FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017397961> ?p ?o ?g. }

• W2017397961 endingPage "105" @default.
• W2017397961 startingPage "99" @default.
• W2017397961 abstract "The usefulness of post-mortem mRNA analysis and its potential applications in forensic casework is currently of interest, especially because of several factors affecting the quality of RNA samples that are not practically predictable. In fact, post-mortem RNA degradation is a complex process that has not been studied systematically. The purpose of this work is to establish whether RNA analysis from post-mortem heart tissue could be used as a forensic tool to investigate the cause of death, with special regard to those cases where a cardiac disease is suspected as the manner of death. We analysed heart tissue from 16 individuals with normal cardiac function, 9 with long post-mortem intervals (L-PMI) and 7 from organ donors with very short PMIs (S-PMIs). Right ventricle tissue was homogenised, and the RNA was isolated and reverse transcribed. The resulting cDNA was used in real-time PCR reactions to quantify the gene expression of beta-glucuronidase (GUSB), Nitric Oxide Synthase 3 (NOS3), Collagen 1 (COL1A1) and Collagen 3 (COL3A1). The percentage of samples with high-quality RNA was higher in samples with S-PMI (7 out of 7) than in samples with L-PMI (4 out of 9, p < 0.05). No differences in PMI time or cause of exitus were found between samples with degraded or non-degraded RNA in the L-PMI group. When comparing mRNA levels in samples with non-degraded RNA, we found similar values between the L-PMI and S-PMI groups for GUSB, COL1A1 and COL3A1. The NOS3 gene expression in the L-PMI subgroup was less than half that in the S-PMI. These results suggest that high-quality mRNA can be extracted from post-mortem human hearts only in some cases. Moreover, our data show that mRNA levels are independent from the PMI, even though there are mRNAs in which the expression levels are very susceptible to ischemia times. Clear knowledge about the relationship between mRNA integrity and expression and PMI could allow the use of several mRNAs as forensic tools to contribute to the determination of the cause of death with special regard to cardiovascular diseases." @default.
• W2017397961 created "2016-06-24" @default.
• W2017397961 creator A5008624040 @default.
• W2017397961 creator A5014389868 @default.
• W2017397961 creator A5022139137 @default.
• W2017397961 creator A5024008466 @default.
• W2017397961 creator A5024579079 @default.
• W2017397961 creator A5037457906 @default.
• W2017397961 creator A5038168534 @default.
• W2017397961 creator A5049222423 @default.
• W2017397961 creator A5056473012 @default.
• W2017397961 creator A5068115433 @default.
• W2017397961 creator A5069417979 @default.
• W2017397961 creator A5076937932 @default.
• W2017397961 date "2010-12-01" @default.
• W2017397961 modified "2023-10-16" @default.
• W2017397961 title "Analysis of mRNA from human heart tissue and putative applications in forensic molecular pathology" @default.
• W2017397961 cites W1503910694 @default.
• W2017397961 cites W1685097840 @default.
• W2017397961 cites W1971695370 @default.
• W2017397961 cites W1975499169 @default.
• W2017397961 cites W1992131942 @default.
• W2017397961 cites W1993929326 @default.
• W2017397961 cites W2018725084 @default.
• W2017397961 cites W2021959636 @default.
• W2017397961 cites W2031203524 @default.
• W2017397961 cites W2031445075 @default.
• W2017397961 cites W2049571136 @default.
• W2017397961 cites W2057572679 @default.
• W2017397961 cites W2066316784 @default.
• W2017397961 cites W2082183788 @default.
• W2017397961 cites W2090829912 @default.
• W2017397961 cites W2106768333 @default.
• W2017397961 cites W2113083842 @default.
• W2017397961 cites W2121215171 @default.
• W2017397961 cites W2123694831 @default.
• W2017397961 cites W2133797667 @default.
• W2017397961 cites W2134441514 @default.
• W2017397961 cites W2136273830 @default.
• W2017397961 cites W2145829285 @default.
• W2017397961 cites W2154503628 @default.
• W2017397961 cites W2163792427 @default.
• W2017397961 cites W2325291382 @default.
• W2017397961 doi "https://doi.org/10.1016/j.forsciint.2010.07.005" @default.
• W2017397961 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/20705404" @default.
• W2017397961 hasPublicationYear "2010" @default.
• W2017397961 type Work @default.
• W2017397961 sameAs 2017397961 @default.
• W2017397961 citedByCount "38" @default.
• W2017397961 countsByYear W20173979612012 @default.
• W2017397961 countsByYear W20173979612013 @default.
• W2017397961 countsByYear W20173979612014 @default.
• W2017397961 countsByYear W20173979612015 @default.
• W2017397961 countsByYear W20173979612016 @default.
• W2017397961 countsByYear W20173979612017 @default.
• W2017397961 countsByYear W20173979612018 @default.
• W2017397961 countsByYear W20173979612020 @default.
• W2017397961 countsByYear W20173979612021 @default.
• W2017397961 countsByYear W20173979612022 @default.
• W2017397961 countsByYear W20173979612023 @default.
• W2017397961 crossrefType "journal-article" @default.
• W2017397961 hasAuthorship W2017397961A5008624040 @default.
• W2017397961 hasAuthorship W2017397961A5014389868 @default.
• W2017397961 hasAuthorship W2017397961A5022139137 @default.
• W2017397961 hasAuthorship W2017397961A5024008466 @default.
• W2017397961 hasAuthorship W2017397961A5024579079 @default.
• W2017397961 hasAuthorship W2017397961A5037457906 @default.
• W2017397961 hasAuthorship W2017397961A5038168534 @default.
• W2017397961 hasAuthorship W2017397961A5049222423 @default.
• W2017397961 hasAuthorship W2017397961A5056473012 @default.
• W2017397961 hasAuthorship W2017397961A5068115433 @default.
• W2017397961 hasAuthorship W2017397961A5069417979 @default.
• W2017397961 hasAuthorship W2017397961A5076937932 @default.
• W2017397961 hasConcept C104317684 @default.
• W2017397961 hasConcept C105580179 @default.
• W2017397961 hasConcept C142724271 @default.
• W2017397961 hasConcept C150194340 @default.
• W2017397961 hasConcept C153911025 @default.
• W2017397961 hasConcept C187882448 @default.
• W2017397961 hasConcept C2909005709 @default.
• W2017397961 hasConcept C55493867 @default.
• W2017397961 hasConcept C67705224 @default.
• W2017397961 hasConcept C71924100 @default.
• W2017397961 hasConcept C86803240 @default.
• W2017397961 hasConceptScore W2017397961C104317684 @default.
• W2017397961 hasConceptScore W2017397961C105580179 @default.
• W2017397961 hasConceptScore W2017397961C142724271 @default.
• W2017397961 hasConceptScore W2017397961C150194340 @default.
• W2017397961 hasConceptScore W2017397961C153911025 @default.
• W2017397961 hasConceptScore W2017397961C187882448 @default.
• W2017397961 hasConceptScore W2017397961C2909005709 @default.
• W2017397961 hasConceptScore W2017397961C55493867 @default.
• W2017397961 hasConceptScore W2017397961C67705224 @default.
• W2017397961 hasConceptScore W2017397961C71924100 @default.
• W2017397961 hasConceptScore W2017397961C86803240 @default.
• W2017397961 hasIssue "1-3" @default.
• W2017397961 hasLocation W20173979611 @default.
• W2017397961 hasLocation W20173979612 @default.

• next