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Procopio N, Bonicelli A. From flesh to bones: Multi-omics approaches in forensic science. Proteomics 2024; 24:e2200335. [PMID: 38683823 DOI: 10.1002/pmic.202200335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 03/12/2024] [Accepted: 03/26/2024] [Indexed: 05/02/2024]
Abstract
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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Affiliation(s)
- Noemi Procopio
- Research Centre for Field Archaeology and Experimental Taphonomy, School of Law and Policing, University of Central Lancashire, Preston, UK
| | - Andrea Bonicelli
- Research Centre for Field Archaeology and Experimental Taphonomy, School of Law and Policing, University of Central Lancashire, Preston, UK
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2
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Zhang Z, Wallace WE, Wang G, Burke MC, Liu Y, Sheetlin SL, Stein SE. Improved Sample Preparation Method for Protein and Peptide Identification from Human Hair. J Proteome Res 2024; 23:409-417. [PMID: 38009783 PMCID: PMC10829973 DOI: 10.1021/acs.jproteome.3c00627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
A fast and sensitive direct extraction (DE) method developed in our group can efficiently extract proteins in 30 min from a 5 cm-long hair strand. Previously, we coupled DE to downstream analysis using gel electrophoresis followed by in-gel digestion, which can be time-consuming. In searching for a better alternative, we found that a combination of DE with a bead-based method (SP3) can lead to significant improvements in protein discovery in human hair. Since SP3 is designed for general applications, we optimized it to process hair proteins following DE and compared it to several other in-solution digestion methods. Of particular concern are genetically variant peptides (GVPs), which can be used for human identification in forensic analysis. Here, we demonstrated improved GVP discovery with the DE and SP3 workflow, which was 3 times faster than the previous in-gel digestion method and required significantly less instrument time depending on the number of gel slices processed. Additionally, it led to an increased number of identified proteins and GVPs. Among the tested in-solution digestion methods, DE combined with SP3 showed the highest sequence coverage, with higher abundances of the identified peptides. This provides a significantly enhanced means for identifying proteins and GVPs in human hair.
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Affiliation(s)
- Zheng Zhang
- Mass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899 USA
| | - William E. Wallace
- Mass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899 USA
| | - Guanghui Wang
- Mass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899 USA
| | - Meghan C. Burke
- Mass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899 USA
| | - Yi Liu
- Mass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899 USA
| | - Sergey L. Sheetlin
- Mass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899 USA
| | - Stephen E. Stein
- Mass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899 USA
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3
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Verscheure E, Stierum R, Schlünssen V, Lund Würtz AM, Vanneste D, Kogevinas M, Harding BN, Broberg K, Zienolddiny-Narui S, Erdem JS, Das MK, Makris KC, Konstantinou C, Andrianou X, Dekkers S, Morris L, Pronk A, Godderis L, Ghosh M. Characterization of the internal working-life exposome using minimally and non-invasive sampling methods - a narrative review. ENVIRONMENTAL RESEARCH 2023; 238:117001. [PMID: 37683788 DOI: 10.1016/j.envres.2023.117001] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023]
Abstract
During recent years, we are moving away from the 'one exposure, one disease'-approach in occupational settings and towards a more comprehensive approach, taking into account the totality of exposures during a life course by using an exposome approach. Taking an exposome approach however is accompanied by many challenges, one of which, for example, relates to the collection of biological samples. Methods used for sample collection in occupational exposome studies should ideally be minimally invasive, while at the same time sensitive, and enable meaningful repeated sampling in a large population and over a longer time period. This might be hampered in specific situations e.g., people working in remote areas, during pandemics or with flexible work hours. In these situations, using self-sampling techniques might offer a solution. Therefore, our aim was to identify existing self-sampling techniques and to evaluate the applicability of these techniques in an occupational exposome context by conducting a literature review. We here present an overview of current self-sampling methodologies used to characterize the internal exposome. In addition, the use of different biological matrices was evaluated and subdivided based on their level of invasiveness and applicability in an occupational exposome context. In conclusion, this review and the overview of self-sampling techniques presented herein can serve as a guide in the design of future (occupational) exposome studies while circumventing sample collection challenges associated with exposome studies.
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Affiliation(s)
- Eline Verscheure
- Department of Public Health and Primary Care, Centre for Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Rob Stierum
- Netherlands Organisation for Applied Scientific Research TNO, Risk Analysis for Products in Development, Utrecht, the Netherlands
| | - Vivi Schlünssen
- Department of Public Health, Research unit for Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Anne Mette Lund Würtz
- Department of Public Health, Research unit for Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Dorian Vanneste
- Department of Public Health and Primary Care, Centre for Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Manolis Kogevinas
- Environment and Health over the Lifecourse Program, ISGlobal, Barcelona, Spain
| | - Barbara N Harding
- Environment and Health over the Lifecourse Program, ISGlobal, Barcelona, Spain
| | - Karin Broberg
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | | | - Mrinal K Das
- National Institute of Occupational Health, Oslo, Norway
| | - Konstantinos C Makris
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Corina Konstantinou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Xanthi Andrianou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Susan Dekkers
- Netherlands Organisation for Applied Scientific Research TNO, Risk Analysis for Products in Development, Utrecht, the Netherlands
| | | | - Anjoeka Pronk
- Netherlands Organisation for Applied Scientific Research TNO, Risk Analysis for Products in Development, Utrecht, the Netherlands
| | - Lode Godderis
- Department of Public Health and Primary Care, Centre for Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium; Idewe, External Service for Prevention and Protection at work, Heverlee, Belgium.
| | - Manosij Ghosh
- Department of Public Health and Primary Care, Centre for Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium.
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4
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Sundberg JP, Rice RH. Phenotyping mice with skin, hair, or nail abnormalities: A systematic approach and methodologies from simple to complex. Vet Pathol 2023; 60:829-842. [PMID: 37191004 DOI: 10.1177/03009858231170329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
The skin and adnexa can be difficult to interpret because they change dramatically with the hair cycle throughout life. However, a variety of methods are commonly available to collect skin and perform assays that can be useful for figuring out morphological and molecular changes. This overview provides information on basic approaches to evaluate skin and its molecular phenotype, with references for more detail, and interpretation of results on the skin and adnexa in the mouse. These approaches range from mouse genetic nomenclature, setting up a cutaneous phenotyping study, skin grafts, hair follicle reconstitution, wax stripping, electron microscopy, and Köbner reaction to very specific approaches such as lipid and protein analyses on a large scale.
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Affiliation(s)
- John P Sundberg
- The Jackson Laboratory, Bar Harbor, ME
- Vanderbilt University Medical Center, Nashville, TN
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5
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Liu Z, Simayijiang H, Wang Q, Yang J, Sun H, Wu R, Yan J. DNA and protein analyses of hair in forensic genetics. Int J Legal Med 2023; 137:613-633. [PMID: 36732435 DOI: 10.1007/s00414-023-02955-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 01/20/2023] [Indexed: 02/04/2023]
Abstract
Hair is one of the most common pieces of biological evidence found at a crime scene and plays an essential role in forensic investigation. Hairs, especially non-follicular hairs, are usually found at various crime scenes, either by natural shedding or by forcible shedding. However, the genetic material in hairs is usually highly degraded, which makes forensic analysis difficult. As a result, the value of hair has not been fully exploited in forensic investigations and trials. In recent years, with advances in molecular biology, forensic analysis of hair has achieved remarkable strides and provided crucial clues in numerous cases. This article reviews recent developments in DNA and protein analysis of hair and attempts to provide a comprehensive solution to improve forensic hair analysis.
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Affiliation(s)
- Zhiyong Liu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, 510080, People's Republic of China
| | - Halimureti Simayijiang
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, Shanxi, 030600, People's Republic of China
| | - Qiangwei Wang
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, 510080, People's Republic of China
| | - Jingyi Yang
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, 510080, People's Republic of China
| | - Hongyu Sun
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, 510080, People's Republic of China.,Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, 510080, People's Republic of China
| | - Riga Wu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, 510080, People's Republic of China. .,Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, 510080, People's Republic of China.
| | - Jiangwei Yan
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, Shanxi, 030600, People's Republic of China.
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6
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Deep coverage proteome analysis of hair shaft for forensic individual identification. Forensic Sci Int Genet 2022; 60:102742. [DOI: 10.1016/j.fsigen.2022.102742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 06/13/2022] [Accepted: 06/15/2022] [Indexed: 11/18/2022]
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7
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Sijen T, Harbison S. On the Identification of Body Fluids and Tissues: A Crucial Link in the Investigation and Solution of Crime. Genes (Basel) 2021; 12:1728. [PMID: 34828334 PMCID: PMC8617621 DOI: 10.3390/genes12111728] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 10/26/2021] [Accepted: 10/26/2021] [Indexed: 12/13/2022] Open
Abstract
Body fluid and body tissue identification are important in forensic science as they can provide key evidence in a criminal investigation and may assist the court in reaching conclusions. Establishing a link between identifying the fluid or tissue and the DNA profile adds further weight to this evidence. Many forensic laboratories retain techniques for the identification of biological fluids that have been widely used for some time. More recently, many different biomarkers and technologies have been proposed for identification of body fluids and tissues of forensic relevance some of which are now used in forensic casework. Here, we summarize the role of body fluid/ tissue identification in the evaluation of forensic evidence, describe how such evidence is detected at the crime scene and in the laboratory, elaborate different technologies available to do this, and reflect real life experiences. We explain how, by including this information, crucial links can be made to aid in the investigation and solution of crime.
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Affiliation(s)
- Titia Sijen
- Division Human Biological Traces, Netherlands Forensic Institute, Laan van Ypenburg 6, 2497 GB The Hague, The Netherlands
- Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands
| | - SallyAnn Harbison
- Institute of Environmental Science and Research Limited, Private Bag 92021, Auckland 1142, New Zealand;
- Department of Statistics, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
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8
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Goecker ZC, Legg KM, Salemi MR, Herren AW, Phinney BS, McKiernan HE, Parker GJ. Alternative LC-MS/MS Platforms and Data Acquisition Strategies for Proteomic Genotyping of Human Hair Shafts. J Proteome Res 2021; 20:4655-4666. [PMID: 34491751 DOI: 10.1021/acs.jproteome.1c00209] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Protein is a major component of all biological evidence. Proteomic genotyping is the use of genetically variant peptides (GVPs) that contain single-amino-acid polymorphisms to infer the genotype of matching nonsynonymous single-nucleotide polymorphisms for the individual from whom the protein sample originated. This can be used to statistically associate an individual to evidence found at a crime scene. The utility of the inferred genotype increases as the detection of GVPs increases, which is the direct result of technology transfer to mass spectrometry platforms typically available. Digests of single (2 cm) human hair shafts from three European and two African subjects were analyzed using data-dependent acquisition on a Q-Exactive Plus Hybrid Quadrupole-Orbitrap system, data-independent acquisition and a variant of parallel reaction monitoring (PRM) on an Orbitrap Fusion Lumos Tribrid system, and multiple reaction monitoring (MRM) on an Agilent 6495 triple quadrupole system. In our hands, average GVP detection from a selected panel of 24 GVPs increased from 6.5 ± 1.1 and 3.1 ± 0.8 using data-dependent and -independent acquisition to 9.5 ± 0.7 and 11.7 ± 1.7 using PRM and MRM (p < 0.05), respectively. PRM resulted in a 1.3-fold increase in detection sensitivity, and MRM resulted in a 1.6-fold increase in detection sensitivity. This increase in biomarker detection has a functional impact on the statistical association of a protein sample and an individual. Increased biomarker sensitivity, using Markov Chain Monte Carlo modeling, produced a median-estimated random match probability of over 1 in 10 trillion from a single hair using targeted proteomics. For PRM and MRM, detected GVPs were validated by the inclusion of stable isotope-labeled peptides in each sample, which served also as a detection trigger. This research accomplishes two aims: the demonstration of utility for alternative analytical platforms in proteomic genotyping and the establishment of validation methods for the evaluation of inferred genotypes.
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Affiliation(s)
- Zachary C Goecker
- Department of Environmental Toxicology, University of California, Davis, California 95616, United States
| | - Kevin M Legg
- The Center for Forensic Science Research and Education, Willow Grove, Pennsylvania 19090, United States
| | - Michelle R Salemi
- Proteomics Core Facility, University of California, Davis, California 95616, United States
| | - Anthony W Herren
- Proteomics Core Facility, University of California, Davis, California 95616, United States
| | - Brett S Phinney
- Proteomics Core Facility, University of California, Davis, California 95616, United States
| | - Heather E McKiernan
- The Center for Forensic Science Research and Education, Willow Grove, Pennsylvania 19090, United States
| | - Glendon J Parker
- Department of Environmental Toxicology, University of California, Davis, California 95616, United States
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9
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Karim N, Plott TJ, Durbin-Johnson BP, Rocke DM, Salemi M, Phinney BS, Goecker ZC, Pieterse MJM, Parker GJ, Rice RH. Elucidation of familial relationships using hair shaft proteomics. Forensic Sci Int Genet 2021; 54:102564. [PMID: 34315035 DOI: 10.1016/j.fsigen.2021.102564] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 07/08/2021] [Accepted: 07/14/2021] [Indexed: 01/01/2023]
Abstract
This study examines the potential of hair shaft proteomic analysis to delineate genetic relatedness. Proteomic profiling and amino acid sequence analysis provide information for quantitative and statistically-based analysis of individualization and sample similarity. Protein expression levels are a function of cell-specific transcriptional and translational programs. These programs are greatly influenced by an individual's genetic background, and are therefore influenced by familial relatedness as well as ancestry and genetic disease. Proteomic profiles should therefore be more similar among related individuals than unrelated individuals. Likewise, profiles of genetically variant peptides that contain single amino acid polymorphisms, the result of non-synonymous SNP alleles, should behave similarly. The proteomically-inferred SNP alleles should also provide a basis for calculation of combined paternity and sibship indices. We test these hypotheses using matching proteomic and genetic datasets from a family of two adults and four siblings, one of which has a genetic condition that perturbs hair structure and properties. We demonstrate that related individuals, compared to those who are unrelated, have more similar proteomic profiles, profiles of genetically variant peptides and higher combined paternity indices and combined sibship indices. This study builds on previous analyses of hair shaft protein profiling and genetically variant peptide profiles in different real-world scenarios including different human hair shaft body locations and pigmentation status. It also validates the inclusion of proteomic information with other biomolecular substrates in forensic hair shaft analysis, including mitochondrial and nuclear DNA.
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Affiliation(s)
- Noreen Karim
- Department of Environmental Toxicology, University of California, Davis, USA
| | - Tempest J Plott
- Department of Environmental Toxicology, University of California, Davis, USA; Forensic Science Program, University of California, Davis, USA
| | - Blythe P Durbin-Johnson
- Division of Biostatistics, Department of Public Health Sciences, Clinical and Translational, Science Center Biostatistics Core, University of California, Davis, USA
| | - David M Rocke
- Division of Biostatistics, Department of Public Health Sciences, Clinical and Translational, Science Center Biostatistics Core, University of California, Davis, USA
| | - Michelle Salemi
- Proteomics Core Facility, University of California, Davis, USA
| | - Brett S Phinney
- Proteomics Core Facility, University of California, Davis, USA
| | - Zachary C Goecker
- Department of Environmental Toxicology, University of California, Davis, USA
| | - Marc J M Pieterse
- Department of Environmental Toxicology, University of California, Davis, USA
| | - Glendon J Parker
- Department of Environmental Toxicology, University of California, Davis, USA; Forensic Science Program, University of California, Davis, USA
| | - Robert H Rice
- Department of Environmental Toxicology, University of California, Davis, USA; Forensic Science Program, University of California, Davis, USA
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10
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McKiernan HE, Danielson PB, Brown CO, Signaevsky M, Westring CG, Legg KM. Developmental validation of a multiplex proteomic assay for the identification of forensically relevant biological fluids. Forensic Sci Int 2021; 326:110908. [PMID: 34311288 DOI: 10.1016/j.forsciint.2021.110908] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 06/30/2021] [Accepted: 07/12/2021] [Indexed: 11/16/2022]
Abstract
The aim of this study was to validate a multiplex proteomic assay for the identification of high-specificity protein biomarkers by multiple reaction monitoring mass spectrometry on a triple quadrupole mass spectrometer for the accurate, reliable, and confirmatory identification of bodily fluids commonly encountered in a forensic context. This includes the identification of peripheral blood, semen, saliva, urine, and vaginal/menstrual fluid. The assay is able to efficiently identify pure or mixed stains through the identification of target peptide fragments originating from tissue-specific proteins including: uromodulin from urine; prostatic acid phosphatase, prostate specific antigen and semenogelin-II for semen; statherin, submaxillary gland androgen-regulated protein 3B and amylase for saliva; cornulin, martrigel-induced gene C4 protein, suprabasin and neutrophil gelatinase-associated lipocalin for vaginal/menstrual fluid; and alpha-1 antitrypsin, hemopexin, and hemoglobin subunit beta for peripheral blood. Based on the results of the developmental validation studies which included an assessment of reproducibility and repeatability, sensitivity, species specificity, carryover, mixtures, as well as a series of casework type samples. Only a small selection of case samples was unable to unambiguously identify the target fluid including urine recovered from substrates as well as semen when mixed with personal lubricants. Overall, the mass spectrometry-based workflow offers significant advantages compared to existing serological methods.
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Affiliation(s)
- Heather E McKiernan
- Department of Chemistry and Physics, Arcadia University, Glenside, PA 19038, USA
| | - Phillip B Danielson
- The Center for Forensic Science Research & Education, Willow Grove, PA 19090, USA; The University of Denver, Department of Biological Sciences, Denver, CO 80208, USA
| | - Catherine O Brown
- The Center for Forensic Science Research & Education, Willow Grove, PA 19090, USA; The University of Denver, Department of Biological Sciences, Denver, CO 80208, USA
| | - Masha Signaevsky
- Department of Chemistry and Physics, Arcadia University, Glenside, PA 19038, USA
| | - Christian G Westring
- Purdue University Northwest, Center for Crime, Forensics, and Security Analysis, Hammond, IN 46323, USA
| | - Kevin M Legg
- The Center for Forensic Science Research & Education, Willow Grove, PA 19090, USA.
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11
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Rosenberg AM, Rausser S, Ren J, Mosharov EV, Sturm G, Ogden RT, Patel P, Kumar Soni R, Lacefield C, Tobin DJ, Paus R, Picard M. Quantitative mapping of human hair greying and reversal in relation to life stress. eLife 2021; 10:67437. [PMID: 34155974 PMCID: PMC8219384 DOI: 10.7554/elife.67437] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 05/12/2021] [Indexed: 12/12/2022] Open
Abstract
Background: Hair greying is a hallmark of aging generally believed to be irreversible and linked to psychological stress. Methods: Here, we develop an approach to profile hair pigmentation patterns (HPPs) along individual human hair shafts, producing quantifiable physical timescales of rapid greying transitions. Results: Using this method, we show white/grey hairs that naturally regain pigmentation across sex, ethnicities, ages, and body regions, thereby quantitatively defining the reversibility of greying in humans. Molecularly, grey hairs upregulate proteins related to energy metabolism, mitochondria, and antioxidant defenses. Combining HPP profiling and proteomics on single hairs, we also report hair greying and reversal that can occur in parallel with psychological stressors. To generalize these observations, we develop a computational simulation, which suggests a threshold-based mechanism for the temporary reversibility of greying. Conclusions: Overall, this new method to quantitatively map recent life history in HPPs provides an opportunity to longitudinally examine the influence of recent life exposures on human biology. Funding: This work was supported by the Wharton Fund and NIH grants GM119793, MH119336, and AG066828 (MP). Hair greying is a visible sign of aging that affects everyone. The loss of hair color is due to the loss of melanin, a pigment found in the skin, eyes and hair. Research in mice suggests stress may accelerate hair greying, but there is no definitive research on this in humans. This is because there are no research tools to precisely map stress and hair color over time. But, just like tree rings hold information about past decades, and rocks hold information about past centuries, hairs hold information about past months and years. Hair growth is an active process that happens under the skin inside hair follicles. It demands lots of energy, supplied by structures inside cells called mitochondria. While hairs are growing, cells receive chemical and electrical signals from inside the body, including stress hormones. It is possible that these exposures change proteins and other molecules laid down in the growing hair shaft. As the hair grows out of the scalp, it hardens, preserving these molecules into a stable form. This preservation is visible as patterns of pigmentation. Examining single-hairs and matching the patterns to life events could allow researchers to look back in time through a person’s biological history. Rosenberg et al. report a new way to digitize and measure small changes in color along single human hairs. This method revealed that some white hairs naturally regain their color, something that had not been reported in a cohort of healthy individuals before. Aligning the hair pigmentation patterns with recent reports of stress in the hair donors’ lives showed striking associations. When one donor reported an increase in stress, a hair lost its pigment. When the donor reported a reduction in stress, the same hair regained its pigment. Rosenberg et al. mapped hundreds of proteins inside the hairs to show that white hairs contained more proteins linked to mitochondria and energy use. This suggests that metabolism and mitochondria may play a role in hair greying. To explore these observations in more detail Rosenberg et al. developed a mathematical model that simulates the greying of a whole head of hair over a lifetime, an experiment impossible to do with living people. The model suggested that there might be a threshold for temporary greying; if hairs are about to go grey anyway, a stressful event might trigger that change earlier. And when the stressful event ends, if a hair is just above the threshold, then it could revert back to dark. The new method for measuring small changes in hair coloring opens up the possibility of using hair pigmentation patterns like tree rings. This could track the influence of past life events on human biology. In the future, monitoring hair pigmentation patterns could provide a way to trace the effectiveness of treatments aimed at reducing stress or slowing the aging process. Understanding how ‘old’ white hairs regain their ‘young’ pigmented state could also reveal new information about the malleability of human aging more generally.
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Affiliation(s)
- Ayelet M Rosenberg
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, United States
| | - Shannon Rausser
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, United States
| | - Junting Ren
- Department of Biostatistics, Mailman School of Public Health, Columbia University Irving Medical Center, New York, United States
| | - Eugene V Mosharov
- Department of Psychiatry, Division of Molecular Therapeutics, Columbia University Irving Medical Center, New York, United States.,New York State Psychiatric Institute, New York, United States
| | - Gabriel Sturm
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, United States
| | - R Todd Ogden
- Department of Biostatistics, Mailman School of Public Health, Columbia University Irving Medical Center, New York, United States
| | - Purvi Patel
- Proteomics and Macromolecular Crystallography Shared Resource, Columbia University Irving Medical Center, New York, United States
| | - Rajesh Kumar Soni
- Proteomics and Macromolecular Crystallography Shared Resource, Columbia University Irving Medical Center, New York, United States
| | - Clay Lacefield
- New York State Psychiatric Institute, New York, United States
| | - Desmond J Tobin
- UCD Charles Institute of Dermatology & UCD Conway Institute, School of Medicine, University College Dublin, Dublin, Ireland
| | - Ralf Paus
- Dr. Phillip Frost Department of Dermatology & Cutaneous Surgery, University of Miami Miller School of Medicine, Miami, United States.,Centre for Dermatology Research, University of Manchester, Manchester, United Kingdom.,Monasterium Laboratory, Münster, Germany
| | - Martin Picard
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, United States.,New York State Psychiatric Institute, New York, United States.,Department of Neurology, H. Houston Merritt Center, Columbia Translational Neuroscience Initiative, Columbia University Irving Medical Center, New York, United States
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Burrill J, Hotta R, Daniel B, Frascione N. Accumulation of endogenous and exogenous nucleic acids in "Touch DNA" components on hands. Electrophoresis 2021; 42:1594-1604. [PMID: 34080688 DOI: 10.1002/elps.202000371] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 05/07/2021] [Accepted: 05/20/2021] [Indexed: 02/03/2023]
Abstract
Successful forensic DNA profiling from handled items is increasingly routine in casework. This "touch DNA" is thought to contain both cellular and acellular nucleic acid sources. However, there is little clarity on the origins or characteristics of this material. The cellular component consists of anucleate, terminally differentiated corneocytes (assumed to lack DNA), and the occasional nucleated cell. The acellular DNA source is fragmentary, presumably cell breakdown products. This study examines the relative contributions each component makes to the hand-secretions (endogenous) and hand-accumulations (exogenous) by recovering rinses from the inside and outside of worn gloves. Additionally, cellular and acellular DNA was measured at timepoints up to 2 h after hand washing, both with and without interim contact. Microscopic examination confirmed cell morphology and presence of nucleic acids. Following the novel application of a hair keratinocyte lysis method and plasma-DNA fragment purification to hand rinse samples, DNA profiles were generated from both fractions. Exogenous cell-free DNA is shown to be a significant source of touch DNA, which reaccumulates quickly, although its amplifiable nuclear alleles are limited. Endogenous DNA is mostly cellular in origin and provides more allelic information consistently over time.
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Affiliation(s)
- Julia Burrill
- King's Forensics, Department of Analytical, Environmental & Forensic Sciences, School of Population Health & Environmental Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Rachel Hotta
- King's Forensics, Department of Analytical, Environmental & Forensic Sciences, School of Population Health & Environmental Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Barbara Daniel
- King's Forensics, Department of Analytical, Environmental & Forensic Sciences, School of Population Health & Environmental Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Nunzianda Frascione
- King's Forensics, Department of Analytical, Environmental & Forensic Sciences, School of Population Health & Environmental Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
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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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Solazzo C, Soulat J, Cleland T. Creation of a peptide database of corneous beta-proteins of marine turtles for the identification of tortoiseshell: archaeological combs as case study. ROYAL SOCIETY OPEN SCIENCE 2021; 8:201857. [PMID: 33972868 PMCID: PMC8074788 DOI: 10.1098/rsos.201857] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 02/02/2021] [Indexed: 06/12/2023]
Abstract
Tortoiseshell is a proteinaceous material derived from the scutes of marine turtles, and was shaped into an abundance of objects, especially luxurious items, at its peak in the seventeenth and eighteenth century. It has continued to be used even after the advent of plastics and remains one of the main causes of illegal poaching of marine turtles, in particular the hawksbill turtle Eretmochelys imbricata. Tortoiseshell is made of structural proteins, of which the most abundant are known as β-keratins, or 'corneous beta-proteins' (CBPs), a family of short proteins containing a central structure in β-sheets. There are, however, few CBP sequences of marine turtles in protein databases. The scutes of the five main species of marine turtles (Chelonia mydas, Caretta caretta, Eretmochelys imbricata, Lepidochelys olivacea and Lepidochelys kempii) were analysed by proteomics, using nano-liquid chromatography-Orbitrap-mass spectrometry to generate peptidic markers for species identification. A total of 187 marker sequences were identified, the large majority of them obtained from automated de novo sequencing. The sequences were classified into peptides A to F: A to D at the N-terminus and central region that forms the β-pleated sheets, E1-4 for a variable region of glycine-repeats region and F at the C-terminus. The markers were tested against a set of combs discovered in various archaeological sites of modern period in France, successfully identifying hawksbill turtle and highlighting patterns of degradation in archaeological tortoiseshell.
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Affiliation(s)
- Caroline Solazzo
- Smithsonian's Museum Conservation Institute, 4210 Silver Hill Road, Suitland, MD 20746, USA
| | - Jean Soulat
- LandArc Laboratory, 5, rue Victor Chevin, 77920 Samois-sur-Seine, France
| | - Timothy Cleland
- Smithsonian's Museum Conservation Institute, 4210 Silver Hill Road, Suitland, MD 20746, USA
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