Applied Sciences2021Open Access

Proteomics in Forensic Analysis: Applications for Human Samples

Van‐An Duong, Jong‐Moon Park, Hee–Joung Lim et al.

50 citations2021Open Access — see publisher for license terms1 related compound

Research Article — Peer-Reviewed Source

Original research published by Duong et al. in Applied Sciences. Redistributed under Open Access — see publisher for license terms. MedTech Research Group provides these references for informational purposes. We do not conduct original research. All studies are the work of their respective authors and institutions.

Abstract

Proteomics, the large-scale study of all proteins of an organism or system, is a powerful tool for studying biological systems. It can provide a holistic view of the physiological and biochemical states of given samples through identification and quantification of large numbers of peptides and proteins. In forensic science, proteomics can be used as a confirmatory and orthogonal technique for well-built genomic analyses. Proteomics is highly valuable in cases where nucleic acids are absent or degraded, such as hair and bone samples. It can be used to identify body fluids, ethnic group, gender, individual, and estimate post-mortem interval using bone, muscle, and decomposition fluid samples. Compared to genomic analysis, proteomics can provide a better global picture of a sample. It has been used in forensic science for a wide range of sample types and applications. In this review, we briefly introduce proteomic methods, including sample preparation techniques, data acquisition using liquid chromatography-tandem mass spectrometry, and data analysis using database search, spectral library search, and de novo sequencing. We also summarize recent applications in the past decade of proteomics in forensic science with a special focus on human samples, including hair, bone, body fluids, fingernail, muscle, brain, and fingermark, and address the challenges, considerations, and future developments of forensic proteomics.

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Article Details
DOI10.3390/app11083393
JournalApplied Sciences
Year2021
AuthorsVan‐An Duong, Jong‐Moon Park, Hee–Joung Lim, Hookeun Lee
LicenseOpen Access — see publisher for license terms
Citations50