Proteomics is in the early stages of development for forensic applications. It has been used in forensics for identification of tissue and body fluid, identification and quantification of protein toxins, human individualization, detection of protein drugs and hormones in sports, and estimation of post-mortem intervals.
1. Introduction
Proteomics is the study of proteomes (i.e., the total proteins of a given sample such as cultured cells, a tissue, or an organism) and their changes in response to environmental or physiological conditions
[1]. Proteomics identifies proteome profiles of samples, thereby revealing the biological status of the samples as well as their regulatory or disease mechanisms
[2]. Proteomics has been widely used to study microbiology, cell and molecular biology, plant sciences, marine sciences, food sciences, cancer, and immunology
[3][4]. The development of proteomics relies on a number of technologies and techniques, including liquid chromatography-tandem mass spectrometry (LC-MS/MS) and statistical and bioinformatics tools
[5][6].
Proteomics is a powerful approach for studying biological systems. Recent developments in LC-MS/MS have allowed rapid analyses of peptides and proteins in samples, which is comparable to next-generation sequencing (NGS). Compared with immunological methods that require antibodies and polymerase chain reaction (PCR) using specific primers, proteomics may reduce time and overall analysis costs. It does not depend on the development of new antibodies or primers for specific proteins
[7]. Proteomics enables the identification and quantification of various peptides and proteins in a single experiment with high specificity. Thus, it not only measures a large number of targets but also provides a holistic view of the physiological and biochemical states of given samples
[2]. A proteome profile, including proteins and their abundances, provides a better global picture of a sample than static DNA information. In other words, proteomics can determine biological processes that are occurring
[8].
While traditional gel-based proteomics is labor-intensive and time-consuming, the development of LC-MS/MS-based proteomics in the last two decades allows separation and analysis of thousands of peptides and proteins in several hours, which considerably increases the throughput of proteomics
[9][10]. It also possesses some advantages as compared with the well-established immunoassays, such as higher specificity and repeatability, reduced time, labor, and long-term cost, the ability of multiplexing. Particularly, proteomics can avoid the requirement of genetically tagged proteins and specific antibodies for each protein
[11]. In addition, the sample preparation workflow of proteomics can be automated using some liquid handling workstations. Most of the steps in bottom-up and top-down proteomics can be automated to increase precision, repeatability, and high-throughput performance
[12]. In biological forensics, DNA is undoubtedly effective for human identification from various sample types, such as blood, skin, urine, and hair. However, in some cases, DNA might not answer all questions relating to forensics, such as the biological fluid or tissue type of a sample. DNA in samples is sometimes unavailable or degraded, whereas proteins can persist and thus, can be analyzed instead
[13]. Proteins themselves are also the targeted biomolecules when analyzing protein toxins, protein drugs, and hormones. Therefore, proteomics can be a confirmatory and orthogonal technique for well-built DNA sequencing and an additional strategy to reveal other information. Currently, forensic proteomics is in the early stages of development. An increasing number of studies have used proteomics in forensics, such as identification of tissue and body fluid, identification and quantification of protein toxins, human individualization, detection of protein drugs and hormones in sports, and discrimination of wild strains and laboratory-adapted strains of bacteria
[7].
2. Development
Our current review aims to focus on a wide range of human samples used in forensic proteomics with updated findings from the literature. They include hair, bone, body fluids (blood, urine, semen, vaginal fluid, saliva), muscle, fingernail, muscle, brain, and fingermarks. These samples are different from each other in terms of sample amount, sample availability, and protein amount. The amount of sample collected may vary depending on the forensic contexts. Some samples may have relatively low amounts, such as hair, body fluids, tissues, and their traces in fingernail and fingermark. Protein amounts are different among samples. In sport doping, urine and blood can be used. Urine usually has low protein content as compared with that of blood; however, it is easily available. Some samples, such as bone, muscle, brain, and decomposition fluid might be only available from corpses. Human samples can be used for various forensic proteomic applications. Hair is a valuable sample for identifications of ethnic groups, gender, and individual
[14][15][16]. Urine and blood are being used to identify and quantify illegal peptides and small protein hormones for sport doping
[17]. Some samples, such as bone, muscle, brain, cerebrospinal fluid, and decomposition fluid are used to estimate post-mortem interval (PMI)
[18][19][20][21][22]. Fingernail and fingermark may contain traces of body fluids and tissues and thus, be used for their identification
[23][24]. summarizes some applications of proteomics in forensics using different types of human samples.
This entry presents an overview of proteomics in forensic analysis, with a particular focus on applications in human samples. We introduce general proteomics methods that are applied in forensic studies, including sample preparation techniques, data acquisition using LC-MS/MS, and data analysis using database search, spectral library search, and de novo sequencing. Notably, we summarize recent applications in the past decade of forensic proteomics that use human samples for analysis, such as hair, bone, body fluids, muscle, fingernail, brain, blood, and fingermarks.
This entry is adapted from the peer-reviewed paper 10.3390/app11083393