Your browser doesn't support javascript.
loading
Forensically relevant anatomical brain regions cannot be sub-differentiated by RNA expression analysis.
Euteneuer, Jan; Moitinho-Silva, Lucas; Courts, Cornelius.
Afiliação
  • Euteneuer J; Institute of Forensic Medicine, University Hospital of Schleswig-Holstein, Arnold-Heller-Strasse 12, 24105, Kiel, Germany.
  • Moitinho-Silva L; Institute of Clinical Molecular Biology, University of Kiel, Kiel, Germany.
  • Courts C; Institute of Forensic Medicine, University Hospital of Schleswig-Holstein, Arnold-Heller-Strasse 12, 24105, Kiel, Germany. cornelius.courts@uk-koeln.de.
Article em En | MEDLINE | ID: mdl-38294632
ABSTRACT
The contextualization of biological traces generated by severe head injuries can be beneficial for criminal investigations. Here we aimed to identify and validate mRNA candidates for a robust sub-differentiation of forensically and traumatologically relevant brain regions. To this purpose, massively parallel sequencing of whole transcriptomes in sample material taken from four different areas of the cerebral cortex (frontal, temporal, parietal, occipital lobe) was performed, followed by bioinformatical data analysis, classification, and biostatistical candidate selection. Candidates were evaluated by Multiplex-RT-PCR and capillary electrophoresis. Only a weak relative upregulation and solely for candidates expressed in the parietal lobe was observed. Two candidates with upregulation in the cerebellar region (PVALB and CDR2L) were chosen for further investigation; however, PVALB could not reliably and repeatedly be detected in any lobe whereas CDR2L was detectable in all lobes. Consequently, we suggest that differences in mRNA expression between four regions of the cerebral cortex are too small and less pronounced to be useful for and applicable in forensic RNA analysis. We conclude that sub-differentiation of these brain regions via RNA expression analysis is generally not feasible within a forensic scope.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article