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Titlebook: MicroRNA Interference Technologies; Zhiguo Wang Book 2009 Springer-Verlag Berlin Heidelberg 2009 Activation.Nucleotide.gene expression.gen

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發(fā)表于 2025-3-21 20:01:34 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱MicroRNA Interference Technologies
編輯Zhiguo Wang
視頻videohttp://file.papertrans.cn/633/632802/632802.mp4
概述Includes supplementary material:
圖書封面Titlebook: MicroRNA Interference Technologies;  Zhiguo Wang Book 2009 Springer-Verlag Berlin Heidelberg 2009 Activation.Nucleotide.gene expression.gen
描述.MicroRNAs (miRNAs), endogenous noncoding regulatory mRNAs of around 22-nucleotides long, have rapidly emerged as one of the key governors of the gene expression regulatory program in cells of varying species, with ever-increasing implications in the control of the fundamental biological processes and in the pathogenesis of adult humans. The exciting findings in this field have inspired us with a premise and a promise that miRNAs will ultimately be taken to the heart for therapy of human disease. While miRNAs have been considered potential therapeutic targets for disease treatment, it remains obscured what strategies we can use to achieve the goal. In the past years, we have witnessed a rapid evolving of many creative, innovative, inventive strategies and methodologies pertinent to miRNA research and applications. These technologies have convincingly demonstrated their efficacy and reliability in producing gain-of-function or loss-of-function of miRNAs through targeting miRNA expression/biogenesis/function, providing new tools for elucidating miRNA functions and opening up a new avenue for the development of new agents targeting miRNAs for therapeutic aims. The present book provide
出版日期Book 2009
關(guān)鍵詞Activation; Nucleotide; gene expression; gene therapy; interference technology; miRNA; miRNAs
版次1
doihttps://doi.org/10.1007/978-3-642-00489-6
isbn_softcover978-3-642-10151-9
isbn_ebook978-3-642-00489-6
copyrightSpringer-Verlag Berlin Heidelberg 2009
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978-3-642-10151-9Springer-Verlag Berlin Heidelberg 2009
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Zhiguo Wang statistical significance were conducted. Lastly, a classroom experiment was conducted with a marketing analytics class with 27 students. Results of the analysis revealed that the combination of independent variables significantly predicted the use of artificial intelligence for converting social me
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Zhiguo Wang statistical significance were conducted. Lastly, a classroom experiment was conducted with a marketing analytics class with 27 students. Results of the analysis revealed that the combination of independent variables significantly predicted the use of artificial intelligence for converting social me
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