows the platform with robust biocompatibility owing to its natural features. Therefore, this multifunctional nanocomposite could be a promising theranostic in future oncotherapy, with high therapeutic effectiveness but low side effects. This study would stimulate interest in designing bio- application-compatible multifunctional nanocomposites, especially for cancer diagnosis and treatment in vivo.展开更多
Mutagenized populations have provided important materials for introducing variation and identifying gene function in plants. In this study, an ethyl methanesulfonate（EMS）-induced soybean（Glycine max） population,co...Mutagenized populations have provided important materials for introducing variation and identifying gene function in plants. In this study, an ethyl methanesulfonate（EMS）-induced soybean（Glycine max） population,consisting of 21,600 independent M_2 lines, was developed.Over 1,000 M_（4（5））families, with diverse abnormal phenotypes for seed composition, seed shape, plant morphology and maturity that are stably expressed across different environments and generations were identified. Phenotypic analysis of the population led to the identification of a yellow pigmentation mutant, gyl, that displayed significantly decreased chlorophyll（Chl） content and abnormal chloroplast development. Sequence analysis showed that gyl is allelic to Minn Gold, where a different single nucleotide polymorphism variation in the Mg-chelatase subunit gene（ChlI1a） results in golden yellow leaves. A cleaved amplified polymorphic sequence marker was developed and may be applied to marker-assisted selection for the golden yellow phenotype in soybean breeding. We show that the newly developed soybean EMS mutant population has potential for functional genomics research and genetic improvement in soybean.展开更多
Real world study （RWS） has become a hotspot for clinical research. Data quality plays a vital role in research achievement and other clinical research fields. In this paper, the common quality problems in the RWS of...Real world study （RWS） has become a hotspot for clinical research. Data quality plays a vital role in research achievement and other clinical research fields. In this paper, the common quality problems in the RWS of traditional Chinese medicine are discussed, and a countermeasure is proposed.展开更多
In this study,we devised a computational framework called Supervised Feature Learning and Scoring(SuperFeat)which enables the training of a machine learning model and evaluates the canonical cellular statuses/features...In this study,we devised a computational framework called Supervised Feature Learning and Scoring(SuperFeat)which enables the training of a machine learning model and evaluates the canonical cellular statuses/features in pathological tissues that underlie the progression of disease.This framework also enables the identification of potential drugs that target the presumed detrimental cellular features.This framework was constructed on the basis of an artificial neural network with the gene expression profiles serving as input nodes.The training data comprised single-cell RNA sequencing datasets that encompassed the specific cell lineage during the developmental progression of cell features.A few models of the canonical cancer-involved cellular statuses/features were tested by such framework.Finally,we illustrated the drug repurposing pipeline,utilizing the training parameters derived from the adverse cellular statuses/features,which yielded successful validation results both in vitro and in vivo.SuperFeat is accessible at https://github.com/weilin-genomics/rSuperFeat.展开更多
基金Acknowledgements This work was supported by the financial aid from the National Natural Science Foundation of China （Nos. 51502284, 51372242, 51402286, 21521092, 21590794, and 21210001）, the Hong Kong, Macao and Taiwan Science and Technology Cooperation Special Project of Ministry of Science and Technology of China （No. 2014DFT10310）, the Program of Science and Technology Development Plan of Jilin Province of China （No. 20140201007GX）, the National Basic Research Program of China （No. 2014CB643802）, the Strategic Priority Research Program of the Chinese Academy of Sciences （No. XDB20030300） and the Jilin Province Youth Foundation （No. 20150520007JH）.
文摘Significant attenuation and overheating, caused by the absorption of the excitation band （980 nm） in water, are the major obstacles in the in vivo application of lanthanide-doped upconversion nanoparticles （UCNPs）. Therefore, appropriately- structured Nd3^＋-doped UCNPs with 808 nm excitation could be a promising alternative. Herein, we developed core-shell-shell structured Nd3^＋-sensitized UCNPs as imaging agents, and decorated them onto the surface of polydopamine （PDA） to construct a novel multifunctional core/satellite nanotheranostic （PDA@UCNPs） for in vivo imaging guidance photothermal therapy using single 808 nm laser irradiation. The core-shell-shell structured design enabled outstanding upconversion luminescence properties and strong X-ray attenuation, thereby making the nanocomposites potential candidates for excellent upconversion luminescence/computed tomography dual modal imaging. In addition, the PDA core not only provides high photothermal conversion efficiency and outstanding antitumor effect, but also endows the platform with robust biocompatibility owing to its natural features. Therefore, this multifunctional nanocomposite could be a promising theranostic in future oncotherapy, with high therapeutic effectiveness but low side effects. This study would stimulate interest in designing bio- application-compatible multifunctional nanocomposites, especially for cancer diagnosis and treatment in vivo.
基金supported by National Key R&D Program for Crop Breeding (2016YFD0100201)the Crop Germplasm Resources Protection (2014NWB030, 2015NWB030-05)+1 种基金Platform of National Crop Germplasm Resources of China (2014-004, 2015-004)The Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences (CAAS)
文摘Mutagenized populations have provided important materials for introducing variation and identifying gene function in plants. In this study, an ethyl methanesulfonate（EMS）-induced soybean（Glycine max） population,consisting of 21,600 independent M_2 lines, was developed.Over 1,000 M_（4（5））families, with diverse abnormal phenotypes for seed composition, seed shape, plant morphology and maturity that are stably expressed across different environments and generations were identified. Phenotypic analysis of the population led to the identification of a yellow pigmentation mutant, gyl, that displayed significantly decreased chlorophyll（Chl） content and abnormal chloroplast development. Sequence analysis showed that gyl is allelic to Minn Gold, where a different single nucleotide polymorphism variation in the Mg-chelatase subunit gene（ChlI1a） results in golden yellow leaves. A cleaved amplified polymorphic sequence marker was developed and may be applied to marker-assisted selection for the golden yellow phenotype in soybean breeding. We show that the newly developed soybean EMS mutant population has potential for functional genomics research and genetic improvement in soybean.
文摘Real world study （RWS） has become a hotspot for clinical research. Data quality plays a vital role in research achievement and other clinical research fields. In this paper, the common quality problems in the RWS of traditional Chinese medicine are discussed, and a countermeasure is proposed.
基金supported by grants from the Shanghai Jiao Tong University,the Renji Hospital Start-up funding for New PI,the Natural Science Foundation of Shanghai Science and Technology Innovation Action Plan(Grant No.21ZR1441500)the Young Talent of Hunan(Grant No.2020RC3066)+1 种基金the Hunan Natural Science Fund for Excellent Young Scholars(Grant No.2021JJ20003)the China Postdoctoral Science Foundation(Grant No.2021T140197).
文摘In this study,we devised a computational framework called Supervised Feature Learning and Scoring(SuperFeat)which enables the training of a machine learning model and evaluates the canonical cellular statuses/features in pathological tissues that underlie the progression of disease.This framework also enables the identification of potential drugs that target the presumed detrimental cellular features.This framework was constructed on the basis of an artificial neural network with the gene expression profiles serving as input nodes.The training data comprised single-cell RNA sequencing datasets that encompassed the specific cell lineage during the developmental progression of cell features.A few models of the canonical cancer-involved cellular statuses/features were tested by such framework.Finally,we illustrated the drug repurposing pipeline,utilizing the training parameters derived from the adverse cellular statuses/features,which yielded successful validation results both in vitro and in vivo.SuperFeat is accessible at https://github.com/weilin-genomics/rSuperFeat.
