About: Postmortem proteomics to discover biomarkers for forensic PMI estimation

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About: Postmortem proteomics to discover biomarkers for forensic PMI estimation Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Postmortem proteomics to discover biomarkers for forensic PMI estimation
Creator	Kim, Jin Cho, Eunji Choi, Kyoung-Min Chung, Heesun Ehrenfellner, Bianca Hwan Shin, Jong Kim, Eunjung Kim, Jae-Young Lee, Se-In Monticelli, Fabio Pittner, Stefan Steinbacher, Peter Stoiber, Walter Yun, Ki Zissler, Angela
Source	PMC
abstract	The assessment of postmortem degradation of skeletal muscle proteins has emerged as a novel approach to estimate the time since death in the early to mid-postmortem phase (approximately 24 h postmortem (hpm) to 120 hpm). Current protein-based methods are limited to a small number of skeletal muscle proteins, shown to undergo proteolysis after death. In this study, we investigated the usability of a target-based and unbiased system-wide protein analysis to gain further insights into systemic postmortem protein alterations and to identify additional markers for postmortem interval (PMI) delimitation. We performed proteomic profiling to globally analyze postmortem alterations of the rat and mouse skeletal muscle proteome at defined time points (0, 24, 48, 72, and 96 hpm), harnessing a mass spectrometry-based quantitative proteomics approach. Hierarchical clustering analysis for a total of 579 (rat) and 896 (mouse) quantified proteins revealed differentially expressed proteins during the investigated postmortem period. We further focused on two selected proteins (eEF1A2 and GAPDH), which were shown to consistently degrade postmortem in both rat and mouse, suggesting conserved intra- and interspecies degradation behavior, and thus preserved association with the PMI and possible transferability to humans. In turn, we validated the usefulness of these new markers by classical Western blot experiments in a rat model and in human autopsy cases. Our results demonstrate the feasibility of mass spectrometry–based analysis to discover novel protein markers for PMI estimation and show that the proteins eEF1A2 and GAPDH appear to be valuable markers for PMI estimation in humans. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00414-019-02011-6) contains supplementary material, which is available to authorized users.
has issue date	2019-03-12(xsd:dateTime)
bibo:doi	10.1007/s00414-019-02011-6
bibo:pmid	30864069
has license	no-cc
sha1sum (hex)	560a66aec9d291b5499f83ae8b7ee04273230abd
schema:url	https://doi.org/10.1007/s00414-019-02011-6
resource representing a document's title	Postmortem proteomics to discover biomarkers for forensic PMI estimation
has PubMed Central identifier	PMC6469664
has PubMed identifier	30864069
schema:publication	Int J Legal Med
resource representing a document's body	covid:560a66aec9d291b5499f83ae8b7ee04273230abd#body_text
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