Author Report for: Zhuang SNo contact information in database for Zhuang S
Liu R, Zhang Y, Li S, Liu C, Zhuang S, Zhou X, Li Y, Liang J Ref: J Sep Sci, :, 2022 : PubMed ESTHER: Liu_2022_J.Sep.Sci__ PubMedSearch: Liu 2022 J.Sep.Sci PubMedID: 36502278 Abstract In this study, an efficient method that employs 5-lipoxygenase and acetylcholinesterase as biological target molecules in receptor-ligand affinity ultrafiltration-liquid chromatography was developed for the screening of enzyme inhibitors derived from the Astragalus membranaceus stems and leaves. The effects of the extraction time, number of extraction cycles, ethanol concentration, and liquid-solid ratio on the total yield of the target compounds were investigated using response surface methodology, and the bioactive components were isolated using a combination of semi-preparative high-performance liquid chromatography and high-speed countercurrent chromatography via a two-phase solvent system consisting of n-hexane-ethyl acetate-methanol-water (1:6:2:6, v/v/v/v). Subsequently, ten naturally-occurring bioactive components in the Astragalus membranaceus stems and leaves, including wogonin, ononin, isoquercitrin, calycosin-7-glucoside, 3-hydroxy-9,10-dimethoxyptercarpan, hyperoside, 7,2'-dihydroxy-3',4'-dimethoxyisoflavan, baicalein, calycosin, and soyasaponin, were screened using affinity ultrafiltration to determine their potential effects against Alzheimer's disease. Consequently, all target compounds had purities higher than 95.0%, and the potential anti-Alzheimer's disease effect of the obtained bioactive compounds was verified using molecular docking analysis. Based on the results, the back-to-back screening of complex enzyme inhibitors and separation of the target bioactive compounds using complex chromatography could provide a new approach for the discovery and preparation of natural active ingredients. This article is protected by copyright. All rights reserved. Title: The Genomes of Oryza sativa: a history of duplications Yu J, Wang J, Lin W, Li S, Li H, Zhou J, Ni P, Dong W, Hu S and Yang H <88 more author(s)> Yu J, Wang J, Lin W, Li S, Li H, Zhou J, Ni P, Dong W, Hu S, Zeng C, Zhang J, Zhang Y, Li R, Xu Z, Li X, Zheng H, Cong L, Lin L, Yin J, Geng J, Li G, Shi J, Liu J, Lv H, Li J, Deng Y, Ran L, Shi X, Wang X, Wu Q, Li C, Ren X, Li D, Liu D, Zhang X, Ji Z, Zhao W, Sun Y, Zhang Z, Bao J, Han Y, Dong L, Ji J, Chen P, Wu S, Xiao Y, Bu D, Tan J, Yang L, Ye C, Xu J, Zhou Y, Yu Y, Zhang B, Zhuang S, Wei H, Liu B, Lei M, Yu H, Li Y, Xu H, Wei S, He X, Fang L, Huang X, Su Z, Tong W, Tong Z, Ye J, Wang L, Lei T, Chen C, Chen H, Huang H, Zhang F, Li N, Zhao C, Huang Y, Li L, Xi Y, Qi Q, Li W, Hu W, Tian X, Jiao Y, Liang X, Jin J, Gao L, Zheng W, Hao B, Liu S, Wang W, Yuan L, Cao M, McDermott J, Samudrala R, Wong GK, Yang H (- 88) Ref: PLoS Biol, 3:e38, 2005 : PubMed ESTHER: Yu_2005_PLoS.Biol_3_e38 PubMedSearch: Yu 2005 PLoS.Biol 3 e38 PubMedID: 15685292 Gene_locus related to this paper: orysa-Q7XTC5, orysa-Q852M6, orysa-Q8GSE8, orysa-Q9S7P1, orysa-Q9FYP7, orysa-Q5ZBH3, orysa-Q5ZA26, orysa-Q5JLP6, orysa-Q8H5P9, orysa-Q8H5P5, orysa-Q7F1Y5, orysa-Q949C9, orysa-cbp1, orysa-cbp3, orysa-cbpx, orysa-Q33B71, orysa-Q8GSJ3, orysa-LPL1, orysa-Q6YSZ8, orysa-Q8S5X5, orysa-Q8LIG3, orysa-Q6K7F5, orysa-Q7F1B1, orysa-Q8H4S9, orysa-Q69UB1, orysa-Q9FW17, orysa-Q337C3, orysa-Q7F959, orysa-Q84QZ6, orysa-Q84QY7, orysa-Q851E3, orysa-Q6YTH5, orysa-Q0JK71, orysa-Q8S1D9, orysa-Q5N8V4, orysa-Q0JCY4, orysa-Q8GTK2, orysa-B9EWJ8, orysa-Q8H3K6, orysa-Q6ZDG8, orysa-Q6ZDG6, orysa-Q6ZDG5, orysa-Q6ZDG4, orysa-Q5NAI4, orysa-Q658B2, orysa-Q5JMQ8, orysa-Q5QMD9, orysa-Q5N7L1, orysa-Q8RYV9, orysa-Q8H3R3, orysa-Q5SNH3, orysa-Q8W0F0, orysa-pir7a, orysa-pir7b, orysa-q2qlm4, orysa-q2qm78, orysa-q2qm82, orysa-q2qn31, orysa-q2qnj4, orysa-q2qnt9, orysa-q2qur1, orysa-q2qx94, orysa-q2qyi1, orysa-q2qyj1, orysa-q2r051, orysa-q2r077, orysa-q2ram0, orysa-q2rat1, orysa-q2rbb3, orysa-Q4VWY7, orysa-q5na00, orysa-q5nbu1, orysa-Q5QLC0, orysa-q5smv5, orysa-Q5VP27, orysa-q5vrt2, orysa-q5w6c5, orysa-q5z5a3, orysa-q5z9i2, orysa-q5z417, orysa-q5z901, orysa-Q5ZAM8, orysa-Q5ZBI5, orysa-Q5ZCR3, orysa-q6atz0, orysa-q6ave2, orysa-q6f358, orysa-q6h6s1, orysa-q6h7i6, orysa-q6i5q3, orysa-q6i5u7, orysa-q6j657, orysa-q6k3d9, orysa-q6k4q2, orysa-q6k880, orysa-q6l5b6, orysa-Q6L5F5, orysa-q6l556, orysj-q6yse8, orysa-q6yy42, orysa-q6yzk1, orysa-q6z8b1, orysa-q6z995, orysa-q6zc62, orysa-q6zia4, orysa-q6zjq6, orysa-q7x7y5, orysa-Q7XC50, orysa-q7xej4, orysa-q7xem8, orysa-q7xkj9, orysa-q7xr62, orysa-q7xr63, orysa-q7xr64, orysa-q7xsg1, orysa-q7xsq2, orysa-q7xts6, orysa-q7xv53, orysa-Q7XVB5, orysa-Q8L562, orysa-Q8LQS5, orysa-Q8RZ40, orysa-Q8RZ79, orysa-Q8S0U8, orysa-Q8S0V0, orysa-Q8S125, orysa-Q8SAY7, orysa-Q8SAY9, orysa-Q8W3C6, orysa-Q8W3F2, orysa-Q8W3F4, orysa-Q8W3F6, orysa-Q9LHX5, orysa-q33aq0, orysa-q53lh1, orysa-q53m20, orysa-q53nd8, orysa-q60e79, orysa-q60ew8, orysa-q67iz2, orysa-q67iz3, orysa-q67iz7, orysa-q67iz8, orysa-q67j02, orysa-q67j05, orysa-q67j07, orysa-q67j09, orysa-q67j10, orysa-q67tr6, orysa-q67tv0, orysa-q67uz1, orysa-q67v34, orysa-q67wz5, orysa-q69j38, orysa-q69k08, orysa-q69md7, orysa-q69me0, orysa-q69pf3, orysa-q69ti3, orysa-q69xr2, orysa-q69y12, orysa-q69y21, orysa-q75hy2, orysa-q75i01, orysa-Q94JD7, orysa-Q0J0A4, orysa-q651a8, orysa-q651z3, orysa-q652g4, orysa-q688m0, orysa-q688m8, orysa-q688m9, orysa-Q6H8G1, orysi-a2wn01, orysi-a2xc83, orysi-a2yh83, orysi-a2z179, orysi-a2zef2, orysi-b8a7e6, orysi-b8a7e7, orysi-b8bfe5, orysi-b8bhp9, orysj-a3b9l8, orysj-b9eub8, orysj-b9eya5, orysj-b9fi05, orysj-b9fkb0, orysj-b9fn42, orysj-b9gbb7, orysj-cgep, orysj-PLA7, orysj-q0d4u5, orysj-q0djj0, orysj-q0jaf0, orysj-q5jl22, orysj-q5jlw7, orysj-q5z419, orysj-q6h7q9, orysj-q6yvk6, orysj-q6z6i1, orysj-q7f8x1, orysj-q7xcx3, orysj-q9fwm6, orysj-q10j20, orysj-q10ss2, orysj-q69uw6, orysj-q94d71, orysj-q338c0, orysi-b8bly4, orysj-b9gbs4, orysi-a2zb88, orysj-b9gbs1, orysi-b8b698, orysj-pla4, orysj-pla1 Abstract We report improved whole-genome shotgun sequences for the genomes of indica and japonica rice, both with multimegabase contiguity, or almost 1,000-fold improvement over the drafts of 2002. Tested against a nonredundant collection of 19,079 full-length cDNAs, 97.7% of the genes are aligned, without fragmentation, to the mapped super-scaffolds of one or the other genome. We introduce a gene identification procedure for plants that does not rely on similarity to known genes to remove erroneous predictions resulting from transposable elements. Using the available EST data to adjust for residual errors in the predictions, the estimated gene count is at least 38,000-40,000. Only 2%-3% of the genes are unique to any one subspecies, comparable to the amount of sequence that might still be missing. Despite this lack of variation in gene content, there is enormous variation in the intergenic regions. At least a quarter of the two sequences could not be aligned, and where they could be aligned, single nucleotide polymorphism (SNP) rates varied from as little as 3.0 SNP/kb in the coding regions to 27.6 SNP/kb in the transposable elements. A more inclusive new approach for analyzing duplication history is introduced here. It reveals an ancient whole-genome duplication, a recent segmental duplication on Chromosomes 11 and 12, and massive ongoing individual gene duplications. We find 18 distinct pairs of duplicated segments that cover 65.7% of the genome; 17 of these pairs date back to a common time before the divergence of the grasses. More important, ongoing individual gene duplications provide a never-ending source of raw material for gene genesis and are major contributors to the differences between members of the grass family. | |||||||
|
