The Experts below are selected from a list of 404037 Experts worldwide ranked by ideXlab platform
Yukui Zhang - One of the best experts on this subject based on the ideXlab platform.
-
an activity maintaining sequential protein Extraction Method for bioactive assay and proteome analysis of velvet antlers
Talanta, 2013Co-Authors: Zhigang Sui, Huiming Yuan, Zhen Liang, Qun Zhao, Simin Xia, Lihua Zhang, Yushu Huo, Yukui ZhangAbstract:The exceptional growth rate of velvet antler makes it a valuable model for studying the development of tissues, such as blood vessels, cartilage and bone. Meanwhile, investigating the activities of extracted proteins from velvet antlers promisingly leads to the discovery of new active factors which regulate the development of above-mentioned tissue types. In this study, a novel sequential protein Extraction Method was developed for proteome profiling and bioactivity study of velvet antlers. Herein, four antler growing tips were pooled to create a proportional pooled sample, and three aliquots of which were extracted in parallel using the developed Extraction Method. For each sample, proteins were extracted sequentially by saline solvent (0.15M sodium chloride, pH 7.0), mild acid buffer (0.15M acetate buffer, pH 4.0) and mild alkaline buffer (0.15M glycine-sodium hydroxide buffer, pH 10.0) with good bio-compatibility to prevent proteins denaturation. Then STD lysis buffer, containing 4% SDS, 0.1M Tris-HCl and 0.1M DTT, was used to extract hydrophobic proteins. The tryptic digest of each fraction was analyzed by nanoRPLC-ESI-MS/MS in triplicates, with false discovery rate for peptide identification adjusted to 1% to create filtered protein group list. In total, 1423 protein groups were identified, which expanded up to 3 times of the previous published dataset. The relative standard deviation of identified peptide and protein group number for all analyses indicated the good reproducibility of the developed sequential protein Extraction Method. Additionally, proteins extracted by acid buffer and alkaline buffer showed obvious promoting effect on the proliferation of human umbilical vein endothelial cells. All these results demonstrate that the developed sequential Extraction Method is efficient for the comprehensive proteome analysis and activity investigation of velvet antlers.
Simin Xia - One of the best experts on this subject based on the ideXlab platform.
-
an activity maintaining sequential protein Extraction Method for bioactive assay and proteome analysis of velvet antlers
Talanta, 2013Co-Authors: Zhigang Sui, Huiming Yuan, Zhen Liang, Qun Zhao, Simin Xia, Lihua Zhang, Yushu Huo, Yukui ZhangAbstract:The exceptional growth rate of velvet antler makes it a valuable model for studying the development of tissues, such as blood vessels, cartilage and bone. Meanwhile, investigating the activities of extracted proteins from velvet antlers promisingly leads to the discovery of new active factors which regulate the development of above-mentioned tissue types. In this study, a novel sequential protein Extraction Method was developed for proteome profiling and bioactivity study of velvet antlers. Herein, four antler growing tips were pooled to create a proportional pooled sample, and three aliquots of which were extracted in parallel using the developed Extraction Method. For each sample, proteins were extracted sequentially by saline solvent (0.15M sodium chloride, pH 7.0), mild acid buffer (0.15M acetate buffer, pH 4.0) and mild alkaline buffer (0.15M glycine-sodium hydroxide buffer, pH 10.0) with good bio-compatibility to prevent proteins denaturation. Then STD lysis buffer, containing 4% SDS, 0.1M Tris-HCl and 0.1M DTT, was used to extract hydrophobic proteins. The tryptic digest of each fraction was analyzed by nanoRPLC-ESI-MS/MS in triplicates, with false discovery rate for peptide identification adjusted to 1% to create filtered protein group list. In total, 1423 protein groups were identified, which expanded up to 3 times of the previous published dataset. The relative standard deviation of identified peptide and protein group number for all analyses indicated the good reproducibility of the developed sequential protein Extraction Method. Additionally, proteins extracted by acid buffer and alkaline buffer showed obvious promoting effect on the proliferation of human umbilical vein endothelial cells. All these results demonstrate that the developed sequential Extraction Method is efficient for the comprehensive proteome analysis and activity investigation of velvet antlers.
Qun Zhao - One of the best experts on this subject based on the ideXlab platform.
-
an activity maintaining sequential protein Extraction Method for bioactive assay and proteome analysis of velvet antlers
Talanta, 2013Co-Authors: Zhigang Sui, Huiming Yuan, Zhen Liang, Qun Zhao, Simin Xia, Lihua Zhang, Yushu Huo, Yukui ZhangAbstract:The exceptional growth rate of velvet antler makes it a valuable model for studying the development of tissues, such as blood vessels, cartilage and bone. Meanwhile, investigating the activities of extracted proteins from velvet antlers promisingly leads to the discovery of new active factors which regulate the development of above-mentioned tissue types. In this study, a novel sequential protein Extraction Method was developed for proteome profiling and bioactivity study of velvet antlers. Herein, four antler growing tips were pooled to create a proportional pooled sample, and three aliquots of which were extracted in parallel using the developed Extraction Method. For each sample, proteins were extracted sequentially by saline solvent (0.15M sodium chloride, pH 7.0), mild acid buffer (0.15M acetate buffer, pH 4.0) and mild alkaline buffer (0.15M glycine-sodium hydroxide buffer, pH 10.0) with good bio-compatibility to prevent proteins denaturation. Then STD lysis buffer, containing 4% SDS, 0.1M Tris-HCl and 0.1M DTT, was used to extract hydrophobic proteins. The tryptic digest of each fraction was analyzed by nanoRPLC-ESI-MS/MS in triplicates, with false discovery rate for peptide identification adjusted to 1% to create filtered protein group list. In total, 1423 protein groups were identified, which expanded up to 3 times of the previous published dataset. The relative standard deviation of identified peptide and protein group number for all analyses indicated the good reproducibility of the developed sequential protein Extraction Method. Additionally, proteins extracted by acid buffer and alkaline buffer showed obvious promoting effect on the proliferation of human umbilical vein endothelial cells. All these results demonstrate that the developed sequential Extraction Method is efficient for the comprehensive proteome analysis and activity investigation of velvet antlers.
Zhigang Sui - One of the best experts on this subject based on the ideXlab platform.
-
an activity maintaining sequential protein Extraction Method for bioactive assay and proteome analysis of velvet antlers
Talanta, 2013Co-Authors: Zhigang Sui, Huiming Yuan, Zhen Liang, Qun Zhao, Simin Xia, Lihua Zhang, Yushu Huo, Yukui ZhangAbstract:The exceptional growth rate of velvet antler makes it a valuable model for studying the development of tissues, such as blood vessels, cartilage and bone. Meanwhile, investigating the activities of extracted proteins from velvet antlers promisingly leads to the discovery of new active factors which regulate the development of above-mentioned tissue types. In this study, a novel sequential protein Extraction Method was developed for proteome profiling and bioactivity study of velvet antlers. Herein, four antler growing tips were pooled to create a proportional pooled sample, and three aliquots of which were extracted in parallel using the developed Extraction Method. For each sample, proteins were extracted sequentially by saline solvent (0.15M sodium chloride, pH 7.0), mild acid buffer (0.15M acetate buffer, pH 4.0) and mild alkaline buffer (0.15M glycine-sodium hydroxide buffer, pH 10.0) with good bio-compatibility to prevent proteins denaturation. Then STD lysis buffer, containing 4% SDS, 0.1M Tris-HCl and 0.1M DTT, was used to extract hydrophobic proteins. The tryptic digest of each fraction was analyzed by nanoRPLC-ESI-MS/MS in triplicates, with false discovery rate for peptide identification adjusted to 1% to create filtered protein group list. In total, 1423 protein groups were identified, which expanded up to 3 times of the previous published dataset. The relative standard deviation of identified peptide and protein group number for all analyses indicated the good reproducibility of the developed sequential protein Extraction Method. Additionally, proteins extracted by acid buffer and alkaline buffer showed obvious promoting effect on the proliferation of human umbilical vein endothelial cells. All these results demonstrate that the developed sequential Extraction Method is efficient for the comprehensive proteome analysis and activity investigation of velvet antlers.
A. Men'shchikov - One of the best experts on this subject based on the ideXlab platform.
-
A multi-scale filament Extraction Method: getfilaments
Astronomy & Astrophysics, 2013Co-Authors: A. Men'shchikovAbstract:Far-infrared imaging surveys of Galactic star-forming regions with Herschel have shown that a substantial part of the cold interstellar medium appears as a fascinating web of omnipresent filamentary structures. This highly anisotropic ingredient of the interstellar material further complicates the difficult problem of the systematic detection and measurement of dense cores in the strongly variable but (relatively) isotropic backgrounds. Observational evidence that stars form in dense filaments creates severe problems for automated source Extraction Methods that must reliably distinguish sources not only from fluctuating backgrounds and noise, but also from the filamentary structures. A previous paper presented the multi-scale, multi-wavelength source Extraction Method getsources based on a fine spatial scale decomposition and filtering of irrelevant scales from images. In this paper, a multi-scale, multi-wavelength filament Extraction Method getfilaments is presented that solves this problem, substantially improving the robustness of source Extraction with getsources in filamentary backgrounds. The main difference is that the filaments extracted by getfilaments are now subtracted by getsources from detection images during source Extraction, greatly reducing the chances of contaminating catalogs with spurious sources. The intimate physical relationship between forming stars and filaments seen in Herschel observations demands that accurate filament Extraction Methods must remove the contribution of sources and that accurate source Extraction Methods must be able to remove underlying filamentary structures. Source Extraction with getsources now provides researchers also with clean images of filaments, free of sources, noise, and isotropic backgrounds.
