变革临床研究:高通量 Omics 整合的力量。

IF 4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Rui Vitorino
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引用次数: 0

摘要

高通量组学技术极大地改变了生物学研究,为了解生命系统的复杂性提供了前所未有的洞察力。这篇综述全面审视了当前高通量整体组学流水线的状况,涵盖了关键技术、数据整合技术及其各种应用。它审视了新一代测序、质谱分析和微阵列平台的进展,并强调了它们对数据量和精度的贡献。此外,这篇综述还探讨了生物信息学工具和统计方法在管理这些技术产生的大型数据集方面的关键作用。通过整合多组学数据,研究人员可以全面了解生物系统,从而确定新的生物标记物和治疗目标,尤其是在癌症等复杂疾病中。这篇综述还探讨了将 omics 数据整合到电子健康记录 (EHR) 中的问题,以及云计算和大数据分析在改善数据存储、分析和共享方面的潜力。尽管取得了重大进展,但仍存在数据复杂性、技术限制和伦理问题等挑战。未来的方向包括开发更复杂的计算工具和应用先进的机器学习技术,这对于解决omics 数据集的复杂性和异质性至关重要。本综述旨在为研究人员和从业人员提供有价值的资源,强调高通量 omics 技术在推进个性化医疗和改善临床结果方面的变革潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transforming Clinical Research: The Power of High-Throughput Omics Integration.

High-throughput omics technologies have dramatically changed biological research, providing unprecedented insights into the complexity of living systems. This review presents a comprehensive examination of the current landscape of high-throughput omics pipelines, covering key technologies, data integration techniques and their diverse applications. It looks at advances in next-generation sequencing, mass spectrometry and microarray platforms and highlights their contribution to data volume and precision. In addition, this review looks at the critical role of bioinformatics tools and statistical methods in managing the large datasets generated by these technologies. By integrating multi-omics data, researchers can gain a holistic understanding of biological systems, leading to the identification of new biomarkers and therapeutic targets, particularly in complex diseases such as cancer. The review also looks at the integration of omics data into electronic health records (EHRs) and the potential for cloud computing and big data analytics to improve data storage, analysis and sharing. Despite significant advances, there are still challenges such as data complexity, technical limitations and ethical issues. Future directions include the development of more sophisticated computational tools and the application of advanced machine learning techniques, which are critical for addressing the complexity and heterogeneity of omics datasets. This review aims to serve as a valuable resource for researchers and practitioners, highlighting the transformative potential of high-throughput omics technologies in advancing personalized medicine and improving clinical outcomes.

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来源期刊
Proteomes
Proteomes Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry
CiteScore
6.50
自引率
3.00%
发文量
37
审稿时长
11 weeks
期刊介绍: Proteomes (ISSN 2227-7382) is an open access, peer reviewed journal on all aspects of proteome science. Proteomes covers the multi-disciplinary topics of structural and functional biology, protein chemistry, cell biology, methodology used for protein analysis, including mass spectrometry, protein arrays, bioinformatics, HTS assays, etc. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, there is no restriction on the length of papers. Scope: -whole proteome analysis of any organism -disease/pharmaceutical studies -comparative proteomics -protein-ligand/protein interactions -structure/functional proteomics -gene expression -methodology -bioinformatics -applications of proteomics
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