microarray

简明释义

英[/ˈmaɪkroʊəreɪ/]美[/ˈmaɪkroʊəreɪ/]

n. 微阵列；微阵列芯片

英英释义

单词用法

同义词

反义词

例句

1.The research direction of this dissertation is about the microarray based gene mining in the bioinformatics subject.

本论文的研究方向是生物信息领域的基于基因表达谱的基因挖掘。

2.Tissue microarray is an efficient technique to study genes and its expression product.

组织芯片技术是高效的研究基因及其表达产物的技术平台。

3.The researchers developed a microarray of 925 proteins, and then used blood samples to test arrays.

研究者开发了一个925个蛋白的微阵列，然后用血液样品去测试阵列。

4.The applications of support vector machine are reviewed in DNA microarray.

就支持向量机在DNA微阵列的应用做一综述。

5.Objective To search an effective method on screening significant genes based on microarray data.

目的基于微阵列表达数据，探索筛选差异表达基因的有效方法。

6.The DNA microarray Web Site. Basics on DNA microarray technology, and a list of academic and industrial links.

去氧核糖核酸微阵列网址去氧核糖核酸微阵列技术基础，和一串学界和业界的连结。

7.They used microarray technology not available 15 years ago, when the data was collected.

当数据被收集时，他们应用了15年前所没有的基因芯片技术。

8.Gene expression characteristics analysis is the research hotspot of microarray.

基因表达特征分析是基因芯片的研究热点。

9.Conclusion: cDNA microarray found the tumor specific gene expression spectrum in gliomas.

结论：基因芯片发现了胶质瘤的异常基因表达谱。

10.By employing a microarray, scientists can detect thousands of genes simultaneously.

通过使用微阵列，科学家可以同时检测成千上万的基因。

11.The microarray technology has revolutionized the field of genomics.

微阵列技术彻底改变了基因组学领域。

12.The microarray allows for high-throughput screening of genetic material.

微阵列允许对遗传物质进行高通量筛选。

13.The researchers used a microarray to analyze gene expression levels in cancer cells.

研究人员使用微阵列分析癌细胞中的基因表达水平。

14.Using a microarray, we can identify specific genetic mutations linked to diseases.

使用微阵列，我们可以识别与疾病相关的特定基因突变。

作文

In the field of genomics and molecular biology, the term microarray refers to a powerful technology that allows scientists to study the expression levels of thousands of genes simultaneously. A microarray consists of a small glass slide or a silicon chip that is dotted with tiny spots, each containing specific DNA sequences. These sequences can hybridize with complementary DNA or RNA from a sample, enabling researchers to analyze gene expression patterns in various biological conditions. The significance of microarrays lies in their ability to provide insights into the complex interactions within cells, helping to uncover the underlying mechanisms of diseases such as cancer, diabetes, and cardiovascular disorders.The development of microarray technology has revolutionized the way we approach genetic research. Traditionally, studying the expression of individual genes required separate experiments, which were time-consuming and costly. However, with microarrays, researchers can obtain a comprehensive view of gene expression profiles in a single experiment. This high-throughput capability not only saves time but also allows for the discovery of novel biomarkers that can be used in diagnostics and therapeutics.Moreover, microarrays have facilitated advancements in personalized medicine. By analyzing the gene expression patterns of a patient's tumor, for example, physicians can tailor treatment strategies that are more effective for the individual. This shift toward personalized approaches marks a significant milestone in healthcare, as it moves away from the one-size-fits-all model.In addition to their applications in medicine, microarrays are also employed in agricultural biotechnology. Researchers use microarrays to study gene expression in crops, helping to identify traits such as disease resistance and stress tolerance. This information is crucial for developing improved crop varieties that can withstand environmental challenges and contribute to food security.Despite their numerous advantages, the use of microarrays is not without challenges. Data analysis can be complex, requiring specialized software and statistical expertise to interpret the results accurately. Additionally, the quality of the microarray itself can significantly impact the reliability of the data. Therefore, ongoing research aims to improve the design and functionality of microarrays to enhance their performance and usability.In conclusion, the microarray technology has become an indispensable tool in modern biology, offering a wealth of information about gene expression and regulation. Its applications span across various fields, including medicine and agriculture, making it a versatile and valuable resource for researchers. As technology continues to evolve, we can expect further innovations in microarray design and analysis, paving the way for new discoveries and advancements in our understanding of genetics.

在基因组学和分子生物学领域，术语微阵列指的是一种强大的技术，允许科学家同时研究成千上万基因的表达水平。微阵列由一个小玻璃滑片或硅芯片组成，上面点缀着微小的斑点，每个斑点包含特定的DNA序列。这些序列可以与来自样本的互补DNA或RNA进行杂交，使研究人员能够分析各种生物条件下的基因表达模式。微阵列的意义在于它们能够提供细胞内复杂相互作用的见解，帮助揭示癌症、糖尿病和心血管疾病等疾病的潜在机制。微阵列技术的发展彻底改变了我们对遗传研究的处理方式。传统上，研究单个基因的表达需要单独实验，这既耗时又昂贵。然而，通过使用微阵列，研究人员可以在一次实验中获得全面的基因表达谱。这种高通量能力不仅节省了时间，还允许发现新的生物标志物，可用于诊断和治疗。此外，微阵列促进了个性化医学的发展。通过分析患者肿瘤的基因表达模式，例如，医生可以量身定制更有效的治疗策略。这种向个性化方法的转变标志着医疗保健的重要里程碑，因为它摆脱了一刀切的模式。除了在医学中的应用外，微阵列还被用于农业生物技术。研究人员利用微阵列研究作物中的基因表达，帮助识别抗病性和抗逆境等特征。这些信息对于开发能够抵御环境挑战并促进粮食安全的改良作物品种至关重要。尽管有许多优点，微阵列的使用也面临挑战。数据分析可能很复杂，需要专业软件和统计专长来准确解释结果。此外，微阵列本身的质量会显著影响数据的可靠性。因此，持续的研究旨在改善微阵列的设计和功能，以增强其性能和可用性。总之，微阵列技术已成为现代生物学中不可或缺的工具，提供关于基因表达和调控的丰富信息。它的应用跨越医学和农业等多个领域，使其成为研究人员一个多功能和宝贵的资源。随着技术的不断发展，我们可以期待在微阵列设计和分析方面进一步的创新，为我们对遗传学的理解铺平道路，带来新的发现和进展。