从肉到骨:法医学中的多组学方法

IF 3.4 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Proteomics Pub Date : 2024-04-29 DOI:10.1002/pmic.202200335
Noemi Procopio, Andrea Bonicelli
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引用次数: 0

摘要

最近,omics 技术的进步彻底改变了生物系统的研究,使高通量生物分子数据的生成成为可能。这些创新成果的应用领域十分广泛,从个性化医疗到法医学,不一而足。虽然通过整合各种 omics 方法(如基因组学、表观基因组学、元基因组学、转录物组学、蛋白质组学和代谢组学)对细胞、组织或整个生物体的多个方面进行研究已在生物医学和癌症生物学等领域得到确立,但其在法医学中的全部潜力仍只得到了部分发掘。在这篇综述中,我们全面概述了 omics 研究中使用的最先进分析平台,并特别强调了它们在法医领域中的应用,以鉴定尸体和死因。此外,我们还对 omics 方法的计算整合进行了批判性分析,并重点介绍了在法医调查中采用多组学技术的最新进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

From flesh to bones: Multi-omics approaches in forensic science

From flesh to bones: Multi-omics approaches in forensic science

Recent advancements in omics techniques have revolutionised the study of biological systems, enabling the generation of high-throughput biomolecular data. These innovations have found diverse applications, ranging from personalised medicine to forensic sciences. While the investigation of multiple aspects of cells, tissues or entire organisms through the integration of various omics approaches (such as genomics, epigenomics, metagenomics, transcriptomics, proteomics and metabolomics) has already been established in fields like biomedicine and cancer biology, its full potential in forensic sciences remains only partially explored. In this review, we have presented a comprehensive overview of state-of-the-art analytical platforms employed in omics research, with specific emphasis on their application in the forensic field for the identification of the cadaver and the cause of death. Moreover, we have conducted a critical analysis of the computational integration of omics approaches, and highlighted the latest advancements in employing multi-omics techniques for forensic investigations.

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来源期刊
Proteomics
Proteomics 生物-生化研究方法
CiteScore
6.30
自引率
5.90%
发文量
193
审稿时长
3 months
期刊介绍: PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.
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