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65篇 您的检索式:作者名="Lasagna"
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1863 genomes reveal the origin and domestication of chicken显示文摘Despite the substantial role that chickens have played in human societies across the world,both the geographic and temporal origins of their domestication remain controversial.To address this issue,we analyzed 863 genomes from a worldwide sampling of chickens and representatives of all four species of wild jungle fowl and each of the five subspecies of red jungle fowl(RJF).Our study suggests that domestic chickens were initially derived from the RJF subspecies Gallus gallus spadiceus whose present-day distribution is predominantly in southwestern China,northern Thailand and Myanmar.Following their domestication,chickens were translocated across Southeast and South Asia where they interbred locally with both RJF subspecies and other jungle fowl species.In addition,our results show that the White Leghorn chicken breed possesses a mosaic of divergent ancestries inherited from other subspecies of RJF.Despite the strong episodic gene flow from geographically divergent lineages of jungle fowls,our analyses show that domestic chickens undergo genetic adaptations that underlie their unique behavioral,morphological and reproductive traits.Our study provides novel insights into the evolutionary history of domestic chickens and a valuable resource to facilitate ongoing genetic and functional investigations of the world's most numerous domestic animal.Ming-Shan Wang Mukesh Thakur Min-Sheng Peng Yu Jiang Laurent Alain Francois Frantz Ming Li Jin-Jin Zhang Sheng Wang Joris Peters Newton Otieno Otecko Chatmongkon Suwannapoom Xing Guo Zhu-Qing Zheng Ali Esmailizadeh Nalini Yasoda Hirimuthugoda Hidayat Ashari Sri Suladari Moch Syamsul Arifin Zein Szilvia Kusza Saeed Sohrabi Hamed Kharrati-Koopaee Quan-Kuan Shen Lin Zeng Min-Min Yang Ya-Jiang Wu Xing-Yan Yang Xue-Mei Lu Xin-Zheng Jia Qing-Hua Nie Susan Joy Lamont Emiliano Lasagna Simone Ceccobelli Humpita Gamaralalage Thilini Nisanka Gunwardana Thilina Madusanka Senasige Shao-Hong Feng Jing-Fang Si Hao Zhang Jie-Qiong Jin Ming-Li Li Yan-Hu Liu Hong-Man Chen Cheng Ma Shan-Shan Dai Abul Kashem Fazlul Haque Bhuiyan Muhammad Sajjad Khan Gamamada Liyanage Lalanie Pradeepa Silva Thi-Thuy Le Okeyo Ally Mwai Mohamed Nawaz Mohamed Ibrahim Megan Supple Beth Shapiro Olivier Hanotte Guojie Zhang Greger Larson Jian-Lin Han Dong-Dong Wu Ya-Ping Zhang 2020Cell Research2020,30,8:7
2Astrocytes contain amyloid-13 annular protofibrils in Alzheimer' s disease brains 显示文摘Cristiian A Lasagna R Rakez K 2011FEBS Letters2011,585,19:1
3Hepatocyte growth factor and inducible nitric oxide synthase are involved in multidrug resistance-induced angiogenesis in hepatocellular carcinoma cell lines 显示文摘Lasagna N Fantappie O Solazzo M 2006Cancer Res2006,66,5:1
4MicroRNA cloning and se- quencing in osteosarcoma cell lines: differential role of miR-93 显示文摘Montanini L Lasagna L Barili V 2012Cell Oncol( Dordr)2012,35,1:1
5Studies with different types of visual analog scales for measurement of pain 显示文摘SRIWATANAKUL K KELVIE W LASAGNA L 1983Clin Pharmaeol Ther1983,34,2:1
6Genotoxici-ty biomarkers in Mytilus galloprovincialis : wild versus cagedmussels显示文摘BOLOGNESI C FRENZILLI S LASAGNA C 2004Mutation Research2004,552,12:1
7Diuretics vs alpha-blockers for treatment of hypertension:lessons from ALLHAT显示文摘Lasagna L 2000JAMA2000,283,5:1
8The effect of hydrocortisoneupon the course of pneumococcal pneumonia treated with penicillin显示文摘Wagner HN Jr Bennett IL Jr Lasagna L 1956Bull Johns Hopkins Hosp1956,98,:1
9Poloxamer 188 copolymerm embrane sealant rescues toxicity of amyloid oligomers in vitro显示文摘Mina EW Lasagna RC Glabe CG 2009J Mol Biol2009,391,3:1
10New drug development in the United States, 1963 - 1990显示文摘DiMasi J A Bryant N R Lasagna L 1991Clin Pharmacol Therapeutics1991,50,5:1
11CO gas sensing from ultrathin nano-composite conducting polymer film显示文摘RAM M K YAVUZ O LASAGNA V 2005Sensors and Actuators B-Chemical2005,106,2:1
12Expression profile of six stress-related genes and productive performances of fast and slow growingbroiler strains reared under heat stress conditions 显示文摘Himoldi S Lasagna E Sarti FM 2015Meta Gene2015,6,:1
13Adverse drug reactions, a critical review 显示文摘KARCH F E LASAGNA L 1975JAMA1975,234,12:1
14P-glycoprotein me- diates celecoxib-induced apoptosis in multiple drug-resistant cell lines显示文摘iated pro- Sci 2007 Fantappi: O Solazzo M Lasagna N 2007Cancer Res2007,67,10:1
15MicroRNA cloning and sequencing in osteosarcoma cell lines:differential role of miR-93显示文摘MONTANINI L LASAGNA L BARILI V 2012Cell Oncol(Dordr)2012,35,:1
16l_(1)-based calibration of POD-Galerkin models of two-dimensional unsteady flows显示文摘This paper discusses a physics-informed methodology aimed at reconstructing efficiently the fluid state of a system.Herein,the generation of an accurate reduced order model of twodimensional unsteady flows from data leverages on sparsity-promoting statistical learning techniques.The cornerstone of the approach is l_(1) regularised regression,resulting in sparselyconnected models where only the important quadratic interactions between modes are retained.The original dynamical behaviour is reproduced at low computational costs,as few quadratic interactions need to be evaluated.The approach has two key features.First,interactions are selected systematically as a solution of a convex optimisation problem and no a priori assumptions on the physics of the flow are required.Second,the presence of a regularisation term improves the predictive performance of the original model,generally affected by noise and poor data quality.Test cases are for two-dimensional lid-driven cavity flows,at three values of the Reynolds number for which the motion is chaotic and energy interactions are scattered across the spectrum.It is found that:(A)the sparsification generates models maintaining the original accuracy level but with a lower number of active coefficients;this becomes more pronounced for increasing Reynolds numbers suggesting that extension of these techniques to real-life flow configurations is possible;(B)sparse models maintain a good temporal stability for predictions.The methodology is ready for more complex applications without modifications of the underlying theory,and the integration into a cyberphysical model is feasible.Riccardo RUBINI Davide LASAGNA Andrea DA RONCH 2021Chinese Journal of Aeronautics2021,34,1:1
17P-glycoprotein mediates celecoxib-induced apoptosis in multiple drug-resistant cell lines显示文摘Fantappie O Solazzo M Lasagna N 2007Cancer Res2007,67,10:1
18Toward the operational identification of adverse drug reactions显示文摘Karch F E Lasagna L 1977Clin Pharmacol Ther1977,21,3:1
19MieroRNA cloning and sequencing in osteosarcoma cell lines: differential role of miR- 93显示文摘Montanini L Lasagna L Barili V 2012Cell Oncol (Dordr)2012,35,1:1
20Effects of ligands on the mobility of an active-site loop in tyrosine hydroxylase as monitored by fluorescence anisotropy显示文摘Sura G R Lasagna M Gawandi V 2006Biochemistry2006,45,31:1
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